diff --git a/aisenzhecode/沥青/定性模型数据项12-11.xlsx b/aisenzhecode/沥青/定性模型数据项12-11.xlsx index 6ac18e4..a60327d 100644 Binary files a/aisenzhecode/沥青/定性模型数据项12-11.xlsx and b/aisenzhecode/沥青/定性模型数据项12-11.xlsx 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 c23a7e3..3bd5591 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": null, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -14,7 +14,6 @@ "import time\n", "import pandas as pd\n", "pd.set_option('display.max_columns', None)\n", - "import datetime\n", "\n", "import numpy as np\n", "# 变量定义\n", @@ -78,9 +77,9 @@ " # 填充缺失值\n", " df = df.fillna(method='ffill')\n", "\n", - " # 获取最后两行数据\n", - " df1 = df.tail(2)\n", - " # print(df1)\n", + " # 获取昨天，前天数据\n", + " df1 = df[-3:-1]\n", + " print(df1)\n", " # 获取前一天的指定列值\n", " previous_value = df1.iloc[0, column_index]\n", " print('前一天的',previous_value,type(previous_value))\n", @@ -90,7 +89,7 @@ " # 判断指定列值的变化是否大于阈值\n", " if abs(current_value - previous_value) > threshold:\n", " # 如果变化大于阈值，将当前的指定列值改为前一天的值\n", - " df.iloc[-1, column_index] = previous_value\n", + " df.iloc[-2, column_index] = previous_value\n", " print('修改了')\n", " # print(df.tail())\n", " # 将修改后的数据写回Excel文件\n", @@ -310,7 +309,8 @@ " df = pd.read_excel('定性模型数据项12-11.xlsx')\n", "\n", " df=df.fillna(df.ffill())\n", - " df1 = df[-2:].reset_index()\n", + " df1 = df[-3:-1].reset_index()\n", + " print(df1)\n", " '''\n", " # if df1.loc[1,'70号沥青开工率'] > 0.3: \n", " 2025年1月8日 修改：\n", @@ -533,7 +533,7 @@ " # res = requests.post(url=upload_url, headers=headers1, json=data1, timeout=(3, 5))\n", " \n", "\n", - "def start():\n", + "def start(now=None):\n", " workbook = xlrd.open_workbook(read_file_path_name)\n", "\n", "\n", @@ -558,8 +558,8 @@ " print(\"获取认证失败\")\n", " token = None\n", "\n", - "\n", - " now = datetime.now()\n", + " if now is None:\n", + " now = datetime.now()\n", " year = now.year\n", " month = now.month\n", " day = now.day\n", @@ -644,11 +644,13 @@ " # 保存新的xls文件\n", " new_workbook.save(\"定性模型数据项12-11.xlsx\")\n", " \n", + " \n", " update_e_value('定性模型数据项12-11.xlsx', 8, 1000)\n", "\n", " df = pd.read_excel('定性模型数据项12-11.xlsx')\n", " df=df.fillna(df.ffill())\n", " df1 = df[-2:].reset_index()\n", + " print(df1)\n", " # if df1.loc[1,'70号沥青开工率'] > 0.3: -- 2025年1月9日 发版更改\n", " if df1.loc[1,'70号沥青开工率'] / 100 > 0.3:\n", " a = (df1.loc[1,'70号沥青开工率'] / 100 -0.2)*5/0.1\n", @@ -694,7 +696,6 @@ " # headers1 = {\"Authorization\": token_push}\n", " # res = requests.post(url=upload_url, headers=headers1, json=data1, timeout=(3, 5))\n", " \n", - " \n", "\n", "\n", "def start_test():\n", @@ -1004,7 +1005,7 @@ "\n", "def save_queryDataListItemNos_xls(data_df,dataItemNoList):\n", "\n", - " current_year_month = datetime.datetime.now().strftime('%Y-%m')\n", + " current_year_month = datetime.now().strftime('%Y-%m')\n", " grouped = data_df.groupby(\"dataDate\")\n", "\n", "\n", @@ -1035,16 +1036,20 @@ "\n", "\n", "\n", - "def queryDataListItemNos():\n", + "def queryDataListItemNos(date=None,token=None):\n", " df = pd.read_excel('定性模型数据项12-11.xlsx')\n", " dataItemNoList = df.iloc[0].tolist()[1:]\n", "\n", - " token = getLogToken()\n", - " if not token:\n", - " return\n", + " if token is None:\n", + " token = getLogToken()\n", + " if token is None:\n", + " print(\"获取token失败\")\n", + " return\n", "\n", " # 获取当前日期\n", - " current_date = datetime.datetime.now()\n", + " if date is None:\n", + " date = datetime.now()\n", + " current_date = date\n", "\n", " # 获取当月1日\n", " first_day_of_month = current_date.replace(day=1)\n", @@ -1068,7 +1073,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -1089,14 +1094,13 @@ " # current_time_1 = time.strftime(\"%H:%M:%S\", time.localtime())\n", "\n", "\n", - " # # 获取当月的数据写入到指定文件\n", - " # queryDataListItemNos()\n", + "\n", "\n", "\n", " # # 判断当前时间是否为执行任务的时间点\n", " # if current_time == \"12:00:00\":\n", " # print(\"执行定时任务\")\n", - " # start()\n", + " # start()\n", "\n", " # # 休眠1秒钟，避免过多占用CPU资源\n", " # time.sleep(1)\n", @@ -1109,23 +1113,19 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# if __name__ == \"__main__\":\n", - "# def main():\n", - "# # 获取当前日期\n", - "# date = datetime.now().date()\n", - "# date = date.strftime('%Y%m%d')\n", - "# # 获取登录token\n", - "# token = getLogToken()\n", - "# updateExcelData(date,token)\n", - "# update_e_value('定性模型数据项12-11.xlsx', 8, 1000)\n", - "# x = qualitativeModel()\n", - "# print('预测结果：',x)\n", - "# cur_time,cur_time2 = getNow(date)\n", - "# pushData(cur_time,x,token)\n", + " # def main(date='',token=None):\n", + " # updateExcelData(date,token)\n", + " # queryDataListItemNos(token=token)\n", + " # update_e_value('定性模型数据项12-11.xlsx', 8, 1000)\n", + " # x = qualitativeModel()\n", + " # print('**************************************************预测结果：',x)\n", + " # # cur_time,cur_time2 = getNow(date)\n", + " # # pushData(cur_time,x,token)\n", "\n", "# print(\"运行中...\")\n", "# # 每天定时12点运行\n", @@ -1159,23 +1159,23 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "20250304\n" + "20250401\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", + "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_6640\\43143909.py:66: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", + "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_6640\\43143909.py:70: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", " df = df.fillna(method='ffill')\n" ] }, @@ -1183,319 +1183,25 @@ "name": "stdout", "output_type": "stream", "text": [ - "前一天的 3543.2385 \n", - "现在的 3414.5246 \n", - "昨日计划提货偏差改之前 -571.14\n", - "昨日计划提货偏差改之后 339.1062000000002\n", - "**************************************************预测结果： 3585.63\n", - "20250305\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3414.5246 \n", - "现在的 3409.5135 \n", - "昨日计划提货偏差改之前 3173.74\n", - "昨日计划提货偏差改之后 436.6761999999999\n", - "**************************************************预测结果： 3781.57\n", - "20250306\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3409.5135 \n", - "现在的 3304.2291 \n", - "昨日计划提货偏差改之前 2324.63\n", - "昨日计划提货偏差改之后 608.3411999999998\n", - "**************************************************预测结果： 3760.78\n", - "20250307\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3304.2291 \n", - "现在的 3312.3543 \n", - "昨日计划提货偏差改之前 3426.43\n", - "昨日计划提货偏差改之后 232.5551999999998\n", - "**************************************************预测结果： 3781.31\n", - "20250308\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3312.3543 \n", - "现在的 3375.9949 \n", - "昨日计划提货偏差改之前 2314.8\n", - "昨日计划提货偏差改之后 95.26919999999973\n", - "**************************************************预测结果： 3781.04\n", - "20250309\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3375.9949 \n", - "现在的 3367.7575 \n", - "昨日计划提货偏差改之前 4676.24\n", - "昨日计划提货偏差改之后 -324.57479999999987\n", - "**************************************************预测结果： 3780.47\n", - "20250310\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3367.7575 \n", - "现在的 3347.97 \n", - "昨日计划提货偏差改之前 -1038.55\n", - "昨日计划提货偏差改之后 -176.92599999999993\n", - "**************************************************预测结果： 3780.72\n", - "20250311\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3347.97 \n", - "现在的 3282.8269 \n", - "昨日计划提货偏差改之前 2467.05\n", - "昨日计划提货偏差改之后 348.5867999999996\n", - "**************************************************预测结果： 