diff --git a/aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月16日备份.xls b/aisenzhecode/沥青/备份/定性模型数据项12-11 - 2025年1月16日备份.xls similarity index 100% rename from aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月16日备份.xls rename to aisenzhecode/沥青/备份/定性模型数据项12-11 - 2025年1月16日备份.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/备份/定性模型数据项12-11 - 2025年1月2日 备份.xls similarity index 100% rename from aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月2日 备份.xls rename to aisenzhecode/沥青/备份/定性模型数据项12-11 - 2025年1月2日 备份.xls diff --git a/aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月8日备份.xls b/aisenzhecode/沥青/备份/定性模型数据项12-11 - 2025年1月8日备份.xls similarity index 100% rename from aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月8日备份.xls rename to aisenzhecode/沥青/备份/定性模型数据项12-11 - 2025年1月8日备份.xls diff --git a/aisenzhecode/沥青/定性模型数据项12-11.xls b/aisenzhecode/沥青/备份/定性模型数据项12-11.xls similarity index 100% rename from aisenzhecode/沥青/定性模型数据项12-11.xls rename to aisenzhecode/沥青/备份/定性模型数据项12-11.xls diff --git a/aisenzhecode/沥青/定性模型计算规则与权重.xls b/aisenzhecode/沥青/备份/定性模型计算规则与权重.xls similarity index 100% rename from aisenzhecode/沥青/定性模型计算规则与权重.xls rename to aisenzhecode/沥青/备份/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.xlsx b/aisenzhecode/沥青/定性模型数据项12-11.xlsx index 29acdd4..6ac18e4 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/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 9e7d0ab..c672501 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 a9754b4..c23a7e3 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 @@ -14,6 +14,7 @@ "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", @@ -21,6 +22,7 @@ "# query_data_list_item_nos_url\n", "search_url = \"http://10.200.32.39/jingbo-api/api/warehouse/dwDataItem/queryByItemNos\" #jingbo-dev/api/warehouse/dwDataItem/queryDataListItemNos\n", "upload_url = \"http://10.200.32.39/jingbo-api/api/dw/dataValue/pushDataValueList\"\n", + "queryDataListItemNos_url = \"http://10.200.32.39/jingbo-api//api/warehouse/dwDataItem/queryDataListItemNos\"\n", "\n", "\n", "query_data_list_item_nos_data = {\n", @@ -972,28 +974,125 @@ " # 保存新的xls文件\n", " new_workbook.save(\"定性模型数据项12-11.xlsx\")\n", "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "def get_queryDataListItemNos_value(token, url, dataItemNoList, dateStart, dateEnd):\n", + "\n", + " search_data = {\n", + " \"funcModule\": \"数据项\",\n", + " \"funcOperation\": \"查询\",\n", + " \"data\": {\n", + " \"dateStart\": dateStart,\n", + " \"dateEnd\": dateEnd,\n", + " \"dataItemNoList\": dataItemNoList # 数据项编码,代表 brent最低价和最高价\n", + " }\n", + " }\n", + "\n", + " headers = {\"Authorization\": token}\n", + " search_res = requests.post(url=url, headers=headers, json=search_data, timeout=(3, 5))\n", + " search_value = json.loads(search_res.text)[\"data\"]\n", + " if search_value:\n", + " return search_value\n", + " else:\n", + " return None\n", + "\n", + "\n", + "\n", + "def save_queryDataListItemNos_xls(data_df,dataItemNoList):\n", + "\n", + " current_year_month = datetime.datetime.now().strftime('%Y-%m')\n", + " grouped = data_df.groupby(\"dataDate\")\n", + "\n", + "\n", + " df_old = pd.read_excel('定性模型数据项12-11.xlsx')\n", + " df_old0 = df_old[:1]\n", + " result_dict = {df_old0.iloc[0][col] : col for col in df_old0.columns}\n", + " df_old1 = df_old[1:].copy()\n", + "\n", + " df_old1[\"日期\"] = pd.to_datetime(df_old1[\"日期\"])\n", + " # 删除日期列为本月的数据\n", + " df_old1 = df_old1[~df_old1[\"日期\"].dt.strftime('%Y-%m').eq(current_year_month)]\n", + " df_old1[\"日期\"] = df_old1[\"日期\"].dt.strftime('%Y-%m-%d')\n", + "\n", + "\n", + " list_data = []\n", + " for date, group in grouped:\n", + " dict_data = {\"日期\": date}\n", + " for index, row in