diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..853cdd4
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,10 @@
+FROM python:3.8
+
+WORKDIR /app
+ADD ./ /app/
+
+RUN pip install --upgrade pip -i https://pypi.douban.com/simple/ --no-cache-dir
+RUN pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple --no-cache-dir
+
+
+CMD ["python3", "run.py"]
\ No newline at end of file
diff --git a/__pycache__/download.cpython-38.pyc b/__pycache__/download.cpython-38.pyc
new file mode 100644
index 0000000..4bf9940
Binary files /dev/null and b/__pycache__/download.cpython-38.pyc differ
diff --git a/__pycache__/tools.cpython-38.pyc b/__pycache__/tools.cpython-38.pyc
new file mode 100644
index 0000000..cab7f81
Binary files /dev/null and b/__pycache__/tools.cpython-38.pyc differ
diff --git a/config/angle.json b/config/angle.json
new file mode 100644
index 0000000..70ee361
--- /dev/null
+++ b/config/angle.json
@@ -0,0 +1 @@
+{"\u5317\u4eac\u5e02": {"\u5317\u4eac\u5e02": [35.0, 4.21, 1.214, 1213.95]}, "\u4e0a\u6d77\u5e02": {"\u4e0a\u6d77\u5e02": [25.0, 4.09, 1.179, 1179.35]}, "\u5929\u6d25\u5e02": {"\u5929\u6d25\u5e02": [35.0, 4.57, 1.318, 1317.76]}, "\u91cd\u5e86\u5e02": {"\u91cd\u5e86\u5e02": [8.0, 2.38, 0.686, 686.27]}, "\u9ed1\u9f99\u6c5f\u7701": {"\u54c8\u5c14\u6ee8\u5e02": [40.0, 4.3, 1.268, 1239.91], "\u9f50\u9f50\u54c8\u5c14\u5e02": [43.0, 4.81, 1.388, 1386.96], "\u7261\u4e39\u6c5f\u5e02": [40.0, 4.51, 1.301, 1300.46], "\u4f73\u6728\u65af\u5e02": [43.0, 4.3, 1.241, 1239.91], "\u9e21\u897f\u5e02": [41.0, 4.53, 1.308, 1306.23], "\u9e64\u5c97\u5e02": [43.0, 4.41, 1.272, 1271.62], "\u53cc\u9e2d\u5c71\u5e02": [43.0, 4.41, 1.272, 1271.62], "\u9ed1\u6cb3\u5e02": [46.0, 4.9, 1.415, 1412.92], "\u5927\u5e86\u5e02": [41.0, 4.61, 1.331, 1329.29], "\u5927\u5174\u5b89\u5cad\u5730\u533a": [49.0, 4.8, 1.384, 1384.08], "\u4f0a\u6625\u5e02": [45.0, 4.73, 1.364, 1363.9], "\u4e03\u53f0\u6cb3\u5e02": [42.0, 4.41, 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\ No newline at end of file
diff --git a/config/各市最佳倾角.xlsx b/config/各市最佳倾角.xlsx
new file mode 100644
index 0000000..c4ae5ae
Binary files /dev/null and b/config/各市最佳倾角.xlsx differ
diff --git a/download.ipynb b/download.ipynb
new file mode 100644
index 0000000..8a1c910
--- /dev/null
+++ b/download.ipynb
@@ -0,0 +1,1825 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "百度一下，你就知道\n"
+     ]
+    }
+   ],
+   "source": [
+    "from selenium import webdriver\n",
+    "from selenium.webdriver.chrome.options import Options\n",
+    "\n",
+    "options = Options()\n",
+    "\n",
+    "options.headless = True\n",
+    "\n",
+    "driver = webdriver.Chrome(\"/usr/bin/chromedriver\", options=options)\n",
+    "\n",
+    "driver.get(\"https://www.baidu.com/\")\n",
+    "print(driver.title)\n",
+    "driver.quit()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pygrib as pg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = pg.open('./data/20230816/gfs.t18z.pgrb2.0p25.f001')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data.seek(0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[1:Downward short-wave radiation flux:W m**-2 (avg):regular_ll:surface:level 0:fcst time 0-1 hrs (avg):from 202308160000]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.select(name=\"Downward short-wave radiation flux\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for grb in data:\n",
+    "    break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "        3.5975e+02],\n",
+       "       [0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "        3.5975e+02],\n",
+       "       [0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "        3.5975e+02],\n",
+       "       ...,\n",
+       "       [0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "        3.5975e+02],\n",
+       "       [0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "        3.5975e+02],\n",
+       "       [0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "        3.5975e+02]])"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "grb.latlons()[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lat = grb.latlons()[0][:, 0]\n",
+    "lon = grb.latlons()[1][0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "       3.5975e+02])"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lon"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "721"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(lat)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[18.56 , 15.12 , 13.168, ...,  0.   ,  0.   ,  0.   ],\n",
+       "       [17.664, 15.136, 14.656, ...,  0.   ,  0.   ,  0.   ],\n",
+       "       [17.904, 16.4  , 16.8  , ...,  0.   ,  0.   ,  0.   ],\n",
+       "       ...,\n",
+       "       [ 2.592,  2.816,  2.48 , ...,  0.   ,  0.   ,  0.   ],\n",
+       "       [ 3.408,  2.688,  2.816, ...,  0.   ,  0.   ,  0.   ],\n",
+       "       [ 6.816,  5.712,  2.768, ...,  0.   ,  0.   ,  0.   ]])"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "grb.values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7faab5bb55e0>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 958.669x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.matshow(data.select(name=\"Downward short-wave radiation flux\")[0].values)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import urllib3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "url = \"https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datetime as dt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'20230815'"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dt.datetime.strftime(dt.datetime.now() - dt.timedelta(days=1), \"%Y%m%d\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from logzero import logger\n",
+    "import os\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "date = '20230816'\n",
+    "file_path = f\"./data/{date}/\"\n",
+    "files = [f\"{file_path}/{x}\" for x in os.listdir(file_path) if x.startswith('gfs')]\n",
+    "pred = list()\n",
+    "for file in files:\n",
+    "    data = pg.open(file)\n",
+    "    try:\n",