3701.49\n", - "20250312\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3282.8269 \n", - "现在的 3362.2709 \n", - "昨日计划提货偏差改之前 -198.73\n", - "昨日计划提货偏差改之后 338.9767999999999\n", - "**************************************************预测结果： 3621.48\n", - "20250313\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3362.2709 \n", - "现在的 3476.9658 \n", - "昨日计划提货偏差改之前 2356.71\n", - "昨日计划提货偏差改之后 703.9968000000003\n", - "**************************************************预测结果： 3644.94\n", - "20250314\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3476.9658 \n", - "现在的 3426.2475 \n", - "昨日计划提货偏差改之前 2295.03\n", - "昨日计划提货偏差改之后 299.41520000000037\n", - "**************************************************预测结果： 3621.29\n", - "20250315\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3426.2475 \n", - "现在的 3471.3062 \n", - "昨日计划提货偏差改之前 3608.02\n", - "昨日计划提货偏差改之后 326.89519999999993\n", - "**************************************************预测结果： 3651.37\n", - "20250316\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3471.3062 \n", - "现在的 3484.929 \n", - "昨日计划提货偏差改之前 3044.14\n", - "昨日计划提货偏差改之后 309.15520000000015\n", - "**************************************************预测结果： 3651.31\n", - "20250317\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3484.929 \n", - "现在的 3553.0486 \n", - "昨日计划提货偏差改之前 653.09\n", - "昨日计划提货偏差改之后 304.6226999999999\n", - "**************************************************预测结果： 3651.3\n", - "20250318\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:53: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", - " df = df.applymap(lambda x: float(x) if isinstance(x, (int, float)) else x)\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10124\\1472055096.py:57: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " df = df.fillna(method='ffill')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "前一天的 3553.0486 \n", - "现在的 3543.2385 \n", - "昨日计划提货偏差改之前 3654.03\n", - "昨日计划提货偏差改之后 31.435199999999895\n", - "**************************************************预测结果： 3610.87\n" + " 日期 京博指导价 70号沥青开工率 资金因素 昨日计划提货偏差 生产情况 基质沥青库存 \\\n", + "1399 2025-04-06 3600.0 37.3095 1.0 -1051.74 6000.0 107382.182661 \n", + "1400 2025-04-07 3500.0 36.784 1.0 478.28 6000.0 107382.182661 \n", + "\n", + " 下游客户价格预期 即期成本 订单结构 计划产量 京博产量 \n", + "1399 3630.0 3136.0033 1.0 4982.8366 5715.5175 \n", + "1400 3630.0 2972.5098 1.0 4982.8366 5522.676 \n", + "前一天的 3136.0033 \n", + "现在的 2972.5098 \n", + " index 日期 京博指导价 70号沥青开工率 资金因素 昨日计划提货偏差 生产情况 基质沥青库存 \\\n", + "0 1399 2025-04-06 3600 37.3095 1 -1051.74 6000 107382.182661 \n", + "1 1400 2025-04-07 3500 36.784 1 478.28 6000 107382.182661 \n", + "\n", + " 下游客户价格预期 即期成本 订单结构 计划产量 京博产量 \n", + "0 3630 3136.0033 1 4982.8366 5715.5175 \n", + "1 3630 2972.5098 1 4982.8366 5522.676 \n", + "昨日计划提货偏差改之前 478.28\n", + "昨日计划提货偏差改之后 539.8394000000008\n", + "**************************************************预测结果： 3567.73\n" ] } ], @@ -1504,6 +1210,7 @@ "\n", "def main(date='',token=None):\n", " updateExcelData(date,token)\n", + " queryDataListItemNos(token=token)\n", " update_e_value('定性模型数据项12-11.xlsx', 8, 1000)\n", " x = qualitativeModel()\n", " print('**************************************************预测结果：',x)\n", @@ -1511,8 +1218,8 @@ " # pushData(cur_time,x,token)\n", "\n", "\n", - "start_date = datetime(2025, 3, 4)\n", - "end_date = datetime(2025, 3, 19)\n", + "start_date = datetime(2025, 4, 1)\n", + "end_date = datetime(2025, 4, 2)\n", "token = getLogToken()\n", "while start_date < end_date:\n", " print(start_date.strftime('%Y%m%d'))\n", @@ -1524,7 +1231,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -1537,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [