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 new file mode 100644 index 0000000..1f2866e Binary files /dev/null and b/aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月2日 备份.xls differ diff --git a/aisenzhecode/沥青/定性模型数据项12-11.xls b/aisenzhecode/沥青/定性模型数据项12-11.xls index 9d76fd8..a1823e0 100644 Binary files a/aisenzhecode/沥青/定性模型数据项12-11.xls and b/aisenzhecode/沥青/定性模型数据项12-11.xls differ diff --git a/aisenzhecode/沥青/定性模型计算规则与权重.xls b/aisenzhecode/沥青/定性模型计算规则与权重.xls new file mode 100644 index 0000000..0079764 Binary files /dev/null and b/aisenzhecode/沥青/定性模型计算规则与权重.xls differ diff --git a/aisenzhecode/沥青/日度价格预测_最佳模型.pkl b/aisenzhecode/沥青/日度价格预测_最佳模型.pkl index fbdd663..1958113 100644 Binary files a/aisenzhecode/沥青/日度价格预测_最佳模型.pkl and b/aisenzhecode/沥青/日度价格预测_最佳模型.pkl differ diff --git a/aisenzhecode/沥青/沥青定性模型每日推送-ytj.ipynb b/aisenzhecode/沥青/沥青定性模型每日推送-ytj.ipynb index 030d2c1..d6802d3 100644 --- a/aisenzhecode/沥青/沥青定性模型每日推送-ytj.ipynb +++ b/aisenzhecode/沥青/沥青定性模型每日推送-ytj.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 3, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -188,7 +188,6 @@ " h = df1.loc[1,'订单结构']\n", " x = round(0.08*a+0*b+0.15*c+0.08*d +0.03*e +0.08*f +0.4*g+0.18*h+df1.loc[0,'京博指导价'],2)\n", "\n", - "\n", " login_res1 = requests.post(url=login_push_url, json=login_push_data, timeout=(3, 5))\n", " text1 = json.loads(login_res1.text)\n", " token_push = text1[\"data\"][\"accessToken\"]\n", @@ -207,7 +206,7 @@ " ]\n", " }\n", " 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", + "20230907\n", + "20230908\n", + "20230909\n", + "20230910\n", + "20230911\n", + "20230912\n", + "20230913\n", + "20230914\n", + "20230915\n", + "20230916\n", + "20230917\n", + "20230918\n", + "20230919\n", + "20230920\n", + "20230921\n", + "20230922\n", + "20230923\n", + "20230924\n", + "20230925\n", + "20230926\n", + "20230927\n", + "20230928\n", + "20230929\n", + "20230930\n", + "20231001\n", + "20231002\n", + "20231003\n", + "20231004\n", + "20231005\n", + "20231006\n", + "20231007\n", + "20231008\n", + "20231009\n", + "20231010\n", + "20231011\n", + "20231012\n", + "20231013\n", + "20231014\n", + "20231015\n", + "20231016\n", + "20231017\n", + "20231018\n", + "20231019\n", + "20231020\n", + "20231021\n", + "20231022\n", + "20231023\n", + "20231024\n", + "20231025\n", + "20231026\n", + "20231027\n", + "20231028\n", + "20231029\n", + "20231030\n", + "20231031\n", + "20231101\n", + "20231102\n", + "20231103\n", + "20231104\n", + "20231105\n", + "20231106\n", + "20231107\n", + "20231108\n", + "20231109\n", + "20231110\n", + "20231111\n", + "20231112\n", + "20231113\n", + "20231114\n", + "20231115\n", + "20231116\n", + "20231117\n", + "20231118\n", + "20231119\n", + "20231120\n", + "20231121\n", + "20231122\n", + "20231123\n", + "20231124\n", + "20231125\n", + "20231126\n", + "20231127\n", + "20231128\n", + "20231129\n", + "20231130\n", + "20231201\n", + "20231202\n", + "20231203\n", + "20231204\n", + "20231205\n", + "20231206\n", + "20231207\n", + "20231208\n", + "20231209\n", + "20231210\n", + "20231211\n", + "20231212\n", + "20231213\n", + "{'dataDate': '20231213', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20231213', 'dataItemNo': 'SDHYSCQK'}\n", + "{'dataDate': '20231213', 'dataItemNo': 'SDHYZJYS'}\n", + "20231214\n", + "20231215\n", + "20231216\n", + "20231217\n", + "20231218\n", + "20231219\n", + "20231220\n", + "{'dataDate': '20231220', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20231220', 'dataItemNo': 'SDHYSCQK'}\n", + "{'dataDate': '20231220', 'dataItemNo': 'SDHYZJYS'}\n", + "20231221\n", + "20231222\n", + "20231223\n", + "20231224\n", + "20231225\n", + "20231226\n", + "20231227\n", + "{'dataDate': '20231227', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20231227', 'dataItemNo': 'SDHYSCQK'}\n", + "{'dataDate': '20231227', 'dataItemNo': 'SDHYZJYS'}\n", + "20231228\n", + "20231229\n", + "20231230\n", + "20231231\n", + "20240101\n", + "20240102\n", + "20240103\n", + "{'dataDate': '20240103', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240103', 'dataItemNo': 'SDHYSCQK'}\n", + "{'dataDate': '20240103', 