diff --git a/aisenzhecode/液化石油气/液化气价格预测ytj.ipynb b/aisenzhecode/液化石油气/液化气价格预测ytj.ipynb
index 1045e40..5209458 100644
--- a/aisenzhecode/液化石油气/液化气价格预测ytj.ipynb
+++ b/aisenzhecode/液化石油气/液化气价格预测ytj.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -717,7 +717,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 11,
    "metadata": {
     "scrolled": true
    },
@@ -763,7 +763,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -781,11 +781,73 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\4165952193.py:294: UserWarning:\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\4165952193.py:296: UserWarning:\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:296: 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\\IPython\\core\\magics\\pylab.py:162: UserWarning:\n",
+      "\n",
+      "pylab import has clobbered these variables: ['plot', '__version__', 'random', 'datetime']\n",
+      "`%matplotlib` prevents importing * from pylab and numpy\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_10264\\614562064.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_10264\\614562064.py:244: 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_10264\\614562064.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"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date\n",
+      "2025-03-01    5476.566406\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5476.57\n",
+      "20250302 <class 'str'>\n",
+      "2025-03-02 00:00:00 <class 'datetime.datetime'>\n",
+      "{'data': {'date': '20250302', 'dataItemNoList': ['251926669|STRIKE_PRICE', 'C01100008|CORTED_VALUE', 'C01100008|AUCTION_MAX_PRICE', 'C01100008|YEDAY_AMOUNT', 'ICE_CL0_LAST_YEDAY_PRICE\\n', '100028046|LISTING_PRICE', 'C01100008|PLAN_SALE', '91370200163576944B|C01100008|STRIKE_PRICE', '9137078672073757X8|C01100008|STRIKE_PRICE', '91370500674526498A|C01100008|STRIKE_PRICE', '91370305773165341A|C01100008|STRIKE_PRICE', '91370521164880008P|C01100008|STRIKE_PRICE', '91370321164425136B|C01100008|STRIKE_PRICE', 'SD|GC|ZDW|LIST_PRICE', '370500|ISOBUTANE|LIST_PRICE', 'SD|YT|SG|LIST_PRICE', '91110000710926094P|C01100008|SUPPLY_MERE', '91110000710932515R|C01100008|SUPPLY_MERE', '91370500674526498A|C01100008|SUPPLY_MERE', '91370321164425136B|C01100008|SUPPLY_MERE', 'C01100008|OTHER|SUPPLY_MERE', 'SD|WJH|DEMANDS', 'C01100008|SUY_DED_DAP', 'C01100008|EFFECTIVE_STOCK', '912102117169477344|C01100008|STRIKE_PRICE', '91110304102767480H|C01100008|STRIKE_PRICE', '91130193670310403L|C01100008|STRIKE_PRICE', 'HD|LPG|IMPORT_PRICE', 'SD|WJH|SALES_PRICE']}, 'funcModule': '数据项', 'funcOperation': '查询'}\n",
+      "[{'dataDate': '20250302', 'dataItemNo': '100028046|LISTING_PRICE', 'dataValue': 8441.0}, {'dataDate': '20250302', 'dataItemNo': '91110000710926094P|C01100008|SUPPLY_MERE', 'dataValue': 1300.0}, {'dataDate': '20250302', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}, {'dataDate': '20250302', 'dataItemNo': '91110304102767480H|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250302', 'dataItemNo': '91130193670310403L|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250302', 'dataItemNo': '912102117169477344|C01100008|STRIKE_PRICE', 'dataValue': 4700.0}, {'dataDate': '20250302', 'dataItemNo': '91370200163576944B|C01100008|STRIKE_PRICE', 'dataValue': 5300.0}, {'dataDate': '20250302', 'dataItemNo': '91370321164425136B|C01100008|STRIKE_PRICE', 'dataValue': 5500.0}, {'dataDate': '20250302', 'dataItemNo': '91370321164425136B|C01100008|SUPPLY_MERE', 'dataValue': 200.0}, {'dataDate': '20250302', 'dataItemNo': '91370500674526498A|C01100008|STRIKE_PRICE', 'dataValue': 5518.0}, {'dataDate': '20250302', 'dataItemNo': '91370500674526498A|C01100008|SUPPLY_MERE', 'dataValue': 175.0}, {'dataDate': '20250302', 'dataItemNo': '91370521164880008P|C01100008|STRIKE_PRICE', 'dataValue': 5485.0}, {'dataDate': '20250302', 'dataItemNo': 'C01100008|AUCTION_MAX_PRICE', 'dataValue': 5510.0}, {'dataDate': '20250302', 'dataItemNo': 'C01100008|CORTED_VALUE', 'dataValue': 5520.0}, {'dataDate': '20250302', 'dataItemNo': 'C01100008|EFFECTIVE_STOCK', 'dataValue': 445.7282}, {'dataDate': '20250302', 'dataItemNo': 'C01100008|OTHER|SUPPLY_MERE', 'dataValue': 5000.0}, {'dataDate': '20250302', 'dataItemNo': 'C01100008|PLAN_SALE', 'dataValue': 500.0}, {'dataDate': '20250302', 'dataItemNo': 'C01100008|SUY_DED_DAP', 'dataValue': -50.0}, {'dataDate': '20250302', 'dataItemNo': 'HD|LPG|IMPORT_PRICE', 'dataValue': 5400.0}, {'dataDate': '20250302', 'dataItemNo': 'SD|WJH|DEMANDS', 'dataValue': 8500.0}, {'dataDate': '20250302', 'dataItemNo': 'SD|WJH|SALES_PRICE', 'dataValue': 6500.0}]\n",
+      "{'dataDate': '20250302', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\614562064.py:296: 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"
@@ -805,10 +867,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\IPython\\core\\magics\\pylab.py:162: UserWarning:\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:242: UserWarning:\n",
       "\n",
-      "pylab import has clobbered these variables: ['plot', '__version__', 'random', 'datetime']\n",
-      "`%matplotlib` prevents importing * from pylab and numpy\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_10264\\614562064.py:244: 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_10264\\614562064.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"
      ]
     },
@@ -817,39 +886,466 @@
      "output_type": "stream",
      "text": [
       "Date\n",
-      "2025-03-01    5408.340332\n",
-      "Name: 日度预测价格, dtype: float32\n"
+      "2025-03-02    5478.945312\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5478.95\n",
+      "20250303 <class 'str'>\n",
+      "2025-03-03 00:00:00 <class 'datetime.datetime'>\n",
+      "{'data': {'date': '20250303', 'dataItemNoList': ['251926669|STRIKE_PRICE', 'C01100008|CORTED_VALUE', 'C01100008|AUCTION_MAX_PRICE', 'C01100008|YEDAY_AMOUNT', 'ICE_CL0_LAST_YEDAY_PRICE\\n', '100028046|LISTING_PRICE', 'C01100008|PLAN_SALE', '91370200163576944B|C01100008|STRIKE_PRICE', '9137078672073757X8|C01100008|STRIKE_PRICE', '91370500674526498A|C01100008|STRIKE_PRICE', '91370305773165341A|C01100008|STRIKE_PRICE', '91370521164880008P|C01100008|STRIKE_PRICE', '91370321164425136B|C01100008|STRIKE_PRICE', 'SD|GC|ZDW|LIST_PRICE', '370500|ISOBUTANE|LIST_PRICE', 'SD|YT|SG|LIST_PRICE', '91110000710926094P|C01100008|SUPPLY_MERE', '91110000710932515R|C01100008|SUPPLY_MERE', '91370500674526498A|C01100008|SUPPLY_MERE', '91370321164425136B|C01100008|SUPPLY_MERE', 'C01100008|OTHER|SUPPLY_MERE', 'SD|WJH|DEMANDS', 'C01100008|SUY_DED_DAP', 'C01100008|EFFECTIVE_STOCK', '912102117169477344|C01100008|STRIKE_PRICE', '91110304102767480H|C01100008|STRIKE_PRICE', '91130193670310403L|C01100008|STRIKE_PRICE', 'HD|LPG|IMPORT_PRICE', 'SD|WJH|SALES_PRICE']}, 'funcModule': '数据项', 'funcOperation': '查询'}\n",
+      "[{'dataDate': '20250303', 'dataItemNo': '100028046|LISTING_PRICE', 'dataValue': 8381.0}, {'dataDate': '20250303', 'dataItemNo': '370500|ISOBUTANE|LIST_PRICE', 'dataValue': 5440.0}, {'dataDate': '20250303', 'dataItemNo': '91110000710926094P|C01100008|SUPPLY_MERE', 'dataValue': 1300.0}, {'dataDate': '20250303', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}, {'dataDate': '20250303', 'dataItemNo': '91110304102767480H|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250303', 'dataItemNo': '91130193670310403L|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250303', 'dataItemNo': '912102117169477344|C01100008|STRIKE_PRICE', 'dataValue': 4700.0}, {'dataDate': '20250303', 'dataItemNo': '91370200163576944B|C01100008|STRIKE_PRICE', 'dataValue': 5300.0}, {'dataDate': '20250303', 'dataItemNo': '91370321164425136B|C01100008|STRIKE_PRICE', 'dataValue': 5500.0}, {'dataDate': '20250303', 'dataItemNo': '91370321164425136B|C01100008|SUPPLY_MERE', 'dataValue': 200.0}, {'dataDate': '20250303', 'dataItemNo': '91370500674526498A|C01100008|STRIKE_PRICE', 'dataValue': 5518.0}, {'dataDate': '20250303', 'dataItemNo': '91370500674526498A|C01100008|SUPPLY_MERE', 'dataValue': 175.0}, {'dataDate': '20250303', 'dataItemNo': '91370521164880008P|C01100008|STRIKE_PRICE', 'dataValue': 5485.0}, {'dataDate': '20250303', 'dataItemNo': 'C01100008|AUCTION_MAX_PRICE', 'dataValue': 5510.0}, {'dataDate': '20250303', 'dataItemNo': 'C01100008|CORTED_VALUE', 'dataValue': 5540.0}, {'dataDate': '20250303', 'dataItemNo': 'C01100008|EFFECTIVE_STOCK', 'dataValue': 429.3767}, {'dataDate': '20250303', 'dataItemNo': 'C01100008|OTHER|SUPPLY_MERE', 'dataValue': 5000.0}, {'dataDate': '20250303', 'dataItemNo': 'C01100008|PLAN_SALE', 'dataValue': 500.0}, {'dataDate': '20250303', 'dataItemNo': 'C01100008|SUY_DED_DAP', 'dataValue': -50.0}, {'dataDate': '20250303', 'dataItemNo': 'HD|LPG|IMPORT_PRICE', 'dataValue': 5450.0}, {'dataDate': '20250303', 'dataItemNo': 'SD|GC|ZDW|LIST_PRICE', 'dataValue': 5310.0}, {'dataDate': '20250303', 'dataItemNo': 'SD|WJH|DEMANDS', 'dataValue': 8500.0}, {'dataDate': '20250303', 'dataItemNo': 'SD|WJH|SALES_PRICE', 'dataValue': 8400.0}, {'dataDate': '20250303', 'dataItemNo': 'SD|YT|SG|LIST_PRICE', 'dataValue': 6200.0}]\n",
+      "{'dataDate': '20250303', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\4165952193.py:242: UserWarning:\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\4165952193.py:244: UserWarning:\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:296: 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"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.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_10264\\4165952193.py:276: FutureWarning:\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:244: 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_10264\\614562064.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"
      ]
     },
     {
-     "ename": "KeyError",
-     "evalue": "0",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[9], line 7\u001b[0m\n\u001b[0;32m      5\u001b[0m date \u001b[38;5;241m=\u001b[39m start_date\u001b[38;5;241m.\u001b[39mstrftime(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mY\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mm\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      6\u001b[0m \u001b[38;5;28mprint\u001b[39m(date,\u001b[38;5;28mtype\u001b[39m(date))\n\u001b[1;32m----> 7\u001b[0m start(date)\n\u001b[0;32m      8\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m      9\u001b[0m \u001b[38;5;66;03m# start_2(start_date)\u001b[39;00m\n",
-      "Cell \u001b[1;32mIn[7], line 519\u001b[0m, in \u001b[0;36mstart\u001b[1;34m(date)\u001b[0m\n\u001b[0;32m    517\u001b[0m save_xls(append_rows)\n\u001b[0;32m    518\u001b[0m optimize_Model()\n\u001b[1;32m--> 519\u001b[0m upload_data_to_system(token_push,cur_time)\n",
-      "Cell \u001b[1;32mIn[7], line 215\u001b[0m, in \u001b[0;36mupload_data_to_system\u001b[1;34m(token_push, date)\u001b[0m\n\u001b[0;32m    200\u001b[0m data \u001b[38;5;241m=\u001b[39m {\n\u001b[0;32m    201\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfuncModule\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m数据表信息列表\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m    202\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfuncOperation\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m新增\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    210\u001b[0m     ]\n\u001b[0;32m    211\u001b[0m }\n\u001b[0;32m    212\u001b[0m \u001b[38;5;66;03m# headers = {\"Authorization\": token_push}\u001b[39;00m\n\u001b[0;32m    213\u001b[0m \u001b[38;5;66;03m# res = requests.post(url=upload_url, headers=headers, json=data, timeout=(3, 5))\u001b[39;00m\n\u001b[0;32m    214\u001b[0m \u001b[38;5;66;03m# print(res.text)\u001b[39;00m\n\u001b[1;32m--> 215\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m预测值：\u001b[39m\u001b[38;5;124m'\u001b[39m,data[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdataValue\u001b[39m\u001b[38;5;124m'\u001b[39m])\n",
-      "\u001b[1;31mKeyError\u001b[0m: 0"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date\n",
+      "2025-03-03    5488.296875\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5488.3\n",
+      "20250304 <class 'str'>\n",
+      "2025-03-04 00:00:00 <class 'datetime.datetime'>\n",
+      "{'data': {'date': '20250304', 'dataItemNoList': ['251926669|STRIKE_PRICE', 'C01100008|CORTED_VALUE', 'C01100008|AUCTION_MAX_PRICE', 'C01100008|YEDAY_AMOUNT', 'ICE_CL0_LAST_YEDAY_PRICE\\n', '100028046|LISTING_PRICE', 'C01100008|PLAN_SALE', '91370200163576944B|C01100008|STRIKE_PRICE', '9137078672073757X8|C01100008|STRIKE_PRICE', '91370500674526498A|C01100008|STRIKE_PRICE', '91370305773165341A|C01100008|STRIKE_PRICE', '91370521164880008P|C01100008|STRIKE_PRICE', '91370321164425136B|C01100008|STRIKE_PRICE', 'SD|GC|ZDW|LIST_PRICE', '370500|ISOBUTANE|LIST_PRICE', 'SD|YT|SG|LIST_PRICE', '91110000710926094P|C01100008|SUPPLY_MERE', '91110000710932515R|C01100008|SUPPLY_MERE', '91370500674526498A|C01100008|SUPPLY_MERE', '91370321164425136B|C01100008|SUPPLY_MERE', 'C01100008|OTHER|SUPPLY_MERE', 'SD|WJH|DEMANDS', 'C01100008|SUY_DED_DAP', 'C01100008|EFFECTIVE_STOCK', '912102117169477344|C01100008|STRIKE_PRICE', '91110304102767480H|C01100008|STRIKE_PRICE', '91130193670310403L|C01100008|STRIKE_PRICE', 'HD|LPG|IMPORT_PRICE', 'SD|WJH|SALES_PRICE']}, 'funcModule': '数据项', 'funcOperation': '查询'}\n",
+      "[{'dataDate': '20250304', 'dataItemNo': '100028046|LISTING_PRICE', 'dataValue': 8345.0}, {'dataDate': '20250304', 'dataItemNo': '370500|ISOBUTANE|LIST_PRICE', 'dataValue': 5440.0}, {'dataDate': '20250304', 'dataItemNo': '91110000710926094P|C01100008|SUPPLY_MERE', 'dataValue': 1300.0}, {'dataDate': '20250304', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}, {'dataDate': '20250304', 'dataItemNo': '91110304102767480H|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250304', 'dataItemNo': '91130193670310403L|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250304', 'dataItemNo': '912102117169477344|C01100008|STRIKE_PRICE', 'dataValue': 4700.0}, {'dataDate': '20250304', 'dataItemNo': '91370200163576944B|C01100008|STRIKE_PRICE', 'dataValue': 5300.0}, {'dataDate': '20250304', 'dataItemNo': '91370321164425136B|C01100008|STRIKE_PRICE', 'dataValue': 5500.0}, {'dataDate': '20250304', 'dataItemNo': '91370321164425136B|C01100008|SUPPLY_MERE', 'dataValue': 200.0}, {'dataDate': '20250304', 'dataItemNo': '91370500674526498A|C01100008|STRIKE_PRICE', 'dataValue': 5518.0}, {'dataDate': '20250304', 'dataItemNo': '91370500674526498A|C01100008|SUPPLY_MERE', 'dataValue': 175.0}, {'dataDate': '20250304', 'dataItemNo': '91370521164880008P|C01100008|STRIKE_PRICE', 'dataValue': 5485.0}, {'dataDate': '20250304', 'dataItemNo': 'C01100008|AUCTION_MAX_PRICE', 'dataValue': 5540.0}, {'dataDate': '20250304', 'dataItemNo': 'C01100008|CORTED_VALUE', 'dataValue': 5540.0}, {'dataDate': '20250304', 'dataItemNo': 'C01100008|EFFECTIVE_STOCK', 'dataValue': 434.243}, {'dataDate': '20250304', 'dataItemNo': 'C01100008|OTHER|SUPPLY_MERE', 'dataValue': 5000.0}, {'dataDate': '20250304', 'dataItemNo': 'C01100008|PLAN_SALE', 'dataValue': 500.0}, {'dataDate': '20250304', 'dataItemNo': 'C01100008|SUY_DED_DAP', 'dataValue': -50.0}, {'dataDate': '20250304', 'dataItemNo': 'HD|LPG|IMPORT_PRICE', 'dataValue': 5450.0}, {'dataDate': '20250304', 'dataItemNo': 'SD|GC|ZDW|LIST_PRICE', 'dataValue': 5310.0}, {'dataDate': '20250304', 'dataItemNo': 'SD|WJH|DEMANDS', 'dataValue': 8500.0}, {'dataDate': '20250304', 'dataItemNo': 'SD|WJH|SALES_PRICE', 'dataValue': 8350.0}, {'dataDate': '20250304', 'dataItemNo': 'SD|YT|SG|LIST_PRICE', 'dataValue': 6175.0}]\n",
+      "{'dataDate': '20250304', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\614562064.py:296: 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"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.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_10264\\614562064.py:244: 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_10264\\614562064.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"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date\n",
+      "2025-03-04    5480.574707\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5480.57\n",
+      "20250305 <class 'str'>\n",
+      "2025-03-05 00:00:00 <class 'datetime.datetime'>\n",
+      "{'data': {'date': '20250305', 'dataItemNoList': ['251926669|STRIKE_PRICE', 'C01100008|CORTED_VALUE', 'C01100008|AUCTION_MAX_PRICE', 'C01100008|YEDAY_AMOUNT', 'ICE_CL0_LAST_YEDAY_PRICE\\n', '100028046|LISTING_PRICE', 'C01100008|PLAN_SALE', '91370200163576944B|C01100008|STRIKE_PRICE', '9137078672073757X8|C01100008|STRIKE_PRICE', '91370500674526498A|C01100008|STRIKE_PRICE', '91370305773165341A|C01100008|STRIKE_PRICE', '91370521164880008P|C01100008|STRIKE_PRICE', '91370321164425136B|C01100008|STRIKE_PRICE', 'SD|GC|ZDW|LIST_PRICE', '370500|ISOBUTANE|LIST_PRICE', 'SD|YT|SG|LIST_PRICE', '91110000710926094P|C01100008|SUPPLY_MERE', '91110000710932515R|C01100008|SUPPLY_MERE', '91370500674526498A|C01100008|SUPPLY_MERE', '91370321164425136B|C01100008|SUPPLY_MERE', 'C01100008|OTHER|SUPPLY_MERE', 'SD|WJH|DEMANDS', 'C01100008|SUY_DED_DAP', 'C01100008|EFFECTIVE_STOCK', '912102117169477344|C01100008|STRIKE_PRICE', '91110304102767480H|C01100008|STRIKE_PRICE', '91130193670310403L|C01100008|STRIKE_PRICE', 'HD|LPG|IMPORT_PRICE', 'SD|WJH|SALES_PRICE']}, 'funcModule': '数据项', 'funcOperation': '查询'}\n",
+      "[{'dataDate': '20250305', 'dataItemNo': '100028046|LISTING_PRICE', 'dataValue': 8262.0}, {'dataDate': '20250305', 'dataItemNo': '370500|ISOBUTANE|LIST_PRICE', 'dataValue': 5440.0}, {'dataDate': '20250305', 'dataItemNo': '91110000710926094P|C01100008|SUPPLY_MERE', 'dataValue': 1300.0}, {'dataDate': '20250305', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}, {'dataDate': '20250305', 'dataItemNo': '91110304102767480H|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250305', 'dataItemNo': '91130193670310403L|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250305', 'dataItemNo': '912102117169477344|C01100008|STRIKE_PRICE', 'dataValue': 4700.0}, {'dataDate': '20250305', 'dataItemNo': '91370200163576944B|C01100008|STRIKE_PRICE', 'dataValue': 5300.0}, {'dataDate': '20250305', 'dataItemNo': '91370321164425136B|C01100008|STRIKE_PRICE', 'dataValue': 5530.0}, {'dataDate': '20250305', 'dataItemNo': '91370321164425136B|C01100008|SUPPLY_MERE', 'dataValue': 200.0}, {'dataDate': '20250305', 'dataItemNo': '91370500674526498A|C01100008|STRIKE_PRICE', 'dataValue': 5558.0}, {'dataDate': '20250305', 'dataItemNo': '91370500674526498A|C01100008|SUPPLY_MERE', 'dataValue': 175.0}, {'dataDate': '20250305', 'dataItemNo': '91370521164880008P|C01100008|STRIKE_PRICE', 'dataValue': 5535.0}, {'dataDate': '20250305', 'dataItemNo': 'C01100008|AUCTION_MAX_PRICE', 'dataValue': 5540.0}, {'dataDate': '20250305', 'dataItemNo': 'C01100008|CORTED_VALUE', 'dataValue': 5540.0}, {'dataDate': '20250305', 'dataItemNo': 'C01100008|EFFECTIVE_STOCK', 'dataValue': 418.0574}, {'dataDate': '20250305', 'dataItemNo': 'C01100008|OTHER|SUPPLY_MERE', 'dataValue': 5000.0}, {'dataDate': '20250305', 'dataItemNo': 'C01100008|PLAN_SALE', 'dataValue': 1500.0}, {'dataDate': '20250305', 'dataItemNo': 'C01100008|SUY_DED_DAP', 'dataValue': -50.0}, {'dataDate': '20250305', 'dataItemNo': 'HD|LPG|IMPORT_PRICE', 'dataValue': 5450.0}, {'dataDate': '20250305', 'dataItemNo': 'SD|GC|ZDW|LIST_PRICE', 'dataValue': 5280.0}, {'dataDate': '20250305', 'dataItemNo': 'SD|WJH|DEMANDS', 'dataValue': 8500.0}, {'dataDate': '20250305', 'dataItemNo': 'SD|WJH|SALES_PRICE', 'dataValue': 8350.0}, {'dataDate': '20250305', 'dataItemNo': 'SD|YT|SG|LIST_PRICE', 'dataValue': 6100.0}]\n",
+      "{'dataDate': '20250305', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\614562064.py:296: 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"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.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_10264\\614562064.py:244: 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_10264\\614562064.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"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date\n",
+      "2025-03-05    5483.269531\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5483.27\n",
+      "20250306 <class 'str'>\n",
+      "2025-03-06 00:00:00 <class 'datetime.datetime'>\n",
+      "{'data': {'date': '20250306', 'dataItemNoList': ['251926669|STRIKE_PRICE', 'C01100008|CORTED_VALUE', 'C01100008|AUCTION_MAX_PRICE', 'C01100008|YEDAY_AMOUNT', 'ICE_CL0_LAST_YEDAY_PRICE\\n', '100028046|LISTING_PRICE', 'C01100008|PLAN_SALE', '91370200163576944B|C01100008|STRIKE_PRICE', '9137078672073757X8|C01100008|STRIKE_PRICE', '91370500674526498A|C01100008|STRIKE_PRICE', '91370305773165341A|C01100008|STRIKE_PRICE', '91370521164880008P|C01100008|STRIKE_PRICE', '91370321164425136B|C01100008|STRIKE_PRICE', 'SD|GC|ZDW|LIST_PRICE', '370500|ISOBUTANE|LIST_PRICE', 'SD|YT|SG|LIST_PRICE', '91110000710926094P|C01100008|SUPPLY_MERE', '91110000710932515R|C01100008|SUPPLY_MERE', '91370500674526498A|C01100008|SUPPLY_MERE', '91370321164425136B|C01100008|SUPPLY_MERE', 'C01100008|OTHER|SUPPLY_MERE', 'SD|WJH|DEMANDS', 'C01100008|SUY_DED_DAP', 'C01100008|EFFECTIVE_STOCK', '912102117169477344|C01100008|STRIKE_PRICE', '91110304102767480H|C01100008|STRIKE_PRICE', '91130193670310403L|C01100008|STRIKE_PRICE', 'HD|LPG|IMPORT_PRICE', 'SD|WJH|SALES_PRICE']}, 'funcModule': '数据项', 'funcOperation': '查询'}\n",