+    "        grb = data.select(name=\"Downward short-wave radiation flux\")[0]\n",
+    "        values = grb.values\n",
+    "    except Exception as e:\n",
+    "        logger.info(f\"error occurs when read {file}\")\n",
+    "        values = np.full([721, 1440], np.nan)\n",
+    "        print(values)\n",
+    "    finally:\n",
+    "        pred.append(values)\n",
+    "rst = np.asarray(pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(109, 721, 1440)"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rst.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "timeseries = pd.date_range('2023-08-15 18:00:00', '2023-08-20 17:00:00', freq='H')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "120"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(timeseries)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2023-08-15T18:00:00.000000000', '2023-08-15T19:00:00.000000000',\n",
+       "       '2023-08-15T20:00:00.000000000', '2023-08-15T21:00:00.000000000',\n",
+       "       '2023-08-15T22:00:00.000000000', '2023-08-15T23:00:00.000000000',\n",
+       "       '2023-08-16T00:00:00.000000000', '2023-08-16T01:00:00.000000000',\n",
+       "       '2023-08-16T02:00:00.000000000', '2023-08-16T03:00:00.000000000',\n",
+       "       '2023-08-16T04:00:00.000000000', '2023-08-16T05:00:00.000000000',\n",
+       "       '2023-08-16T06:00:00.000000000', '2023-08-16T07:00:00.000000000',\n",
+       "       '2023-08-16T08:00:00.000000000', '2023-08-16T09:00:00.000000000',\n",
+       "       '2023-08-16T10:00:00.000000000', '2023-08-16T11:00:00.000000000',\n",
+       "       '2023-08-16T12:00:00.000000000', '2023-08-16T13:00:00.000000000',\n",
+       "       '2023-08-16T14:00:00.000000000', '2023-08-16T15:00:00.000000000',\n",
+       "       '2023-08-16T16:00:00.000000000', '2023-08-16T17:00:00.000000000',\n",
+       "       '2023-08-16T18:00:00.000000000', '2023-08-16T19:00:00.000000000',\n",
+       "       '2023-08-16T20:00:00.000000000', '2023-08-16T21:00:00.000000000',\n",
+       "       '2023-08-16T22:00:00.000000000', '2023-08-16T23:00:00.000000000',\n",
+       "       '2023-08-17T00:00:00.000000000', '2023-08-17T01:00:00.000000000',\n",
+       "       '2023-08-17T02:00:00.000000000', '2023-08-17T03:00:00.000000000',\n",
+       "       '2023-08-17T04:00:00.000000000', '2023-08-17T05:00:00.000000000',\n",
+       "       '2023-08-17T06:00:00.000000000', '2023-08-17T07:00:00.000000000',\n",
+       "       '2023-08-17T08:00:00.000000000', '2023-08-17T09:00:00.000000000',\n",
+       "       '2023-08-17T10:00:00.000000000', '2023-08-17T11:00:00.000000000',\n",
+       "       '2023-08-17T12:00:00.000000000', '2023-08-17T13:00:00.000000000',\n",
+       "       '2023-08-17T14:00:00.000000000', '2023-08-17T15:00:00.000000000',\n",
+       "       '2023-08-17T16:00:00.000000000', '2023-08-17T17:00:00.000000000',\n",
+       "       '2023-08-17T18:00:00.000000000', '2023-08-17T19:00:00.000000000',\n",
+       "       '2023-08-17T20:00:00.000000000', '2023-08-17T21:00:00.000000000',\n",
+       "       '2023-08-17T22:00:00.000000000', '2023-08-17T23:00:00.000000000',\n",
+       "       '2023-08-18T00:00:00.000000000', '2023-08-18T01:00:00.000000000',\n",
+       "       '2023-08-18T02:00:00.000000000', '2023-08-18T03:00:00.000000000',\n",
+       "       '2023-08-18T04:00:00.000000000', '2023-08-18T05:00:00.000000000',\n",
+       "       '2023-08-18T06:00:00.000000000', '2023-08-18T07:00:00.000000000',\n",
+       "       '2023-08-18T08:00:00.000000000', '2023-08-18T09:00:00.000000000',\n",
+       "       '2023-08-18T10:00:00.000000000', '2023-08-18T11:00:00.000000000',\n",
+       "       '2023-08-18T12:00:00.000000000', '2023-08-18T13:00:00.000000000',\n",
+       "       '2023-08-18T14:00:00.000000000', '2023-08-18T15:00:00.000000000',\n",
+       "       '2023-08-18T16:00:00.000000000', '2023-08-18T17:00:00.000000000',\n",
+       "       '2023-08-18T18:00:00.000000000', '2023-08-18T19:00:00.000000000',\n",
+       "       '2023-08-18T20:00:00.000000000', '2023-08-18T21:00:00.000000000',\n",
+       "       '2023-08-18T22:00:00.000000000', '2023-08-18T23:00:00.000000000',\n",
+       "       '2023-08-19T00:00:00.000000000', '2023-08-19T01:00:00.000000000',\n",
+       "       '2023-08-19T02:00:00.000000000', '2023-08-19T03:00:00.000000000',\n",
+       "       '2023-08-19T04:00:00.000000000', '2023-08-19T05:00:00.000000000',\n",
+       "       '2023-08-19T06:00:00.000000000', '2023-08-19T07:00:00.000000000',\n",
+       "       '2023-08-19T08:00:00.000000000', '2023-08-19T09:00:00.000000000',\n",
+       "       '2023-08-19T10:00:00.000000000', '2023-08-19T11:00:00.000000000',\n",
+       "       '2023-08-19T12:00:00.000000000', '2023-08-19T13:00:00.000000000',\n",
+       "       '2023-08-19T14:00:00.000000000', '2023-08-19T15:00:00.000000000',\n",
+       "       '2023-08-19T16:00:00.000000000', '2023-08-19T17:00:00.000000000',\n",
+       "       '2023-08-19T18:00:00.000000000', '2023-08-19T19:00:00.000000000',\n",
+       "       '2023-08-19T20:00:00.000000000', '2023-08-19T21:00:00.000000000',\n",
+       "       '2023-08-19T22:00:00.000000000', '2023-08-19T23:00:00.000000000',\n",
+       "       '2023-08-20T00:00:00.000000000', '2023-08-20T01:00:00.000000000',\n",
+       "       '2023-08-20T02:00:00.000000000', '2023-08-20T03:00:00.000000000',\n",
+       "       '2023-08-20T04:00:00.000000000', '2023-08-20T05:00:00.000000000',\n",
+       "       '2023-08-20T06:00:00.000000000', '2023-08-20T07:00:00.000000000',\n",
+       "       '2023-08-20T08:00:00.000000000', '2023-08-20T09:00:00.000000000',\n",
+       "       '2023-08-20T10:00:00.000000000', '2023-08-20T11:00:00.000000000',\n",
+       "       '2023-08-20T12:00:00.000000000', '2023-08-20T13:00:00.000000000',\n",
+       "       '2023-08-20T14:00:00.000000000', '2023-08-20T15:00:00.000000000',\n",
+       "       '2023-08-20T16:00:00.000000000', '2023-08-20T17:00:00.000000000'],\n",