'dataItemNo': 'SDHYZJYS'}\n", + "20240104\n", + "20240105\n", + "20240106\n", + "20240107\n", + "20240108\n", + "20240109\n", + "20240110\n", + "{'dataDate': '20240110', 'dataItemNo': 'SDHYDDJG'}\n", + "20240111\n", + "20240112\n", + "20240113\n", + "20240114\n", + "20240115\n", + "20240116\n", + "20240117\n", + "{'dataDate': '20240117', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240117', 'dataItemNo': 'SDHYSCQK'}\n", + "20240118\n", + "20240119\n", + "20240120\n", + "20240121\n", + "20240122\n", + "20240123\n", + "20240124\n", + "{'dataDate': '20240124', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240124', 'dataItemNo': 'SDHYSCQK'}\n", + "20240125\n", + "20240126\n", + "20240127\n", + "20240128\n", + "20240129\n", + "20240130\n", + "20240131\n", + "{'dataDate': '20240131', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240131', 'dataItemNo': 'SDHYSCQK'}\n", + "20240201\n", + "20240202\n", + "20240203\n", + "20240204\n", + "20240205\n", + "20240206\n", + "20240207\n", + "{'dataDate': '20240207', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240207', 'dataItemNo': 'SDHYSCQK'}\n", + "20240208\n", + "20240209\n", + "20240210\n", + "20240211\n", + "20240212\n", + "20240213\n", + "20240214\n", + "{'dataDate': '20240214', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240214', 'dataItemNo': 'SDHYSCQK'}\n", + "20240215\n", + "20240216\n", + "20240217\n", + "20240218\n", + "20240219\n", + "20240220\n", + "20240221\n", + "20240222\n", + "20240223\n", + "20240224\n", + "20240225\n", + "20240226\n", + "20240227\n", + "20240228\n", + "20240229\n", + "20240301\n", + "20240302\n", + "20240303\n", + "20240304\n", + "20240305\n", + "20240306\n", + "{'dataDate': '20240306', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240306', 'dataItemNo': 'SDHYSCQK'}\n", + "20240307\n", + "20240308\n", + "20240309\n", + "20240310\n", + "20240311\n", + "20240312\n", + "20240313\n", + "{'dataDate': '20240313', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240313', 'dataItemNo': 'SDHYSCQK'}\n", + "20240314\n", + "20240315\n", + "20240316\n", + "20240317\n", + "20240318\n", + "20240319\n", + "20240320\n", + "{'dataDate': '20240320', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240320', 'dataItemNo': 'SDHYSCQK'}\n", + "20240321\n", + "20240322\n", + "20240323\n", + "20240324\n", + "20240325\n", + "20240326\n", + "20240327\n", + "{'dataDate': '20240327', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240327', 'dataItemNo': 'SDHYSCQK'}\n", + "20240328\n", + "20240329\n", + "20240330\n", + "20240331\n", + "20240401\n", + "20240402\n", + "20240403\n", + "{'dataDate': '20240403', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240403', 'dataItemNo': 'SDHYSCQK'}\n", + "20240404\n", + "20240405\n", + "20240406\n", + "20240407\n", + "20240408\n", + "20240409\n", + "20240410\n", + "{'dataDate': '20240410', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240410', 'dataItemNo': 'SDHYSCQK'}\n", + "20240411\n", + "20240412\n", + "20240413\n", + "20240414\n", + "20240415\n", + "20240416\n", + "20240417\n", + "{'dataDate': '20240417', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240417', 'dataItemNo': 'SDHYSCQK'}\n", + "20240418\n", + "20240419\n", + "20240420\n", + "20240421\n", + "20240422\n", + "20240423\n", + "20240424\n", + "{'dataDate': '20240424', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240424', 'dataItemNo': 'SDHYSCQK'}\n", + "20240425\n", + "20240426\n", + "20240427\n", + "20240428\n", + "20240429\n", + "20240430\n", + "20240501\n", + "{'dataDate': '20240501', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240501', 'dataItemNo': 'SDHYSCQK'}\n", + "20240502\n", + "20240503\n", + "20240504\n", + "20240505\n", + "20240506\n", + "20240507\n", + "20240508\n", + "20240509\n", + "20240510\n", + "20240511\n", + "20240512\n", + "20240513\n", + "20240514\n", + "20240515\n", + "20240516\n", + "20240517\n", + "20240518\n", + "20240519\n", + "20240520\n", + "20240521\n", + "20240522\n", + "20240523\n", + "20240524\n", + "20240525\n", + "20240526\n", + "20240527\n", + "20240528\n", + "20240529\n", + "20240530\n", + "20240531\n", + "20240601\n", + "20240602\n", + "20240603\n", + "20240604\n", + "20240605\n", + "{'dataDate': '20240605', 