group.iterrows():\n", + " dict_data[result_dict[row['dataItemNo']]] = row['dataValue']\n", + " list_data.append(dict_data)\n", + "\n", + " df_current_year_month = pd.DataFrame(list_data)\n", + " df_current_year_month\n", + "\n", + " df_merged = pd.concat([df_old0, df_old1, df_current_year_month], ignore_index=True)\n", + "\n", + " df_merged.to_excel('定性模型数据项12-11.xlsx', index=False)\n", + "\n", + "\n", + "\n", + "def queryDataListItemNos():\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", + "\n", + " # 获取当前日期\n", + " current_date = datetime.datetime.now()\n", + "\n", + " # 获取当月1日\n", + " first_day_of_month = current_date.replace(day=1)\n", + "\n", + " # 格式化为 YYYYMMDD 格式\n", + " dateEnd = current_date.strftime('%Y%m%d')\n", + " dateStart = first_day_of_month.strftime('%Y%m%d')\n", + "\n", + " search_value = get_queryDataListItemNos_value(token, queryDataListItemNos_url, dataItemNoList, dateStart, dateEnd)\n", + " # print(\"search_value\",search_value)\n", + "\n", + "\n", + " data_df = pd.DataFrame(search_value)\n", + "\n", + " data_df[\"dataDate\"] = pd.to_datetime(data_df[\"dataDate\"])\n", + " data_df[\"dataDate\"] = data_df[\"dataDate\"].dt.strftime('%Y-%m-%d')\n", + " save_queryDataListItemNos_xls(data_df,dataItemNoList)\n", + "\n", "\n" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "### 原始代码备份\n", "\n", - "# if __name__ == \"__main__\":\n", + "if __name__ == \"__main__\":\n", + " pass\n", "\n", " # 需要单独运行放开\n", - "# start_1()\n", + " # start_1()\n", + " # start()\n", "\n", - " # # 每天定时12点运行\n", + "\n", + " # 每天定时12点运行\n", " # while True:\n", " # # 获取当前时间\n", " # current_time = time.strftime(\"%H:%M:%S\", time.localtime())\n", " # 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", " # # 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", 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 51725e9..d13ce47 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": null, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -11,23 +11,23 @@ " \n", - " \n", " " ] }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\h5218\\AppData\\Local\\Temp\\ipykernel_25428\\1736143337.py:811: DeprecationWarning:\n", - "\n", - "The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.\n", - "\n" - ] } ], "source": [ @@ -237,8 +237,8 @@ " ]\n", " }\n", " headers = {\"Authorization\": token_push}\n", - " res = requests.post(url=upload_url, headers=headers, json=data, timeout=(3, 5))\n", - " print(res.text)\n", + " # res = requests.post(url=upload_url, headers=headers, json=data, timeout=(3, 5))\n", + " # print(res.text)\n", "\n", " \n", "# def upload_data_to_system(token):\n", @@ -894,8 +894,9 @@ " # current_time = time.strftime(\"%H:%M:%S\", time.localtime())\n", " # current_time_1 = time.strftime(\"%H:%M:%S\", time.localtime())\n", "\n", - " # 获取当月的数据写入到指定文件\n", - " # queryDataListItemNos()\n", + " # 获取当月的数据写入到指定文件\n", + " # queryDataListItemNos()\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", @@ -925,1489 +926,98 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "20250201\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: ['datetime', 'random', '__version__', '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: 100\n", - "日期\n", - "2025-02-01 3649.48877\n", - "Name: 日度预测价格, dtype: float32\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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": [ - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-01', 8857.0, 6904.0, '', '', '', '', '', '', '', '', '', '', '', '', '', 3650.0, 74.88, 76.48, '', '', 25.5319, '', '', '', '', 229522.1, '', 3619.0713, '', '', 141390.8400342, 5245.69, '']\n", - "20250202\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n", - "日期\n", - "2025-02-02 3649.591064\n", - "Name: 日度预测价格, dtype: float32\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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": [ - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-02', 8857.0, 6883.0, '', '', '', '', '', '', '', '', '', '', '', '', '', 3650.0, 76.48, '', '', '', 25.5319, '', '', '', '', 229522.1, '', 3624.724, '', '', 146444.993536, 4650.255, '']\n", - "20250203\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n", - "日期\n", - "2025-02-03 3648.494873\n", - "Name: 日度预测价格, dtype: float32\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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": [ - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-03', 8857.0, 6883.0, '', '', '', '', '', '', '', '', '', '', '', '', '', 3650.0, 76.48, '', '', '', 25.5319, '', '', '', '', 229522.1, '', 3698.7029, '', '', 151802.9709409, 4656.745, '']\n", - "20250204\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 6\n", - "\tn_estimators: 100\n", - "日期\n", - "2025-02-04 3645.0979\n", - "Name: 日度预测价格, dtype: float32\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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": [ - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-04', 8905.0, 6948.0, 0.0, 0.0, 3600.0, 0.0, 0.0, 0.0, 3600.0, 7.9, 0.0, 0.2, 3610.0, 4.0, '', 3650.0, 76.48, 75.4, '', '', 26.4775, '', '', '', 17.21173912, 229522.1, 32.7, 3671.4625, '', '', 156872.340789, 4608.25, '']\n", - "20250205\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-05 3688.996338\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-05', 8956.0, 7022.0, 0.0, 0.25, 3600.0, 0.5, 0.0, 0.0, 3600.0, 7.9, 0.0, 0.2, 3610.0, 4.0, '', 3700.0, 76.48, 76.06, '', 3797.0, 27.4232, '', '', '', '', 229522.1, 857.76, 3622.508, '', '', 160664.5999171, 4644.21, '']\n", - "20250206\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n", - "日期\n", - "2025-02-06 3733.748779\n", - "Name: 日度预测价格, dtype: float32\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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": [ - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-06', 8956.0, 7066.0, 0.0, 0.25, 3600.0, 0.75, 0.0, 0.0, 3600.0, 7.9, 0.0, 0.2, 3610.0, 4.2, '', 3750.0, 76.48, 74.68, '', 3779.0, 27.7541, '', '', '', '', 229522.1, 1217.12, 3513.5033, '', '', 164388.6227375, 4692.07, '']\n", - "20250207\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n", - "日期\n", - "2025-02-07 3745.448975\n", - "Name: 日度预测价格, dtype: float32\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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": [ - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-07', 8921.0, 7031.0, 0.1, 0.25, 3650.0, 0.8, 0.0, 0.0, 3600.0, 7.9, 0.0, 0.2, 3610.0, 4.4, '', 3750.0, 76.48, 74.23, '', 3812.0, 27.7541, '', '', '', '', 229522.1, 942.0, 3631.0462, '', '', 168393.8166163, 4672.16, '']\n", - "20250208\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-08 3749.983154\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-08', 8866.0, 7004.0, 0.15, 0.25, 3650.0, 0.8, 0.0, 0.0, 3650.0, 7.9, 0.0, 0.2, 3900.0, 4.6, '', 3750.0, 76.48, 74.64, '', '', 27.7541, '', '', '', '', 229522.1, 1089.08, 3664.8865, '', 1000.0, 172610.1660848, 4653.84, 4300.0]\n", - "20250209\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-09 3748.356934\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-09', 8875.0, 7013.0, '', '', '', '', '', '', '', '', '', '', '', '', '', 3750.0, 74.64, '', '', '', 27.7541, '', '', '', '', 229522.1, 1952.98, 3680.6229, '', '', 175400.4021806, 4608.75, '']\n", - "20250210\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-10 3749.152832\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-10', 8875.0, 7013.0, 0.15, 0.25, 3650.0, 0.9, 0.0, 0.0, 3650.0, 7.9, 0.0, 0.2, 