diff --git a/aisenzhecode/石油苯/日度价格预测_最佳模型.pkl b/aisenzhecode/石油苯/日度价格预测_最佳模型.pkl index 06b4fce..b25f3a2 100644 Binary files a/aisenzhecode/石油苯/日度价格预测_最佳模型.pkl and b/aisenzhecode/石油苯/日度价格预测_最佳模型.pkl differ diff --git a/aisenzhecode/石油苯/纯苯价格预测-自定义日期ytj.ipynb b/aisenzhecode/石油苯/纯苯价格预测-自定义日期ytj.ipynb index b2e2801..944eb98 100644 --- a/aisenzhecode/石油苯/纯苯价格预测-自定义日期ytj.ipynb +++ b/aisenzhecode/石油苯/纯苯价格预测-自定义日期ytj.ipynb @@ -11,23 +11,23 @@ " \n", - " \n", " " ] }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\h5218\\AppData\\Local\\Temp\\ipykernel_35936\\3451377547.py:725: 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": [ @@ -35,7 +35,7 @@ "import json\n", "import xlrd\n", "import xlwt\n", - "from datetime import datetime\n", + "from datetime import datetime,timedelta\n", "import time\n", "# 变量定义\n", "login_url = \"http://10.200.32.39/jingbo-api/api/server/login\"\n", @@ -96,7 +96,6 @@ "from sklearn.linear_model import Lasso\n", "from xgboost import XGBRegressor\n", "\n", - "import datetime\n", "import statsmodels.api as sm\n", "try:\n", " from keras.preprocessing.sequence import TimeseriesGenerator\n", @@ -191,8 +190,7 @@ "\n", "def get_cur_time(date=''):\n", " if date == '':\n", - " import datetime\n", - " now = datetime.datetime.now()\n", + " now = datetime.now()\n", " else:\n", " now = date\n", " year = now.year\n", @@ -222,22 +220,22 @@ "\n", "def upload_data_to_system(token_push,date):\n", " datavalue = forecast_price()\n", - " data = {\n", - " \"funcModule\": \"数据表信息列表\",\n", - " \"funcOperation\": \"新增\",\n", - " \"data\": [\n", - " {\"dataItemNo\": \"C01100047|FORECAST_PRICE\",\n", - " \"dataDate\": get_cur_time(date)[0],\n", - " \"dataStatus\": \"add\",\n", - " \"dataValue\": datavalue\n", - " }\n", + " # data = {\n", + " # \"funcModule\": \"数据表信息列表\",\n", + " # \"funcOperation\": \"新增\",\n", + " # \"data\": [\n", + " # {\"dataItemNo\": \"C01100047|FORECAST_PRICE\",\n", + " # \"dataDate\": get_cur_time(date)[0],\n", + " # \"dataStatus\": \"add\",\n", + " # \"dataValue\": datavalue\n", + " # }\n", "\n", - " ]\n", - " }\n", - " print(data)\n", - " headers = {\"Authorization\": token_push}\n", - " res = requests.post(url=upload_url, headers=headers, json=data, timeout=(3, 5))\n", - " print(res.text)\n", + " # ]\n", + " # }\n", + " # print(data)\n", + " # headers = {\"Authorization\": token_push}\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", @@ -336,7 +334,6 @@ " from sklearn.linear_model import Lasso\n", " from xgboost import XGBRegressor\n", "\n", - " from datetime import datetime\n", " import statsmodels.api as sm\n", " try:\n", " from keras.preprocessing.sequence import TimeseriesGenerator\n", @@ -506,19 +503,17 @@ "\n", "\n", "\n", - "def start(date):\n", + "def start(date,token=None,token_push=None):\n", " read_xls_data()\n", "\n", - " token = get_head_auth()\n", - " if not token:\n", - " return\n", - " token_push = get_head_push_auth()\n", - " if not token_push:\n", - " return\n", + " if token == None:\n", + " token = get_head_auth()\n", + " token_push = get_head_push_auth()\n", "\n", " datas = get_data_value(token, one_cols[1:],date)\n", - "# if not datas:\n", - "# return\n", + " if not datas:\n", + " print(\"今天没有新数据\")\n", + " return\n", "\n", " # data_list = [two_cols, one_cols]\n", " append_rows = [get_cur_time(date)[1]]\n", @@ -536,7 +531,12 @@ " else:\n", " append_rows.append(\"\")\n", " save_xls(append_rows)\n", + " \n", + " # 获取当月的数据写入到指定文件，如果是补充数据，不需要执行\n", + " queryDataListItemNos()\n", + " # 模型训练\n", " optimize_Model()\n", + " # 上传预测数据\n", " upload_data_to_system(token_push,date)\n", " # data_list.append(three_cols)\n", " # write_xls(data_list)\n", @@ -701,7 +701,7 @@ "\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", " # 打开xls文件\n", @@ -768,16 +768,14 @@ "\n", "\n", "\n", - "def queryDataListItemNos():\n", + "def queryDataListItemNos(token=None):\n", " df = pd.read_excel('纯苯数据项.xls')\n", " dataItemNoList = df.iloc[0].tolist()[1:]\n", "\n", - " token = get_head_auth()\n", - " if not token:\n", - " return\n", - "\n", + " if token == None:\n", + " token = get_head_auth()\n", " # 获取当前日期\n", - " current_date = datetime.datetime.now()\n", + " current_date = datetime.now()\n", "\n", " # 获取当月1日\n", " first_day_of_month = current_date.replace(day=1)\n", @@ -800,32 +798,27 @@ "\n", "\n", "if __name__ == \"__main__\":\n", - " # queryDataListItemNos()\n", - " pass\n", - " # 需要单独运行放开\n", - " # start_1()\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", - " # # 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 == \"09:15:00\":\n", - " # print(\"执行定时任务\")\n", - " # start()\n", - "\n", - " # # 休眠1秒钟，避免过多占用CPU资源\n", - " # time.sleep(1)\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", - " # elif current_time_1 == \"20:00:00\":\n", - " # print(\"更新数据\")\n", - " # start_1()\n", - " # time.sleep(1)\n", + "\n", + "\n", + " # 判断当前时间是否为执行任务的时间点\n", + " if current_time == \"09:15:00\":\n", + " print(\"执行定时任务\")\n", + " start()\n", + "\n", + " # 休眠1秒钟，避免过多占用CPU资源\n", + " time.sleep(1)\n", + " \n", + " elif current_time_1 == \"20:00:00\":\n", + " print(\"更新数据\")\n", + " start_1()\n", + " time.sleep(1)\n", "\n", "\n", "# # 检测数据准确性, 需要检测放开\n", @@ -835,84 +828,36 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "20250201\n", - "{'dataDate': '20250201', 'dataItemNo': 'C01100047|TURNOVER'}\n" + "20250408\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n", + "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_31052\\2446979738.py:725: 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_31052\\2446979738.py:279: 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", "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.321e+05, tolerance: 4.074e+04\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": [ + "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.083e+05, tolerance: 4.378e+04\n", + "\n", "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\IPython\\core\\magics\\pylab.py:162: UserWarning:\n", "\n", - "pylab import has clobbered these variables: ['datetime', '__version__', 'plot', 'random']\n", + "pylab import has clobbered these variables: ['plot', 'datetime', '__version__', 'random']\n", "`%matplotlib` prevents importing * from pylab and numpy\n", - "\n", - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-01 7738.433105\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250201', 'dataStatus': 'add', 'dataValue': 7738.43}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250202\n", - "{'dataDate': '20250202', 'dataItemNo': 'C01100047|TURNOVER'}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.506e+05, tolerance: 4.089e+04\n", "\n" ] }, @@ -930,11 +875,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n", + "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_31052\\2446979738.py:232: 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_21000\\3095856616.py:263: FutureWarning:\n", + "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_31052\\2446979738.py:262: 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" @@ -945,832 +890,25 @@ "output_type": "stream", "text": [ "Date\n", - "2025-02-02 7700.021484\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250202', 'dataStatus': 'add', 'dataValue': 7700.02}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250203\n", - "{'dataDate': '20250203', 'dataItemNo': 'C01100047|TURNOVER'}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.696e+05, tolerance: 4.096e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-03 7693.463379\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250203', 'dataStatus': 'add', 'dataValue': 7693.46}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250204\n", - "{'dataDate': '20250204', 'dataItemNo': 'C01100047|TURNOVER'}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.780e+05, tolerance: 4.200e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-04 7798.116211\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250204', 'dataStatus': 'add', 'dataValue': 7798.12}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250205\n", - "{'dataDate': '20250205', 'dataItemNo': 'C01100047|TURNOVER'}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.551e+05, tolerance: 4.144e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-05 7865.974609\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250205', 'dataStatus': 'add', 'dataValue': 7865.97}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250206\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.553e+05, tolerance: 4.144e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-06 7896.265137\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250206', 'dataStatus': 'add', 'dataValue': 7896.27}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250207\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.955e+05, tolerance: 4.168e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-07 7841.537109\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250207', 'dataStatus': 'add', 'dataValue': 7841.54}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250208\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.733e+05, tolerance: 4.197e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-08 7814.474609\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250208', 'dataStatus': 'add', 'dataValue': 7814.47}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250209\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.675e+05, tolerance: 4.062e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-09 7832.284668\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250209', 'dataStatus': 'add', 'dataValue': 