+       "      dtype='datetime64[ns]')"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "timeseries.values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = pd.read_excel('./config/各市最佳倾角.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data['省份'].ffill(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['省份', '安装角度(°)', '峰值日照时数h/day', '每瓦首年发电量(kWh)/W', '年有效利用小时数(h)', '城市'], dtype='object')"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_dict = dict()\n",
+    "for i in range(data.shape[0]):\n",
+    "    prov = data.iloc[i]['省份']\n",
+    "    city = data.iloc[i]['城市']\n",
+    "    values= data.iloc[i][['安装角度(°)', '峰值日照时数h/day', '每瓦首年发电量(kWh)/W','年有效利用小时数(h)']].values.tolist()\n",
+    "    values = [float(x) for x in values]\n",
+    "    if prov not in new_dict:\n",
+    "        new_dict[prov] = {}\n",
+    "    new_dict[prov].update({city:values})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('./config/angle.json', 'w', encoding='utf-8') as fw:\n",
+    "    import json\n",
+    "    fw.write(json.dumps(new_dict))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[[32.0, 4.27, 1.231, 1231.25],\n",
+       " [30.0, 3.38, 0.975, 974.62],\n",
+       " [35.0, 4.9, 1.413, 1412.92],\n",
+       " [36.0, 4.98, 1.436, 1435.98],\n",
+       " [35.0, 4.9, 1.413, 1412.92],\n",
+       " [35.0, 4.94, 1.424, 1424.45],\n",
+       " [32.0, 4.11, 1.349, 1185.12],\n",
+       " [33.0, 4.94, 1.424, 1424.45],\n",
+       " [32.0, 4.72, 1.361, 1361.01],\n",
+       " [36.0, 4.93, 1.422, 1421.57],\n",
+       " [33.0, 4.7, 1.355, 1355.25],\n",
+       " [33.0, 4.77, 1.375, 1375.43],\n",
+       " [35.0, 5.0, 1.442, 1441.75],\n",
+       " [36.0, 4.93, 1.422, 1421.57],\n",
+       " [37.0, 5.03, 1.45, 1450.4],\n",
+       " [32.0, 4.72, 1.361, 1361.01]]"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list(new_dict.get('山东省').values())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('./config/angle.json', 'r', encoding='utf-8') as fr:\n",
+    "    config = json.load(fr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'北京市': {'北京市': [35.0, 4.21, 1.214, 1213.95]},\n",
+       " '上海市': {'上海市': [25.0, 4.09, 1.179, 1179.35]},\n",
+       " '天津市': {'天津市': [35.0, 4.57, 1.318, 1317.76]},\n",
+       " '重庆市': {'重庆市': [8.0, 2.38, 0.686, 686.27]},\n",
+       " '黑龙江省': {'哈尔滨市': [40.0, 4.3, 1.268, 1239.91],\n",
+       "  '齐齐哈尔市': [43.0, 4.81, 1.388, 1386.96],\n",
+       "  '牡丹江市': [40.0, 4.51, 1.301, 1300.46],\n",
+       "  '佳木斯市': [43.0, 4.3, 1.241, 1239.91],\n",
+       "  '鸡西市': [41.0, 4.53, 1.308, 1306.23],\n",
+       "  '鹤岗市': [43.0, 4.41, 1.272, 1271.62],\n",
+       "  '双鸭山市': [43.0, 4.41, 1.272, 1271.62],\n",
+       "  '黑河市': [46.0, 4.9, 1.415, 1412.92],\n",
+       "  '大庆市': [41.0, 4.61, 1.331, 1329.29],\n",
+       "  '大兴安岭地区': [49.0, 4.8, 1.384, 1384.08],\n",
+       "  '伊春市': [45.0, 4.73, 1.364, 1363.9],\n",
+       "  '七台河市': [42.0, 4.41, 1.272, 1271.62],\n",
+       "  '绥化市': [42.0, 4.52, 1.304, 1303.34]},\n",
+       " '吉林省': {'长春市': [41.0, 4.74, 1.367, 1366.78],\n",
+       "  '延边朝鲜族自治州': [38.0, 4.27, 1.231, 1231.25],\n",
+       "  '白城市': [42.0, 4.74, 1.369, 1366.78],\n",
+       "  '松原市': [40.0, 4.63, 1.336, 1335.06],\n",
+       "  '吉林市': [41.0, 4.68, 1.351, 1349.48],\n",
+       "  '四平市': [40.0, 4.66, 1.344, 1343.71],\n",
+       "  '辽源市': [40.0, 4.7, 1.355, 1355.25],\n",
+       "  '通化市': [37.0, 4.45, 1.283, 1283.16],\n",
+       "  '白山市': [37.0, 4.31, 1.244, 1242.79]},\n",
+       " '辽宁省': {'沈阳市': [36.0, 4.38, 1.264, 1262.97],\n",
+       "  '朝阳市': [37.0, 4.78, 1.378, 1378.31],\n",
+       "  '阜新市': [38.0, 4.64, 1.338, 1337.94],\n",
+       "  '铁岭市': [37.0, 4.4, 1.269, 1268.74],\n",
+       "  '抚顺市': [37.0, 4.41, 1.274, 1271.62],\n",
+       "  '本溪市': [36.0, 4.4, 1.271, 1268.74],\n",
+       "  '辽阳市': [36.0, 4.41, 1.272, 1271.62],\n",
+       "  '鞍山市': [35.0, 4.37, 1.262, 1260.09],\n",
+       "  '丹东市': [36.0, 4.41, 1.273, 1271.62],\n",
+       "  '大连市': [32.0, 4.3, 1.241, 1239.91],\n",
+       "  '营口市': [35.0, 4.4, 1.269, 1268.74],\n",
+       "  '盘锦市': [36.0, 4.36, 1.258, 1257.21],\n",
+       "  '锦州市': [37.0, 4.7, 1.358, 1355.25],\n",
+       "  '葫芦岛市': [36.0, 4.66, 1.344, 1343.71]},\n",
+       " '河北省': {'石家庄市': [37.0, 5.03, 1.453, 1450.4],\n",
+       "  '保定市': [32.0, 4.1, 1.182, 1182.24],\n",
+       "  '承德市': [42.0, 5.46, 1.574, 1574.39],\n",
+       "  '唐山市': [36.0, 4.64, 1.338, 1337.94],\n",
+       "  '秦皇岛市': [38.0, 5.0, 1.442, 1441.75],\n",
+       "  '邯郸市': [36.0, 4.93, 1.422, 1421.57],\n",
+       "  '邢台市': [36.0, 4.93, 1.422, 1421.57],\n",
+       "  '张家口市': [38.0, 4.77, 1.375, 1375.43],\n",
+       "  '沧州市': [37.0, 5.07, 1.462, 1461.93],\n",
+       "  '廊坊市': [40.0, 5.17, 1.491, 1490.77],\n",
+       "  '衡水市': [36.0, 5.0, 1.442, 1441.75]},\n",
+       " '山西省': {'太原市': [33.0, 4.65, 1.341, 1340.83],\n",
+       "  '大同市': [36.0, 5.11, 1.474, 1473.47],\n",
+       "  '朔州市': [36.0, 5.16, 1.489, 1487.89],\n",
+       "  '阳泉市': [33.0, 4.67, 1.348, 1346.59],\n",
+       "  '长治市': [28.0, 4.04, 1.165, 1164.93],\n",
+       "  '晋城市': [29.0, 4.28, 1.234, 1234.14],\n",
+       "  '忻州市': [34.0, 4.78, 1.378, 1378.31],\n",
+       "  '晋中市': [33.0, 4.65, 1.342, 1340.83],\n",
+       "  '临汾市': [30.0, 4.27, 1.231, 1231.25],\n",
+       "  '运城市': [26.0, 4.13, 1.193, 1190.89],\n",
+       "  '吕梁市': [32.0, 4.65, 1.341, 1340.83]},\n",
+       " '内蒙古自治区': {'呼和浩特市': [35.0, 4.68, 1.349, 1349.48],\n",
+       "  '包头市': [41.0, 5.55, 1.6, 1600.34],\n",
+       "  '乌海市': [39.0, 5.51, 1.589, 1588.81],\n",
+       "  '赤峰市': [41.0, 5.35, 1.543, 1542.67],\n",
+       "  '通辽市': [44.0, 5.44, 1.569, 1568.62],\n",
+       "  '呼伦贝尔市': [47.0, 4.99, 1.439, 1438.87],\n",
+       "  '兴安盟': [46.0, 5.2, 1.499, 1499.42],\n",
+       "  '鄂尔多斯市': [40.0, 5.55, 1.6, 1600.34],\n",
+       "  '锡林郭勒盟': [43.0, 5.37, 1.548, 1548.44],\n",
+       "  '阿拉善盟': [36.0, 5.35, 1.543, 1542.67],\n",
+       "  '巴彦淖尔市': [41.0, 5.48, 1.58, 1580.16],\n",
+       "  '乌兰察布市': [40.0, 5.49, 1.574, 1583.04]},\n",
+       " '河南省': {'郑州市': [29.0, 4.23, 1.22, 1219.72],\n",
+       "  '开封市': [32.0, 4.54, 1.309, 1309.11],\n",
+       "  '洛阳市': [31.0, 4.56, 1.315, 1314.88],\n",
+       "  '焦作市': [33.0, 4.68, 1.349, 1349.48],\n",