3900.0, 4.8, '', 3750.0, 74.64, '', '', 3778.0, 28.608, '', '', '', '', 229522.1, 2114.7, 3719.1501, '', 2000.0, 177876.7630674, 4607.05, 4350.0]\n", - "20250211\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-11 3781.463379\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-11', 8875.0, 7031.0, 0.15, 0.25, 3650.0, 1.0, 0.0, 0.0, 3650.0, 7.9, 0.0, 0.2, 3900.0, 4.8, '', 3800.0, 74.64, 76.01, '', 3776.0, 26.9001, '', '', '', 18.76416033, 229522.1, 1951.18, 3806.0186, '', '', 180448.1199647, 4613.8, '']\n", - "20250212\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-12 3796.577637\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-12', 8875.0, 7048.0, 0.15, 0.25, 3650.0, 1.1, 0.0, 0.0, 3650.0, 7.9, 0.0, 0.2, 3900.0, 5.0, '', 3800.0, 74.64, 76.81, '', 3815.0, 26.4731, '', '', '', '', 229522.1, 2152.16, 3870.8876, '', '', 182396.406576, 4647.48, '']\n", - "20250213\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 6\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-13 3750.037598\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-13', 8793.0, 7048.0, 0.25, 0.25, 3650.0, 1.1, 0.0, 0.0, 3650.0, 7.9, 0.0, 0.2, 3900.0, 5.0, '', 3750.0, 74.64, 75.05, '', 3774.0, 26.4731, '', '', '', '', 229522.1, 3355.24, 3669.5691, '', '', 183890.1934195, 4734.48, '']\n", - "20250214\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 6\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-14 3728.556396\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-14', 8722.0, 7013.0, 0.25, 0.0, 3700.0, 1.0, 0.0, 0.0, 3650.0, 7.9, 0.0, 0.2, 3900.0, 5.02, '', 3750.0, 74.64, 74.95, '', 3845.0, 25.4056, '', '', '', '', 229522.1, 3253.8, 3727.5257, '', 69100.0, 185548.7828382, 4739.77, 3762.16]\n", - "20250215\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-15 3746.874268\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-15', 8722.0, 7013.0, '', '', '', '', '', '', '', '', '', '', '', '', '', 3750.0, 74.64, 74.54, '', '', 25.6191, '', '', '', '', 229522.1, 2481.98, 3653.1038, '', '', 187515.8161794, 4804.46, '']\n", - "20250216\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-16 3747.566162\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-16', 8674.0, 7013.0, '', '', '', '', '', '', '', '', '', '', '', '', '', 3750.0, 74.54, '', '', '', 29.035, '', '', '', '', 229522.1, 2292.94, 3690.2938, '', '', 189432.9075113, 4675.12, '']\n", - "20250217\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-17 3732.293945\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-17', 8674.0, 7040.0, 0.25, 0.0, 3700.0, 0.25, 0.0, 0.0, 3650.0, 7.9, 0.0, 0.2, 3900.0, 5.02, '', 3800.0, 74.54, '', '', 3848.0, 29.035, '', '', '', '', 229522.1, 4599.04, 3666.4264, '', '', 189083.3783045, 4586.52, '']\n", - "20250218\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-18 3795.842529\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-18', 8674.0, 7040.0, 0.25, 0.0, 3750.0, 0.0, 0.0, 0.0, 3720.0, 7.9, 0.0, 0.2, 3900.0, 5.02, '', 3800.0, 74.54, 75.27, '', 3841.0, 30.743, '', '', '', 20.61467278, 229522.1, 5928.64, 3710.5143, '', '', 188001.5349243, 4604.98, '']\n", - "20250219\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-19 3822.068604\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-19', 8674.0, 7075.0, 0.0, 0.0, 3750.0, 0.0, 0.0, 0.0, 3740.0, 7.9, 0.0, 0.2, 3900.0, 5.22, '', 3830.0, 74.54, 75.78, '', 3851.0, 30.316, '', '', '', '', 229522.1, 8551.98, 3786.9784, '', '', 184432.5439619, 4519.94, 3930.0]\n", - "20250220\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-20 3842.454102\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-20', 8674.0, 7093.0, 0.0, 0.0, 3750.0, 0.0, 0.0, 0.0, 3740.0, 7.9, 0.0, 0.2, 3900.0, 5.42, '', 3850.0, 74.54, 73.91, '', 3896.0, 