+      "[{'dataDate': '20250306', 'dataItemNo': '100028046|LISTING_PRICE', 'dataValue': 8208.0}, {'dataDate': '20250306', 'dataItemNo': '370500|ISOBUTANE|LIST_PRICE', 'dataValue': 5440.0}, {'dataDate': '20250306', 'dataItemNo': '91110000710926094P|C01100008|SUPPLY_MERE', 'dataValue': 1300.0}, {'dataDate': '20250306', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}, {'dataDate': '20250306', 'dataItemNo': '91110304102767480H|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250306', 'dataItemNo': '91130193670310403L|C01100008|STRIKE_PRICE', 'dataValue': 5150.0}, {'dataDate': '20250306', 'dataItemNo': '912102117169477344|C01100008|STRIKE_PRICE', 'dataValue': 4700.0}, {'dataDate': '20250306', 'dataItemNo': '91370200163576944B|C01100008|STRIKE_PRICE', 'dataValue': 5300.0}, {'dataDate': '20250306', 'dataItemNo': '91370321164425136B|C01100008|STRIKE_PRICE', 'dataValue': 5580.0}, {'dataDate': '20250306', 'dataItemNo': '91370321164425136B|C01100008|SUPPLY_MERE', 'dataValue': 200.0}, {'dataDate': '20250306', 'dataItemNo': '91370500674526498A|C01100008|STRIKE_PRICE', 'dataValue': 5588.0}, {'dataDate': '20250306', 'dataItemNo': '91370500674526498A|C01100008|SUPPLY_MERE', 'dataValue': 175.0}, {'dataDate': '20250306', 'dataItemNo': '91370521164880008P|C01100008|STRIKE_PRICE', 'dataValue': 5585.0}, {'dataDate': '20250306', 'dataItemNo': 'C01100008|AUCTION_MAX_PRICE', 'dataValue': 5580.0}, {'dataDate': '20250306', 'dataItemNo': 'C01100008|CORTED_VALUE', 'dataValue': 5580.0}, {'dataDate': '20250306', 'dataItemNo': 'C01100008|EFFECTIVE_STOCK', 'dataValue': 420.1378}, {'dataDate': '20250306', 'dataItemNo': 'C01100008|OTHER|SUPPLY_MERE', 'dataValue': 5000.0}, {'dataDate': '20250306', 'dataItemNo': 'C01100008|PLAN_SALE', 'dataValue': 200.0}, {'dataDate': '20250306', 'dataItemNo': 'C01100008|SUY_DED_DAP', 'dataValue': -50.0}, {'dataDate': '20250306', 'dataItemNo': 'HD|LPG|IMPORT_PRICE', 'dataValue': 5450.0}, {'dataDate': '20250306', 'dataItemNo': 'SD|GC|ZDW|LIST_PRICE', 'dataValue': 5220.0}, {'dataDate': '20250306', 'dataItemNo': 'SD|WJH|DEMANDS', 'dataValue': 8500.0}, {'dataDate': '20250306', 'dataItemNo': 'SD|WJH|SALES_PRICE', 'dataValue': 8250.0}, {'dataDate': '20250306', 'dataItemNo': 'SD|YT|SG|LIST_PRICE', 'dataValue': 6100.0}]\n",
+      "{'dataDate': '20250306', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\614562064.py:296: 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"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.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_10264\\614562064.py:244: 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_10264\\614562064.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"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date\n",
+      "2025-03-06    5485.089355\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5485.09\n",
+      "20250307 <class 'str'>\n",
+      "2025-03-07 00:00:00 <class 'datetime.datetime'>\n",
+      "{'data': {'date': '20250307', 'dataItemNoList': ['251926669|STRIKE_PRICE', 'C01100008|CORTED_VALUE', 'C01100008|AUCTION_MAX_PRICE', 'C01100008|YEDAY_AMOUNT', 'ICE_CL0_LAST_YEDAY_PRICE\\n', '100028046|LISTING_PRICE', 'C01100008|PLAN_SALE', '91370200163576944B|C01100008|STRIKE_PRICE', '9137078672073757X8|C01100008|STRIKE_PRICE', '91370500674526498A|C01100008|STRIKE_PRICE', '91370305773165341A|C01100008|STRIKE_PRICE', '91370521164880008P|C01100008|STRIKE_PRICE', '91370321164425136B|C01100008|STRIKE_PRICE', 'SD|GC|ZDW|LIST_PRICE', '370500|ISOBUTANE|LIST_PRICE', 'SD|YT|SG|LIST_PRICE', '91110000710926094P|C01100008|SUPPLY_MERE', '91110000710932515R|C01100008|SUPPLY_MERE', '91370500674526498A|C01100008|SUPPLY_MERE', '91370321164425136B|C01100008|SUPPLY_MERE', 'C01100008|OTHER|SUPPLY_MERE', 'SD|WJH|DEMANDS', 'C01100008|SUY_DED_DAP', 'C01100008|EFFECTIVE_STOCK', '912102117169477344|C01100008|STRIKE_PRICE', '91110304102767480H|C01100008|STRIKE_PRICE', '91130193670310403L|C01100008|STRIKE_PRICE', 'HD|LPG|IMPORT_PRICE', 'SD|WJH|SALES_PRICE']}, 'funcModule': '数据项', 'funcOperation': '查询'}\n",
+      "[{'dataDate': '20250307', 'dataItemNo': '100028046|LISTING_PRICE', 'dataValue': 8165.0}, {'dataDate': '20250307', 'dataItemNo': '370500|ISOBUTANE|LIST_PRICE', 'dataValue': 5440.0}, {'dataDate': '20250307', 'dataItemNo': '91110000710926094P|C01100008|SUPPLY_MERE', 'dataValue': 1300.0}, {'dataDate': '20250307', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}, {'dataDate': '20250307', 'dataItemNo': '91110304102767480H|C01100008|STRIKE_PRICE', 'dataValue': 5200.0}, {'dataDate': '20250307', 'dataItemNo': '91130193670310403L|C01100008|STRIKE_PRICE', 'dataValue': 5200.0}, {'dataDate': '20250307', 'dataItemNo': '912102117169477344|C01100008|STRIKE_PRICE', 'dataValue': 4700.0}, {'dataDate': '20250307', 'dataItemNo': '91370200163576944B|C01100008|STRIKE_PRICE', 'dataValue': 5300.0}, {'dataDate': '20250307', 'dataItemNo': '91370321164425136B|C01100008|STRIKE_PRICE', 'dataValue': 5580.0}, {'dataDate': '20250307', 'dataItemNo': '91370321164425136B|C01100008|SUPPLY_MERE', 'dataValue': 200.0}, {'dataDate': '20250307', 'dataItemNo': '91370500674526498A|C01100008|STRIKE_PRICE', 'dataValue': 5608.0}, {'dataDate': '20250307', 'dataItemNo': '91370500674526498A|C01100008|SUPPLY_MERE', 'dataValue': 175.0}, {'dataDate': '20250307', 'dataItemNo': '91370521164880008P|C01100008|STRIKE_PRICE', 'dataValue': 5605.0}, {'dataDate': '20250307', 'dataItemNo': 'C01100008|AUCTION_MAX_PRICE', 'dataValue': 5600.0}, {'dataDate': '20250307', 'dataItemNo': 'C01100008|CORTED_VALUE', 'dataValue': 5600.0}, {'dataDate': '20250307', 'dataItemNo': 'C01100008|EFFECTIVE_STOCK', 'dataValue': 413.8139}, {'dataDate': '20250307', 'dataItemNo': 'C01100008|OTHER|SUPPLY_MERE', 'dataValue': 5000.0}, {'dataDate': '20250307', 'dataItemNo': 'C01100008|PLAN_SALE', 'dataValue': 400.0}, {'dataDate': '20250307', 'dataItemNo': 'C01100008|SUY_DED_DAP', 'dataValue': -50.0}, {'dataDate': '20250307', 'dataItemNo': 'HD|LPG|IMPORT_PRICE', 'dataValue': 5450.0}, {'dataDate': '20250307', 'dataItemNo': 'SD|GC|ZDW|LIST_PRICE', 'dataValue': 5140.0}, {'dataDate': '20250307', 'dataItemNo': 'SD|WJH|DEMANDS', 'dataValue': 8500.0}, {'dataDate': '20250307', 'dataItemNo': 'SD|WJH|SALES_PRICE', 'dataValue': 8250.0}, {'dataDate': '20250307', 'dataItemNo': 'SD|YT|SG|LIST_PRICE', 'dataValue': 6200.0}]\n",
+      "{'dataDate': '20250307', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\614562064.py:296: 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"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.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_10264\\614562064.py:244: 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_10264\\614562064.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"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date\n",
+      "2025-03-07    5487.358887\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5487.36\n",
+      "20250308 <class 'str'>\n",
+      "2025-03-08 00:00:00 <class 'datetime.datetime'>\n",
+      "{'data': {'date': '20250308', 'dataItemNoList': ['251926669|STRIKE_PRICE', 'C01100008|CORTED_VALUE', 'C01100008|AUCTION_MAX_PRICE', 'C01100008|YEDAY_AMOUNT', 'ICE_CL0_LAST_YEDAY_PRICE\\n', '100028046|LISTING_PRICE', 'C01100008|PLAN_SALE', '91370200163576944B|C01100008|STRIKE_PRICE', '9137078672073757X8|C01100008|STRIKE_PRICE', '91370500674526498A|C01100008|STRIKE_PRICE', '91370305773165341A|C01100008|STRIKE_PRICE', '91370521164880008P|C01100008|STRIKE_PRICE', '91370321164425136B|C01100008|STRIKE_PRICE', 'SD|GC|ZDW|LIST_PRICE', '370500|ISOBUTANE|LIST_PRICE', 'SD|YT|SG|LIST_PRICE', '91110000710926094P|C01100008|SUPPLY_MERE', '91110000710932515R|C01100008|SUPPLY_MERE', '91370500674526498A|C01100008|SUPPLY_MERE', '91370321164425136B|C01100008|SUPPLY_MERE', 'C01100008|OTHER|SUPPLY_MERE', 'SD|WJH|DEMANDS', 'C01100008|SUY_DED_DAP', 'C01100008|EFFECTIVE_STOCK', '912102117169477344|C01100008|STRIKE_PRICE', '91110304102767480H|C01100008|STRIKE_PRICE', '91130193670310403L|C01100008|STRIKE_PRICE', 'HD|LPG|IMPORT_PRICE', 'SD|WJH|SALES_PRICE']}, 'funcModule': '数据项', 'funcOperation': '查询'}\n",
+      "[{'dataDate': '20250308', 'dataItemNo': '100028046|LISTING_PRICE', 'dataValue': 8183.0}, {'dataDate': '20250308', 'dataItemNo': '91110000710926094P|C01100008|SUPPLY_MERE', 'dataValue': 1300.0}, {'dataDate': '20250308', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}, {'dataDate': '20250308', 'dataItemNo': '91110304102767480H|C01100008|STRIKE_PRICE', 'dataValue': 5200.0}, {'dataDate': '20250308', 'dataItemNo': '91130193670310403L|C01100008|STRIKE_PRICE', 'dataValue': 5200.0}, {'dataDate': '20250308', 'dataItemNo': '912102117169477344|C01100008|STRIKE_PRICE', 'dataValue': 4750.0}, {'dataDate': '20250308', 'dataItemNo': '91370200163576944B|C01100008|STRIKE_PRICE', 'dataValue': 5300.0}, {'dataDate': '20250308', 'dataItemNo': '91370321164425136B|C01100008|STRIKE_PRICE', 'dataValue': 5580.0}, {'dataDate': '20250308', 'dataItemNo': '91370321164425136B|C01100008|SUPPLY_MERE', 'dataValue': 200.0}, {'dataDate': '20250308', 'dataItemNo': '91370500674526498A|C01100008|STRIKE_PRICE', 'dataValue': 5608.0}, {'dataDate': '20250308', 'dataItemNo': '91370500674526498A|C01100008|SUPPLY_MERE', 'dataValue': 175.0}, {'dataDate': '20250308', 'dataItemNo': '91370521164880008P|C01100008|STRIKE_PRICE', 'dataValue': 5605.0}, {'dataDate': '20250308', 'dataItemNo': 'C01100008|AUCTION_MAX_PRICE', 'dataValue': 5600.0}, {'dataDate': '20250308', 'dataItemNo': 'C01100008|CORTED_VALUE', 'dataValue': 5600.0}, {'dataDate': '20250308', 'dataItemNo': 'C01100008|EFFECTIVE_STOCK', 'dataValue': 444.6938}, {'dataDate': '20250308', 'dataItemNo': 'C01100008|OTHER|SUPPLY_MERE', 'dataValue': 5000.0}, {'dataDate': '20250308', 'dataItemNo': 'C01100008|PLAN_SALE', 'dataValue': 150.0}, {'dataDate': '20250308', 'dataItemNo': 'C01100008|SUY_DED_DAP', 'dataValue': -50.0}, {'dataDate': '20250308', 'dataItemNo': 'HD|LPG|IMPORT_PRICE', 'dataValue': 5450.0}, {'dataDate': '20250308', 'dataItemNo': 'SD|WJH|DEMANDS', 'dataValue': 8500.0}, {'dataDate': '20250308', 'dataItemNo': 'SD|WJH|SALES_PRICE', 'dataValue': 6350.0}]\n",
+      "{'dataDate': '20250308', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\614562064.py:296: 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"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.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_10264\\614562064.py:244: 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_10264\\614562064.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"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date\n",
+      "2025-03-08    5521.991699\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5521.99\n",
+      "20250309 <class 'str'>\n",
+      "2025-03-09 00:00:00 <class 'datetime.datetime'>\n",