+       "  '平顶山市': [30.0, 4.28, 1.234, 1234.14],\n",
+       "  '鹤壁市': [33.0, 4.73, 1.364, 1363.9],\n",
+       "  '新乡市': [33.0, 4.68, 1.349, 1349.48],\n",
+       "  '安阳市': [30.0, 4.32, 1.246, 1245.67],\n",
+       "  '濮阳市': [33.0, 4.68, 1.349, 1349.48],\n",
+       "  '商丘市': [31.0, 4.56, 1.315, 1314.88],\n",
+       "  '许昌市': [30.0, 4.4, 1.269, 1268.74],\n",
+       "  '漯河市': [29.0, 4.16, 1.2, 1199.54],\n",
+       "  '信阳市': [27.0, 4.13, 1.191, 1190.89],\n",
+       "  '三门峡市': [31.0, 4.56, 1.315, 1314.88],\n",
+       "  '南阳市': [29.0, 4.16, 1.2, 1199.54],\n",
+       "  '周口市': [29.0, 4.16, 1.2, 1199.54],\n",
+       "  '驻马店市': [28.0, 4.34, 1.251, 1251.44],\n",
+       "  '济源市': [28.0, 4.1, 1.182, 1182.24]},\n",
+       " '湖南省': {'长沙市': [20.0, 3.18, 0.917, 916.95],\n",
+       "  '张家界市': [23.0, 3.81, 1.099, 1098.61],\n",
+       "  '常德市': [20.0, 3.38, 0.975, 974.62],\n",
+       "  '益阳市': [16.0, 3.16, 0.912, 911.19],\n",
+       "  '岳阳市': [16.0, 3.22, 0.931, 928.49],\n",
+       "  '株洲市': [19.0, 3.46, 0.998, 997.69],\n",
+       "  '湘潭市': [16.0, 3.23, 0.933, 931.37],\n",
+       "  '衡阳市': [18.0, 3.39, 0.978, 977.51],\n",
+       "  '郴州市': [18.0, 3.46, 0.998, 997.69],\n",
+       "  '永州市': [15.0, 3.27, 0.944, 942.9],\n",
+       "  '邵阳市': [15.0, 3.25, 0.937, 937.14],\n",
+       "  '怀化市': [15.0, 2.96, 0.853, 853.52],\n",
+       "  '娄底市': [16.0, 3.19, 0.921, 919.84],\n",
+       "  '湘西土家族苗族自治州': [15.0, 2.83, 0.817, 816.03]},\n",
+       " '湖北省': {'武汉市': [20.0, 3.17, 0.914, 914.07],\n",
+       "  '十堰市': [26.0, 3.87, 1.116, 1115.91],\n",
+       "  '襄阳市': [20.0, 3.52, 1.016, 1014.99],\n",
+       "  '荆门市': [20.0, 3.16, 0.913, 911.19],\n",
+       "  '孝感市': [20.0, 3.51, 1.012, 1012.11],\n",
+       "  '黄石市': [25.0, 3.89, 1.122, 1121.68],\n",
+       "  '咸宁市': [19.0, 3.37, 0.972, 971.74],\n",
+       "  '荆州市': [23.0, 3.75, 1.081, 1081.31],\n",
+       "  '宜昌市': [20.0, 3.44, 0.992, 991.92],\n",
+       "  '随州市': [22.0, 3.59, 1.036, 1035.18],\n",
+       "  '鄂州市': [21.0, 3.66, 1.057, 1055.36],\n",
+       "  '黄冈市': [21.0, 3.68, 1.063, 1061.13],\n",
+       "  '恩施土家族苗族自治州': [15.0, 2.73, 0.788, 787.2],\n",
+       "  '仙桃市': [17.0, 3.29, 0.949, 948.67],\n",
+       "  '天门市': [18.0, 3.15, 0.91, 908.3],\n",
+       "  '神农架林区': [21.0, 3.23, 0.934, 931.37],\n",
+       "  '潜江市': [27.0, 3.89, 1.122, 1121.68]},\n",
+       " '四川省': {'成都市': [16.0, 2.76, 0.798, 795.85],\n",
+       "  '广元市': [19.0, 3.25, 0.937, 937.14],\n",
+       "  '绵阳市': [17.0, 2.82, 0.813, 813.15],\n",
+       "  '德阳市': [17.0, 2.79, 0.805, 804.5],\n",
+       "  '南充市': [14.0, 2.81, 0.81, 810.26],\n",
+       "  '广安市': [13.0, 2.77, 0.8, 798.73],\n",
+       "  '遂宁市': [11.0, 2.8, 0.808, 807.38],\n",
+       "  '内江市': [11.0, 2.59, 0.747, 746.83],\n",
+       "  '乐山市': [17.0, 2.77, 0.799, 798.73],\n",
+       "  '自贡市': [13.0, 2.62, 0.756, 755.48],\n",
+       "  '泸州市': [11.0, 2.6, 0.75, 749.71],\n",
+       "  '宜宾市': [12.0, 2.67, 0.771, 769.89],\n",
+       "  '攀枝花市': [27.0, 5.01, 1.445, 1444.63],\n",
+       "  '巴中市': [17.0, 2.94, 0.849, 847.75],\n",
+       "  '达州市': [14.0, 2.82, 0.814, 813.15],\n",
+       "  '资阳市': [15.0, 2.73, 0.789, 787.2],\n",
+       "  '眉山市': [16.0, 2.72, 0.786, 784.31],\n",
+       "  '雅安市': [16.0, 2.92, 0.842, 841.98],\n",
+       "  '甘孜藏族自治州': [30.0, 4.17, 1.203, 1202.42],\n",
+       "  '凉山彝族自治州': [25.0, 4.39, 1.266, 1265.86],\n",
+       "  '阿坝藏族羌族自治州': [35.0, 5.28, 1.523, 1522.49]},\n",
+       " '云南省': {'昆明市': [25.0, 4.4, 1.271, 1268.74],\n",
+       "  '曲靖市': [25.0, 4.24, 1.224, 1222.6],\n",
+       "  '玉溪市': [24.0, 4.46, 1.288, 1286.04],\n",
+       "  '丽江市': [29.0, 5.18, 1.494, 1493.65],\n",
+       "  '普洱市': [21.0, 4.33, 1.25, 1248.56],\n",
+       "  '临沧市': [25.0, 4.63, 1.335, 1335.06],\n",
+       "  '德宏傣族景颇族自治州': [25.0, 4.74, 1.367, 1366.78],\n",
+       "  '怒江傈僳族自治州': [27.0, 4.68, 1.35, 1349.48],\n",
+       "  '迪庆藏族自治州': [28.0, 5.01, 1.446, 1444.63],\n",
+       "  '楚雄彝族自治州': [25.0, 4.49, 1.296, 1294.69],\n",
+       "  '昭通市': [22.0, 4.25, 1.225, 1225.49],\n",
+       "  '大理白族自治州': [27.0, 4.91, 1.416, 1415.8],\n",
+       "  '红河哈尼族彝族自治州': [23.0, 4.56, 1.314, 1314.88],\n",
+       "  '保山市': [29.0, 4.66, 1.344, 1343.71],\n",
+       "  '文山壮族苗族自治州': [22.0, 4.52, 1.303, 1303.34],\n",
+       "  '西双版纳傣族自治州': [20.0, 4.47, 1.291, 1288.92]},\n",
+       " '贵州省': {'贵阳市': [15.0, 2.95, 0.852, 850.63],\n",
+       "  '六盘水市': [22.0, 3.84, 1.107, 1107.26],\n",
+       "  '遵义市': [13.0, 2.79, 0.805, 804.5],\n",
+       "  '安顺市': [13.0, 3.05, 0.879, 879.47],\n",
+       "  '毕节市': [21.0, 3.76, 1.086, 1084.2],\n",
+       "  '黔西南布依族苗族自治州': [20.0, 3.85, 1.111, 1110.15],\n",
+       "  '铜仁市': [15.0, 2.9, 0.836, 836.22]},\n",
+       " '西藏自治区': {'拉萨市': [28.0, 6.4, 1.845, 1845.44],\n",
+       "  '阿里地区': [32.0, 6.59, 1.9, 1900.23],\n",
+       "  '昌都市': [32.0, 5.18, 1.494, 1493.65],\n",
+       "  '林芝市': [30.0, 5.33, 1.537, 1536.91],\n",
+       "  '日喀则市': [32.0, 6.61, 1.906, 1905.99],\n",
+       "  '山南市': [32.0, 6.13, 1.758, 1767.5],\n",
+       "  '那曲市': [35.0, 5.84, 1.648, 1683.96]},\n",
+       " '新疆维吾尔自治区': {'乌鲁木齐市': [33.0, 4.22, 1.217, 1216.84],\n",
+       "  '昌吉回族自治州': [33.0, 4.22, 1.217, 1216.84],\n",
+       "  '克拉玛依市': [41.0, 4.87, 1.404, 1404.26],\n",
+       "  '吐鲁番市': [42.0, 5.55, 1.6, 1600.34],\n",
+       "  '哈密市': [40.0, 5.33, 1.537, 1536.91],\n",
+       "  '石河子市': [38.0, 5.12, 1.478, 1476.35],\n",
+       "  '伊犁哈萨克自治州': [40.0, 4.95, 1.427, 1427.33],\n",
+       "  '巴音郭楞蒙古自治州': [41.0, 5.42, 1.563, 1562.86],\n",
+       "  '和田地区': [35.0, 5.59, 1.612, 1611.88],\n",
+       "  '阿勒泰地区': [44.0, 5.17, 1.494, 1490.77],\n",
+       "  '塔城地区': [41.0, 4.88, 1.407, 1407.15],\n",
+       "  '阿克苏地区': [40.0, 5.35, 1.543, 1542.67],\n",
+       "  '博尔塔拉蒙古自治州': [40.0, 4.91, 1.416, 1415.8],\n",
+       "  '克孜勒苏柯尔克孜自治州': [40.0, 4.92, 1.419, 1418.68],\n",
+       "  '喀什地区': [40.0, 4.92, 1.419, 1418.68],\n",
+       "  '图木舒克市': [37.0, 5.0, 1.442, 1441.75],\n",
+       "  '阿拉尔市': [38.0, 4.92, 1.419, 1418.68],\n",
+       "  '五家渠市': [36.0, 4.65, 1.341, 1340.83]},\n",