'dataItemNo': 'SDHYDDJG'}\n", + "{'dataDate': '20240605', 'dataItemNo': 'SDHYSCQK'}\n", + "20240606\n", + "20240607\n", + "20240608\n", + "20240609\n", + "20240610\n", + "20240611\n", + "20240612\n", + "20240613\n", + "20240614\n", + "20240615\n", + "20240616\n", + "20240617\n", + "20240618\n", + "20240619\n", + "20240620\n", + "20240621\n", + "20240622\n", + "20240623\n", + "20240624\n", + "20240625\n", + "20240626\n", + "20240627\n", + "20240628\n", + "20240629\n", + "20240630\n", + "20240701\n", + "20240702\n", + "20240703\n", + "20240704\n", + "20240705\n", + "20240706\n", + "20240707\n", + "20240708\n", + "20240709\n", + "20240710\n", + "20240711\n", + "20240712\n", + "20240713\n", + "20240714\n", + "20240715\n", + "20240716\n", + "20240717\n", + "20240718\n", + "20240719\n", + "20240720\n", + "20240721\n", + "20240722\n", + "20240723\n", + "20240724\n", + "20240725\n", + "20240726\n", + "20240727\n", + "20240728\n", + "20240729\n", + "20240730\n", + "20240731\n", + "20240801\n", + "20240802\n", + "20240803\n", + "20240804\n", + "20240805\n", + "20240806\n", + "20240807\n", + "20240808\n", + "20240809\n", + "20240810\n", + "20240811\n", + "20240812\n", + "20240813\n", + "20240814\n", + "20240815\n", + "20240816\n", + "20240817\n", + "20240818\n", + "20240819\n", + "20240820\n", + "20240821\n", + "20240822\n", + "20240823\n", + "20240824\n", + "20240825\n", + "20240826\n", + "20240827\n", + "20240828\n", + "20240829\n", + "20240830\n", + "20240831\n", + "20240901\n", + "20240902\n", + "20240903\n", + "20240904\n", + "20240905\n", + "20240906\n", + "20240907\n", + "20240908\n", + "20240909\n", + "20240910\n", + "20240911\n", + "20240912\n", + "20240913\n", + "20240914\n", + "20240915\n", + "20240916\n", + "20240917\n", + "20240918\n", + "20240919\n", + "20240920\n", + "20240921\n", + "20240922\n", + "20240923\n", + "20240924\n", + "20240925\n", + "20240926\n", + "20240927\n", + "20240928\n", + "20240929\n", + "20240930\n", + "20241001\n", + "20241002\n", + "20241003\n", + "20241004\n", + "20241005\n", + "20241006\n", + "20241007\n", + "20241008\n", + "20241009\n", + "20241010\n", + "20241011\n", + "20241012\n", + "20241013\n", + "20241014\n", + "20241015\n", + "20241016\n", + "20241017\n", + "20241018\n", + "20241019\n", + "20241020\n", + "20241021\n", + "20241022\n", + "20241023\n", + "20241024\n", + "20241025\n", + "20241026\n", + "20241027\n", + "20241028\n", + "20241029\n", + "20241030\n", + "20241031\n", + "20241101\n", + "20241102\n", + "20241103\n", + "20241104\n", + "20241105\n", + "20241106\n", + "20241107\n", + "20241108\n", + "20241109\n", + "20241110\n", + "20241111\n", + "20241112\n", + "20241113\n", + "20241114\n", + "20241115\n", + "20241116\n", + "20241117\n", + "20241118\n", + "20241119\n", + "20241120\n", + "20241121\n", + "20241122\n", + "20241123\n", + "20241124\n", + "20241125\n", + "20241126\n", + "20241127\n", + "20241128\n", + "20241129\n", + "20241130\n", + "20241201\n", + "20241202\n", + "20241203\n", + "20241204\n", + "20241205\n", + "20241206\n", + "20241207\n", + "20241208\n", + "20241209\n", + "20241210\n", + "20241211\n", + "20241212\n", + "20241213\n", + "20241214\n", + "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 4599b2a..4439064 100644 Binary files a/aisenzhecode/沥青/沥青数据项.xls and b/aisenzhecode/沥青/沥青数据项.xls differ diff --git a/lib/dataread.py b/lib/dataread.py index 8eb14c0..29c6ac4 100644 --- a/lib/dataread.py +++ b/lib/dataread.py @@ -41,9 +41,9 @@ plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签 plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号 # from config_jingbo_pro import * -# from config_jingbo import * +from config_jingbo import * # from config_yongan import * -from config_juxiting import * +# from config_juxiting import * diff --git a/main_juxiting.py b/main_juxiting.py index 3c4494e..e4fdaa2 100644 --- a/main_juxiting.py +++ b/main_juxiting.py @@ -127,6 +127,7 @@ def predict_main(): modelsindex = modelsindex, data = data, is_eta=is_eta, + end_time=end_time, )