31.1699, '', '', '', '', 229522.1, 4115.4, 3766.1403, '', '', 185342.1838277, 4539.08, 3830.0]\n", - "20250221\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n", - "日期\n", - "2025-02-21 3846.23999\n", - "Name: 日度预测价格, dtype: float32\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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": [ - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-21', 8674.0, 7093.0, 0.0, 0.0, 3750.0, 0.0, 0.0, 0.0, 3740.0, 7.9, 0.0, 0.2, 3900.0, 5.42, '', 3850.0, 74.54, 76.2, '', 3858.0, 31.5969, '', '', '', '', 229522.1, 4402.52, 3747.6395, '', '', 184989.3385082, 4538.6, 3950.0]\n", - "20250222\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 6\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-22 3809.211426\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-22', 8593.0, 7093.0, '', '', '', '', '', '', '', '', '', '', '', '', '', 3850.0, 74.54, 73.88, '', '', 32.0239, '', '', '', '', 229522.1, 6220.82, 3564.5329, '', '', 183545.0232586, 4520.43, 4450.0]\n", - "20250223\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-23 3821.075195\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-23', 8513.0, 7057.0, '', '', '', '', '', '', '', '', '', '', '', '', '', 3850.0, 73.88, '', '', '', 32.0239, '', '', '', '', 229522.1, 3392.88, 3585.6018, '', '', 185118.7322799, 4533.5, '']\n", - "20250224\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 8\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-24 3822.739014\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-24', 8513.0, 7057.0, 0.0, 0.0, 3750.0, 0.0, 0.0, 0.0, 3740.0, 7.9, 0.0, 0.2, 3900.0, 6.02, '', 3800.0, 73.88, 74.25, '', 3776.0, 28.608, '', '', '', '', 229522.1, 4361.18, 3668.5404, '', '', 185891.7861848, 4555.8, '']\n", - "20250225\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 0.3\n", - "\tmax_depth: 6\n", - "\tn_estimators: 90\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-25 3801.672852\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-25', 8513.0, 7075.0, 0.0, 0.0, 3800.0, 0.0, 0.0, 0.0, 3740.0, 7.9, 0.0, 0.2, 3900.0, 6.22, '', 3800.0, 73.88, 74.21, '', 3765.0, 28.608, '', '', '', 22.28599337, 229522.1, 8277.63, 3791.3805, '', '', 185694.2309829, 4606.21, 3800.0]\n", - "20250226\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 6\n", - "\tn_estimators: 100\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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", - "2025-02-26 3803.440674\n", - "Name: 日度预测价格, dtype: float32\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-26', 8513.0, 7075.0, 0.0, 0.0, 3800.0, 0.0, 0.0, 0.0, 3740.0, 7.9, 0.0, 0.2, 3850.0, 6.42, '', 3800.0, 73.88, 72.29, '', 3709.0, 27.3271, '', '', '', '', 229522.1, 11357.48, 3553.9243, '', '', 181663.5231306, 4669.52, '']\n", - "20250227\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 6\n", - "\tn_estimators: 100\n", - "日期\n", - "2025-02-27 3795.412354\n", - "Name: 日度预测价格, dtype: float32\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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": [ - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-27', 8441.0, 7075.0, 0.0, 0.0, 3800.0, 0.0, 0.0, 0.0, 3740.0, 7.9, 0.0, 0.2, 3850.0, 6.62, '', 3800.0, 73.88, 72.31, '', 3667.0, 27.7541, '', '', '', '', 229522.1, 12640.91, 3576.4854, '', 43000.0, 176741.4527006, 4624.73, 3790.04]\n", - "20250228\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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: 6\n", - "\tn_estimators: 100\n", - "日期\n", - "2025-02-28 3801.021729\n", - "Name: 日度预测价格, dtype: float32\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_7996\\2158043523.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_7996\\2158043523.