+       " '陕西省': {'西安市': [26.0, 3.57, 1.029, 1029.41],\n",
+       "  '宝鸡市': [30.0, 4.28, 1.234, 1234.14],\n",
+       "  '咸阳市': [26.0, 3.57, 1.029, 1029.41],\n",
+       "  '渭南市': [31.0, 4.45, 1.283, 1283.16],\n",
+       "  '铜川市': [33.0, 4.65, 1.341, 1340.83],\n",
+       "  '延安市': [35.0, 4.99, 1.439, 1438.87],\n",
+       "  '榆林市': [38.0, 5.4, 1.557, 1557.09],\n",
+       "  '汉中市': [29.0, 4.06, 1.171, 1170.7],\n",
+       "  '安康市': [26.0, 3.85, 1.11, 1110.15],\n",
+       "  '商洛市': [26.0, 3.57, 1.029, 1029.41]},\n",
+       " '甘肃省': {'兰州市': [29.0, 4.21, 1.214, 1213.95],\n",
+       "  '酒泉市': [41.0, 5.54, 1.597, 1597.46],\n",
+       "  '嘉峪关市': [41.0, 5.54, 1.597, 1597.46],\n",
+       "  '张掖市': [42.0, 5.59, 1.612, 1611.88],\n",
+       "  '天水市': [32.0, 4.51, 1.3, 1300.46],\n",
+       "  '白银市': [38.0, 5.31, 1.531, 1531.14],\n",
+       "  '定西市': [38.0, 5.2, 1.499, 1499.42],\n",
+       "  '甘南藏族自治州': [32.0, 4.51, 1.3, 1300.46],\n",
+       "  '金昌市': [39.0, 5.6, 1.615, 1614.76],\n",
+       "  '临夏回族自治州': [38.0, 5.2, 1.499, 1499.42],\n",
+       "  '陇南市': [28.0, 4.51, 1.3, 1300.46],\n",
+       "  '平凉市': [34.0, 4.76, 1.373, 1372.55],\n",
+       "  '庆阳市': [34.0, 4.69, 1.352, 1352.36],\n",
+       "  '武威市': [40.0, 5.17, 1.491, 1490.77]},\n",
+       " '宁夏回族自治区': {'银川市': [36.0, 5.06, 1.459, 1459.05],\n",
+       "  '石嘴山市': [39.0, 5.54, 1.597, 1597.46],\n",
+       "  '固原市': [34.0, 4.76, 1.373, 1372.55],\n",
+       "  '中卫市': [37.0, 5.39, 1.554, 1554.21],\n",
+       "  '吴忠市': [38.0, 5.3, 1.528, 1528.26]},\n",
+       " '青海省': {'西宁市': [34.0, 4.7, 1.355, 1355.25],\n",
+       "  '果洛藏族自治州': [36.0, 5.19, 1.497, 1496.54],\n",
+       "  '海北藏族自治州': [34.0, 4.7, 1.355, 1355.25],\n",
+       "  '海东市': [34.0, 4.7, 1.355, 1355.25],\n",
+       "  '海南藏族自治州': [38.0, 5.88, 1.695, 1695.5],\n",
+       "  '海西蒙古族藏族自治州': [41.0, 5.65, 1.629, 1629.18],\n",
+       "  '黄南藏族自治州': [39.0, 5.81, 1.675, 1675.31],\n",
+       "  '玉树藏族自治州': [34.0, 5.37, 1.548, 1548.44]},\n",
+       " '广东省': {'广州市': [20.0, 3.16, 0.91, 911.19],\n",
+       "  '清远市': [19.0, 3.43, 0.989, 989.04],\n",
+       "  '韶关市': [18.0, 3.67, 1.06, 1058.24],\n",
+       "  '河源市': [18.0, 3.66, 1.056, 1055.36],\n",
+       "  '梅州市': [20.0, 3.92, 1.132, 1130.33],\n",
+       "  '潮州市': [19.0, 4.0, 1.156, 1153.4],\n",
+       "  '汕头市': [19.0, 4.02, 1.16, 1159.17],\n",
+       "  '揭阳市': [18.0, 3.97, 1.147, 1144.75],\n",
+       "  '汕尾市': [17.0, 3.81, 1.1, 1098.61],\n",
+       "  '惠州市': [18.0, 3.74, 1.079, 1078.43],\n",
+       "  '东莞市': [17.0, 3.52, 1.017, 1014.99],\n",
+       "  '深圳市': [17.0, 3.78, 1.089, 1089.96],\n",
+       "  '珠海市': [17.0, 4.0, 1.153, 1153.4],\n",
+       "  '中山市': [17.0, 3.88, 1.118, 1118.8],\n",
+       "  '江门市': [17.0, 3.76, 1.084, 1084.2],\n",
+       "  '佛山市': [18.0, 3.43, 0.99, 989.04],\n",
+       "  '肇庆市': [18.0, 3.48, 1.003, 1003.46],\n",
+       "  '云浮市': [17.0, 3.53, 1.018, 1017.88],\n",
+       "  '阳江市': [16.0, 3.9, 1.127, 1124.57],\n",
+       "  '茂名市': [16.0, 3.84, 1.108, 1107.26],\n",
+       "  '湛江市': [14.0, 3.9, 1.125, 1124.57]},\n",
+       " '广西壮族自治区': {'南宁市': [14.0, 3.62, 1.044, 1043.83],\n",
+       "  '桂林市': [17.0, 3.35, 0.967, 965.97],\n",
+       "  '百色市': [15.0, 3.79, 1.094, 1092.85],\n",
+       "  '玉林市': [16.0, 3.74, 1.079, 1078.43],\n",
+       "  '钦州市': [14.0, 3.67, 1.059, 1058.24],\n",
+       "  '北海市': [14.0, 3.76, 1.085, 1084.2],\n",
+       "  '梧州市': [16.0, 3.63, 1.046, 1046.71],\n",
+       "  '柳州市': [16.0, 3.46, 0.998, 997.69],\n",
+       "  '河池市': [14.0, 3.46, 0.998, 997.69],\n",
+       "  '防城港市': [14.0, 3.67, 1.059, 1058.24],\n",
+       "  '贺州市': [17.0, 3.54, 1.02, 1020.76],\n",
+       "  '来宾市': [14.0, 3.55, 1.024, 1023.64],\n",
+       "  '崇左市': [14.0, 3.74, 1.078, 1078.43],\n",
+       "  '贵港市': [15.0, 3.61, 1.042, 1040.94]},\n",
+       " '海南省': {'海口市': [10.0, 4.33, 1.25, 1248.56],\n",
+       "  '三亚市': [15.0, 4.75, 1.371, 1369.66],\n",
+       "  '琼海市': [12.0, 4.71, 1.358, 1358.13],\n",
+       "  '白沙黎族自治县': [15.0, 4.76, 1.374, 1372.55],\n",
+       "  '保亭黎族苗族自治县': [15.0, 4.74, 1.368, 1366.78],\n",
+       "  '昌江黎族自治县': [13.0, 4.55, 1.314, 1311.99],\n",
+       "  '澄迈县': [13.0, 4.55, 1.313, 1311.99],\n",
+       "  '儋州市': [13.0, 4.48, 1.294, 1291.81],\n",
+       "  '定安县': [10.0, 4.32, 1.246, 1245.67],\n",
+       "  '东方市': [14.0, 4.84, 1.396, 1395.61],\n",
+       "  '乐东黎族自治县': [16.0, 4.77, 1.376, 1375.43],\n",
+       "  '临高县': [12.0, 4.51, 1.302, 1300.46],\n",
+       "  '陵水黎族自治县': [15.0, 4.74, 1.366, 1366.78],\n",
+       "  '琼中黎族苗族自治县': [13.0, 4.72, 1.362, 1361.01],\n",
+       "  '屯昌县': [13.0, 4.68, 1.351, 1349.48],\n",
+       "  '万宁市': [13.0, 4.67, 1.346, 1346.59],\n",
+       "  '文昌市': [10.0, 4.28, 1230.0, 1234.0],\n",
+       "  '五指山市': [15.0, 4.8, 1.387, 1384.08]},\n",
+       " '江苏省': {'南京市': [23.0, 3.71, 1.07, 1069.78],\n",
+       "  '徐州市': [25.0, 3.95, 1.139, 1138.98],\n",
+       "  '连云港市': [26.0, 4.13, 1.19, 1190.89],\n",
+       "  '盐城市': [25.0, 3.98, 1.147, 1147.63],\n",
+       "  '泰州市': [23.0, 3.8, 1.097, 1095.73],\n",
+       "  '镇江市': [23.0, 3.68, 1.062, 1061.13],\n",
+       "  '南通市': [23.0, 3.92, 1.13, 1130.33],\n",
+       "  '常州市': [23.0, 3.73, 1.076, 1075.55],\n",
+       "  '无锡市': [23.0, 3.71, 1.07, 1069.78],\n",
+       "  '苏州市': [22.0, 3.68, 1.062, 1061.13],\n",
+       "  '淮安市': [25.0, 3.98, 1.148, 1147.63],\n",
+       "  '宿迁市': [25.0, 3.96, 1.141, 1141.87],\n",
+       "  '扬州市': [22.0, 3.69, 1.065, 1064.01]},\n",
+       " '浙江省': {'杭州市': [20.0, 3.42, 0.988, 986.16],\n",
+       "  '绍兴市': [20.0, 3.56, 1.028, 1026.53],\n",
+       "  '宁波市': [20.0, 3.67, 1.057, 1058.24],\n",
+       "  '湖州市': [20.0, 3.7, 1.067, 1066.9],\n",
+       "  '嘉兴市': [20.0, 3.66, 1.057, 1055.36],\n",
+       "  '金华市': [20.0, 3.63, 1.047, 1046.71],\n",
+       "  '丽水市': [20.0, 3.77, 1.089, 1087.08],\n",
+       "  '温州市': [18.0, 3.77, 1.088, 1087.08],\n",
+       "  '台州市': [23.0, 3.8, 1.098, 1095.73],\n",
+       "  '舟山市': [20.0, 3.76, 1.085, 1084.2],\n",
+       "  '衢州市': [20.0, 3.69, 1.064, 1064.01]},\n",
+       " '福建省': {'福州市': [17.0, 3.54, 1.021, 1020.76],\n",
+       "  '莆田市': [16.0, 3.59, 1.035, 1035.18],\n",