+      "{'data': {'date': '20250309', 'dataItemNoList': ['251926669|STRIKE_PRICE', 'C01100008|CORTED_VALUE', 'C01100008|AUCTION_MAX_PRICE', 'C01100008|YEDAY_AMOUNT', 'ICE_CL0_LAST_YEDAY_PRICE\\n', '100028046|LISTING_PRICE', 'C01100008|PLAN_SALE', '91370200163576944B|C01100008|STRIKE_PRICE', '9137078672073757X8|C01100008|STRIKE_PRICE', '91370500674526498A|C01100008|STRIKE_PRICE', '91370305773165341A|C01100008|STRIKE_PRICE', '91370521164880008P|C01100008|STRIKE_PRICE', '91370321164425136B|C01100008|STRIKE_PRICE', 'SD|GC|ZDW|LIST_PRICE', '370500|ISOBUTANE|LIST_PRICE', 'SD|YT|SG|LIST_PRICE', '91110000710926094P|C01100008|SUPPLY_MERE', '91110000710932515R|C01100008|SUPPLY_MERE', '91370500674526498A|C01100008|SUPPLY_MERE', '91370321164425136B|C01100008|SUPPLY_MERE', 'C01100008|OTHER|SUPPLY_MERE', 'SD|WJH|DEMANDS', 'C01100008|SUY_DED_DAP', 'C01100008|EFFECTIVE_STOCK', '912102117169477344|C01100008|STRIKE_PRICE', '91110304102767480H|C01100008|STRIKE_PRICE', '91130193670310403L|C01100008|STRIKE_PRICE', 'HD|LPG|IMPORT_PRICE', 'SD|WJH|SALES_PRICE']}, 'funcModule': '数据项', 'funcOperation': '查询'}\n",
+      "[{'dataDate': '20250309', 'dataItemNo': '100028046|LISTING_PRICE', 'dataValue': 8183.0}, {'dataDate': '20250309', 'dataItemNo': '91110000710926094P|C01100008|SUPPLY_MERE', 'dataValue': 1300.0}, {'dataDate': '20250309', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}, {'dataDate': '20250309', 'dataItemNo': '91110304102767480H|C01100008|STRIKE_PRICE', 'dataValue': 5200.0}, {'dataDate': '20250309', 'dataItemNo': '91130193670310403L|C01100008|STRIKE_PRICE', 'dataValue': 5200.0}, {'dataDate': '20250309', 'dataItemNo': '912102117169477344|C01100008|STRIKE_PRICE', 'dataValue': 4750.0}, {'dataDate': '20250309', 'dataItemNo': '91370200163576944B|C01100008|STRIKE_PRICE', 'dataValue': 5300.0}, {'dataDate': '20250309', 'dataItemNo': '91370321164425136B|C01100008|STRIKE_PRICE', 'dataValue': 5600.0}, {'dataDate': '20250309', 'dataItemNo': '91370321164425136B|C01100008|SUPPLY_MERE', 'dataValue': 200.0}, {'dataDate': '20250309', 'dataItemNo': '91370500674526498A|C01100008|STRIKE_PRICE', 'dataValue': 5608.0}, {'dataDate': '20250309', 'dataItemNo': '91370500674526498A|C01100008|SUPPLY_MERE', 'dataValue': 175.0}, {'dataDate': '20250309', 'dataItemNo': '91370521164880008P|C01100008|STRIKE_PRICE', 'dataValue': 5605.0}, {'dataDate': '20250309', 'dataItemNo': 'C01100008|AUCTION_MAX_PRICE', 'dataValue': 5600.0}, {'dataDate': '20250309', 'dataItemNo': 'C01100008|CORTED_VALUE', 'dataValue': 5600.0}, {'dataDate': '20250309', 'dataItemNo': 'C01100008|EFFECTIVE_STOCK', 'dataValue': 367.1581}, {'dataDate': '20250309', 'dataItemNo': 'C01100008|OTHER|SUPPLY_MERE', 'dataValue': 5000.0}, {'dataDate': '20250309', 'dataItemNo': 'C01100008|PLAN_SALE', 'dataValue': 150.0}, {'dataDate': '20250309', 'dataItemNo': 'C01100008|SUY_DED_DAP', 'dataValue': -50.0}, {'dataDate': '20250309', 'dataItemNo': 'HD|LPG|IMPORT_PRICE', 'dataValue': 5450.0}, {'dataDate': '20250309', 'dataItemNo': 'SD|WJH|DEMANDS', 'dataValue': 8500.0}, {'dataDate': '20250309', 'dataItemNo': 'SD|WJH|SALES_PRICE', 'dataValue': 6350.0}]\n",
+      "{'dataDate': '20250309', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\614562064.py:296: 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"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.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_10264\\614562064.py:244: 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_10264\\614562064.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"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date\n",
+      "2025-03-09    5482.379395\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5482.38\n",
+      "20250310 <class 'str'>\n",
+      "2025-03-10 00:00:00 <class 'datetime.datetime'>\n",
+      "{'data': {'date': '20250310', 'dataItemNoList': ['251926669|STRIKE_PRICE', 'C01100008|CORTED_VALUE', 'C01100008|AUCTION_MAX_PRICE', 'C01100008|YEDAY_AMOUNT', 'ICE_CL0_LAST_YEDAY_PRICE\\n', '100028046|LISTING_PRICE', 'C01100008|PLAN_SALE', '91370200163576944B|C01100008|STRIKE_PRICE', '9137078672073757X8|C01100008|STRIKE_PRICE', '91370500674526498A|C01100008|STRIKE_PRICE', '91370305773165341A|C01100008|STRIKE_PRICE', '91370521164880008P|C01100008|STRIKE_PRICE', '91370321164425136B|C01100008|STRIKE_PRICE', 'SD|GC|ZDW|LIST_PRICE', '370500|ISOBUTANE|LIST_PRICE', 'SD|YT|SG|LIST_PRICE', '91110000710926094P|C01100008|SUPPLY_MERE', '91110000710932515R|C01100008|SUPPLY_MERE', '91370500674526498A|C01100008|SUPPLY_MERE', '91370321164425136B|C01100008|SUPPLY_MERE', 'C01100008|OTHER|SUPPLY_MERE', 'SD|WJH|DEMANDS', 'C01100008|SUY_DED_DAP', 'C01100008|EFFECTIVE_STOCK', '912102117169477344|C01100008|STRIKE_PRICE', '91110304102767480H|C01100008|STRIKE_PRICE', '91130193670310403L|C01100008|STRIKE_PRICE', 'HD|LPG|IMPORT_PRICE', 'SD|WJH|SALES_PRICE']}, 'funcModule': '数据项', 'funcOperation': '查询'}\n",
+      "[{'dataDate': '20250310', 'dataItemNo': '100028046|LISTING_PRICE', 'dataValue': 8183.0}, {'dataDate': '20250310', 'dataItemNo': '91110000710926094P|C01100008|SUPPLY_MERE', 'dataValue': 1300.0}, {'dataDate': '20250310', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}, {'dataDate': '20250310', 'dataItemNo': '91370321164425136B|C01100008|STRIKE_PRICE', 'dataValue': 5600.0}, {'dataDate': '20250310', 'dataItemNo': '91370321164425136B|C01100008|SUPPLY_MERE', 'dataValue': 200.0}, {'dataDate': '20250310', 'dataItemNo': '91370500674526498A|C01100008|SUPPLY_MERE', 'dataValue': 175.0}, {'dataDate': '20250310', 'dataItemNo': '91370521164880008P|C01100008|STRIKE_PRICE', 'dataValue': 5605.0}, {'dataDate': '20250310', 'dataItemNo': 'C01100008|AUCTION_MAX_PRICE', 'dataValue': 5600.0}, {'dataDate': '20250310', 'dataItemNo': 'C01100008|CORTED_VALUE', 'dataValue': 5600.0}, {'dataDate': '20250310', 'dataItemNo': 'C01100008|OTHER|SUPPLY_MERE', 'dataValue': 5000.0}, {'dataDate': '20250310', 'dataItemNo': 'C01100008|PLAN_SALE', 'dataValue': 150.0}, {'dataDate': '20250310', 'dataItemNo': 'C01100008|SUY_DED_DAP', 'dataValue': -50.0}, {'dataDate': '20250310', 'dataItemNo': 'SD|WJH|DEMANDS', 'dataValue': 8500.0}, {'dataDate': '20250310', 'dataItemNo': 'SD|WJH|SALES_PRICE', 'dataValue': 6350.0}]\n",
