3296 lines
245 KiB
Plaintext
3296 lines
245 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "7fadc60c-d710-4b8c-89cd-1d889ece1eaf",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"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",
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"\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"读取本地数据：juxitingdataset\\PP指标数据.xlsx\n",
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"读取本地数据：juxitingdataset\\PP指标数据.xlsx\n",
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"getdata接收：juxitingdataset\\PP指标数据.xlsx date \n",
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"getdata接收：juxitingdataset\\PP指标数据.xlsx date \n",
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"删除两月不更新特征前数据量：(2515, 354)\n",
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"删除两月不更新特征前数据量：(2515, 354)\n",
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"删除两月不更新特征后数据量：(2515, 315)\n",
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"删除两月不更新特征后数据量：(2515, 315)\n",
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"删除预测列为空值的行后数据量：(771, 315)\n",
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"删除预测列为空值的行后数据量：(771, 315)\n",
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"删除全为空值的列后数据量：(771, 315)\n",
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"删除全为空值的列后数据量：(771, 315)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
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||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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||
"\n",
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||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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||
" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
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||
"\n",
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||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
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||
"\n",
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||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
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||
"\n",
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||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
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"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" values.dropna(inplace=True,axis=0)\n",
|
||
"d:\\code\\PriceForecast\\lib\\dataread.py:226: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://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": [
|
||
"<Figure size 1000x1000 with 0 Axes>"
|
||
]
|
||
},
|
||
"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"
|
||
]
|
||
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|
||
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|
||
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|
||
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||
"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
|
||
}
|