+       "  '南平市': [18.0, 4.17, 1.204, 1202.42],\n",
+       "  '厦门市': [17.0, 3.89, 1.121, 1121.68],\n",
+       "  '泉州市': [17.0, 3.92, 1.131, 1130.33],\n",
+       "  '漳州市': [18.0, 3.87, 1.116, 1115.91],\n",
+       "  '三明市': [18.0, 3.92, 1.132, 1130.33],\n",
+       "  '龙岩市': [20.0, 3.92, 1.13, 1130.33],\n",
+       "  '宁德市': [18.0, 3.62, 1.045, 1043.83]},\n",
+       " '山东省': {'济南市': [32.0, 4.27, 1.231, 1231.25],\n",
+       "  '青岛市': [30.0, 3.38, 0.975, 974.62],\n",
+       "  '淄博市': [35.0, 4.9, 1.413, 1412.92],\n",
+       "  '东营市': [36.0, 4.98, 1.436, 1435.98],\n",
+       "  '潍坊市': [35.0, 4.9, 1.413, 1412.92],\n",
+       "  '烟台市': [35.0, 4.94, 1.424, 1424.45],\n",
+       "  '枣庄市': [32.0, 4.11, 1.349, 1185.12],\n",
+       "  '威海市': [33.0, 4.94, 1.424, 1424.45],\n",
+       "  '济宁市': [32.0, 4.72, 1.361, 1361.01],\n",
+       "  '泰安市': [36.0, 4.93, 1.422, 1421.57],\n",
+       "  '日照市': [33.0, 4.7, 1.355, 1355.25],\n",
+       "  '临沂市': [33.0, 4.77, 1.375, 1375.43],\n",
+       "  '德州市': [35.0, 5.0, 1.442, 1441.75],\n",
+       "  '聊城市': [36.0, 4.93, 1.422, 1421.57],\n",
+       "  '滨州市': [37.0, 5.03, 1.45, 1450.4],\n",
+       "  '菏泽市': [32.0, 4.72, 1.361, 1361.01]},\n",
+       " '江西省': {'南昌市': [16.0, 3.59, 1.036, 1035.18],\n",
+       "  '九江市': [20.0, 3.56, 1.026, 1026.53],\n",
+       "  '景德镇市': [20.0, 3.63, 1.047, 1046.71],\n",
+       "  '上饶市': [20.0, 3.76, 1.084, 1084.2],\n",
+       "  '鹰潭市': [17.0, 3.68, 1.062, 1061.13],\n",
+       "  '宜春市': [15.0, 3.37, 0.973, 971.74],\n",
+       "  '萍乡市': [15.0, 3.33, 0.962, 960.21],\n",
+       "  '赣州市': [16.0, 3.67, 1.059, 1058.24],\n",
+       "  '吉安市': [16.0, 3.59, 1.037, 1035.18],\n",
+       "  '抚州市': [16.0, 3.64, 1.049, 1049.59],\n",
+       "  '新余市': [15.0, 3.55, 1.025, 1023.64]},\n",
+       " '安徽省': {'合肥市': [27.0, 3.69, 1.064, 1064.01],\n",
+       "  '芜湖市': [26.0, 4.03, 1.162, 1162.05],\n",
+       "  '黄山市': [25.0, 3.84, 1.107, 1107.26],\n",
+       "  '安庆市': [25.0, 3.91, 1.127, 1127.45],\n",
+       "  '蚌埠市': [25.0, 3.92, 1.13, 1130.33],\n",
+       "  '亳州市': [23.0, 3.86, 1.115, 1113.03],\n",
+       "  '池州市': [22.0, 3.64, 1.048, 1049.59],\n",
+       "  '滁州市': [23.0, 3.66, 1.056, 1055.36],\n",
+       "  '阜阳市': [28.0, 4.21, 1.214, 1213.95],\n",
+       "  '淮北市': [30.0, 4.49, 1.295, 1294.69],\n",
+       "  '六安市': [23.0, 3.69, 1.065, 1064.01],\n",
+       "  '马鞍山市': [22.0, 3.68, 1.061, 1061.13],\n",
+       "  '宿州市': [30.0, 4.47, 1.289, 1288.92],\n",
+       "  '铜陵市': [22.0, 3.65, 1.054, 1052.48],\n",
+       "  '宣城市': [23.0, 3.65, 1.052, 1052.48],\n",
+       "  '淮南市': [28.0, 4.24, 1.223, 1222.6]},\n",
+       " '香港特别行政区': {'香港特别行政区': [17.0, 3.78, 1.089, 1089.96]},\n",
+       " '澳门特别行政区': {'澳门特别行政区': [17.0, 4.0, 1.153, 1153.4]},\n",
+       " '台湾省': {'台北市': [24.0, 3.75, 1.081, 1081.31]}}"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 9255.2, 92069. ])"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "230 * 0.2 * np.asarray( [201.2, 2001.5])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datetime as dt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "start = dt.datetime(2023,8,11, 19) + dt.timedelta(hours=8)\n",
+    "end = dt.datetime(2023,8,21, 19) + dt.timedelta(hours=8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['2023-08-12 11:00:00',\n",
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+       " '2023-08-17 05:00:00',\n",
+       " '2023-08-17 06:00:00',\n",
+       " '2023-08-17 07:00:00',\n",
+       " '2023-08-17 08:00:00',\n",
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+       " '2023-08-17 12:00:00',\n",
+       " '2023-08-17 13:00:00',\n",
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+       " '2023-08-17 17:00:00',\n",
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+       " '2023-08-17 22:00:00',\n",
+       " '2023-08-17 23:00:00',\n",
+       " '2023-08-18 00:00:00',\n",
+       " '2023-08-18 01:00:00',\n",
+       " '2023-08-18 02:00:00',\n",
+       " '2023-08-18 03:00:00',\n",
+       " '2023-08-18 04:00:00',\n",
+       " '2023-08-18 05:00:00',\n",
+       " '2023-08-18 06:00:00',\n",
+       " '2023-08-18 07:00:00',\n",
+       " '2023-08-18 08:00:00',\n",
+       " '2023-08-18 09:00:00',\n",
+       " '2023-08-18 10:00:00',\n",
+       " '2023-08-18 11:00:00',\n",
+       " '2023-08-18 12:00:00',\n",
+       " '2023-08-18 13:00:00',\n",
+       " '2023-08-18 14:00:00',\n",
+       " '2023-08-18 15:00:00',\n",
+       " '2023-08-18 16:00:00',\n",
+       " '2023-08-18 17:00:00',\n",
+       " '2023-08-18 18:00:00',\n",
+       " '2023-08-18 19:00:00',\n",
+       " '2023-08-18 20:00:00',\n",
+       " '2023-08-18 21:00:00',\n",
+       " '2023-08-18 22:00:00',\n",
+       " '2023-08-18 23:00:00',\n",
+       " '2023-08-19 00:00:00',\n",
+       " '2023-08-19 01:00:00',\n",
+       " '2023-08-19 02:00:00',\n",
+       " '2023-08-19 03:00:00',\n",
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+       " '2023-08-19 07:00:00',\n",
+       " '2023-08-19 08:00:00',\n",
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+       " '2023-08-19 12:00:00',\n",
+       " '2023-08-19 13:00:00',\n",
+       " '2023-08-19 14:00:00',\n",
+       " '2023-08-19 15:00:00',\n",
+       " '2023-08-19 16:00:00',\n",
+       " '2023-08-19 17:00:00',\n",
+       " '2023-08-19 18:00:00',\n",
+       " '2023-08-19 19:00:00',\n",
+       " '2023-08-19 20:00:00',\n",
+       " '2023-08-19 21:00:00',\n",
+       " '2023-08-19 22:00:00',\n",
+       " '2023-08-19 23:00:00',\n",
+       " '2023-08-20 00:00:00',\n",
+       " '2023-08-20 01:00:00',\n",
+       " '2023-08-20 02:00:00',\n",
+       " '2023-08-20 03:00:00',\n",
+       " '2023-08-20 04:00:00',\n",
+       " '2023-08-20 05:00:00',\n",
+       " '2023-08-20 06:00:00',\n",
+       " '2023-08-20 07:00:00',\n",
+       " '2023-08-20 08:00:00',\n",
+       " '2023-08-20 09:00:00',\n",
+       " '2023-08-20 10:00:00',\n",
+       " '2023-08-20 11:00:00',\n",
+       " '2023-08-20 12:00:00',\n",
+       " '2023-08-20 13:00:00',\n",
+       " '2023-08-20 14:00:00',\n",
+       " '2023-08-20 15:00:00',\n",
+       " '2023-08-20 16:00:00',\n",
+       " '2023-08-20 17:00:00',\n",
+       " '2023-08-20 18:00:00',\n",
+       " '2023-08-20 19:00:00',\n",
+       " '2023-08-20 20:00:00',\n",
+       " '2023-08-20 21:00:00',\n",
+       " '2023-08-20 22:00:00',\n",
+       " '2023-08-20 23:00:00',\n",
+       " '2023-08-21 00:00:00',\n",
+       " '2023-08-21 01:00:00',\n",
+       " '2023-08-21 02:00:00',\n",
+       " '2023-08-21 03:00:00',\n",
+       " '2023-08-21 04:00:00',\n",
+       " '2023-08-21 05:00:00',\n",
+       " '2023-08-21 06:00:00',\n",
+       " '2023-08-21 07:00:00',\n",
+       " '2023-08-21 08:00:00',\n",
+       " '2023-08-21 09:00:00',\n",
+       " '2023-08-21 10:00:00',\n",
+       " '2023-08-21 11:00:00',\n",
+       " '2023-08-21 12:00:00',\n",
+       " '2023-08-21 13:00:00',\n",
+       " '2023-08-21 14:00:00',\n",
+       " '2023-08-21 15:00:00',\n",
+       " '2023-08-21 16:00:00',\n",
+       " '2023-08-21 17:00:00',\n",
+       " '2023-08-21 18:00:00',\n",
+       " '2023-08-21 19:00:00',\n",
+       " '2023-08-21 20:00:00',\n",
+       " '2023-08-21 21:00:00',\n",
+       " '2023-08-21 22:00:00',\n",
+       " '2023-08-21 23:00:00',\n",
+       " '2023-08-22 00:00:00',\n",
+       " '2023-08-22 01:00:00',\n",
+       " '2023-08-22 02:00:00',\n",
+       " '2023-08-22 03:00:00',\n",
+       " '2023-08-22 04:00:00',\n",
+       " '2023-08-22 05:00:00',\n",
+       " '2023-08-22 06:00:00',\n",
+       " '2023-08-22 07:00:00',\n",
+       " '2023-08-22 08:00:00',\n",
+       " '2023-08-22 09:00:00',\n",
+       " '2023-08-22 10:00:00',\n",
+       " '2023-08-22 11:00:00']"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.date_range(start+dt.timedelta(hours=8), end+dt.timedelta(hours=8), freq='H').astype(str).to_list()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pygrib as pg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = pg.open('./data/20230822/gfs.t18z.pgrb2.0p25.f001')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data.seek(0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame(np.random.rand(721, 1440)).to_csv('./data/test.csv', index=False, encoding='utf-8-sig')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tmp = np.random.rand(120, 721, 1440)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "721"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(np.arange(-90, 90.1, 0.25))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "       3.5975e+02])"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.arange(0, 360, step=0.25)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1440"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(np.arange(0, 360, step=0.25))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(np.arange(90, -90.1, -0.25) == lat) == 721"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(np.arange(0, 360, step=0.25) == lon) == 1440 "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "124588800"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "721 * 1440 * 120"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import jieba"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['阿勒', '阿勒泰', '阿勒泰地区', '地区']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jieba.lcut(\"阿勒泰地区\", cut_all=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "angle = pd.read_excel('./config/各市最佳倾角.xlsx')\n",
+    "city = pd.read_excel('city.xlsx', header=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "city.columns = ['prov', 'city']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "angle = angle.ffill()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def check_name(x, y):\n",
+    "    for c in y:\n",
+    "        if x in c:\n",
+    "            return c\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "prov_list = city.prov.unique().tolist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['河北省',\n",
+       " '山西省',\n",
+       " '内蒙古自治区',\n",
+       " '辽宁省',\n",
+       " '吉林省',\n",
+       " '黑龙江省',\n",
+       " '江苏省',\n",
+       " '浙江省',\n",
+       " '安徽省',\n",
+       " '福建省',\n",
+       " '江西省',\n",
+       " '山东省',\n",
+       " '河南省',\n",
+       " '湖北省',\n",
+       " '湖南省',\n",
+       " '广东省',\n",
+       " '广西壮族自治区',\n",
+       " '海南省',\n",
+       " '四川省',\n",
+       " '贵州省',\n",
+       " '云南省',\n",
+       " '西藏自治区',\n",
+       " '陕西省',\n",
+       " '甘肃省',\n",
+       " '青海省',\n",
+       " '宁夏回族自治区',\n",
+       " '新疆维吾尔自治区']"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "prov_list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "angle['省份'] = angle['省份'].apply(lambda x: check_name(x, prov_list))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>省份</th>\n",
+       "      <th>城市</th>\n",
+       "      <th>安装角度(°)</th>\n",
+       "      <th>峰值日照时数h/day</th>\n",
+       "      <th>每瓦首年发电量(kWh)/W</th>\n",
+       "      <th>年有效利用小时数(h)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>北京市</td>\n",
+       "      <td>北京市</td>\n",
+       "      <td>35</td>\n",
+       "      <td>4.21</td>\n",
+       "      <td>1.214</td>\n",
+       "      <td>1213.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>上海市</td>\n",
+       "      <td>上海市</td>\n",
+       "      <td>25</td>\n",
+       "      <td>4.09</td>\n",
+       "      <td>1.179</td>\n",
+       "      <td>1179.35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>天津市</td>\n",
+       "      <td>天津市</td>\n",
+       "      <td>35</td>\n",
+       "      <td>4.57</td>\n",
+       "      <td>1.318</td>\n",
+       "      <td>1317.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>重庆市</td>\n",
+       "      <td>重庆市</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>0.686</td>\n",
+       "      <td>686.27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>黑龙江省</td>\n",
+       "      <td>哈尔滨</td>\n",
+       "      <td>40</td>\n",
+       "      <td>4.30</td>\n",
+       "      <td>1.268</td>\n",
+       "      <td>1239.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>356</th>\n",
+       "      <td>安徽省</td>\n",
+       "      <td>宣城</td>\n",