+      "{'dataDate': '20250310', 'dataItemNo': '91110000710932515R|C01100008|SUPPLY_MERE'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.py:294: 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_10264\\614562064.py:296: 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"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_10264\\614562064.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_10264\\614562064.py:244: 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_10264\\614562064.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"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date\n",
+      "2025-03-10    5485.84375\n",
+      "Name: 日度预测价格, dtype: float32\n",
+      "预测值： 5485.84\n",
+      "[5476.57, 5478.95, 5488.3, 5480.57, 5483.27, 5485.09, 5487.36, 5521.99, 5482.38, 5485.84]\n"
      ]
     }
    ],
diff --git a/lib/dataread.py b/lib/dataread.py
index de3268c..8eb3ef7 100644
--- a/lib/dataread.py
+++ b/lib/dataread.py
@@ -88,13 +88,17 @@ global_config = {
     'query_data_list_item_nos_url': None,  # 数据项查询地址
     'query_data_list_item_nos_data': None,  # 数据项查询参数
 
+    # 上传数据项数据
+    'push_data_value_list_url': None,
+    'push_data_value_list_data': None,
+
     # 字段映射
     'offsite_col': None,               # 站点字段
     'avg_col': None,                   # 平均值字段
     'offsite': None,                   # 站点名称
     'edbcodenamedict': None,           # EDB编码映射
     'rote': None,                       # 绘图上下界阈值
-    'bdwd_items':None,
+    'bdwd_items': None,
 
     # 接口配置（原有配置）
     'login_pushreport_url': None,
@@ -1064,6 +1068,7 @@ def getdata_juxiting(filename, datecol='date', y='y', dataset='', add_kdj=False,
 
     return df, df_zhibiaoliebiao
 
+
 def getdata_zhoudu_juxiting(filename, datecol='date', y='y', dataset='', add_kdj=False, is_timefurture=False, end_time=''):
     config.logger.info('getdata接收：'+filename+' '+datecol+' '+end_time)
     # 判断后缀名 csv或excel
@@ -1076,7 +1081,7 @@ def getdata_zhoudu_juxiting(filename, datecol='date', y='y', dataset='', add_kdj
 
     # 日期字符串转为datatime
     df = zhoududatachuli(df_zhibiaoshuju, df_zhibiaoliebiao, datecol, y=y, dataset=dataset,
-                            add_kdj=add_kdj, is_timefurture=is_timefurture, end_time=end_time)
+                         add_kdj=add_kdj, is_timefurture=is_timefurture, end_time=end_time)
 
     return df, df_zhibiaoliebiao
 
@@ -1163,11 +1168,14 @@ class Config:
     @property
     def query_data_list_item_nos_data(
         self): return global_config['query_data_list_item_nos_data']
-    
+
     @property
-    def push_data_value_list_url(self): return global_config['push_data_value_list_url']
+    def push_data_value_list_url(
+        self): return global_config['push_data_value_list_url']
+
     @property
-    def push_data_value_list_data(self): return global_config['push_data_value_list_data']
+    def push_data_value_list_data(
+        self): return global_config['push_data_value_list_data']
 
     # 字段映射
     @property
@@ -2036,6 +2044,7 @@ def get_market_data(end_time, df):
     df = pd.merge(df, df2, how='left', on='date')
     return df
 
+
 def push_market_data(data):
     '''
     上传预测价格到市场信息平台
@@ -2061,7 +2070,7 @@ def push_market_data(data):
     # 获取token
     token = get_head_auth_report()
     # 定义请求参数
-    config.push_data_value_list_data['data'] = data
+    global_config['push_data_value_list_data']['data'] = data
     # 发送请求
     headers = {"Authorization": token}
     config.logger.info('上传数据中...')
@@ -2071,6 +2080,7 @@ def push_market_data(data):
     config.logger.info(f"上传结果:{json_data}")
     return json_data
 
+
 def get_high_low_data(df):
     # 读取excel 从第五行开始
     df1 = pd.read_excel(os.path.join(config.dataset, '数据项下载.xls'), header=5, names=[
diff --git a/main_yuanyou.py b/main_yuanyou.py
index 89f22e8..a0e4aea 100644
--- a/main_yuanyou.py
+++ b/main_yuanyou.py
@@ -29,7 +29,7 @@ global_config.update({
     'test_size': test_size,
     'modelsindex': modelsindex,
     'rote': rote,
-    'bdwd_items':bdwd_items,
+    'bdwd_items': bdwd_items,
 
     # 特征工程开关
     'is_del_corr': is_del_corr,
@@ -56,6 +56,10 @@ global_config.update({
     'query_data_list_item_nos_url': query_data_list_item_nos_url,
     'query_data_list_item_nos_data': query_data_list_item_nos_data,
 
+    # 上传数据项
+    'push_data_value_list_url': push_data_value_list_url,
+    'push_data_value_list_data': push_data_value_list_data,
+
     # eta 配置
     'APPID': APPID,
     'SECRET': SECRET,
@@ -114,7 +118,7 @@ def predict_main():
     返回:
         None
     """
-    # end_time = global_config['end_time']    
+    # end_time = global_config['end_time']
     # # 获取数据
     # if is_eta:
     #     logger.info('从eta获取数据...')
@@ -337,8 +341,6 @@ def predict_main():
 
     # logger.info('模型训练完成')
 
-
-
     # logger.info('训练数据绘图ing')
     # model_results3 = model_losss(sqlitedb, end_time=end_time)
     # logger.info('训练数据绘图end')