From 9abd7475baf32ef5c69ddbc33fc09d9ef6900a87 Mon Sep 17 00:00:00 2001 From: workpc Date: Fri, 3 Jan 2025 09:32:07 +0800 Subject: [PATCH] =?UTF-8?q?=E6=B2=A5=E9=9D=92=E9=A2=84=E6=B5=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../定性模型数据项12-11 - 2025年1月2日 备份.xls | Bin 0 -> 203264 bytes aisenzhecode/沥青/定性模型数据项12-11.xls | Bin 170496 -> 221696 bytes aisenzhecode/沥青/定性模型计算规则与权重.xls | Bin 0 -> 21504 bytes aisenzhecode/沥青/日度价格预测_最佳模型.pkl | Bin 1232250 -> 681644 bytes .../沥青/沥青定性模型每日推送-ytj.ipynb | 573 +++++++++++++++++- .../沥青/沥青定量价格预测每日推送-ytj.ipynb | 141 +---- aisenzhecode/沥青/沥青数据项.xls | Bin 517120 -> 577536 bytes lib/dataread.py | 4 +- main_juxiting.py | 1 + 9 files changed, 588 insertions(+), 131 deletions(-) create mode 100644 aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月2日 备份.xls create mode 100644 aisenzhecode/沥青/定性模型计算规则与权重.xls diff --git a/aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月2日 备份.xls b/aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月2日 备份.xls 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headers1 = {\"Authorization\": token_push}\n", - " res = requests.post(url=upload_url, headers=headers1, json=data1, timeout=(3, 5))\n", + " # res = requests.post(url=upload_url, headers=headers1, json=data1, timeout=(3, 5))\n", " \n", " \n", " \n", @@ -471,27 +470,587 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ + "20230803\n", + "20230804\n", + "20230805\n", + "20230806\n", + "20230807\n", + "20230808\n", + "20230809\n", + "20230810\n", + "20230811\n", + "20230812\n", + "20230813\n", + "20230814\n", + "20230815\n", + "20230816\n", + "20230817\n", + "20230818\n", + "20230819\n", + "20230820\n", + "20230821\n", + "20230822\n", + "20230823\n", + "20230824\n", + "20230825\n", + "20230826\n", + "20230827\n", + "20230828\n", + "20230829\n", + "20230830\n", + "20230831\n", + "20230901\n", + "20230902\n", + "20230903\n", + "20230904\n", + "20230905\n", + "20230906\n", + 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"20241215\n", + "20241216\n", + "20241217\n", + "20241218\n", + "20241219\n", + "20241220\n", + "20241221\n", + "20241222\n", + "20241223\n", "20241224\n", - "20241225\n" + "20241225\n", + "20241226\n", + "20241227\n", + "20241228\n", + "20241229\n", + "20241230\n", + "20241231\n", + "20250101\n" ] } ], "source": [ "from datetime import datetime, timedelta\n", "\n", - "start_date = datetime(2024, 12, 24)\n", - "end_date = datetime(2024, 12, 26)\n", + "start_date = datetime(2023, 8, 3)\n", + "end_date = datetime(2025, 1, 2)\n", "\n", "while start_date < end_date:\n", " print(start_date.strftime('%Y%m%d'))\n", " start(start_date)\n", + " # start_1(start_date)\n", " start_date += timedelta(days=1)\n", " \n", " " diff --git a/aisenzhecode/沥青/沥青定量价格预测每日推送-ytj.ipynb b/aisenzhecode/沥青/沥青定量价格预测每日推送-ytj.ipynb index 0b1d622..35957ad 100644 --- a/aisenzhecode/沥青/沥青定量价格预测每日推送-ytj.ipynb +++ b/aisenzhecode/沥青/沥青定量价格预测每日推送-ytj.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -579,8 +579,8 @@ " else:\n", " append_rows.append(\"\")\n", " save_xls(append_rows)\n", - " optimize_Model()\n", - " upload_data_to_system(token_push,date)\n", + " # optimize_Model()\n", + " # upload_data_to_system(token_push,date)\n", " # data_list.append(three_cols)\n", " # write_xls(data_list)\n", "\n", @@ -788,140 +788,37 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "20241223\n" + "20241231\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:299: UserWarning:\n", - "\n", - "The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using matplotlib backend: \n", - "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n", - "Populating the interactive namespace from numpy and matplotlib\n", - "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\IPython\\core\\magics\\pylab.py:162: UserWarning:\n", - "\n", - "pylab import has clobbered these variables: ['__version__', 'random', 'datetime', 'plot']\n", - "`%matplotlib` prevents importing * from pylab and numpy\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Best score: 0.997\n", - "Best parameters set:\n", - "\tlearning_rate: 0.1\n", - "\tmax_depth: 8\n", - "\tn_estimators: 90\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:239: UserWarning:\n", - "\n", - "The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n", - "\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:273: FutureWarning:\n", - "\n", - "Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "日期\n", - "2024-12-23 3503.160645\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据: ['2024-12-23', 7957.0, 6904.0, 0.08, 0.25, 3650.0, 1.54, 0.0, 0.0, 3500.0, 7.9, 0.1, 0.2, 3500.0, 1.05, '', 3500.0, 72.6, '', '', 3538.0, 27.0525, '', '', '', '', 229522.1, 8639.74, 3463.8854, '', '', 40121.2216621, 7423.12, '']\n", - "20241224\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:299: UserWarning:\n", - "\n", - "The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using matplotlib backend: QtAgg\n", - "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n", - "Populating