From dbe9c17a58cc1884d1385e8ddb534ee08913e4f2 Mon Sep 17 00:00:00 2001 From: liurui Date: Wed, 20 Nov 2024 07:18:34 +0800 Subject: [PATCH] =?UTF-8?q?=E9=A2=84=E6=B5=8B=E5=9B=BE=E8=B0=83=E8=AF=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Untitled1.ipynb | 3295 ------------------ juxitingdataset/df_combined3.csv | 412 +-- juxitingdataset/jbsh_juxiting.db | Bin 69632 -> 73728 bytes juxitingdataset/testandpredict_groupby.csv | 407 +-- juxitingdataset/历史价格-预测值.png | Bin 146150 -> 133158 bytes juxitingdataset/特征频度统计.csv | 2 +- juxitingdataset/特征频度统计.txt | 2 +- yuanyoudataset/jbsh_yuanyou.db | Bin 77824 -> 77824 bytes 预测值绘图调试.ipynb | 3535 ++++++++++++++++++++ 9 files changed, 3949 insertions(+), 3704 deletions(-) delete mode 100644 Untitled1.ipynb create mode 100644 预测值绘图调试.ipynb diff --git a/Untitled1.ipynb b/Untitled1.ipynb deleted file mode 100644 index 5f41f84..0000000 --- a/Untitled1.ipynb +++ /dev/null @@ -1,3295 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "7fadc60c-d710-4b8c-89cd-1d889ece1eaf", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From C:\\Users\\EDY\\AppData\\Roaming\\Python\\Python311\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "读取本地数据：juxitingdataset\\PP指标数据.xlsx\n", - "读取本地数据：juxitingdataset\\PP指标数据.xlsx\n", - "getdata接收：juxitingdataset\\PP指标数据.xlsx date \n", - "getdata接收：juxitingdataset\\PP指标数据.xlsx date \n", - "删除两月不更新特征前数据量：(2515, 354)\n", - "删除两月不更新特征前数据量：(2515, 354)\n", - "删除两月不更新特征后数据量：(2515, 315)\n", - "删除两月不更新特征后数据量：(2515, 315)\n", - "删除预测列为空值的行后数据量：(771, 315)\n", - "删除预测列为空值的行后数据量：(771, 315)\n", - "删除全为空值的列后数据量：(771, 315)\n", - "删除全为空值的列后数据量：(771, 315)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - "d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " values.dropna(inplace=True,axis=0)\n", - " 日度(219) 周度(94) 21天(1)\n", - "0 PP主力收盘价拟合残差/丙烷 CP M1 PE注塑开工率/周 中国：华东地区：市场平均价：BOPP厚光膜\n", - "1 华南聚丙烯基差（折盘面收盘价） PP：看跌比例：中国（周） \n", - "2 华北聚丙烯基差（折盘面收盘价） PP：看平比例：中国（周） \n", - "3 华东聚丙烯基差（折盘面收盘价） PP：看升比例：中国（周） \n", - "4 煤制聚丙烯利润 PP看空情绪指数环差 \n", - ".. ... ... ...\n", - "214 PE期货收盘价 \n", - "215 PP连续-1月 \n", - "216 PP连续-5月 \n", - "217 PP连续-9月 \n", - "218 y \n", - "\n", - "[219 rows x 3 columns]\n", - " 日度(219) 周度(94) 21天(1)\n", - "0 PP主力收盘价拟合残差/丙烷 CP M1 PE注塑开工率/周 中国：华东地区：市场平均价：BOPP厚光膜\n", - "1 华南聚丙烯基差（折盘面收盘价） PP：看跌比例：中国（周） \n", - "2 华北聚丙烯基差（折盘面收盘价） PP：看平比例：中国（周） \n", - "3 华东聚丙烯基差（折盘面收盘价） PP：看升比例：中国（周） \n", - "4 煤制聚丙烯利润 PP看空情绪指数环差 \n", - ".. ... ... ...\n", - "214 PE期货收盘价 \n", - "215 PP连续-1月 \n", - "216 PP连续-5月 \n", - "217 PP连续-9月 \n", - "218 y \n", - "\n", - "[219 rows x 3 columns]\n", - "特征信息：总共有312个,日度(219),周度(94),21天(1), 详看 附1、特征列表\n", - " 数据特征工程：\n", - " 1. 数据日期排序，新日期在最后\n", - " 2. 删除空列，特征数据列没有值，就删除\n", - " 3. 删除近两月不再更新值的指标\n", - " 4. 非日度数据填充为日度数据，填充规则：\n", - " -- 向后填充，举例：假设周五出现一个周度指标数据，那么在这之前的数据用上周五的数据\n", - " -- 向前填充，举例：采集数据开始日期为2018年1月1日，那么周度数据可能是2018年1月3日，那么3日的数据向前填充，使1日2日都有数值\n", - " 数据特征相关性分析：\n", - " \n", - "特征信息：总共有312个,日度(219),周度(94),21天(1), 详看 附1、特征列表\n", - " 数据特征工程：\n", - " 1. 数据日期排序，新日期在最后\n", - " 2. 删除空列，特征数据列没有值，就删除\n", - " 3. 删除近两月不再更新值的指标\n", - " 4. 非日度数据填充为日度数据，填充规则：\n", - " -- 向后填充，举例：假设周五出现一个周度指标数据，那么在这之前的数据用上周五的数据\n", - " -- 向前填充，举例：采集数据开始日期为2018年1月1日，那么周度数据可能是2018年1月3日，那么3日的数据向前填充，使1日2日都有数值\n", - " 数据特征相关性分析：\n", - " \n", - "********************************************************************************************************************************************************************************************************\n", - "********************************************************************************************************************************************************************************************************\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 读取配置\n", - "from lib import *\n", - "from lib.dataread import *\n", - "from lib.tools import *\n", - "from models.nerulforcastmodels import ex_Model,model_losss,brent_export_pdf,tansuanli_export_pdf,pp_export_pdf,model_losss_juxiting\n", - "\n", - "import glob\n", - "import torch\n", - "torch.set_float32_matmul_precision(\"high\")\n", - "\n", - "sqlitedb = SQLiteHandler(db_name) \n", - "sqlitedb.connect()\n", - "\n", - "signature = BinanceAPI(APPID, SECRET)\n", - "etadata = EtaReader(signature=signature,\n", - " classifylisturl = classifylisturl,\n", - " classifyidlisturl=classifyidlisturl,\n", - " edbcodedataurl=edbcodedataurl,\n", - " edbcodelist=edbcodelist,\n", - " edbdatapushurl=edbdatapushurl,\n", - " edbdeleteurl=edbdeleteurl,\n", - " edbbusinessurl=edbbusinessurl\n", - " )\n", - "# 获取数据\n", - "if is_eta:\n", - " # eta数据\n", - " logger.info('从eta获取数据...')\n", - " signature = BinanceAPI(APPID, SECRET)\n", - " etadata = EtaReader(signature=signature,\n", - " classifylisturl = classifylisturl,\n", - " classifyidlisturl=classifyidlisturl,\n", - " edbcodedataurl=edbcodedataurl,\n", - " edbcodelist=edbcodelist,\n", - " edbdatapushurl=edbdatapushurl,\n", - " edbdeleteurl=edbdeleteurl,\n", - " edbbusinessurl=edbbusinessurl,\n", - " )\n", - " df_zhibiaoshuju,df_zhibiaoliebiao = etadata.get_eta_api_pp_data(data_set=data_set,dataset=dataset) # 原始数据，未处理\n", - "\n", - " # 数据处理\n", - " df = datachuli_juxiting(df_zhibiaoshuju,df_zhibiaoliebiao,y = y,dataset=dataset,add_kdj=add_kdj,is_timefurture=is_timefurture,end_time=end_time) \n", - "\n", - "else:\n", - " logger.info('读取本地数据：'+os.path.join(dataset,data_set))\n", - " df = getdata_juxiting(filename=os.path.join(dataset,data_set),y=y,dataset=dataset,add_kdj=add_kdj,is_timefurture=is_timefurture,end_time=end_time) # 原始数据，未处理\n", - "\n", - "# 更改预测列名称\n", - "df.rename(columns={y:'y'},inplace=True)\n", - " \n", - "if is_edbnamelist:\n", - " df = df[edbnamelist] \n", - "df.to_csv(os.path.join(dataset,'指标数据.csv'), index=False)\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "ae059224-976c-4839-b455-f81da7f25179", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "更新数据sqlUPDATE trueandpredict SET ds = '2024-11-18 00:00:00', y = '7363.333333333333' WHERE ds = '2024-11-18 00:00:00'\n", - "更新数据sqlUPDATE trueandpredict SET ds = '2024-11-18 00:00:00', y = '7363.333333333333' WHERE ds = '2024-11-18 00:00:00'\n" - ] - } - ], - "source": [ - "# 保存最新日期的y值到数据库\n", - "# 取第一行数据存储到数据库中\n", - "first_row = df[['ds','y']].tail(1)\n", - "# 将最新真实值保存到数据库\n", - "if not sqlitedb.check_table_exists('trueandpredict'):\n", - " first_row.to_sql('trueandpredict',sqlitedb.connection,index=False)\n", - "else:\n", - " for row in first_row.itertuples(index=False):\n", - " row_dict = row._asdict()\n", - " row_dict['ds'] = row_dict['ds'].strftime('%Y-%m-%d %H:%M:%S')\n", - " check_query = sqlitedb.select_data('trueandpredict',where_condition = f\"ds = '{row.ds}'\")\n", - " if len(check_query) > 0:\n", - " set_clause = \", \".join([f\"{key} = '{value}'\" for key, value in row_dict.items()])\n", - " sqlitedb.update_data('trueandpredict',set_clause,where_condition = f\"ds = '{row.ds}'\")\n", - " continue\n", - " sqlitedb.insert_data('trueandpredict',tuple(row_dict.values()),columns=row_dict.keys())\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "abb597fc-c5f3-4d76-8099-5eff358cb634", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "今天是周一，更新预测模型\n", - "今天是周一，更新预测模型\n", - "最近20天预测残差最低的模型名称：NHITS\n", - "最近20天预测残差最低的模型名称：NHITS\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(16, 23)\n", - "(12, 22)\n", - "1 TSMixerx_abs_error_rate\n", - "2 TCN_abs_error_rate\n", - "3 NHITS_abs_error_rate\n", - "4 NHITS_abs_error_rate\n", - "5 Informer_abs_error_rate\n", - "8 BiTCN_abs_error_rate\n", - "9 PatchTST_abs_error_rate\n", - "10 TSMixer_abs_error_rate\n", - "11 BiTCN_abs_error_rate\n", - "12 StemGNN_abs_error_rate\n", - "13 Informer_abs_error_rate\n", - "14 NLinear_abs_error_rate\n", - "dtype: object\n" - ] - } - ], - "source": [ - "import datetime\n", - "# 判断当前日期是不是周一\n", - "is_weekday = datetime.datetime.now().weekday() == 1\n", - "if is_weekday:\n", - " logger.info('今天是周一，更新预测模型')\n", - " # 计算最近20天预测残差最低的模型名称\n", - "\n", - " model_results = sqlitedb.select_data('trueandpredict',order_by = \"ds DESC\",limit = \"20\")\n", - " # 删除空值率为40%以上的列\n", - " print(model_results.shape)\n", - " model_results = model_results.dropna(thresh=len(model_results)*0.6,axis=1)\n", - " model_results = model_results.dropna()\n", - " print(model_results.shape)\n", - " modelnames = model_results.columns.to_list()[2:] \n", - " for col in model_results[modelnames].select_dtypes(include=['object']).columns:\n", - " model_results[col] = model_results[col].astype(np.float32)\n", - " # 计算每个预测值与真实值之间的偏差率\n", - " for model in modelnames:\n", - " model_results[f'{model}_abs_error_rate'] = abs(model_results['y'] - model_results[model]) / model_results['y']\n", - "\n", - " # 获取每行对应的最小偏差率值\n", - " min_abs_error_rate_values = model_results.apply(lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].min(), axis=1)\n", - " # 获取每行对应的最小偏差率值对应的列名\n", - " min_abs_error_rate_column_name = model_results.apply(lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].idxmin(), axis=1)\n", - " print(min_abs_error_rate_column_name)\n", - " # 将列名索引转换为列名\n", - " min_abs_error_rate_column_name = min_abs_error_rate_column_name.map(lambda x: x.split('_')[0])\n", - " # 取出现次数最多的模型名称\n", - " most_common_model = min_abs_error_rate_column_name.value_counts().idxmax()\n", - " logger.info(f\"最近20天预测残差最低的模型名称：{most_common_model}\")\n", - "\n", - " # 保存结果到数据库\n", - " \n", - " if not sqlitedb.check_table_exists('most_model'):\n", - " sqlitedb.create_table('most_model',columns=\"ds datetime, most_common_model TEXT\")\n", - " sqlitedb.insert_data('most_model',(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'),most_common_model,),columns=('ds','most_common_model',))\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "ade7026e-8cf2-405f-a2da-9e90f364adab", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "开始训练模型...\n", - "开始训练模型...\n" - ] - } - ], - "source": [ - "if is_corr:\n", - " df = corr_feature(df=df)\n", - "\n", - "df1 = df.copy() # 备份一下，后面特征筛选完之后加入ds y 列用\n", - "logger.info(f\"开始训练模型...