7832.28}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250210\n", - "{'dataDate': '20250210', 'dataItemNo': 'C01100047|TURNOVER'}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.531e+05, tolerance: 4.103e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-10 7917.837891\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250210', 'dataStatus': 'add', 'dataValue': 7917.84}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250211\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.307e+05, tolerance: 4.073e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-11 7919.563965\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250211', 'dataStatus': 'add', 'dataValue': 7919.56}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250212\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.644e+05, tolerance: 4.133e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-12 7902.145508\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250212', 'dataStatus': 'add', 'dataValue': 7902.15}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250213\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.711e+05, tolerance: 4.105e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-13 8001.087891\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250213', 'dataStatus': 'add', 'dataValue': 8001.09}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250214\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.949e+05, tolerance: 4.129e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-14 8032.705566\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250214', 'dataStatus': 'add', 'dataValue': 8032.71}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250215\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.966e+05, tolerance: 4.129e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-15 8040.26709\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250215', 'dataStatus': 'add', 'dataValue': 8040.27}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250216\n", - "{'dataDate': '20250216', 'dataItemNo': 'C01100047|TURNOVER'}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.442e+05, tolerance: 4.138e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-16 8044.537109\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250216', 'dataStatus': 'add', 'dataValue': 8044.54}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250217\n", - "{'dataDate': '20250217', 'dataItemNo': 'C01100047|TURNOVER'}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.555e+05, tolerance: 4.072e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-17 7998.32373\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250217', 'dataStatus': 'add', 'dataValue': 7998.32}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n", - "20250218\n", - "{'dataDate': '20250218', 'dataItemNo': 'C01100047|TURNOVER'}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: 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", - "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n", - "\n", - "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.680e+05, tolerance: 4.121e+04\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" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: 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_21000\\3095856616.py:263: 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": [ - "Date\n", - "2025-02-18 7988.078125\n", - "Name: 日度预测价格, dtype: float32\n", - "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250218', 'dataStatus': 'add', 'dataValue': 7988.08}]}\n", - "{\"confirmFlg\":false,\"status\":true}\n" + "2025-04-08 6302.519043\n", + "Name: 日度预测价格, dtype: float32\n" ] } ], "source": [ - "from datetime import datetime, timedelta\n", + "# # 自定义日期执行预测\n", "\n", - "start_date = datetime(2025, 2, 1)\n", - "end_date = datetime(2025, 2, 19)\n", + "# start_date = datetime(2025, 4, 8)\n", + "# end_date = datetime(2025, 4, 9)\n", "\n", - "while start_date < end_date:\n", - " print(start_date.strftime('%Y%m%d'))\n", - " start(start_date)\n", - " # time.sleep(2)\n", - " # start_1(start_date)\n", - " start_date += timedelta(days=1)" + "# token = get_head_auth()\n", + "# token_push = get_head_push_auth()\n", + "# while start_date < end_date:\n", + "# print(start_date.strftime('%Y%m%d'))\n", + "# start(start_date,token,token_push)\n", + "# time.sleep(2)\n", + "# # start_1(start_date)\n", + "# start_date += timedelta(days=1)" ] }, { @@ -1783,7 +921,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "base", "language": "python", "name": "python3" }, @@ -1797,7 +935,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.4" + "version": "3.11.7" } }, "nbformat": 4, diff --git a/aisenzhecode/石油苯/纯苯数据项.xls b/aisenzhecode/石油苯/纯苯数据项.xls index 5594fe5..e567883 100644 Binary files a/aisenzhecode/石油苯/纯苯数据项.xls and b/aisenzhecode/石油苯/纯苯数据项.xls differ