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": [ - "{\"confirmFlg\":false,\"status\":true}\n", - "新增数据： ['2025-02-28', 8441.0, 7113.0, 0.0, 0.0, 3800.0, 0.0, 0.0, 0.0, 3740.0, 7.9, 0.0, 0.2, 3850.0, 6.82, '', 3800.0, 73.88, 73.35, '', 3689.0, 27.7541, 81.6, '', '', '', 229522.1, 6400.74, 3645.4569, '', '', '', 3959.0, '']\n" - ] - } - ], + "outputs": [], "source": [ - "from datetime import datetime, timedelta\n", + "# from datetime import datetime, timedelta\n", "\n", - "start_date = datetime(2025, 2, 1)\n", - "end_date = datetime(2025, 3, 1)\n", - "token = get_head_auth()\n", + "# start_date = datetime(2025, 2, 1)\n", + "# end_date = datetime(2025, 3, 1)\n", + "# token = get_head_auth()\n", "\n", - "token_push = get_head_push_auth()\n", + "# token_push = get_head_push_auth()\n", "\n", - "while start_date < end_date:\n", - " print(start_date.strftime('%Y%m%d'))\n", - " start_3(start_date,token,token_push)\n", - " time.sleep(1)\n", - " start_2(start_date,token)\n", - " start_date += timedelta(days=1)" + "# while start_date < end_date:\n", + "# print(start_date.strftime('%Y%m%d'))\n", + "# start_3(start_date,token,token_push)\n", + "# time.sleep(1)\n", + "# start_2(start_date,token)\n", + "# start_date += timedelta(days=1)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_19596\\1389844199.py:811: DeprecationWarning:\n", + "\n", + "The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.\n", + "\n", + "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_19596\\1389844199.py:302: 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: 6\n", + "\tn_estimators: 100\n", + "日期\n", + "2025-03-26 3627.309326\n", + "Name: 日度预测价格, dtype: float32\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_19596\\1389844199.py:242: 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_19596\\1389844199.py:276: 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" + ] + }, + { + "data": { + "text/plain": [ + "3627.31" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "queryDataListItemNos()\n", + "optimize_Model()\n", + "forecast_price()" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "base", "language": "python", "name": "python3" }, @@ -2421,7 +1031,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.4" + "version": "3.11.7" } }, "nbformat": 4, diff --git a/aisenzhecode/沥青/沥青数据项.xls b/aisenzhecode/沥青/沥青数据项.xls index 384c605..f8032d5 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/aisenzhecode/液化石油气/化工品价格预测准确率.xlsx b/aisenzhecode/液化石油气/化工品价格预测准确率.xlsx deleted file mode 100644 index 31df769..0000000 Binary files a/aisenzhecode/液化石油气/化工品价格预测准确率.xlsx and /dev/null differ diff --git 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a/百川数据test.csv b/百川数据test.csv deleted file mode 100644 index 3d912f0..0000000 --- a/百川数据test.csv +++ /dev/null @@ -1,2088 +0,0 @@ -BAICHUAN_ID,DATA_DATE,DATA_VALUE -1588348470396480888,20240701,1250.00000000 -1588348470396480915,20240701,1340.00000000 -1588348470396481084,20240701,1140.00000000 -1588348470396480905,20240701,1913.00000000 -1588348470396480930,20240701,1050.00000000 -1588348470396480902,20240701,1913.00000000 -1588348470396480929,20240701,1103.00000000 -1588348470396480925,20240701,1160.00000000 -1588348470396480903,20240701,2183.00000000 -1588348470396480917,20240701,1280.00000000 -1588348470396480903,20240702,2183.00000000 -1588348470396480905,20240702,1913.00000000 -1588348470396481084,20240702,1140.00000000 -1588348470396480930,20240702,1050.00000000 -1588348470396480902,20240702,1933.00000000 -1588348470396480929,20240702,1103.00000000 -1588348470396480915,20240702,1340.00000000 -1588348470396480925,20240702,1160.00000000 -1588348470396480917,20240702,1290.00000000 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