\")\n", - "row,col = df.shape\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dfef57d8-36da-423b-bbe7-05a13e15f71b", - "metadata": {}, - "outputs": [], - "source": [ - "now = datetime.datetime.now().strftime('%Y%m%d%H%M%S')\n", - "# ex_Model(df,\n", - "# horizon=horizon,\n", - "# input_size=input_size,\n", - "# train_steps=train_steps,\n", - "# val_check_steps=val_check_steps,\n", - "# early_stop_patience_steps=early_stop_patience_steps,\n", - "# is_debug=is_debug,\n", - "# dataset=dataset,\n", - "# is_train=is_train,\n", - "# is_fivemodels=is_fivemodels,\n", - "# val_size=val_size,\n", - "# test_size=test_size,\n", - "# settings=settings,\n", - "# now=now,\n", - "# etadata = etadata,\n", - "# modelsindex = modelsindex,\n", - "# data = data,\n", - "# is_eta=is_eta,\n", - "# )\n" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "id": "0e5b6f30-b7ca-4718-97a3-48b54156e07f", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "模型训练完成\n", - "模型训练完成\n", - "训练数据绘图ing\n", - "训练数据绘图ing\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_8336\\3546220967.py:119: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " first_row['ds'] = first_row['ds'].dt.strftime('%Y-%m-%d 00:00:00')\n", - "训练数据绘图end\n", - "训练数据绘图end\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "方差为： 783.5712373318445\n", - "最佳模型两倍方差\n", - " ds NHITS Informer LSTM iTransformer TSMixer \\\n", - "0 2024-11-19 7359.2050 7325.4340 7374.6274 7342.0290 7352.7837 \n", - "1 2024-11-20 7339.6730 7303.2560 7375.4020 7320.6665 7341.1157 \n", - "2 2024-11-21 7313.6357 7310.4240 7380.7524 7315.6226 7321.9478 \n", - "3 2024-11-22 7296.4775 7321.0250 7392.4790 7309.1006 7300.3430 \n", - "4 2024-11-25 7286.6978 7319.3916 7421.4077 7314.2144 7278.5120 \n", - "\n", - " TSMixerx PatchTST RNN GRU TCN BiTCN \\\n", - "0 7343.613 7342.7300 7372.2515 7381.7810 7449.0703 7317.2397 \n", - "1 7339.045 7337.2275 7369.6200 7401.5024 7449.8086 7307.5415 \n", - "2 7387.099 7330.4020 7346.7344 7399.8660 7443.9330 7302.4478 \n", - "3 7376.246 7299.7417 7331.8857 7405.1810 7451.1577 7291.0230 \n", - "4 7335.186 7267.7980 7370.6760 7405.2725 7454.4453 7288.7314 \n", - "\n", - " DilatedRNN MLP DLinear NLinear TFT StemGNN \\\n", - "0 7350.6070 7326.6610 7375.8584 7335.6030 7364.0600 7345.6040 \n", - "1 7353.7030 7321.7114 7326.1914 7327.6973 7355.3086 7343.6250 \n", - "2 7366.7440 7310.2020 7341.9395 7341.7840 7348.7305 7331.5440 \n", - "3 7360.9110 7294.7803 7323.8164 7406.1123 7343.8184 7342.9673 \n", - "4 7384.3545 7295.8447 7330.9560 7369.3687 7341.7007 7353.8390 \n", - "\n", - " MLPMultivariate TiDE DeepNPTS min_model max_model \\\n", - "0 7354.3696 7365.8433 7367.1430 NHITS_var_down NHITS_var_up \n", - "1 7344.1750 7327.1714 7372.8594 NHITS_var_down NHITS_var_up \n", - "2 7333.9355 7305.5030 7363.1160 NHITS_var_down NHITS_var_up \n", - "3 7315.0786 7304.2380 7363.3720 NHITS_var_down NHITS_var_up \n", - "4 7304.8780 7295.6865 7353.2183 NHITS_var_down NHITS_var_up \n", - "\n", - " min_within_quantile max_within_quantile \n", - "0 5792.062525 8926.347475 \n", - "1 5772.530525 8906.815475 \n", - "2 5746.493225 8880.778175 \n", - "3 5729.335025 8863.619975 \n", - "4 5719.555325 8853.840275 \n" - ] - } - ], - "source": [ - "logger.info('模型训练完成')\n", - "# # 模型评估\n", - "\n", - "pd.set_option('display.max_columns', 100)\n", - "# 计算预测评估指数\n", - "def model_losss_juxiting(sqlitedb):\n", - " global dataset\n", - " # 数据库查询最佳模型名称\n", - " most_model = [sqlitedb.select_data('most_model',columns=['most_common_model'],order_by='ds desc',limit=1).values[0][0]]\n", - " most_model_name = most_model[0]\n", - "\n", - " # 预测数据处理 predict\n", - " df_combined = loadcsv(os.path.join(dataset,\"cross_validation.csv\")) \n", - " df_combined = dateConvert(df_combined)\n", - " # 删除空列\n", - " df_combined.dropna(axis=1,inplace=True)\n", - " # 删除缺失值,预测过程不能有缺失值\n", - " df_combined.dropna(inplace=True) \n", - " # 其他列转为数值类型\n", - " df_combined = df_combined.astype({col: 'float32' for col in df_combined.columns if col not in ['cutoff','ds'] })\n", - " # 使用 groupby 和 transform 结合 lambda 函数来获取每个分组中 cutoff 的最小值，并创建一个新的列来存储这个最大值\n", - " df_combined['max_cutoff'] = df_combined.groupby('ds')['cutoff'].transform('max')\n", - "\n", - " # 然后筛选出那些 cutoff 等于 max_cutoff 的行，这样就得到了每个分组中 cutoff 最大的行，并保留了其他列\n", - " df_combined = df_combined[df_combined['cutoff'] == df_combined['max_cutoff']]\n", - " # 删除模型生成的cutoff列\n", - " df_combined.drop(columns=['cutoff', 'max_cutoff'], inplace=True)\n", - " # 获取模型名称\n", - " modelnames = df_combined.columns.to_list()[1:] \n", - " if 'y' in modelnames:\n", - " modelnames.remove('y')\n", - " df_combined3 = df_combined.copy() # 备份df_combined,后面画图需要\n", - "\n", - "\n", - " # 空的列表存储每个模型的MSE、RMSE、MAE、MAPE、SMAPE\n", - " cellText = []\n", - "\n", - " # 遍历模型名称，计算模型评估指标 \n", - " for model in modelnames:\n", - " modelmse = mse(df_combined['y'], df_combined[model])\n", - " modelrmse = rmse(df_combined['y'], df_combined[model])\n", - " modelmae = mae(df_combined['y'], df_combined[model])\n", - " # modelmape = mape(df_combined['y'], df_combined[model])\n", - " # modelsmape = smape(df_combined['y'], df_combined[model])\n", - " # modelr2 = r2_score(df_combined['y'], df_combined[model])\n", - " cellText.append([model,round(modelmse, 3), round(modelrmse, 3), round(modelmae, 3)])\n", - " \n", - " model_results3 = pd.DataFrame(cellText,columns=['模型(Model)','平均平方误差(MSE)', '均方根误差(RMSE)', '平均绝对误差(MAE)'])\n", - " # 按MSE降序排列\n", - " model_results3 = model_results3.sort_values(by='平均平方误差(MSE)', ascending=True)\n", - " model_results3.to_csv(os.path.join(dataset,\"model_evaluation.csv\"),index=False)\n", - " modelnames = model_results3['模型(Model)'].tolist()\n", - " allmodelnames = modelnames.copy()\n", - " # 保存5个最佳模型的名称\n", - " if len(modelnames) > 5:\n", - " modelnames = modelnames[0:5]\n", - " with open(os.path.join(dataset,\"best_modelnames.txt\"), 'w') as f:\n", - " f.write(','.join(modelnames) + '\\n')\n", - "\n", - "\n", - " # 根据最接近真实值的预测模型计算波动率，得到在波动率范围内的预测值确定通道边界\n", - "\n", - " best_models = pd.read_csv(os.path.join(dataset,'best_modelnames.txt'),header=None).values.flatten().tolist()\n", - " def find_min_max_within_quantile(row):\n", - " row = row[best_models]\n", - " q10 = row.min()\n", - " q90 = row.max()\n", - " # 获取 row行最大最小值模型名称\n", - " min_model = row[row == q10].idxmin()\n", - " max_model = row[row == q90].idxmin()\n", - " \n", - " # # 判断flot值是否为空值\n", - " # if pd.isna(q10) or pd.isna(q90):\n", - " return pd.Series([q10, q90,min_model,max_model], index=['min_within_quantile','max_within_quantile','min_model','max_model'])\n", - "\n", - " # 遍历行\n", - " df_combined3[['min_within_quantile', 'max_within_quantile','min_model','max_model']] = df_combined3.apply(find_min_max_within_quantile, axis=1)\n", - " df_combined = df_combined.round(4)\n", - " # print(df_combined3)\n", - "\n", - " \n", - " # 去除有空值的行\n", - " df_combined3.dropna(inplace=True)\n", - " # 保存到数据库\n", - " # df_combined3.to_sql('testandpredict_groupby', sqlitedb.connection, if_exists='replace', index=False)\n", - " df_combined3.to_csv(os.path.join(dataset,\"testandpredict_groupby.csv\"),index=False)\n", - "\n", - "\n", - " \n", - " # 预测值与真实值对比图\n", - " plt.rcParams['font.sans-serif'] = ['SimHei']\n", - " plt.figure(figsize=(15, 10))\n", - " # 设置有5个子图的画布\n", - " for n,model in enumerate(modelnames[:5]):\n", - " plt.subplot(3, 2, n+1)\n", - " plt.plot(df_combined3['ds'], df_combined3['y'], label='真实值')\n", - " plt.plot(df_combined3['ds'], df_combined3[model], label=model)\n", - " plt.legend()\n", - " plt.xlabel('日期')\n", - " plt.ylabel('价格')\n", - " plt.title(model+'拟合')\n", - " plt.subplots_adjust(hspace=0.5)\n", - " plt.savefig(os.path.join(dataset,'预测值与真实值对比图.png'), bbox_inches='tight')\n", - " plt.close()\n", - " \n", - " # 历史数据+预测数据\n", - " # 拼接未来时间预测\n", - " df_predict = loadcsv(os.path.join(dataset,'predict.csv'))\n", - " df_predict.drop('unique_id',inplace=True,axis=1)\n", - " df_predict.dropna(axis=1,inplace=True)\n", - "\n", - " try:\n", - " df_predict['ds'] = pd.to_datetime(df_predict['ds'],format=r'%Y-%m-%d')\n", - " except ValueError :\n", - " df_predict['ds'] = pd.to_datetime(df_predict['ds'],format=r'%Y/%m/%d')\n", - "\n", - " # 取第一行数据存储到数据库中\n", - " first_row = df_predict.head(1)\n", - " first_row['ds'] = first_row['ds'].dt.strftime('%Y-%m-%d 00:00:00')\n", - " # 将预测结果保存到数据库\n", - " # if not sqlitedb.check_table_exists('trueandpredict'):\n", - " # first_row.to_sql('trueandpredict',sqlitedb.connection,index=False)\n", - " # else:\n", - " # for col in first_row.columns:\n", - " # sqlitedb.add_column_if_not_exists('trueandpredict',col,'TEXT')\n", - " # for row in first_row.itertuples(index=False):\n", - " # row_dict = row._asdict()\n", - " # columns=row_dict.keys()\n", - " # check_query = sqlitedb.select_data('trueandpredict',where_condition = f\"ds = '{row.ds}'\")\n", - " # if len(check_query) > 0:\n", - " # set_clause = \", \".join([f\"{key} = '{value}'\" for key, value in row_dict.items()])\n", - " # sqlitedb.update_data('trueandpredict',set_clause,where_condition = f\"ds = '{row.ds}'\")\n", - " # continue\n", - " # sqlitedb.insert_data('trueandpredict',tuple(row_dict.values()),columns=columns)\n", - "\n", - " # 计算df_combined3[min_within_quantile] 和 df_combined3[most_model] 的方差\n", - " diff = df_combined3['min_within_quantile']-df_combined3[most_model_name]\n", - " var = diff.var()\n", - " print('方差为：',var)\n", - " df_predict['min_model'] = f'{most_model_name}_var_down'\n", - " df_predict['max_model'] = f'{most_model_name}_var_up'\n", - " # 找到大于最佳模型预测值-2倍方差的值\n", - " df_predict['min_within_quantile'] = df_predict[most_model_name]-var\n", - " df_combined3['min_within_quantile'] = df_combined3[most_model_name]-var\n", - " # 找到小于最佳模型预测值+2倍方差的值\n", - " df_predict['max_within_quantile'] = df_predict[most_model_name]+2*var\n", - " df_combined3['max_within_quantile'] = df_combined3[most_model_name]+var\n", - " print('最佳模型两倍方差')\n", - " print(df_predict)\n", - " df_predict2 = df_predict.copy()\n", - " df_predict2['ds'] = df_predict2['ds'].dt.strftime('%Y-%m-%d 00:00:00')\n", - "\n", - "\n", - " # # 将预测结果保存到数据库\n", - " # # 判断表存在\n", - " # if not sqlitedb.check_table_exists('testandpredict_groupby'):\n", - " # df_predict2.to_sql('testandpredict_groupby',sqlitedb.connection,index=False)\n", - " # else:\n", - " # for row in df_predict2.itertuples(index=False):\n", - " # row_dict = row._asdict()\n", - " # check_query = sqlitedb.select_data('testandpredict_groupby',where_condition = f\"ds = '{row.ds}'\")\n", - " # if len(check_query) > 0:\n", - " # set_clause = \", \".join([f\"{key} = '{value}'\" for key, value in row_dict.items()])\n", - " # sqlitedb.update_data('testandpredict_groupby',set_clause,where_condition = f\"ds = '{row.ds}'\")\n", - " # continue\n", - " # sqlitedb.insert_data('testandpredict_groupby',tuple(row_dict.values()),columns=row_dict.keys())\n", - "\n", - " # # 计算每个预测值与真实值之间的偏差率\n", - " # for model in allmodelnames:\n", - " # df_combined3[f'{model}_abs_error_rate'] = abs(df_combined3['y'] - df_combined3[model]) / df_combined3['y']\n", - "\n", - " # # 获取每行对应的最小偏差率值\n", - " # min_abs_error_rate_values = df_combined3.apply(lambda row: row[[f'{model}_abs_error_rate' for model in allmodelnames]].min(), axis=1)\n", - " # # 获取每行对应的最小偏差率值对应的列名\n", - " # min_abs_error_rate_column_name = df_combined3.apply(lambda row: row[[f'{model}_abs_error_rate' for model in allmodelnames]].idxmin(), axis=1)\n", - " # # 将列名索引转换为列名\n", - " # min_abs_error_rate_column_name = min_abs_error_rate_column_name.map(lambda x: x.split('_')[0])\n", - " # # 获取最小偏差率对应的模型的预测值\n", - " # min_abs_error_rate_predictions = df_combined3.apply(lambda row: row[min_abs_error_rate_column_name[row.name]], axis=1)\n", - " # # 将最小偏差率对应的模型的预测值添加到DataFrame中\n", - " # df_combined3['min_abs_error_rate_prediction'] = min_abs_error_rate_predictions\n", - " # df_combined3['min_abs_error_rate_column_name'] = min_abs_error_rate_column_name\n", - " # df_combined3 = pd.concat([df_combined3, df_predict]).reset_index(drop=True)\n", - " # # 判断 df 的数值列转为float\n", - " # for col in df_combined3.columns:\n", - " # try:\n", - " # if col != 'ds':\n", - " # df_combined3[col] = df_combined3[col].astype(float)\n", - " # df_combined3[col] = df_combined3[col].round(2)\n", - " # except ValueError:\n", - " # pass\n", - " # df_combined3.to_csv(os.path.join(dataset,\"df_combined3.csv\"),index=False) \n", - " \n", - " # # 历史价格+预测价格\n", - " # df_combined3 = df_combined3[-50:] # 取50个数据点画图\n", - " # # 历史价格\n", - " # plt.figure(figsize=(20, 10))\n", - " # plt.plot(df_combined3['ds'], df_combined3['y'], label='真实值')\n", - " # # 颜色填充\n", - " # plt.fill_between(df_combined3['ds'], df_combined3['min_within_quantile'], df_combined3['max_within_quantile'], alpha=0.2)\n", - " # # plt.plot(df_combined3['ds'], df_combined3['min_abs_error_rate_prediction'], label='最小绝对误差', linestyle='--', color='orange')\n", - " # # 网格\n", - " # plt.grid(True)\n", - " # # 显示历史值\n", - " # for i, j in zip(df_combined3['ds'], df_combined3['y']):\n", - " # plt.text(i, j, str(j), ha='center', va='bottom')\n", - "\n", - " \n", - "\n", - " # for model in most_model:\n", - " # plt.plot(df_combined3['ds'], df_combined3[model], label=model,marker='o')\n", - " # # 当前日期画竖虚线\n", - " # plt.axvline(x=df_combined3['ds'].iloc[-horizon], color='r', linestyle='--')\n", - " # plt.legend()\n", - " # plt.xlabel('日期')\n", - " # plt.ylabel('价格')\n", - " \n", - " # plt.savefig(os.path.join(dataset,'历史价格-预测值.png'), bbox_inches='tight')\n", - " # plt.close()\n", - " \n", - " # # 预测值表格\n", - " # fig, ax = plt.subplots(figsize=(20, 6))\n", - " # ax.axis('off') # 关闭坐标轴\n", - " # # 数值保留2位小数\n", - " # df_combined3 = df_combined3.round(2)\n", - " # df_combined3 = df_combined3[-horizon:]\n", - " # df_combined3['Day'] = [f'Day_{i}' for i in range(1,horizon+1)]\n", - " # # Day列放到最前面\n", - " # df_combined3 = df_combined3[['Day'] + list(df_combined3.columns[:-1])]\n", - " # table = ax.table(cellText=df_combined3.values, colLabels=df_combined3.columns, loc='center')\n", - " # #加宽表格\n", - " # table.auto_set_font_size(False)\n", - " # table.set_fontsize(10)\n", - "\n", - " # # 设置表格样式，列数据最小的用绿色标识\n", - " # plt.savefig(os.path.join(dataset,'预测值表格.png'), bbox_inches='tight')\n", - " # plt.close()\n", - " # # plt.show()\n", - " \n", - " # # 可视化评估结果\n", - " # plt.rcParams['font.sans-serif'] = ['SimHei']\n", - " # fig, ax = plt.subplots(figsize=(20, 10))\n", - " # ax.axis('off') # 关闭坐标轴\n", - " # table = ax.table(cellText=model_results3.values, colLabels=model_results3.columns, loc='center')\n", - " # # 加宽表格\n", - " # table.auto_set_font_size(False)\n", - " # table.set_fontsize(10)\n", - "\n", - " # # 设置表格样式，列数据最小的用绿色标识\n", - " # plt.savefig(os.path.join(dataset,'模型评估.png'), bbox_inches='tight')\n", - " # plt.close()\n", - " # return model_results3\n", - "\n", - "\n", - "\n", - "\n", - "logger.info('训练数据绘图ing')\n", - "model_results3 = model_losss_juxiting(sqlitedb)\n", - "\n", - "logger.info('训练数据绘图end')\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "85b557de-8235-4e27-b5b8-58b36dfe6724", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "制作报告ing\n", - "制作报告ing\n", - "开始绘制价差类指标的相关性直方图\n", - "开始绘制价差类指标的相关性直方图\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "价差下正相关的特征值有： ['PP期货-丙烯价差（山东）/400DMA', 'PP-SC价差（7吨桶比）', '布伦特-PP价差（盘面）', '薄壁-拉丝价差（华北）', 'PP-FEI M4(含税成本)', '油制PP利润（华东）', 'PP-FEI M3(含税成本)', '价差：聚乙烯与乙烯（西北欧）', 'PP-FEI M2（含税成本）', 'PP-FEI M1（含税成本）', 'PP加权利润', '滨化PDH利润（1.169/含税）', 'PDH利润（山东/丙烯）', 'PP-FEI价差', '外采丙烯制聚丙烯利润（华东）', '5-9月差（PP）', '9-1月差（PP）']\n", - "正在绘制第1个特征PP期货-丙烯价差（山东）/400DMA与价格散点图...\n", - "正在绘制第2个特征PP-SC价差（7吨桶比）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第3个特征布伦特-PP价差（盘面）与价格散点图...\n", - "正在绘制第4个特征薄壁-拉丝价差（华北）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第5个特征PP-FEI M4(含税成本)与价格散点图...\n", - "价差下负相关的特征值有： ['L-P价差', 'L-P价差（盘面）', 'PDH制PP利润（山东）', '低熔共聚-拉丝价差（华南）', '外采丙烯制聚丙烯利润（山东）', 'PDH制PP利润（华南）', '京博-滨化价差（不含税/1.13/580）', 'PP现货-丙烯价差（山东）', 'PP-3MA价差（盘面）', 'PP-3*MA主力', '透明-PP盘面价差（华北）', '透明-拉丝价差（华北）', 'PP期货-丙烯价差（山东）', 'PDH制PP利润（华东）指数修匀', 'PDH制PP利润（华东）', '华东拉丝-CP', '透明-PP盘面（华东）', 'LPG-PP价差（盘面）', '拉丝区域价差（华东-华北）', '透明-拉丝价差（华东）', 'PP盘中基差（临沂）', 'PP基差（盘中）', '外采甲醇制PP利润（西北）', '拉丝区域价差（华南-华北）', '滨化丙烷-PP边际贡献（不含税/510/收率1.169）', '滨化丙烯-京博PP边际贡献（不含税/600/收率1.169）', '粉粒价差（山东）', '外采甲醇制PP利润（太仓）', '1-5月差（PP）', '滨化丙烷-PP边际贡献（不含税/580/收率1.13）', '山东拉丝-CP', '山东拉丝-丙烯价差', '拉丝区域价差（华南-华东）']\n", - "正在绘制第1个特征L-P价差与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第2个特征L-P价差（盘面）与价格散点图...\n", - "正在绘制第3个特征PDH制PP利润（山东）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第4个特征低熔共聚-拉丝价差（华南）与价格散点图...\n", - "正在绘制第5个特征外采丙烯制聚丙烯利润（山东）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "价差类指标的相关性总和为：11.045084254496823\n", - "价差类指标的相关性总和为：11.045084254496823\n", - "d:\\code\\PriceForecast\\models\\nerulforcastmodels.py:1638: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", - " grouped_corr = pd.concat([grouped_corr, goup_corr], axis=0, ignore_index=True)\n", - "开始绘制价格类指标的相关性直方图\n", - "开始绘制价格类指标的相关性直方图\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "价格下正相关的特征值有： ['PP神华竞拍（临沂）', 'PP：拉丝：S1003：市场主流价：常州：国能榆林化工（日）', 'PP神华竞拍（华东）', 'BOPP：成本：中国（日）', 'PP：BOPP：1103K：出厂价：华北地区：国家能源宁煤（日）', 'PP拉丝国内现货价格', 'PP：BOPP：1103K：出厂价：华南地区：宁夏神华宁煤（日）', 'PP：BOPP：1103K：出厂价：华东地区：国家能源宁煤（日）', 'PP神华竞拍（西安）', 'PP：薄壁注塑：1040TE：出厂价：华东地区：宁夏神华宁煤（日）', 'PP：薄壁注塑：1040TE：出厂价：华南地区：宁夏神华宁煤（日）', 'PP主力盘中', 'PP：拉丝：S1003：市场主流价：东莞：宝丰能源（日）', 'PP：BOPP：PPH-F03D：出厂价：华南地区：海南炼化装置一（日）', 'PP粉料（山东）/拼接', 'PP.DCE收盘价', 'PP主力收盘价', 'PP无纺布生产成本（日）', 'PP：薄壁注塑：PPH-MN60：出厂价：华南地区：中石化北海（日）', 'PP：低熔共聚：K8003：出厂价：华东地区：东华能源（宁波）（日）', 'PP：薄壁注塑：BZ-70：出厂价：华北地区：寿光鲁清（日）', 'PP：中熔共聚：2043N：出厂价：华南地区：国家能源宁煤（日）', 'PP：中熔共聚：2043N：出厂价：华东地区：国家能源宁煤（日）', 'PP：薄壁注塑：TM6000H：出厂价：华南地区：福建联合石化（日）', 'PP：低熔共聚：2500H：市场价：厦门：国家能源宁煤（日）', 'PP：拉丝：1102K：市场价：临沂：国家能源宁煤（日）', 'PP：低熔共聚：K8003：自提价：广州：宝丰能源（日）', 'PP：透明：R3080T：出厂价：华东地区：浙江鸿基（日）', 'PP：中熔共聚：EP5010C：出厂价：华北地区：中沙天津（日）', 'PP：BOPP：PPH-FL03-S：出厂价：华北地区：青岛炼化（日）', 'PP：中熔共聚：SP179P：出厂价：华北地区：中石化齐鲁化工（日）', 'PP：拉丝：1102K：市场价：青州：国家能源宁煤（日）', 'PP：透明：R3260T：出厂价：华东地区：浙江鸿基（日）', 'PP：低熔共聚：K8003：自提价：宁波：国能榆林化工（日）', 'PP：低熔共聚：K8003：市场价：杭州：东华能源（宁波）（日）', 'PP粉料（山东）', 'PP：中熔共聚：EP440N：出厂价：华南地区：中科炼化（日）', 'PP：中熔共聚：YPJ1215C：出厂价：华东地区：扬子石化（日）', 'DCE：化工产品：期货价格指数收盘价（日）', 'PP：薄壁注塑：PPH-MM60：出厂价：华北地区：石家庄炼化（日）', 'PP：低熔共聚：EPS30R：市场价：临沂：榆能化（日）', 'PP：薄壁注塑：M60ET：出厂价：华东地区：镇海炼化（日）', 'CPP：二元共聚膜：PPR-F08-S：出厂价：华南地区：茂名石化（日）', 'CPP：二元共聚膜：PPR-F08M-S：出厂价：华南地区：茂名石化（日）', '现货价(中间价):均聚聚丙烯(PP-H):CFR远东', 'BOPP：厚光膜：出厂价：华北地区：山东永冠（日）', 'PP：无规共聚：HC-M700B：出厂价：华北地区：山东东明（日）', 'PP：透明：HC-RP340R：出厂价：华北地区：山东东明（日）', 'PP：低熔共聚：2500H：市场价：台州：国家能源宁煤（日）', 'PP：薄壁注塑：K1870-B：市场价：临沂：榆能化（日）', 'PP：高熔共聚：EP300R：市场价：青岛：宝来石化（日）', 'PP：高熔共聚：2240S：出厂价：华南地区：国家能源宁煤（日）', 'PP：高熔共聚：M30RH：市场价：合肥：中安联合（日）', '现货价(中间价):均聚聚丙烯(PP-H):FOB中东', 'DCE：塑料：期货价格指数收盘价（日）', 'PP：透明：HT9025ZK：出厂价：华南地区：中科炼化（日）', 'PP：中熔共聚：K8009：出厂价：华南地区：广州石化（日）', 'PP：透明：PPR-MT75N：出厂价：华中地区：中原中石化（日）', 'PP：透明：PPR-MT25：出厂价：华中地区：中原中石化（日）', 'BOPP：12μ光膜：出厂价：华北地区：凯达包装（日）', 'PP：高熔共聚：EP548R：市场价：临沂：万华化学（日）', 'PP：透明：PPR-B10：出厂价：华中地区：中原中石化（日）', '现货价(中间价):聚丙烯PP(纤维/注塑):CFR东南亚', 'PP：高熔共聚：EP548R：出厂价：华南地区：中海壳牌（日）', '热水管：YPR-503：出厂价：华东地区：扬子石化（日）', '热水管：T4401：出厂价：华南地区：茂名石化（日）', 'CPP：二元共聚膜：DY-W0723F：市场主流价：天津：独山子石化（日）', 'PP：高熔共聚：EP548R：市场价：广州：中科炼化（日）', 'PP：透明：HT9025NX：出厂价：华南地区：茂名石化（日）', '热水管：PA14D：出厂价：华东地区：大庆炼化（日）', '热水管：PPR-4220：出厂价：华南地区：广州石化（日）', '再生PP市场价/山东（日）', '现货价(中间价):聚丙烯PP(纤维/注塑):FAS休斯敦', '现货价(中间价):聚丙烯PP(纤维/注塑):FOB西北欧', 'CPP：二元共聚膜：F800EDF：出厂价：华东地区：上海石化（日）', '热水管：PA14D：市场价：青州：大庆炼化（日）', 'PP：透明：HT9025NX：市场主流价：广州：中石化茂名（日）', '西北欧：现货价：FOB低密度聚乙烯', 'PP：BOPP：F03BT：出厂价：华东地区：镇海炼化（日）', 'PP：高熔共聚：2240S：自提价：常州：国家能源宁煤（日）', '塑编：透明：30cm*45cm：市场价：山东（日）', 'BOPP：生产毛利：中国（日）', '塑编原材料库存天数', 'BOPP：18μ光膜：市场低端价：青岛（日）', 'PP：透明：M26ET：出厂价：华东地区：镇海炼化（日）', 'PP：透明：M08ETN：出厂价：华东地区：镇海炼化（日）', 'PP无纺布开工率', '塑编产成品库存', 'PET瓶片：利润：中国（日）7DMA', '塑编产成品库存天数', '塑编订单天数', 'PP：低熔共聚：市场价：华南地区（日）', 'CPP薄膜成本（日）', '中国BOPP订单天数', '中国BOPP原料库存天数', 'PP多空情绪强弱指数', 'PP主力收盘价拟合残差/丙烷 CP M1', 'PE注塑开工率/周', 'PP：BOPP：L5D98：出厂价：华南地区：广东石化（日）', 'PP：看升比例：中国（周）', '美国-中国PS（GPPS）价差', 'PP无纺布：生产毛利：中国（周）', '塑编整体开工率', '华南聚丙烯基差（折盘面收盘价）', '中国PP下游平均开工率', '华东聚丙烯基差（折盘面收盘价）', 'PP看空情绪指数环差', 'PP：看平比例：中国（周）']\n", - "正在绘制第1个特征PP神华竞拍（临沂）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第2个特征PP：拉丝：S1003：市场主流价：常州：国能榆林化工（日）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第3个特征PP神华竞拍（华东）与价格散点图...\n", - "正在绘制第4个特征BOPP：成本：中国（日）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第5个特征PP：BOPP：1103K：出厂价：华北地区：国家能源宁煤（日）与价格散点图...\n", - "价格下负相关的特征值有： ['中国PP无纺布原料库存天数', '中国PP无纺布成品库存天数', '中国PP无纺布原料库存量', 'PP无纺布：厂内库存：中国（周）', '中国BOPP成品库存量', '中国BOPP成品库存天数', '印度粉矿：57%Fe：品牌价格：青岛港', 'PP：看跌比例：中国（周）', 'PP管材开工率', 'PP：低熔共聚：2500HY：市场价：临沂：国家能源宁煤（日）', '煤制聚丙烯利润', 'CPP：二元共聚膜：F08EC：出厂价：华东地区：镇海炼化（日）', 'PP：低熔共聚：K8003：出厂价：临沂：宝丰能源（日）', 'BOPP开工率', 'PP：低熔共聚：K8003：出厂价：常州：宝丰能源（日）', 'PP：低熔共聚：K8003：出厂价：河北、鲁北：大唐内蒙多伦（日）', '华北聚丙烯基差（折盘面收盘价）', 'DCE：工业产品：期货价格综合指数收盘价（日）']\n", - "正在绘制第1个特征中国PP无纺布原料库存天数与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第2个特征中国PP无纺布成品库存天数与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第3个特征中国PP无纺布原料库存量与价格散点图...\n", - "正在绘制第4个特征PP无纺布：厂内库存：中国（周）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "价格类指标的相关性总和为：91.9826336555467\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第5个特征中国BOPP成品库存量与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "价格类指标的相关性总和为：91.9826336555467\n", - "开始绘制供应类指标的相关性直方图\n", - "开始绘制供应类指标的相关性直方图\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "供应下正相关的特征值有： ['PP开工率（1MMA）', 'PP周度开工率', 'PP开工率/7DMA', 'PP开工率/2WMA', 'PP日度开工率', 'PP/开工率/东北地区（日）', 'PP开工率/华中地区（日）', 'PP开工率/华南地区（日）', 'PP开工率/华北地区（日）', 'PP下游综合开工率（少注塑&CPP）', 'PP无纺布生产毛利', 'CPP：均聚：生产比例：中国（日）', 'PP：高熔纤维：生产比例：中国（日）', '中国再生PP周度开工负荷率同差', '冷水管：生产比例：中国（日）', 'PP粉料开工率（4WMA）', 'PP开工率/西北地区（日）', '中国再生PP周度开工负荷率', 'PP：拉丝：生产比例：中国（日）', 'BOPP开工率(隆众)同差', 'BOPP开工率同差', 'PP粉料开工率', 'PP：涂覆料：生产比例：中国（日）', 'PP：薄壁注塑：生产比例：中国（日）', 'PP开工率/西南地区（日）', 'PP下游综合开工率/2WMA', 'PP：低熔共聚：生产比例：中国（日）', 'PP开工率/华东地区（日）', 'PP：中熔共聚：生产比例：中国（日）', 'PP：均聚注塑：生产比例：中国（日）', 'PP日产/PE日产']\n", - "正在绘制第1个特征PP开工率（1MMA）与价格散点图...\n", - "正在绘制第2个特征PP周度开工率与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第3个特征PP开工率/7DMA与价格散点图...\n", - "正在绘制第4个特征PP开工率/2WMA与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第5个特征PP日度开工率与价格散点图...\n", - "供应下负相关的特征值有： ['PP粉检修减损量（周）', 'PP日度产量（粒料+粉料）', 'PP周度产量', 'PP日度产量7DMA', 'PP日度产量', 'PP周度产量变频', 'PP日度产量（1MMA）', 'PP周度产量/4WMA', 'PP管材开工率同差', 'PP周度产量同差', 'PP开工率同差', 'PP检修减损量', 'PP周度产量同比', 'PP日度产量同差', 'PP检修损失量（万吨/年）', 'PP检修减损量（日）', 'PP日度产量同比', 'PP下游综合开工率同差', 'PP粉料产量(钢联)7DMA', 'PP周度检修率', 'PP粉产量/中国（日）', 'CPP：三元共聚薄膜：生产比例：中国（日）', 'PP下游综合开工率/3年超季节性', 'CPP：二元共聚膜：生产比例：中国（日）', 'PP：透明：生产比例：中国（日）', 'BOPP开工率（4WMA）', 'PP周度产量周环差', 'PP：中熔纤维：生产比例：中国（日）', 'PP无纺布开工率同差', 'PP下游开工/PE下游开工', 'PP：无规共聚：生产比例：中国（日）', '热水管：生产比例：中国（日）', 'PP：高熔共聚：生产比例：中国（日）', 'PP日度产量1000天百分位', 'PP日度产量环差']\n", - "正在绘制第1个特征PP粉检修减损量（周）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第2个特征PP日度产量（粒料+粉料）与价格散点图...\n", - "正在绘制第3个特征PP周度产量与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第4个特征PP日度产量7DMA与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "供应类指标的相关性总和为：19.676577761750373\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第5个特征PP日度产量与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "供应类指标的相关性总和为：19.676577761750373\n", - "开始绘制其他类指标的相关性直方图\n", - "开始绘制其他类指标的相关性直方图\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "其他下正相关的特征值有： ['PP连续-1月', 'PP连续-9月', 'PP连续-5月', '山东丙烯主流价', 'FEI丙烷 M1', 'PVC期货主力', '丙烷（山东）', '甲醇鲁南价格', '甲醇太仓港口价格', 'PE期货收盘价', 'LME铜价']\n", - "正在绘制第1个特征PP连续-1月与价格散点图...\n", - "正在绘制第2个特征PP连续-9月与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第3个特征PP连续-5月与价格散点图...\n", - "正在绘制第4个特征山东丙烯主流价与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第5个特征FEI丙烷 M1与价格散点图...\n", - "其他下负相关的特征值有： ['在岸人民币汇率', '黄金连1合约', '美元指数', 'Brent-WTI', '南华工业品指数']\n", - "正在绘制第1个特征在岸人民币汇率与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第2个特征黄金连1合约与价格散点图...\n", - "正在绘制第3个特征美元指数与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第4个特征Brent-WTI与价格散点图...\n", - "正在绘制第5个特征南华工业品指数与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "其他类指标的相关性总和为：12.061155519572203\n", - "其他类指标的相关性总和为：12.061155519572203\n", - "开始绘制库存类指标的相关性直方图\n", - "开始绘制库存类指标的相关性直方图\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "库存下正相关的特征值有： ['PP贸易商库存(钢联)同比', 'PP期末库存/天津港（周）', '塑编原材料库存', 'PP下游原料库存', 'BOPP订单天数-产成品库存天数（隆众）', 'PP期末库存/厦门港（周）', '中国BOPP原料库存量', 'PP粉料库存', 'PP库存 (地方炼厂)', '聚烯烃两油库存', 'PP：期末库存：青岛港（周）', 'PP库存(PDH)超季节性(3Y)', 'PP贸易商库存(钢联)', 'PP拉丝期末库存（周）', '聚烯烃两油库存同比', 'PP周度总库存', 'PP炼厂库存+PDH库存', 'PP期末库存/宁波港（周）', '中国BOPP周度原料库存天数（T）', 'PP粉料库存（吨）变化', 'PP上游库存（两油+煤+PDH+地方）']\n", - "正在绘制第1个特征PP贸易商库存(钢联)同比与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第2个特征PP期末库存/天津港（周）与价格散点图...\n", - "正在绘制第3个特征塑编原材料库存与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第4个特征PP下游原料库存与价格散点图...\n", - "正在绘制第5个特征BOPP订单天数-产成品库存天数（隆众）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "库存下负相关的特征值有： ['中国BOPP周度产成品库存天数（T）', 'PP下游原料库存天数', '中国CPP成品库存天数', '中国再生PP样本企业周度库存', 'PP库存(PDH)', '聚烯烃两油库存1000天百分位', '中国CPP原料库存天数', '中国CPP成品库存量', 'PP期末库存/广州港（周）', 'BOPP原料库存+产成品库存天数', 'PP期末库存/上海港（周）', '中国PP港口期末库存', 'PP上游库存(两油+煤+PDH）', 'PP两油+煤制库存', 'PP两桶油/库存（周）', 'PP库存（煤制）', '中国BOPP原料库存天数同差']\n", - "正在绘制第1个特征中国BOPP周度产成品库存天数（T）与价格散点图...\n", - "正在绘制第2个特征PP下游原料库存天数与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第3个特征中国CPP成品库存天数与价格散点图...\n", - "正在绘制第4个特征中国再生PP样本企业周度库存与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "库存类指标的相关性总和为：11.265124823866078\n", - "库存类指标的相关性总和为：11.265124823866078\n", - "开始绘制进出口类指标的相关性直方图\n", - "开始绘制进出口类指标的相关性直方图\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第5个特征PP库存(PDH)与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "进出口下正相关的特征值有： ['聚丙烯出口利润']\n", - "正在绘制第1个特征聚丙烯出口利润与价格散点图...\n", - "进出口下负相关的特征值有： ['聚丙烯进口利润']\n", - "正在绘制第1个特征聚丙烯进口利润与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "进出口类指标的相关性总和为：1.621285695326623\n", - "进出口类指标的相关性总和为：1.621285695326623\n", - "开始绘制需求类指标的相关性直方图\n", - "开始绘制需求类指标的相关性直方图\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "需求下正相关的特征值有： ['中国：华东地区：市场平均价：BOPP厚光膜', 'BOPP利润（华东地区）', '中国BOPP订单天数/4WMA', 'PP部分下游订单天数', 'BOPP 订单-成品天数', 'BOPP订单天数变频', 'BOPP完工订单工作量（周）', 'BOPP开工率超季节性/3年', 'BOPP新订单量（7DMA）', '中国再生PP周度样本成交量', 'BOPP日度新订单量（T）', '中国BOPP订单天数同差', '中国BOPP成品库存量同差']\n", - "正在绘制第1个特征中国：华东地区：市场平均价：BOPP厚光膜与价格散点图...\n", - "正在绘制第2个特征BOPP利润（华东地区）与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第3个特征中国BOPP订单天数/4WMA与价格散点图...\n", - "正在绘制第4个特征PP部分下游订单天数与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第5个特征BOPP 订单-成品天数与价格散点图...\n", - "需求下负相关的特征值有： ['PP下游成品库存天数', '中国CPP订单天数']\n", - "正在绘制第1个特征PP下游成品库存天数与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "需求类指标的相关性总和为：6.76636659497056\n", - "需求类指标的相关性总和为：6.76636659497056\n", - "开始绘制相关性总和的气泡图\n", - "开始绘制相关性总和的气泡图\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "正在绘制第2个特征中国CPP订单天数与价格散点图...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "绘制相关性总和的气泡图结束\n", - "绘制相关性总和的气泡图结束\n", - "制作报告end\n", - "制作报告end\n", - "模型训练完成\n", - "模型训练完成\n" - ] - } - ], - "source": [ - "# 模型报告\n", - "\n", - "logger.info('制作报告ing')\n", - "title = f'{settings}--{now}-预测报告' # 报告标题\n", - "\n", - "pp_export_pdf(dataset=dataset,num_models = 5 if is_fivemodels else 22,time=end_time,\n", - " reportname=reportname,sqlitedb=sqlitedb),\n", - "\n", - "logger.info('制作报告end')\n", - "logger.info('模型训练完成')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d4129e71-ee2c-4af1-81ed-fadf14efa206", - "metadata": {}, - "outputs": [], - "source": [ - "# 发送邮件\n", - "m = SendMail(\n", - " username=username,\n", - " passwd=passwd,\n", - " recv=recv,\n", - " title=title,\n", - " content=content,\n", - " file=max(glob.glob(os.path.join(dataset,'*.pdf')), key=os.path.getctime),\n", - " ssl=ssl,\n", - ")\n", - "# m.send_mail() \n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/juxitingdataset/df_combined3.csv b/juxitingdataset/df_combined3.csv index 1c4d2ac..fcc3069 100644 --- a/juxitingdataset/df_combined3.csv +++ b/juxitingdataset/df_combined3.csv @@ -1,206 +1,206 @@ -ds,NHITS,Informer,LSTM,iTransformer,TSMixer,TSMixerx,PatchTST,RNN,GRU,TCN,BiTCN,DilatedRNN,MLP,DLinear,NLinear,TFT,StemGNN,MLPMultivariate,TiDE,DeepNPTS,y,min_within_quantile,max_within_quantile,min_model,max_model,NLinear_abs_error_rate,RNN_abs_error_rate,TiDE_abs_error_rate,LSTM_abs_error_rate,DilatedRNN_abs_error_rate,PatchTST_abs_error_rate,TSMixer_abs_error_rate,NHITS_abs_error_rate,GRU_abs_error_rate,DLinear_abs_error_rate,DeepNPTS_abs_error_rate,TFT_abs_error_rate,MLP_abs_error_rate,Informer_abs_error_rate,TSMixerx_abs_error_rate,BiTCN_abs_error_rate,TCN_abs_error_rate,iTransformer_abs_error_rate,MLPMultivariate_abs_error_rate,StemGNN_abs_error_rate,min_abs_error_rate_prediction,min_abs_error_rate_column_name -2024-01-29,7327.54,7371.29,7327.98,7384.88,7303.02,7287.33,7292.89,7315.12,7343.6,7448.81,7326.19,7305.51,7323.52,7296.29,7310.33,7284.56,7305.08,7307.85,7296.64,7296.58,7305.0,7296.64,7327.98,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.02,0.01,0.0,0.0,7305.08,StemGNN -2024-01-30,7323.87,7345.87,7337.31,7389.43,7298.24,7304.34,7293.09,7323.49,7353.22,7449.26,7332.46,7312.26,7328.59,7281.35,7304.5,7300.72,7302.7,7318.95,7297.0,7304.78,7315.0,7297.0,7337.31,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.01,0.0,0.0,7312.26,DilatedRNN -2024-01-31,7324.15,7346.47,7344.21,7380.46,7308.31,7304.1,7294.49,7331.7,7359.12,7457.24,7342.73,7323.04,7320.56,7292.95,7297.57,7318.6,7301.14,7334.67,7303.24,7314.47,7302.5,7297.57,7344.21,NLinear,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.02,0.01,0.0,0.0,7303.24,TiDE -2024-02-01,7310.36,7350.73,7330.01,7368.2,7301.07,7305.61,7286.25,7318.49,7346.67,7454.66,7335.99,7307.86,7320.18,7289.85,7286.74,7300.7,7300.0,7329.82,7302.62,7301.44,7275.0,7286.74,7330.01,NLinear,LSTM,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.02,0.01,0.01,0.0,7286.25,PatchTST -2024-02-02,7293.69,7327.78,7309.33,7373.02,7273.72,7281.96,7266.09,7301.23,7324.77,7439.28,7308.17,7276.55,7291.01,7277.53,7261.4,7276.11,7297.48,7296.47,7281.35,7281.49,7242.5,7261.4,7309.33,NLinear,LSTM,0.0,0.01,0.01,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.03,0.02,0.01,0.01,7261.4,NLinear -2024-02-04,7254.43,7283.66,7289.7,7339.78,7239.73,7246.94,7231.94,7275.87,7300.41,7419.08,7273.83,7247.99,7247.88,7248.6,7243.9,7245.49,7293.53,7245.1,7250.1,7275.04,7240.0,7243.9,7289.7,NLinear,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.02,0.01,0.0,0.01,7239.73,TSMixer -2024-02-05,7250.29,7259.14,7291.3,7286.88,7225.65,7210.31,7228.4,7274.82,7302.66,7410.31,7243.09,7250.31,7235.75,7227.82,7230.87,7230.15,7289.29,7232.53,7231.23,7243.13,7227.5,7230.87,7291.3,NLinear,LSTM,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.01,0.0,0.01,7227.82,DLinear -2024-02-06,7238.12,7245.94,7284.38,7245.93,7214.97,7191.32,7208.56,7264.12,7290.83,7402.4,7214.51,7247.19,7215.73,7210.97,7213.27,7208.05,7284.47,7215.47,7216.57,7240.12,7246.67,7213.27,7284.38,NLinear,LSTM,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.02,0.0,0.0,0.01,7247.19,DilatedRNN -2024-02-07,7250.07,7249.58,7298.53,7246.31,7225.56,7233.26,7233.51,7282.69,7310.77,7411.92,7197.42,7269.31,7226.51,7226.73,7229.02,7225.51,7280.56,7230.76,7231.61,7227.76,7255.0,7229.02,7298.53,NLinear,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.02,0.0,0.0,0.0,7250.07,NHITS -2024-02-08,7255.89,7238.05,7302.06,7239.05,7240.02,7246.68,7249.72,7290.17,7314.03,7416.26,7187.06,7274.24,7236.22,7231.46,7251.08,7240.22,7277.06,7237.26,7253.37,7246.68,7270.0,7251.08,7302.06,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.0,0.0,0.01,0.02,0.0,0.0,0.0,7274.24,DilatedRNN -2024-02-18,7255.75,7235.38,7313.8,7233.69,7255.69,7255.58,7265.83,7300.25,7328.57,7421.75,7188.82,7284.88,7247.14,7230.47,7268.08,7275.0,7274.52,7246.07,7273.11,7254.99,7336.67,7268.08,7313.8,NLinear,LSTM,0.01,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.02,0.01,0.01,0.01,0.01,7328.57,GRU -2024-02-19,7328.24,7286.07,7381.02,7275.31,7308.41,7310.31,7327.43,7366.18,7388.41,7447.08,7280.03,7355.52,7284.43,7281.5,7344.23,7354.4,7273.63,7291.66,7323.83,7270.38,7350.0,7323.83,7381.02,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,7354.4,TFT -2024-02-20,7340.94,7314.03,7381.57,7320.35,7338.18,7366.51,7341.79,7363.28,7388.78,7459.81,7353.13,7385.1,7303.85,7305.54,7355.22,7374.68,7273.2,7317.23,7334.72,7315.85,7335.0,7334.72,7385.1,TiDE,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.01,7334.72,TiDE -2024-02-21,7328.09,7291.25,7364.24,7319.25,7332.97,7412.64,7331.43,7349.38,7375.82,7465.63,7385.73,7387.23,7307.38,7333.67,7337.79,7342.36,7272.39,7318.1,7325.39,7314.47,7297.5,7325.39,7387.23,TiDE,DilatedRNN,0.01,0.01,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.02,0.01,0.02,0.0,0.0,0.0,7291.25,Informer -2024-02-22,7287.87,7267.14,7325.02,7277.25,7305.41,7391.88,7303.83,7321.02,7340.78,7453.1,7382.02,7339.71,7294.56,7318.52,7298.75,7277.44,7270.51,7301.04,7291.38,7276.98,7285.0,7291.38,7339.71,TiDE,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.02,0.0,0.0,0.0,7287.87,NHITS -2024-02-23,7274.4,7269.57,7318.81,7248.73,7289.09,7370.73,7297.79,7303.7,7335.42,7444.23,7366.25,7323.17,7289.08,7303.61,7282.35,7266.32,7268.19,7293.09,7280.01,7282.8,7306.67,7280.01,7323.17,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.01,0.01,0.02,0.01,0.0,0.01,7303.7,RNN -2024-02-26,7317.08,7264.94,7337.71,7258.44,7297.69,7360.07,7324.84,7325.02,7354.15,7444.26,7362.54,7327.9,7317.03,7295.98,7301.97,7291.58,7266.69,7302.36,7294.47,7344.75,7292.5,7294.47,7337.71,TiDE,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.02,0.0,0.0,0.0,7291.58,TFT -2024-02-27,7324.86,7265.31,7320.64,7250.01,7294.19,7304.11,7298.21,7308.62,7337.19,7439.27,7344.69,7310.37,7318.04,7292.7,7282.65,7268.99,7265.18,7294.64,7286.29,7335.9,7306.67,7282.65,7320.64,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.02,0.01,0.0,0.01,7308.62,RNN -2024-02-28,7350.44,7289.53,7338.22,7309.69,7298.81,7324.0,7322.15,7329.78,7355.81,7445.01,7333.11,7324.66,7333.3,7311.24,7305.73,7297.46,7264.32,7302.66,7303.67,7363.84,7353.33,7303.67,7338.22,TiDE,LSTM,0.01,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.01,7355.81,GRU -2024-02-29,7364.92,7312.73,7388.84,7333.98,7331.49,7367.62,7367.57,7377.53,7397.03,7453.38,7342.48,7349.71,7365.78,7333.87,7360.89,7322.64,7264.33,7322.6,7342.49,7352.62,7325.0,7342.49,7388.84,TiDE,LSTM,0.0,0.01,0.0,0.01,0.0,0.01,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.02,0.0,0.0,0.01,7322.64,TFT -2024-03-01,7321.58,7316.24,7343.94,7309.51,7320.66,7330.76,7334.34,7332.16,7359.97,7443.02,7323.63,7307.3,7329.62,7315.68,7335.52,7305.79,7264.18,7304.35,7325.91,7320.04,7343.33,7307.3,7343.94,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.01,7343.94,LSTM -2024-03-04,7340.8,7317.33,7376.92,7311.15,7328.22,7340.47,7340.31,7365.15,7388.86,7450.74,7315.87,7323.96,7323.98,7333.25,7339.48,7315.33,7264.33,7301.3,7341.73,7340.63,7330.0,7323.96,7376.92,DilatedRNN,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.01,7328.22,TSMixer -2024-03-05,7315.29,7324.32,7350.44,7305.61,7325.74,7339.79,7318.97,7344.85,7365.55,7451.88,7304.36,7319.43,7316.46,7325.93,7321.51,7307.34,7264.21,7297.3,7327.12,7328.32,7310.0,7319.43,7350.44,DilatedRNN,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.01,7307.34,TFT -2024-03-06,7308.37,7325.7,7334.63,7294.16,7305.63,7325.18,7312.54,7318.27,7352.91,7447.44,7298.88,7308.51,7313.02,7309.36,7297.3,7288.71,7263.76,7286.98,7300.48,7306.5,7297.5,7297.3,7334.63,NLinear,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.0,7297.3,NLinear -2024-03-07,7299.86,7322.53,7324.67,7282.33,7294.87,7306.71,7313.41,7321.12,7342.72,7440.57,7289.94,7302.04,7319.49,7285.37,7297.06,7280.81,7263.15,7286.31,7293.88,7289.42,7290.0,7293.88,7324.67,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.0,7289.94,BiTCN -2024-03-08,7284.22,7300.35,7319.86,7274.83,7286.74,7293.73,7302.8,7307.93,7337.87,7436.35,7274.2,7299.68,7286.94,7284.21,7288.37,7276.83,7262.76,7277.18,7291.02,7296.59,7295.0,7288.37,7319.86,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.0,7293.73,TSMixerx -2024-03-11,7271.27,7287.88,7325.34,7269.57,7283.7,7281.61,7304.64,7315.33,7343.5,7434.85,7270.74,7301.9,7264.77,7297.51,7293.47,7279.98,7262.81,7273.09,7289.34,7281.02,7285.0,7289.34,7325.34,TiDE,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.0,7283.7,TSMixer -2024-03-12,7252.84,7289.89,7316.38,7238.32,7271.27,7285.97,7283.58,7308.11,7333.67,7423.91,7273.67,7295.14,7244.6,7296.69,7275.31,7274.42,7264.09,7267.18,7270.4,7242.84,7283.33,7270.4,7316.38,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.02,0.01,0.0,0.0,7283.58,PatchTST -2024-03-13,7248.94,7289.63,7317.69,7233.04,7267.63,7290.31,7281.2,7307.19,7335.38,7425.88,7268.58,7309.18,7235.08,7304.14,7278.21,7275.33,7265.65,7265.26,7272.33,7235.62,7285.0,7272.33,7317.69,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.02,0.01,0.0,0.0,7281.2,PatchTST -2024-03-14,7265.67,7272.35,7319.05,7246.86,7274.3,7281.33,7285.09,7310.26,7336.26,7424.37,7279.02,7310.25,7246.55,7274.92,7288.54,7285.69,7269.2,7272.8,7280.93,7245.84,7277.5,7280.93,7319.05,TiDE,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.0,7279.02,BiTCN -2024-03-15,7268.02,7272.38,7313.29,7252.22,7272.37,7267.28,7274.58,7300.8,7329.86,7422.91,7276.36,7300.48,7249.94,7253.63,7269.2,7284.16,7271.75,7274.0,7279.15,7275.57,7353.33,7269.2,7313.29,NLinear,LSTM,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,7329.86,GRU -2024-03-18,7347.52,7331.59,7398.1,7300.4,7319.2,7299.25,7365.29,7379.18,7404.8,7454.79,7304.76,7381.73,7306.57,7305.65,7353.59,7387.27,7274.58,7304.16,7330.82,7352.64,7387.5,7330.82,7398.1,TiDE,LSTM,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.02,7387.27,TFT -2024-03-19,7383.2,7377.06,7422.18,7337.72,7360.54,7351.51,7392.03,7400.81,7423.66,7474.67,7313.87,7416.08,7356.26,7326.81,7393.41,7420.57,7276.23,7330.54,7363.47,7386.88,7435.0,7363.47,7422.18,TiDE,LSTM,0.01,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.0,0.01,0.01,0.01,0.02,0.01,0.01,0.01,0.02,7423.66,GRU -2024-03-20,7431.32,7405.09,7481.7,7376.29,7402.01,7385.96,7459.23,7451.43,7481.06,7500.15,7329.38,7477.52,7408.8,7385.25,7441.38,7446.61,7277.8,7375.82,7414.87,7433.1,7460.0,7414.87,7481.7,TiDE,LSTM,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.02,0.01,0.01,0.01,0.02,7459.23,PatchTST -2024-03-21,7458.23,7401.49,7497.22,7416.58,7435.34,7399.19,7477.4,7484.97,7496.09,7515.96,7349.72,7505.51,7430.26,7433.87,7467.83,7466.18,7280.62,7415.17,7449.45,7440.95,7422.5,7449.45,7505.51,TiDE,DilatedRNN,0.01,0.01,0.0,0.01,0.01,0.01,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.02,7416.58,iTransformer -2024-03-22,7407.08,7385.58,7442.54,7427.62,7418.86,7399.51,7396.74,7421.23,7442.49,7503.78,7352.84,7447.2,7399.15,7426.65,7428.19,7410.61,7284.13,7404.03,7430.58,7399.98,7402.5,7421.23,7447.2,RNN,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.02,7404.03,MLPMultivariate -2024-03-25,7390.93,7341.74,7425.1,7351.02,7389.62,7396.72,7393.91,7412.02,7429.24,7493.73,7344.59,7410.24,7372.03,7425.95,7402.73,7362.53,7285.9,7383.56,7400.51,7386.46,7372.5,7400.51,7425.1,TiDE,LSTM,0.0,0.01,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.01,7372.03,MLP -2024-03-26,7347.33,7326.36,7383.73,7310.72,7358.05,7389.99,7351.15,7374.38,7394.84,7478.16,7345.4,7372.22,7346.88,7391.77,7355.68,7335.91,7286.96,7355.52,7355.3,7348.98,7365.0,7355.3,7383.73,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.02,0.01,0.0,0.01,7358.05,TSMixer -2024-03-27,7332.67,7312.63,7381.71,7327.69,7341.74,7356.66,7347.59,7365.01,7395.24,7472.17,7348.8,7371.09,7330.06,7369.82,7345.87,7337.23,7287.96,7336.09,7351.86,7342.38,7345.0,7345.87,7381.71,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,0.01,7345.87,NLinear -2024-03-28,7318.95,7314.23,7356.68,7325.77,7325.55,7327.43,7330.24,7354.81,7374.07,7455.5,7348.21,7331.05,7302.67,7352.37,7328.51,7320.33,7288.74,7314.21,7333.58,7330.55,7345.0,7328.51,7356.68,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.02,0.0,0.0,0.01,7348.21,BiTCN -2024-03-29,7333.3,7331.35,7363.25,7327.67,7319.56,7301.55,7328.18,7355.11,7380.95,7447.57,7334.74,7327.27,7288.54,7335.81,7336.81,7319.3,7289.92,7297.93,7332.41,7343.51,7345.0,7327.27,7363.25,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.0,0.01,0.01,7343.51,DeepNPTS -2024-04-01,7348.05,7330.57,7362.77,7332.96,7322.2,7298.06,7329.02,7358.66,7379.31,7439.07,7324.08,7319.56,7297.91,7335.11,7344.4,7319.01,7290.86,7297.93,7334.57,7336.61,7360.0,7319.56,7362.77,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.0,0.01,0.0,0.01,0.01,7358.66,RNN -2024-04-02,7354.85,7323.4,7383.79,7332.65,7333.63,7305.61,7343.25,7371.61,7396.96,7439.3,7319.5,7330.72,7310.54,7330.5,7355.11,7328.96,7291.78,7303.89,7341.66,7354.63,7380.0,7330.72,7383.79,DilatedRNN,LSTM,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.0,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,7383.79,LSTM -2024-04-03,7365.36,7363.44,7406.76,7337.82,7351.97,7328.92,7372.84,7392.54,7415.12,7455.35,7328.3,7365.47,7333.11,7329.49,7376.28,7337.59,7293.34,7332.99,7356.93,7368.23,7397.5,7356.93,7406.76,TiDE,LSTM,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,7392.54,RNN -2024-04-07,7393.17,7399.15,7426.61,7353.03,7376.49,7376.75,7414.11,7407.82,7431.87,7469.02,7340.05,7401.16,7367.35,7352.12,7391.14,7345.16,7296.03,7358.92,7389.73,7383.01,7437.5,7389.73,7426.61,TiDE,LSTM,0.01,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.02,7431.87,GRU -2024-04-08,7446.69,7449.75,7475.26,7373.37,7410.56,7404.13,7471.23,7453.16,7476.52,7494.46,7348.69,7462.4,7410.81,7377.58,7435.09,7383.23,7300.34,7398.07,7432.4,7434.56,7490.0,7432.4,7475.26,TiDE,LSTM,0.01,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.02,0.01,0.01,0.01,0.01,0.01,0.02,0.0,0.02,0.01,0.03,7494.46,TCN -2024-04-09,7504.9,7467.54,7530.61,7433.77,7452.01,7425.34,7513.39,7508.93,7533.46,7525.64,7357.86,7528.49,7454.96,7437.01,7491.25,7428.23,7304.74,7457.52,7473.55,7489.28,7507.5,7473.55,7530.61,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.02,0.0,0.01,0.01,0.03,7508.93,RNN -2024-04-10,7507.67,7467.99,7538.11,7542.22,7472.33,7420.04,7503.44,7518.16,7542.64,7545.15,7374.81,7566.42,7470.54,7473.43,7509.8,7433.5,7310.03,7488.79,7488.68,7506.2,7497.5,7488.68,7566.42,TiDE,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.01,0.02,0.01,0.01,0.0,0.03,7503.44,PatchTST -2024-04-11,7471.36,7447.97,7520.09,7595.64,7468.23,7408.33,7456.56,7507.32,7523.82,7548.46,7392.38,7548.81,7429.43,7498.08,7501.92,7419.36,7314.95,7464.22,7485.5,7461.34,7497.5,7485.5,7548.81,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.02,7498.08,DLinear -2024-04-12,7441.47,7422.59,7520.65,7489.62,7460.53,7422.05,7457.34,7508.16,7525.23,7549.5,7408.37,7551.69,7408.99,7522.65,7488.91,7405.51,7319.85,7442.42,7475.94,7381.11,7506.67,7475.94,7551.69,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.0,0.0,0.02,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.01,0.02,7508.16,RNN -2024-04-15,7437.49,7392.71,7528.99,7359.85,7460.77,7406.3,7457.88,7511.0,7534.34,7550.29,7422.12,7559.66,7408.64,7505.06,7499.32,7414.59,7324.39,7350.28,7478.66,7390.39,7482.5,7478.66,7559.66,TiDE,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.02,0.02,0.02,7478.66,TiDE -2024-04-16,7414.4,7356.55,7493.42,7320.82,7445.33,7389.55,7430.34,7479.15,7495.79,7530.0,7414.8,7504.09,7384.23,7474.41,7463.96,7395.26,7326.74,7316.68,7464.25,7352.03,7495.0,7463.96,7504.09,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.0,0.02,0.01,0.01,0.02,0.01,0.01,0.0,0.02,0.02,0.02,7495.79,GRU -2024-04-17,7418.15,7345.34,7517.47,7244.33,7448.57,7372.91,7443.81,7505.07,7524.59,7532.58,7416.41,7509.97,7377.52,7468.47,7480.95,7402.17,7328.88,7308.76,7469.45,7336.17,7497.5,7469.45,7517.47,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.0,0.02,0.01,0.02,0.02,0.02,0.01,0.0,0.03,0.03,0.02,7505.07,RNN -2024-04-18,7436.24,7365.21,7513.57,7192.38,7453.6,7372.54,7432.96,7503.99,7517.93,7524.56,7417.28,7494.44,7394.34,7452.7,7495.29,7403.77,7331.62,7302.16,7473.56,7444.7,7497.5,7473.56,7513.57,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.02,0.02,0.01,0.0,0.04,0.03,0.02,7495.29,NLinear -2024-04-19,7447.08,7350.32,7514.88,7205.88,7455.57,7376.24,7410.53,7499.09,7521.58,7514.49,7414.34,7484.98,7403.57,7462.21,7490.31,7405.58,7335.87,7309.31,7468.85,7449.0,7527.5,7468.85,7514.88,TiDE,LSTM,0.0,0.0,0.01,0.0,0.01,0.02,0.01,0.01,0.0,0.01,0.01,0.02,0.02,0.02,0.02,0.02,0.0,0.04,0.03,0.03,7521.58,GRU -2024-04-22,7475.88,7423.16,7553.94,7254.19,7479.88,7386.67,7447.72,7543.1,7564.77,7529.09,7418.21,7513.38,7448.4,7465.62,7534.03,7424.22,7340.89,7353.61,7495.13,7507.16,7527.5,7495.13,7553.94,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.0,0.01,0.01,0.01,0.02,0.01,0.0,0.04,0.02,0.02,7529.09,TCN -2024-04-23,7483.17,7425.91,7543.4,7290.92,7493.7,7412.12,7452.95,7529.65,7551.13,7530.61,7420.4,7510.63,7476.78,7493.62,7519.16,7425.58,7345.31,7389.05,7508.08,7474.14,7510.0,7508.08,7543.4,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.01,0.01,0.01,0.0,0.03,0.02,0.02,7510.63,DilatedRNN -2024-04-24,7489.82,7449.76,7522.43,7284.6,7487.66,7426.27,7472.05,7511.78,7529.63,7526.36,7421.74,7485.46,7485.09,7501.46,7492.88,7420.0,7350.44,7407.38,7501.62,7474.42,7487.5,7485.46,7522.43,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.03,0.01,0.02,7487.66,TSMixer -2024-04-25,7478.17,7459.27,7497.68,7280.8,7470.32,7445.5,7489.49,7493.36,7502.21,7512.97,7428.15,7459.13,7481.87,7483.92,7478.55,7422.14,7354.99,7425.65,7481.11,7463.77,7487.5,7459.13,7497.68,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.0,0.03,0.01,0.02,7489.49,PatchTST -2024-04-26,7471.79,7504.41,7503.64,7251.0,7463.42,7473.47,7521.54,7488.07,7509.47,7511.23,7437.15,7478.42,7488.64,7486.83,7477.29,7424.85,7357.93,7426.34,7478.56,7483.43,7502.5,7477.29,7503.64,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.03,0.01,0.02,7503.64,LSTM -2024-04-28,7467.89,7518.13,7521.81,7174.11,7470.82,7479.49,7536.93,7508.17,7528.39,7516.84,7455.74,7505.59,7480.88,7472.89,7496.72,7427.1,7362.14,7417.9,7486.94,7501.28,7527.5,7486.94,7521.81,TiDE,LSTM,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.0,0.01,0.01,0.0,0.01,0.01,0.0,0.05,0.01,0.02,7528.39,GRU -2024-04-29,7481.1,7537.41,7551.26,7198.68,7484.31,7493.62,7539.07,7535.14,7561.36,7538.57,7471.26,7551.52,7456.97,7503.59,7513.18,7435.48,7365.99,7410.41,7503.56,7523.13,7537.5,7503.56,7551.52,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.01,0.0,0.04,0.02,0.02,7537.41,Informer -2024-04-30,7485.56,7594.84,7557.28,7254.42,7491.22,7476.7,7528.7,7545.33,7567.36,7559.4,7475.39,7570.71,7438.04,7536.98,7529.87,7442.82,7370.56,7405.34,7509.73,7512.24,7532.5,7509.73,7570.71,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.0,0.04,0.02,0.02,7529.87,NLinear -2024-05-06,7483.94,7574.7,7548.46,7325.23,7489.19,7448.35,7506.84,7539.17,7557.91,7552.76,7467.6,7562.01,7421.79,7525.62,7532.45,7444.39,7376.1,7394.27,7509.66,7408.65,7502.5,7509.66,7562.01,TiDE,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.0,0.01,0.02,0.01,0.02,7506.84,PatchTST -2024-05-07,7454.26,7549.21,7509.9,7428.31,7469.92,7432.5,7468.81,7503.76,7514.61,7528.46,7455.19,7517.82,7393.69,7501.23,7494.93,7449.21,7382.07,7369.93,7480.75,7366.6,7475.0,7480.75,7517.82,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,7469.92,TSMixer -2024-05-08,7448.62,7504.08,7483.78,7341.15,7449.91,7422.82,7453.71,7472.99,7488.15,7506.29,7444.99,7489.62,7390.3,7460.89,7477.19,7433.97,7388.17,7356.53,7456.13,7334.04,7512.5,7456.13,7489.62,TiDE,DilatedRNN,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.02,0.01,0.02,0.0,0.01,0.01,0.0,0.02,0.02,0.02,7506.29,TCN -2024-05-09,7489.41,7492.55,7538.78,7228.58,7471.97,7432.32,7488.34,7522.5,7548.68,7532.69,7450.95,7550.51,7421.94,7462.06,7500.77,7464.86,7394.79,7365.0,7478.99,7376.05,7505.0,7478.99,7550.51,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.02,0.01,0.01,0.0,0.01,0.01,0.0,0.04,0.02,0.01,7500.77,NLinear -2024-05-10,7502.58,7503.25,7515.71,7238.33,7480.19,7439.46,7474.0,7502.34,7519.2,7530.79,7445.66,7522.23,7430.08,7469.07,7501.89,7461.89,7402.07,7366.89,7475.33,7327.73,7477.5,7475.33,7522.23,TiDE,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.02,0.0,0.01,0.0,0.01,0.0,0.01,0.03,0.01,0.01,7475.33,TiDE -2024-05-11,7477.01,7468.49,7487.68,7269.38,7466.02,7463.35,7461.11,7477.54,7492.72,7517.63,7434.93,7478.03,7432.49,7469.02,7476.03,7443.91,7409.29,7377.38,7464.25,7457.58,7475.0,7464.25,7487.68,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.03,0.01,0.01,7476.03,NLinear -2024-05-13,7485.15,7465.77,7491.34,7315.73,7466.45,7476.06,7467.47,7489.51,7496.05,7504.56,7435.73,7466.04,7449.36,7487.14,7477.51,7445.1,7416.69,7406.58,7470.81,7469.83,7485.0,7466.04,7491.34,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.02,0.01,0.01,7485.15,NHITS -2024-05-14,7477.14,7476.03,7503.63,7392.31,7473.35,7492.1,7466.7,7485.68,7508.49,7498.11,7457.67,7471.83,7481.71,7489.56,7496.26,7459.57,7425.19,7437.05,7474.59,7482.29,7507.5,7471.83,7503.63,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.02,0.01,0.01,7508.49,GRU -2024-05-15,7489.91,7539.15,7530.81,7430.45,7490.52,7527.63,7486.06,7514.31,7538.25,7516.15,7484.43,7502.17,7517.09,7500.93,7501.97,7472.1,7430.11,7472.37,7495.54,7499.29,7510.0,7495.54,7530.81,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,7514.31,RNN -2024-05-16,7488.49,7555.01,7527.53,7360.08,7500.79,7538.66,7505.81,7517.8,7533.73,7533.27,7499.3,7510.77,7524.22,7516.52,7497.59,7476.12,7433.61,7352.68,7509.44,7492.98,7525.0,7497.59,7527.53,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.01,7524.22,MLP -2024-05-17,7496.75,7566.11,7548.37,7326.43,7508.88,7531.27,7524.72,7533.79,7558.48,7556.27,7511.16,7535.63,7506.21,7526.92,7519.7,7497.23,7435.59,7309.13,7519.26,7481.67,7587.5,7519.26,7548.37,TiDE,LSTM,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.0,0.03,0.04,0.02,7566.11,Informer -2024-05-20,7554.62,7644.92,7627.44,7350.25,7547.01,7528.24,7595.91,7612.28,7643.46,7596.9,7537.82,7612.63,7530.43,7539.71,7591.87,7521.2,7437.21,7296.11,7572.12,7571.91,7670.0,7572.12,7627.44,TiDE,LSTM,0.01,0.01,0.01,0.01,0.01,0.01,0.02,0.02,0.0,0.02,0.01,0.02,0.02,0.0,0.02,0.02,0.01,0.04,0.05,0.03,7644.92,Informer -2024-05-21,7646.42,7693.65,7721.68,7393.04,7609.44,7543.75,7674.38,7711.26,7740.31,7708.74,7555.53,7736.54,7598.73,7600.96,7672.61,7654.2,7439.66,7318.55,7645.34,7664.22,7677.5,7645.34,7736.54,TiDE,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.0,0.01,0.01,0.0,0.0,0.01,0.0,0.02,0.02,0.0,0.04,0.05,0.03,7674.38,PatchTST -2024-05-22,7647.54,7700.36,7702.61,7435.01,7631.71,7537.14,7631.25,7700.74,7718.4,7716.27,7545.94,7739.61,7593.62,7631.05,7680.19,7632.13,7443.42,7351.65,7659.1,7656.57,7677.5,7659.1,7739.61,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.0,0.01,0.01,0.0,0.02,0.02,0.01,0.03,0.04,0.03,7680.19,NLinear -2024-05-23,7626.59,7682.93,7701.23,7486.0,7631.62,7534.77,7612.35,7702.06,7719.24,7711.33,7537.83,7734.65,7576.55,7652.62,7672.35,7630.37,7449.02,7363.8,7655.3,7639.01,7645.0,7655.3,7734.65,TiDE,DilatedRNN,0.0,0.01,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.01,0.01,0.01,0.02,0.04,0.03,7639.01,DeepNPTS -2024-05-24,7591.57,7687.27,7647.22,7466.98,7604.74,7520.95,7581.75,7648.48,7659.85,7665.49,7530.35,7681.59,7545.77,7650.82,7641.27,7555.51,7455.55,7342.27,7618.71,7587.36,7630.0,7618.71,7681.59,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.02,0.04,0.02,7641.27,NLinear -2024-05-27,7587.08,7608.34,7637.65,7450.73,7586.27,7503.4,7584.06,7621.78,7653.85,7607.25,7528.53,7654.25,7532.07,7610.58,7622.67,7533.82,7463.42,7326.06,7605.99,7588.43,7650.0,7605.99,7654.25,TiDE,DilatedRNN,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.02,0.02,0.01,0.02,0.02,0.01,0.03,0.04,0.02,7653.85,GRU -2024-05-28,7607.55,7589.48,7669.13,7484.61,7597.73,7514.83,7601.71,7664.22,7686.82,7632.27,7530.03,7686.72,7537.27,7603.04,7629.19,7550.99,7471.71,7363.76,7623.46,7633.98,7690.0,7623.46,7686.72,TiDE,DilatedRNN,0.01,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.02,0.02,0.01,0.02,0.02,0.01,0.03,0.04,0.03,7686.82,GRU -2024-05-29,7652.84,7571.3,7717.47,7556.94,7630.25,7549.12,7631.5,7713.28,7739.42,7692.04,7547.56,7739.16,7571.95,7633.92,7662.71,7577.13,7480.36,7443.68,7655.77,7631.62,7690.0,7655.77,7739.16,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.02,0.02,0.02,0.02,0.0,0.02,0.03,0.03,7692.04,TCN -2024-05-30,7649.09,7577.62,7704.1,7550.92,7640.84,7541.27,7618.8,7709.13,7722.64,7686.08,7566.99,7726.25,7577.4,7647.87,7675.33,7588.57,7488.69,7495.95,7666.95,7588.98,7716.67,7666.95,7726.25,TiDE,DilatedRNN,0.01,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.02,0.02,0.02,0.02,0.02,0.02,0.0,0.02,0.03,0.03,7722.64,GRU -2024-05-31,7659.8,7578.86,7740.46,7601.55,7658.13,7553.72,7626.85,7747.84,7766.91,7734.27,7586.04,7743.6,7606.83,7679.94,7715.32,7637.17,7496.29,7552.72,7694.43,7669.36,7740.0,7694.43,7747.84,TiDE,RNN,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.02,0.02,0.02,0.02,0.0,0.02,0.02,0.03,7740.46,LSTM -2024-06-03,7680.57,7584.22,7758.74,7692.79,7682.17,7563.78,7631.12,7765.3,7782.34,7752.19,7594.94,7765.01,7648.73,7689.59,7745.42,7666.56,7503.34,7588.76,7712.73,7713.13,7720.0,7712.73,7765.3,TiDE,RNN,0.0,0.01,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.02,0.02,0.02,0.0,0.0,0.02,0.03,7713.13,DeepNPTS -2024-06-04,7665.76,7576.41,7723.4,7680.31,7679.08,7575.09,7632.31,7726.45,7745.14,7722.12,7593.83,7724.31,7634.57,7670.89,7705.0,7633.67,7509.08,7561.44,7702.17,7686.5,7650.0,7702.17,7726.45,TiDE,RNN,0.01,0.01,0.01,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.0,0.01,0.02,7634.57,MLP -2024-06-05,7606.92,7540.29,7633.46,7610.85,7632.48,7578.7,7615.23,7639.77,7644.89,7622.36,7580.73,7631.2,7599.78,7656.64,7623.31,7586.52,7512.73,7487.38,7640.26,7578.67,7620.0,7623.31,7640.26,NLinear,TiDE,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.0,0.02,0.01,7622.36,TCN -2024-06-06,7619.7,7540.46,7618.23,7535.66,7596.63,7595.6,7616.26,7613.33,7634.54,7580.04,7567.82,7615.22,7595.84,7629.27,7600.64,7572.07,7515.47,7439.33,7594.37,7568.71,7600.0,7594.37,7618.23,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.02,0.01,7600.64,NLinear -2024-06-07,7615.71,7550.14,7598.83,7495.09,7580.49,7593.81,7616.27,7589.49,7612.05,7554.46,7556.42,7595.42,7595.1,7577.71,7587.54,7557.72,7518.27,7422.08,7579.2,7530.57,7606.67,7579.2,7598.83,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.0,0.01,0.01,0.01,0.02,0.01,7612.05,GRU -2024-06-11,7601.74,7545.36,7617.55,7483.63,7583.14,7602.98,7622.97,7603.07,7634.47,7571.48,7561.7,7607.52,7596.83,7576.37,7597.98,7564.51,7521.23,7447.74,7590.24,7535.68,7620.0,7590.24,7617.55,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.0,0.01,0.01,0.02,0.02,0.01,7617.55,LSTM 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-2024-06-17,7668.97,7660.65,7707.58,7561.25,7660.09,7645.73,7690.69,7707.57,7728.62,7790.44,7658.04,7732.91,7636.44,7670.13,7692.14,7629.07,7537.53,7588.31,7677.84,7647.88,7656.67,7677.84,7732.91,TiDE,DilatedRNN,0.0,0.01,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.01,0.01,0.02,7658.04,BiTCN -2024-06-18,7648.69,7647.44,7657.3,7511.84,7644.72,7630.99,7660.46,7661.83,7671.58,7709.01,7646.41,7688.98,7600.83,7643.53,7658.19,7608.7,7541.74,7553.19,7656.77,7650.67,7656.67,7656.77,7688.98,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.02,0.01,0.02,7656.77,TiDE -2024-06-19,7717.45,7666.0,7670.33,7520.23,7635.96,7617.99,7659.58,7660.73,7689.14,7667.13,7633.78,7690.19,7602.78,7635.72,7655.59,7608.17,7544.92,7544.78,7635.34,7654.29,7670.0,7635.34,7690.19,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.0,0.0,0.02,0.02,0.02,7670.33,LSTM -2024-06-20,7741.04,7693.88,7686.97,7567.39,7640.5,7624.09,7651.69,7683.71,7704.51,7695.4,7628.74,7714.59,7644.29,7644.75,7667.42,7626.49,7548.34,7561.63,7630.83,7666.16,7680.0,7630.83,7714.59,TiDE,DilatedRNN,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.0,0.01,0.02,0.02,7683.71,RNN -2024-06-21,7702.76,7688.15,7697.32,7612.87,7652.19,7642.97,7654.44,7693.22,7716.37,7728.08,7628.33,7724.77,7677.81,7669.14,7678.6,7633.89,7552.64,7573.85,7647.56,7666.95,7680.0,7647.56,7724.77,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.02,7678.6,NLinear -2024-06-24,7666.51,7682.79,7694.04,7581.34,7661.33,7643.75,7644.67,7699.11,7712.41,7720.88,7621.98,7715.66,7654.24,7680.46,7685.14,7635.35,7558.01,7572.07,7665.65,7669.45,7680.0,7665.65,7715.66,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.02,7680.46,DLinear -2024-06-25,7635.06,7702.77,7694.15,7551.08,7662.63,7668.97,7639.39,7697.1,7713.05,7727.82,7635.73,7696.7,7642.6,7695.54,7681.62,7638.46,7563.53,7590.37,7676.11,7670.29,7693.33,7676.11,7697.1,TiDE,RNN,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.0,0.02,0.01,0.02,7694.15,LSTM -2024-06-26,7649.64,7721.72,7711.35,7582.14,7666.93,7678.08,7646.0,7712.14,7733.13,7739.67,7653.96,7713.9,7646.94,7715.36,7695.62,7646.05,7568.72,7606.04,7690.87,7683.98,7716.67,7690.87,7713.9,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.01,0.01,0.0,0.02,0.01,0.02,7715.36,DLinear -2024-06-27,7668.78,7726.75,7736.6,7605.33,7678.27,7679.7,7667.02,7739.2,7761.5,7762.53,7676.67,7745.12,7650.41,7704.75,7709.23,7649.62,7573.25,7663.1,7698.53,7634.07,7723.33,7698.53,7745.12,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.02,0.01,0.02,7726.75,Informer -2024-06-28,7678.55,7779.76,7736.77,7635.71,7686.45,7652.34,7673.52,7741.3,7761.03,7772.07,7686.61,7750.62,7643.94,7685.82,7713.25,7644.23,7577.58,7691.8,7703.73,7613.67,7730.0,7703.73,7750.62,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.02,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.02,7736.77,LSTM -2024-07-01,7707.72,7821.05,7743.39,7658.27,7693.71,7649.98,7708.01,7749.89,7768.63,7769.01,7691.71,7759.06,7661.72,7689.95,7721.16,7646.0,7582.32,7717.93,7715.57,7626.28,7763.33,7715.57,7759.06,TiDE,DilatedRNN,0.01,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.02,0.02,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.02,7759.06,DilatedRNN -2024-07-02,7744.92,7840.94,7783.1,7679.4,7717.64,7653.13,7735.71,7787.06,7806.22,7806.74,7684.8,7796.63,7692.66,7722.76,7756.99,7667.11,7588.75,7762.75,7744.12,7687.62,7780.0,7744.12,7796.63,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.02,0.01,0.0,0.01,0.0,0.02,7783.1,LSTM -2024-07-03,7756.84,7833.03,7791.33,7692.3,7731.19,7658.64,7735.06,7794.67,7812.86,7828.05,7669.74,7808.23,7703.55,7736.59,7780.46,7680.14,7596.91,7800.42,7746.29,7766.54,7800.0,7746.29,7808.23,TiDE,DilatedRNN,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.0,0.02,0.01,0.0,0.02,0.02,0.0,0.01,0.0,0.03,7800.42,MLPMultivariate -2024-07-04,7777.57,7802.46,7810.8,7710.33,7750.34,7672.56,7765.83,7815.34,7833.79,7856.35,7662.81,7828.12,7724.62,7755.44,7794.13,7694.62,7603.58,7779.04,7766.87,7784.54,7800.0,7766.87,7828.12,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.01,0.01,0.0,0.02,0.02,0.01,0.01,0.0,0.03,7802.46,Informer -2024-07-05,7774.44,7815.16,7802.19,7730.68,7760.77,7699.28,7772.52,7811.57,7823.36,7849.05,7671.7,7830.59,7724.65,7770.86,7787.98,7692.89,7610.96,7843.22,7780.92,7741.59,7766.67,7780.92,7830.59,TiDE,DilatedRNN,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.01,0.02,7770.86,DLinear -2024-07-08,7741.65,7795.09,7758.82,7705.33,7739.58,7708.67,7729.86,7765.03,7781.33,7792.2,7676.97,7784.11,7681.38,7766.85,7757.01,7683.55,7620.04,7824.98,7761.16,7705.36,7746.67,7757.01,7784.11,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.02,7741.65,NHITS -2024-07-09,7722.38,7773.33,7745.26,7703.88,7714.5,7696.2,7714.17,7753.77,7769.68,7768.35,7679.44,7764.17,7656.31,7739.11,7735.52,7682.56,7629.55,7730.01,7737.09,7674.54,7720.0,7735.52,7764.17,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.01,0.0,0.01,0.01,0.0,0.0,0.01,7722.38,NHITS -2024-07-10,7681.03,7717.21,7716.77,7678.92,7691.8,7673.83,7694.23,7723.21,7737.12,7743.38,7668.68,7735.7,7622.03,7709.89,7703.37,7681.63,7638.61,7685.62,7705.22,7572.7,7693.33,7703.37,7735.7,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.02,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.01,7694.23,PatchTST -2024-07-11,7658.8,7691.9,7693.49,7628.34,7667.14,7692.16,7681.35,7691.85,7710.51,7719.48,7664.59,7703.51,7614.39,7682.58,7677.68,7669.17,7646.27,7670.81,7672.55,7596.51,7686.67,7672.55,7703.51,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.01,7682.58,DLinear -2024-07-12,7676.21,7648.01,7695.03,7632.62,7659.27,7675.71,7674.62,7698.63,7713.13,7720.5,7665.84,7702.99,7618.09,7679.03,7672.11,7670.97,7654.11,7660.48,7659.43,7646.45,7680.0,7659.43,7702.99,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.0,0.0,7679.03,DLinear -2024-07-15,7678.67,7635.19,7688.59,7673.16,7661.82,7659.83,7658.52,7688.36,7705.97,7715.21,7663.19,7697.0,7632.91,7676.23,7670.71,7666.72,7661.32,7665.77,7658.57,7673.79,7680.0,7658.57,7697.0,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.0,0.0,0.0,7678.67,NHITS -2024-07-16,7651.2,7671.86,7692.78,7689.27,7668.14,7660.76,7659.06,7692.61,7711.37,7719.34,7655.2,7696.32,7641.57,7667.54,7679.94,7684.55,7665.08,7669.1,7668.98,7684.14,7666.67,7668.98,7696.32,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,7667.54,DLinear -2024-07-17,7641.06,7668.16,7673.47,7659.75,7664.64,7654.22,7660.93,7676.71,7690.06,7700.99,7651.0,7671.75,7644.48,7651.21,7663.0,7678.61,7664.98,7672.35,7664.72,7691.68,7660.0,7663.0,7676.71,NLinear,RNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,7659.75,iTransformer -2024-07-18,7664.97,7658.16,7670.03,7637.79,7660.39,7658.64,7659.83,7666.5,7687.94,7698.48,7644.28,7672.95,7654.77,7652.12,7661.85,7665.94,7664.43,7680.07,7657.52,7684.03,7656.67,7657.52,7672.95,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,7657.52,TiDE -2024-07-19,7665.55,7670.82,7667.21,7635.58,7660.33,7668.88,7658.37,7665.87,7684.4,7695.58,7643.1,7674.29,7663.73,7643.52,7663.89,7656.08,7663.77,7700.4,7657.96,7680.19,7656.67,7657.96,7674.29,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,7656.08,TFT -2024-07-22,7654.73,7659.6,7668.97,7621.64,7661.35,7680.21,7656.68,7664.04,7686.75,7703.27,7644.07,7678.37,7673.43,7659.15,7658.67,7652.07,7664.19,7711.59,7657.0,7666.68,7640.0,7657.0,7678.37,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.0,7644.07,BiTCN -2024-07-23,7627.15,7658.63,7644.82,7588.28,7648.25,7672.14,7633.98,7642.58,7660.83,7681.31,7644.15,7657.65,7654.55,7659.5,7642.75,7629.61,7664.6,7699.0,7638.69,7648.38,7623.33,7638.69,7657.65,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.01,7627.15,NHITS -2024-07-24,7615.71,7655.36,7628.3,7592.22,7632.98,7642.48,7617.96,7623.56,7644.38,7647.41,7638.71,7634.55,7637.8,7656.28,7626.52,7606.37,7663.53,7680.98,7623.42,7643.56,7623.33,7623.42,7634.55,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,7623.42,TiDE -2024-07-25,7626.83,7642.02,7633.97,7613.05,7627.47,7633.41,7616.62,7627.67,7651.09,7641.83,7629.51,7638.69,7636.35,7667.25,7627.47,7601.07,7661.25,7681.91,7620.48,7654.3,7616.67,7620.48,7638.69,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,7616.62,PatchTST -2024-07-26,7632.33,7621.39,7624.53,7645.17,7622.88,7627.13,7601.44,7616.04,7639.72,7631.04,7618.54,7630.36,7640.37,7653.94,7615.76,7592.51,7658.74,7678.82,7610.2,7671.36,7606.67,7610.2,7630.36,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,7610.2,TiDE -2024-07-29,7639.82,7612.4,7614.2,7662.63,7615.06,7627.33,7595.58,7606.81,7629.6,7619.99,7608.54,7623.0,7640.1,7621.77,7607.57,7582.71,7655.3,7666.26,7606.59,7680.21,7593.33,7606.59,7623.0,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.01,0.01,7595.58,PatchTST -2024-07-30,7622.59,7600.34,7599.37,7641.51,7603.54,7616.73,7589.47,7594.73,7613.76,7596.82,7595.43,7602.52,7632.35,7602.39,7598.68,7575.24,7651.04,7639.92,7595.3,7624.0,7593.33,7594.73,7602.52,RNN,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.01,0.01,7594.73,RNN -2024-07-31,7600.51,7608.84,7604.48,7579.51,7596.77,7610.01,7590.87,7595.07,7620.02,7591.9,7582.4,7602.83,7610.28,7587.6,7602.2,7574.55,7647.16,7610.42,7593.2,7617.02,7583.33,7593.2,7604.48,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,7582.4,BiTCN -2024-08-01,7584.49,7591.16,7590.41,7528.96,7586.1,7592.44,7577.19,7583.06,7603.93,7577.83,7568.32,7587.83,7585.23,7581.5,7587.47,7558.95,7644.52,7583.24,7579.94,7590.3,7620.0,7579.94,7590.41,TiDE,LSTM,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.01,0.0,0.0,7603.93,GRU -2024-08-02,7616.69,7597.32,7646.77,7566.6,7608.67,7612.44,7609.73,7635.09,7667.15,7621.61,7575.38,7644.41,7594.11,7601.34,7624.83,7610.86,7644.52,7601.45,7606.0,7619.89,7623.33,7606.0,7646.77,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.0,7624.83,NLinear -2024-08-05,7623.76,7589.96,7636.61,7586.84,7623.19,7622.18,7610.9,7632.09,7651.12,7634.57,7591.59,7646.92,7600.74,7606.68,7626.28,7616.17,7645.47,7618.92,7617.34,7621.26,7610.0,7617.34,7646.92,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7610.9,PatchTST -2024-08-06,7603.18,7595.41,7619.84,7605.93,7619.76,7611.85,7608.62,7610.0,7635.33,7619.08,7602.16,7622.48,7608.05,7622.34,7609.32,7605.97,7645.61,7639.88,7622.11,7612.49,7596.67,7609.32,7622.48,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,7595.41,Informer -2024-08-07,7592.18,7592.88,7604.55,7626.97,7607.0,7596.99,7595.73,7603.8,7618.55,7598.38,7603.15,7605.98,7599.85,7619.7,7598.38,7599.85,7644.64,7643.84,7607.2,7614.27,7586.67,7598.38,7607.2,NLinear,TiDE,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,7592.18,NHITS -2024-08-08,7586.15,7584.44,7594.6,7599.37,7593.31,7582.25,7584.57,7583.2,7608.71,7574.14,7597.16,7590.7,7575.04,7598.87,7586.78,7593.29,7641.55,7614.19,7591.35,7610.71,7583.33,7583.2,7594.6,RNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,7583.2,RNN -2024-08-09,7576.48,7582.33,7593.27,7585.83,7584.16,7586.21,7583.9,7582.83,7607.38,7572.6,7593.07,7593.88,7574.76,7583.67,7577.9,7587.49,7638.0,7594.36,7581.23,7618.0,7583.33,7577.9,7593.88,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,7583.67,DLinear -2024-08-12,7575.63,7573.13,7594.56,7563.65,7581.98,7582.93,7582.0,7586.46,7608.74,7575.65,7589.75,7596.44,7572.66,7578.67,7573.81,7582.91,7634.55,7587.76,7580.69,7589.65,7586.67,7573.81,7596.44,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,7586.46,RNN -2024-08-13,7576.85,7573.63,7599.73,7549.21,7581.67,7588.33,7586.28,7590.12,7614.35,7589.07,7587.63,7605.08,7577.5,7586.07,7579.82,7587.45,7632.09,7588.25,7584.79,7591.04,7593.33,7579.82,7605.08,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,7591.04,DeepNPTS -2024-08-14,7588.26,7580.58,7608.2,7543.9,7583.36,7587.63,7592.55,7600.56,7623.21,7583.55,7584.06,7605.89,7590.91,7583.55,7593.7,7596.72,7629.95,7583.49,7588.25,7596.74,7590.0,7588.25,7608.2,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,7590.91,MLP -2024-08-15,7593.08,7579.66,7601.46,7529.65,7582.26,7589.29,7589.51,7593.46,7615.52,7575.57,7576.29,7597.07,7586.9,7572.76,7588.46,7596.39,7627.37,7567.46,7583.96,7608.26,7583.33,7583.96,7601.46,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,7583.96,TiDE -2024-08-16,7586.15,7570.0,7593.93,7514.98,7578.33,7583.97,7580.97,7585.71,7608.0,7570.62,7570.11,7592.93,7577.51,7570.17,7584.04,7591.05,7624.35,7556.5,7577.98,7601.39,7583.33,7577.98,7593.93,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,7583.97,TSMixerx -2024-08-19,7594.75,7567.16,7595.88,7563.93,7579.27,7591.45,7583.53,7587.47,7610.1,7572.22,7566.63,7595.98,7578.81,7562.98,7580.2,7587.08,7621.38,7557.74,7578.12,7597.96,7570.0,7578.12,7595.98,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,7572.22,TCN -2024-08-20,7579.69,7549.51,7577.41,7576.12,7570.13,7587.28,7570.4,7568.66,7589.49,7566.75,7561.17,7580.98,7573.95,7559.21,7563.7,7578.24,7617.92,7548.49,7565.12,7585.64,7570.0,7563.7,7580.98,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,7570.13,TSMixer -2024-08-21,7584.28,7549.39,7582.75,7575.37,7568.25,7584.27,7579.21,7573.01,7596.82,7568.56,7558.48,7580.19,7579.22,7555.77,7567.7,7568.89,7614.3,7552.89,7568.73,7573.09,7570.0,7567.7,7582.75,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,7568.89,TFT -2024-08-22,7583.7,7563.72,7581.84,7578.46,7570.42,7585.17,7579.53,7573.96,7594.55,7566.88,7555.73,7579.72,7581.85,7557.41,7570.86,7564.07,7610.43,7557.83,7571.75,7572.58,7590.0,7570.86,7581.84,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7594.55,GRU -2024-08-23,7591.69,7580.94,7610.27,7577.62,7583.99,7586.86,7595.8,7597.0,7626.16,7585.06,7560.51,7605.65,7586.47,7580.06,7588.23,7581.87,7607.35,7568.18,7586.91,7578.29,7583.33,7586.91,7610.27,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7583.99,TSMixer -2024-08-26,7581.91,7582.1,7593.37,7570.0,7584.27,7593.48,7585.07,7587.27,7605.78,7577.06,7566.94,7596.79,7579.49,7588.08,7584.4,7576.37,7604.08,7567.01,7583.0,7593.89,7583.33,7583.0,7596.79,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7583.0,TiDE -2024-08-27,7578.77,7577.6,7597.72,7573.39,7582.92,7599.51,7582.85,7587.59,7612.76,7580.64,7569.93,7599.5,7577.81,7596.23,7580.95,7580.58,7600.83,7588.53,7585.49,7591.12,7610.0,7580.95,7599.5,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,7612.76,GRU -2024-08-28,7603.34,7568.98,7633.48,7591.46,7600.26,7612.36,7604.12,7624.77,7650.61,7607.26,7590.22,7637.93,7594.21,7602.4,7610.4,7616.2,7598.77,7614.45,7603.8,7596.22,7610.0,7603.8,7637.93,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,7610.4,NLinear -2024-08-29,7602.61,7574.91,7623.24,7595.74,7606.55,7612.5,7598.92,7611.27,7637.06,7603.43,7608.57,7629.72,7598.36,7592.65,7610.02,7615.47,7597.31,7606.99,7610.11,7601.69,7613.33,7610.02,7629.72,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,7612.5,TSMixerx -2024-08-30,7609.0,7602.09,7629.69,7595.23,7609.88,7619.16,7606.8,7620.17,7646.34,7613.65,7626.89,7634.24,7602.9,7605.2,7607.37,7615.43,7596.6,7613.78,7616.26,7596.19,7606.67,7607.37,7634.24,NLinear,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7606.8,PatchTST -2024-09-02,7604.8,7611.23,7617.19,7590.73,7606.88,7617.54,7599.16,7613.64,7630.95,7601.78,7633.94,7625.12,7604.06,7602.78,7610.29,7605.22,7595.72,7615.25,7603.53,7588.05,7583.33,7603.53,7625.12,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,7588.05,DeepNPTS -2024-09-03,7584.12,7599.74,7587.32,7583.98,7587.2,7593.44,7574.91,7577.95,7600.26,7575.75,7621.9,7590.64,7589.95,7583.71,7584.71,7571.91,7594.26,7601.55,7578.65,7585.84,7562.5,7577.95,7590.64,RNN,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,7571.91,TFT -2024-09-04,7567.82,7576.5,7567.19,7571.67,7567.29,7574.64,7562.33,7562.51,7579.01,7547.71,7604.77,7562.58,7574.18,7572.53,7565.26,7556.47,7591.96,7588.91,7560.81,7582.39,7535.0,7560.81,7567.19,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.0,0.0,0.01,0.01,7547.71,TCN -2024-09-05,7545.36,7552.7,7536.81,7572.77,7543.65,7554.34,7543.55,7530.69,7545.04,7525.55,7580.8,7526.22,7551.9,7551.99,7529.33,7540.59,7588.3,7577.33,7536.12,7562.67,7475.0,7526.22,7536.81,DilatedRNN,LSTM,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.02,7525.55,TCN -2024-09-06,7489.13,7530.06,7468.77,7567.33,7490.51,7523.74,7484.99,7463.25,7472.63,7487.4,7541.51,7450.58,7511.96,7517.22,7469.27,7511.44,7581.11,7568.4,7483.83,7535.0,7442.5,7450.58,7483.83,DilatedRNN,TiDE,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.02,0.02,0.02,7450.58,DilatedRNN -2024-09-09,7477.12,7518.37,7445.95,7539.01,7447.32,7499.81,7457.06,7440.96,7453.29,7463.9,7499.5,7414.84,7488.55,7477.18,7432.64,7497.93,7572.17,7548.29,7447.32,7475.0,7422.5,7414.84,7447.32,DilatedRNN,TiDE,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.02,0.02,0.02,7414.84,DilatedRNN -2024-09-10,7456.85,7501.8,7427.16,7514.64,7422.65,7479.61,7434.15,7419.56,7435.08,7450.96,7466.84,7396.45,7459.6,7444.46,7420.32,7478.98,7562.58,7523.61,7425.64,7442.5,7412.5,7396.45,7427.16,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.02,7419.56,RNN -2024-09-11,7431.63,7488.65,7421.85,7484.77,7405.92,7468.94,7418.03,7409.36,7431.29,7444.13,7435.7,7386.46,7435.07,7418.62,7414.43,7467.43,7553.1,7497.19,7418.09,7422.5,7387.5,7386.46,7421.85,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.02,7386.46,DilatedRNN -2024-09-12,7398.92,7473.74,7392.92,7436.31,7384.28,7455.46,7387.81,7391.31,7405.78,7437.62,7402.3,7358.95,7406.29,7400.44,7386.07,7451.55,7542.7,7450.64,7395.83,7412.51,7380.0,7358.95,7395.83,DilatedRNN,TiDE,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.01,0.0,0.01,0.01,0.01,0.02,7384.28,TSMixer -2024-09-13,7387.89,7452.98,7392.81,7394.62,7370.54,7445.65,7375.93,7386.79,7406.8,7437.69,7380.1,7357.82,7390.09,7401.12,7384.26,7432.34,7532.57,7427.63,7384.53,7387.57,7395.0,7357.82,7392.81,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.01,0.0,0.01,0.0,0.0,0.02,7394.62,iTransformer -2024-09-14,7398.8,7448.38,7415.44,7368.94,7381.92,7434.69,7389.77,7404.15,7424.27,7446.08,7377.0,7380.42,7384.06,7403.66,7403.4,7426.29,7523.94,7425.34,7393.14,7381.05,7375.0,7380.42,7415.44,DilatedRNN,LSTM,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.01,0.01,0.0,0.01,0.0,0.01,0.02,7377.0,BiTCN -2024-09-18,7373.29,7433.29,7386.28,7329.25,7376.52,7412.15,7366.51,7377.15,7398.32,7444.71,7372.7,7360.6,7359.8,7382.27,7384.26,7407.78,7514.74,7414.36,7382.19,7396.33,7342.5,7360.6,7386.28,DilatedRNN,LSTM,0.01,0.0,0.01,0.01,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.0,0.01,0.0,0.01,0.02,7329.25,iTransformer -2024-09-19,7345.12,7423.38,7354.42,7277.35,7354.17,7386.27,7350.0,7351.29,7372.91,7441.94,7368.46,7339.54,7347.83,7371.14,7345.66,7383.4,7504.32,7387.84,7357.27,7375.54,7325.0,7339.54,7357.27,DilatedRNN,TiDE,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.02,0.01,0.01,0.02,7339.54,DilatedRNN -2024-09-20,7342.11,7401.09,7341.36,7221.53,7336.63,7372.35,7341.57,7339.75,7361.3,7437.13,7368.07,7329.55,7347.69,7356.94,7335.71,7368.56,7493.44,7352.7,7337.79,7355.56,7340.0,7329.55,7341.36,DilatedRNN,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.02,0.0,0.02,7339.75,RNN -2024-09-23,7367.46,7401.63,7362.13,7193.23,7341.63,7375.19,7357.71,7350.42,7378.34,7442.19,7372.96,7345.42,7355.94,7358.66,7345.75,7383.85,7484.01,7328.74,7335.99,7350.67,7310.0,7335.99,7362.13,TiDE,LSTM,0.0,0.01,0.0,0.01,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.02,0.02,0.0,0.02,7328.74,MLPMultivariate -2024-09-24,7347.11,7369.08,7327.08,7184.46,7324.37,7358.97,7324.65,7320.32,7345.2,7433.41,7367.03,7315.2,7335.14,7339.29,7318.8,7372.53,7473.5,7302.72,7309.44,7311.45,7280.0,7309.44,7327.08,TiDE,LSTM,0.01,0.01,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.01,0.01,0.01,0.02,0.01,0.0,0.03,7302.72,MLPMultivariate -2024-09-25,7337.68,7343.42,7309.85,7403.08,7300.53,7338.34,7316.54,7302.59,7327.5,7421.26,7354.32,7295.57,7333.55,7317.72,7283.23,7342.64,7462.0,7437.99,7292.34,7281.34,7315.0,7283.23,7309.85,NLinear,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.02,0.02,7316.54,PatchTST -2024-09-26,7386.44,7341.61,7345.36,7435.37,7318.42,7346.22,7348.73,7340.58,7362.8,7431.2,7356.0,7324.47,7353.46,7337.65,7320.65,7354.6,7452.84,7508.93,7315.25,7315.34,7310.0,7315.25,7345.36,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.02,0.02,0.03,0.02,7315.25,TiDE -2024-09-27,7381.15,7328.46,7332.75,7406.75,7317.09,7346.12,7331.73,7320.92,7349.47,7429.06,7351.81,7309.78,7334.64,7314.31,7316.95,7352.38,7443.9,7528.81,7306.65,7311.16,7310.0,7306.65,7332.75,TiDE,LSTM,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.0,0.0,0.0,0.01,0.02,0.01,0.03,0.02,7309.78,DilatedRNN -2024-09-29,7384.15,7327.32,7337.93,7345.99,7317.25,7344.34,7338.88,7327.86,7355.93,7435.85,7345.17,7314.27,7328.31,7307.46,7313.57,7350.19,7434.77,7530.15,7314.67,7313.31,7365.0,7313.57,7337.93,NLinear,LSTM,0.01,0.01,0.01,0.0,0.01,0.0,0.01,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.0,0.0,0.01,0.0,0.02,0.01,7355.93,GRU -2024-09-30,7415.55,7352.2,7403.82,7401.76,7357.28,7360.55,7371.52,7392.1,7410.08,7468.94,7351.29,7374.02,7353.45,7336.29,7371.57,7373.65,7428.29,7573.34,7362.65,7365.42,7420.0,7362.65,7403.82,TiDE,LSTM,0.01,0.0,0.01,0.0,0.01,0.01,0.01,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.02,0.0,7415.55,NHITS -2024-10-08,7413.39,7409.56,7462.21,7444.58,7405.36,7396.59,7407.2,7431.76,7460.04,7500.73,7378.97,7438.91,7375.62,7365.27,7425.37,7423.06,7424.11,7630.56,7411.88,7419.61,7602.5,7411.88,7462.21,TiDE,LSTM,0.02,0.02,0.03,0.02,0.02,0.03,0.03,0.02,0.02,0.03,0.02,0.02,0.03,0.03,0.03,0.03,0.01,0.02,0.0,0.02,7630.56,MLPMultivariate -2024-10-09,7579.91,7556.33,7696.39,7566.58,7555.9,7556.58,7630.08,7670.55,7702.68,7638.44,7573.12,7705.03,7584.66,7484.14,7607.14,7611.41,7424.18,7800.65,7574.46,7602.4,7602.5,7574.46,7705.03,TiDE,DilatedRNN,0.0,0.01,0.0,0.01,0.01,0.0,0.01,0.0,0.01,0.02,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.0,0.03,0.02,7602.4,DeepNPTS -2024-10-10,7575.56,7596.86,7627.47,7619.68,7624.68,7621.92,7625.84,7623.26,7632.98,7668.69,7663.99,7679.77,7637.41,7542.54,7608.91,7600.68,7424.37,7820.1,7604.86,7602.44,7585.0,7604.86,7679.77,TiDE,DilatedRNN,0.0,0.01,0.0,0.01,0.01,0.01,0.01,0.0,0.01,0.01,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.0,0.03,0.02,7575.56,NHITS -2024-10-11,7628.35,7601.27,7618.62,7603.43,7626.54,7664.98,7622.66,7592.53,7625.98,7680.63,7699.01,7640.88,7648.54,7571.69,7587.7,7604.0,7424.4,7784.88,7600.0,7584.98,7575.0,7587.7,7640.88,NLinear,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.01,0.01,0.01,0.01,0.0,0.0,0.0,0.01,0.0,0.01,0.02,0.01,0.0,0.03,0.02,7571.69,DLinear -2024-10-12,7633.67,7618.32,7594.08,7582.04,7603.76,7674.04,7605.06,7599.97,7602.33,7617.73,7715.68,7613.97,7646.51,7571.18,7574.51,7612.55,7424.28,7735.88,7567.15,7574.99,7576.67,7567.15,7613.97,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.0,0.0,0.01,0.01,0.01,0.02,0.01,0.0,0.02,0.02,7574.99,DeepNPTS -2024-10-14,7653.81,7630.65,7595.95,7555.79,7563.84,7673.07,7578.99,7559.27,7606.22,7590.25,7707.99,7611.86,7658.07,7556.69,7561.98,7637.48,7424.14,7701.3,7546.09,7576.52,7565.0,7546.09,7611.86,TiDE,DilatedRNN,0.0,0.0,0.0,0.0,0.01,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.01,0.01,0.02,0.0,0.0,0.02,0.02,7563.84,TSMixer -2024-10-15,7596.77,7620.22,7575.49,7504.66,7541.02,7645.56,7550.41,7563.09,7584.59,7583.52,7686.62,7594.43,7631.93,7525.27,7535.71,7624.88,7423.75,7647.81,7536.93,7564.88,7527.5,7535.71,7594.43,NLinear,DilatedRNN,0.0,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.01,0.02,0.02,0.01,0.0,0.02,0.01,7525.27,DLinear -2024-10-16,7537.38,7620.99,7528.69,7451.79,7512.35,7561.82,7499.04,7525.2,7534.81,7547.84,7628.83,7523.73,7571.32,7509.33,7482.41,7535.02,7422.73,7588.29,7511.74,7511.9,7477.5,7482.41,7528.69,NLinear,LSTM,0.0,0.01,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.0,0.0,0.01,0.01,0.02,0.01,0.02,0.01,0.0,0.01,0.01,7482.41,NLinear 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