沥青预测
This commit is contained in:
workpc
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aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月2日 备份.xls
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aisenzhecode/沥青/定性模型数据项12-11 - 2025年1月2日 备份.xls
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aisenzhecode/沥青/定性模型计算规则与权重.xls
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aisenzhecode/沥青/定性模型计算规则与权重.xls
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@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -188,7 +188,6 @@
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" h = df1.loc[1,'订单结构']\n",
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" x = round(0.08*a+0*b+0.15*c+0.08*d +0.03*e +0.08*f +0.4*g+0.18*h+df1.loc[0,'京博指导价'],2)\n",
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"\n",
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"\n",
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" login_res1 = requests.post(url=login_push_url, json=login_push_data, timeout=(3, 5))\n",
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" text1 = json.loads(login_res1.text)\n",
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" token_push = text1[\"data\"][\"accessToken\"]\n",
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@ -207,7 +206,7 @@
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" ]\n",
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" }\n",
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" headers1 = {\"Authorization\": token_push}\n",
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" res = requests.post(url=upload_url, headers=headers1, json=data1, timeout=(3, 5))\n",
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" # res = requests.post(url=upload_url, headers=headers1, json=data1, timeout=(3, 5))\n",
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" \n",
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" \n",
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" \n",
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@ -471,27 +470,587 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
"20241231\n",
|
||||
"20250101\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from datetime import datetime, timedelta\n",
|
||||
"\n",
|
||||
"start_date = datetime(2024, 12, 24)\n",
|
||||
"end_date = datetime(2024, 12, 26)\n",
|
||||
"start_date = datetime(2023, 8, 3)\n",
|
||||
"end_date = datetime(2025, 1, 2)\n",
|
||||
"\n",
|
||||
"while start_date < end_date:\n",
|
||||
" print(start_date.strftime('%Y%m%d'))\n",
|
||||
" start(start_date)\n",
|
||||
" # start_1(start_date)\n",
|
||||
" start_date += timedelta(days=1)\n",
|
||||
" \n",
|
||||
" "
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@ -579,8 +579,8 @@
|
||||
" else:\n",
|
||||
" append_rows.append(\"\")\n",
|
||||
" save_xls(append_rows)\n",
|
||||
" optimize_Model()\n",
|
||||
" upload_data_to_system(token_push,date)\n",
|
||||
" # optimize_Model()\n",
|
||||
" # upload_data_to_system(token_push,date)\n",
|
||||
" # data_list.append(three_cols)\n",
|
||||
" # write_xls(data_list)\n",
|
||||
"\n",
|
||||
@ -788,140 +788,37 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"20241223\n"
|
||||
"20241231\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:299: UserWarning:\n",
|
||||
"\n",
|
||||
"The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Using matplotlib backend: <object object at 0x0000027F8B613090>\n",
|
||||
"%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
|
||||
"Populating the interactive namespace from numpy and matplotlib\n",
|
||||
"Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"d:\\ProgramData\\anaconda3\\Lib\\site-packages\\IPython\\core\\magics\\pylab.py:162: UserWarning:\n",
|
||||
"\n",
|
||||
"pylab import has clobbered these variables: ['__version__', 'random', 'datetime', 'plot']\n",
|
||||
"`%matplotlib` prevents importing * from pylab and numpy\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Best score: 0.997\n",
|
||||
"Best parameters set:\n",
|
||||
"\tlearning_rate: 0.1\n",
|
||||
"\tmax_depth: 8\n",
|
||||
"\tn_estimators: 90\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:239: UserWarning:\n",
|
||||
"\n",
|
||||
"The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n",
|
||||
"\n",
|
||||
"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:273: FutureWarning:\n",
|
||||
"\n",
|
||||
"Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"日期\n",
|
||||
"2024-12-23 3503.160645\n",
|
||||
"Name: 日度预测价格, dtype: float32\n",
|
||||
"{\"confirmFlg\":false,\"status\":true}\n",
|
||||
"新增数据： ['2024-12-23', 7957.0, 6904.0, 0.08, 0.25, 3650.0, 1.54, 0.0, 0.0, 3500.0, 7.9, 0.1, 0.2, 3500.0, 1.05, '', 3500.0, 72.6, '', '', 3538.0, 27.0525, '', '', '', '', 229522.1, 8639.74, 3463.8854, '', '', 40121.2216621, 7423.12, '']\n",
|
||||
"20241224\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:299: UserWarning:\n",
|
||||
"\n",
|
||||
"The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Using matplotlib backend: QtAgg\n",
|
||||
"%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
|
||||
"Populating the interactive namespace from numpy and matplotlib\n",
|
||||
"Fitting 3 folds for each of 180 candidates, totalling 540 fits\n",
|
||||
"Best score: 0.997\n",
|
||||
"Best parameters set:\n",
|
||||
"\tlearning_rate: 0.1\n",
|
||||
"\tmax_depth: 10\n",
|
||||
"\tn_estimators: 100\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:239: UserWarning:\n",
|
||||
"\n",
|
||||
"The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n",
|
||||
"\n",
|
||||
"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_2496\\2239815117.py:273: FutureWarning:\n",
|
||||
"\n",
|
||||
"Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"日期\n",
|
||||
"2024-12-24 3499.874512\n",
|
||||
"Name: 日度预测价格, dtype: float32\n",
|
||||
"{\"confirmFlg\":false,\"status\":true}\n",
|
||||
"新增数据： ['2024-12-24', 7984.0, 6904.0, 0.08, 0.25, 3650.0, 1.71, 0.0, 0.0, 3500.0, 7.9, 0.1, 0.2, 3500.0, 1.15, '', 3500.0, 72.6, 72.67, '', 3521.0, 25.6158, '', '', '', 13.33799789, 229522.1, 5417.02, 3427.8064, '', 1000.0, 44319.2299367, '', 3650.0]\n"
|
||||
"ename": "PermissionError",
|
||||
"evalue": "[Errno 13] Permission denied: '沥青数据项.xls'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mPermissionError\u001b[0m Traceback (most recent call last)",
|
||||
"Cell \u001b[1;32mIn[6], line 8\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m start_date \u001b[38;5;241m<\u001b[39m end_date:\n\u001b[0;32m 7\u001b[0m \u001b[38;5;28mprint\u001b[39m(start_date\u001b[38;5;241m.\u001b[39mstrftime(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mY\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mm\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m----> 8\u001b[0m start_3(start_date)\n\u001b[0;32m 9\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m 10\u001b[0m start_2(start_date)\n",
|
||||
"Cell \u001b[1;32mIn[5], line 548\u001b[0m, in \u001b[0;36mstart_3\u001b[1;34m(date)\u001b[0m\n\u001b[0;32m 546\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 547\u001b[0m append_rows\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 548\u001b[0m save_xls(append_rows)\n",
|
||||
"Cell \u001b[1;32mIn[5], line 723\u001b[0m, in \u001b[0;36msave_xls\u001b[1;34m(append_rows)\u001b[0m\n\u001b[0;32m 720\u001b[0m new_sheet\u001b[38;5;241m.\u001b[39mwrite(row_count, col, append_rows[col])\n\u001b[0;32m 722\u001b[0m \u001b[38;5;66;03m# 保存新的xls文件\u001b[39;00m\n\u001b[1;32m--> 723\u001b[0m new_workbook\u001b[38;5;241m.\u001b[39msave(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m沥青数据项.xls\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
|
||||
"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python311\\site-packages\\xlwt\\Workbook.py:710\u001b[0m, in \u001b[0;36mWorkbook.save\u001b[1;34m(self, filename_or_stream)\u001b[0m\n\u001b[0;32m 707\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m CompoundDoc\n\u001b[0;32m 709\u001b[0m doc \u001b[38;5;241m=\u001b[39m CompoundDoc\u001b[38;5;241m.\u001b[39mXlsDoc()\n\u001b[1;32m--> 710\u001b[0m doc\u001b[38;5;241m.\u001b[39msave(filename_or_stream, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_biff_data())\n",
|
||||
"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python311\\site-packages\\xlwt\\CompoundDoc.py:262\u001b[0m, in \u001b[0;36mXlsDoc.save\u001b[1;34m(self, file_name_or_filelike_obj, stream)\u001b[0m\n\u001b[0;32m 260\u001b[0m we_own_it \u001b[38;5;241m=\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(f, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwrite\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 261\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m we_own_it:\n\u001b[1;32m--> 262\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(file_name_or_filelike_obj, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mw+b\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 263\u001b[0m f\u001b[38;5;241m.\u001b[39mwrite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mheader)\n\u001b[0;32m 264\u001b[0m f\u001b[38;5;241m.\u001b[39mwrite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpacked_MSAT_1st)\n",
|
||||
"\u001b[1;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '沥青数据项.xls'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from datetime import datetime, timedelta\n",
|
||||
"\n",
|
||||
"start_date = datetime(2024, 12, 23)\n",
|
||||
"end_date = datetime(2024, 12, 25)\n",
|
||||
"start_date = datetime(2024, 12, 31)\n",
|
||||
"end_date = datetime(2025, 1, 2)\n",
|
||||
"\n",
|
||||
"while start_date < end_date:\n",
|
||||
" print(start_date.strftime('%Y%m%d'))\n",
|
||||
|
||||
Binary file not shown.
@ -41,9 +41,9 @@ plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
|
||||
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
|
||||
|
||||
# from config_jingbo_pro import *
|
||||
# from config_jingbo import *
|
||||
from config_jingbo import *
|
||||
# from config_yongan import *
|
||||
from config_juxiting import *
|
||||
# from config_juxiting import *
|
||||
|
||||
|
||||
|
||||
|
||||
@ -127,6 +127,7 @@ def predict_main():
|
||||
modelsindex = modelsindex,
|
||||
data = data,
|
||||
is_eta=is_eta,
|
||||
end_time=end_time,
|
||||
)
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user