the interactive namespace from numpy and matplotlib\n", - "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n", - "Best score: 0.997\n", - "Best parameters set:\n", - "\tlearning_rate: 0.1\n", - "\tmax_depth: 10\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:239: UserWarning:\n", - "\n", - "The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n", - "\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:273: FutureWarning:\n", - "\n", - "Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "日期\n", - "2024-12-24 3499.874512\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据: ['2024-12-24', 7984.0, 6904.0, 0.08, 0.25, 3650.0, 1.71, 0.0, 0.0, 3500.0, 7.9, 0.1, 0.2, 3500.0, 1.15, '', 3500.0, 72.6, 72.67, '', 3521.0, 25.6158, '', '', '', 13.33799789, 229522.1, 5417.02, 3427.8064, '', 1000.0, 44319.2299367, '', 3650.0]\n" + "ename": "PermissionError", + "evalue": "[Errno 13] Permission denied: '沥青数据项.xls'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mPermissionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[6], line 8\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m start_date \u001b[38;5;241m<\u001b[39m end_date:\n\u001b[0;32m 7\u001b[0m \u001b[38;5;28mprint\u001b[39m(start_date\u001b[38;5;241m.\u001b[39mstrftime(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mY\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mm\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m----> 8\u001b[0m start_3(start_date)\n\u001b[0;32m 9\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m 10\u001b[0m start_2(start_date)\n", + "Cell \u001b[1;32mIn[5], line 548\u001b[0m, in \u001b[0;36mstart_3\u001b[1;34m(date)\u001b[0m\n\u001b[0;32m 546\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 547\u001b[0m append_rows\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 548\u001b[0m save_xls(append_rows)\n", + "Cell \u001b[1;32mIn[5], line 723\u001b[0m, in \u001b[0;36msave_xls\u001b[1;34m(append_rows)\u001b[0m\n\u001b[0;32m 720\u001b[0m new_sheet\u001b[38;5;241m.\u001b[39mwrite(row_count, col, append_rows[col])\n\u001b[0;32m 722\u001b[0m \u001b[38;5;66;03m# 保存新的xls文件\u001b[39;00m\n\u001b[1;32m--> 723\u001b[0m new_workbook\u001b[38;5;241m.\u001b[39msave(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m沥青数据项.xls\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python311\\site-packages\\xlwt\\Workbook.py:710\u001b[0m, in \u001b[0;36mWorkbook.save\u001b[1;34m(self, filename_or_stream)\u001b[0m\n\u001b[0;32m 707\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m CompoundDoc\n\u001b[0;32m 709\u001b[0m doc \u001b[38;5;241m=\u001b[39m CompoundDoc\u001b[38;5;241m.\u001b[39mXlsDoc()\n\u001b[1;32m--> 710\u001b[0m doc\u001b[38;5;241m.\u001b[39msave(filename_or_stream, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_biff_data())\n", + "File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python311\\site-packages\\xlwt\\CompoundDoc.py:262\u001b[0m, in \u001b[0;36mXlsDoc.save\u001b[1;34m(self, file_name_or_filelike_obj, stream)\u001b[0m\n\u001b[0;32m 260\u001b[0m we_own_it \u001b[38;5;241m=\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(f, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwrite\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 261\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m we_own_it:\n\u001b[1;32m--> 262\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(file_name_or_filelike_obj, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mw+b\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 263\u001b[0m f\u001b[38;5;241m.\u001b[39mwrite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mheader)\n\u001b[0;32m 264\u001b[0m f\u001b[38;5;241m.\u001b[39mwrite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpacked_MSAT_1st)\n", + "\u001b[1;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '沥青数据项.xls'" ] } ], "source": [ "from datetime import datetime, timedelta\n", "\n", - "start_date = datetime(2024, 12, 23)\n", - "end_date = datetime(2024, 12, 25)\n", + "start_date = datetime(2024, 12, 31)\n", + "end_date = datetime(2025, 1, 2)\n", "\n", "while start_date < end_date:\n", " print(start_date.strftime('%Y%m%d'))\n", diff --git a/aisenzhecode/沥青/沥青数据项.xls b/aisenzhecode/沥青/沥青数据项.xls index 4599b2acf1dd0b1e5d44358041796ff5f6e293cb..443906454b0126dfb42e3d46dc1b456e6195cc59 100644 GIT binary patch literal 577536 zcmeFa2bdJq7BzZ$7?>eS90@WEdB`~n6glT4lEEP;0s;~g1PMk^%mK5am~+IOFyJ+3 zuNiZ`dNK2_eO8~Isye%;xqk1x?|tuk!?${-R`06X>+E%QrJmuX7pr`DpgK?k$O8@rY67)@+CUxP z5TGuQ57Yw+fciiKpdru*Xbdy~ngWGDGoU%p0%!@e0$KxYfVMz8pgqt5=m>NIIs;vR zu0S`SJJ16-6zB=`0(t`h&1Au|RAYd>s1Q-eo1BL@5fRVr`U^FlW7z>O8 z#sd?8iNGY_FkmupI4}j63QPm012ce`z${=kFb6mSC<5jJ^MLul0^msCC}1IQG_VL* z3@ibT0hR*GfaSokzzSd`unJfW90wc^tO3>nCjje!^}twcX))F;fbvE7zSORPHxBSC z4~}tm&cZqcx$w>Y z{mb_QS-TX1>fS2umU@o|RzZ1x)MB}FyjRjNUlZ>}dR( zWygL9sxa4%i7?Ai|HZc6vX1sunA9)Bd7%53IsIUAV<+PK24Eww3D^vr1e^?<2}oZ^ 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