+       "      <td>23</td>\n",
+       "      <td>3.65</td>\n",
+       "      <td>1.052</td>\n",
+       "      <td>1052.48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>357</th>\n",
+       "      <td>安徽省</td>\n",
+       "      <td>淮南</td>\n",
+       "      <td>28</td>\n",
+       "      <td>4.24</td>\n",
+       "      <td>1.223</td>\n",
+       "      <td>1222.60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>358</th>\n",
+       "      <td>香港特别行政区</td>\n",
+       "      <td>香港特别行政区</td>\n",
+       "      <td>17</td>\n",
+       "      <td>3.78</td>\n",
+       "      <td>1.089</td>\n",
+       "      <td>1089.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>359</th>\n",
+       "      <td>澳门特别行政区</td>\n",
+       "      <td>澳门特别行政区</td>\n",
+       "      <td>17</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>1.153</td>\n",
+       "      <td>1153.40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>360</th>\n",
+       "      <td>台湾省</td>\n",
+       "      <td>台北市</td>\n",
+       "      <td>24</td>\n",
+       "      <td>3.75</td>\n",
+       "      <td>1.081</td>\n",
+       "      <td>1081.31</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>361 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          省份       城市  安装角度(°)  峰值日照时数h/day  每瓦首年发电量(kWh)/W  年有效利用小时数(h)\n",
+       "0        北京市      北京市       35         4.21           1.214      1213.95\n",
+       "1        上海市      上海市       25         4.09           1.179      1179.35\n",
+       "2        天津市      天津市       35         4.57           1.318      1317.76\n",
+       "3        重庆市      重庆市        8         2.38           0.686       686.27\n",
+       "4       黑龙江省      哈尔滨       40         4.30           1.268      1239.91\n",
+       "..       ...      ...      ...          ...             ...          ...\n",
+       "356      安徽省       宣城       23         3.65           1.052      1052.48\n",
+       "357      安徽省       淮南       28         4.24           1.223      1222.60\n",
+       "358  香港特别行政区  香港特别行政区       17         3.78           1.089      1089.96\n",
+       "359  澳门特别行政区  澳门特别行政区       17         4.00           1.153      1153.40\n",
+       "360      台湾省      台北市       24         3.75           1.081      1081.31\n",
+       "\n",
+       "[361 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "angle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "angle['地级行政区'] = angle.apply(lambda x: check_name(x['城市'], city[city.prov==x['省份']].city.values.tolist()), axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "angle.to_excel('./各市最佳倾角.xlsx', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "py37",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.17"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/download.py b/download.py
new file mode 100644
index 0000000..07ef069
--- /dev/null
+++ b/download.py
@@ -0,0 +1,99 @@
+import datetime as dt
+import os
+import wget
+import pygrib as pg
+import numpy as np
+import pandas as pd
+from logzero import logger
+import shutil
+import sys
+
+
+
+def check_newest_date()->str:
+    """_summary_
+    检查GFS下最新的文件，返回time字符串"YYYY-mm-DD HH:00:00"(整点更新)
+    Returns:
+        str: _description_
+    """
+    pass
+
+
+def fetch_files(now:str):
+    """_summary_
+
+    Args:
+        now (str): 时间戳，"YYYY-mm-dd HH:MM:SS"
+
+    Returns:
+        list: np.array: 返回时间跨度
+    """
+    if now is None:
+        now = dt.datetime.now()
+    else:
+        now = dt.datetime.strptime(now, "%Y-$m-%d %H:%M:%S")
+    logger.info(now)
+    hour = now.hour - 8 # GFS是UTC+0，datetime的时间是UTC+8, 所以要取一下值
+    logger.info(f"对应的UTC+0 时间：{hour}")
+    today = dt.date.today()
+    yesterday = today - dt.timedelta(days=1)
+    today_str = dt.datetime.strftime(today, "%Y%m%d")
+    yesterday_str = dt.datetime.strftime(yesterday, "%Y%m%d")
+    if hour <= 6:
+        logger.info("UTC+0 7点以前取前一天最后一次更新的结果")
+        start_date = dt.datetime(yesterday.year, yesterday.month, yesterday.day, 19, 0, 0)
+        if not os.path.exists(f'./data/{yesterday_str}'):
+            os.mkdir(f'./data/{yesterday_str}')
+        date = yesterday_str
+        for h in range(1, 5 * 24+1):
+            h_str = "{:03d}".format(h)
+            url = f"https://nomads.ncep.noaa.gov/cgi-bin/filter_gfs_0p25_1hr.pl?dir=%2Fgfs.{date}%2F18%2Fatmos&file=gfs.t18z.pgrb2.0p25.f{h_str}&var_DSWRF=on&lev_surface=on"
+            logger.info(url)
+            out_path = f"./data/{date}/gfs.t18z.pgrb2.0p25.f{h_str}"
+            if not os.path.exists(out_path):
+                wget.download(url, out=out_path)
+            logger.info(f"download file {out_path} finished")
+    else:
+        logger.info("UTC+0 7点以后调用, 则取今天00点的预测结果")
+        if not os.path.exists(f'./data/{today_str}'):
+            os.mkdir(f'./data/{today_str}')
+        start_date = dt.datetime(today.year, today.month, today.day, 1, 0, 0)
+        date = today_str
+        for h in range(1, 5 * 24+1):
+            h_str = "{:03d}".format(h)
+            url = f"https://nomads.ncep.noaa.gov/cgi-bin/filter_gfs_0p25_1hr.pl?dir=%2Fgfs.{date}%2F00%2Fatmos&file=gfs.t00z.pgrb2.0p25.f{h_str}&var_DSWRF=on&lev_surface=on"
+            logger.info(url)
+            out_path = f"./data/{date}/gfs.t18z.pgrb2.0p25.f{h_str}"
+            if not os.path.exists(out_path):
+                wget.download(url, out=out_path)
+            logger.info(f"download file {out_path} finished")
+    end_date = start_date + dt.timedelta(hours=120)
+    time_range = pd.date_range(start_date+dt.timedelta(hours=8), end_date+dt.timedelta(hours=8), freq='H').astype(str).to_list()
+    return time_range, date
+
+
+def trans_data(date:str) -> np.array:
+    file_path = f"./data/{date}/"
+    files = [f"{file_path}/{x}" for x in os.listdir(file_path) if x.startswith('gfs')]
+    pred = list()
+    for file in files:
+        data = pg.open(file)
+        try:
+            grb = data.select(name="Downward short-wave radiation flux")[0]
+            values = grb.values
+        except Exception as e:
+            logger.info(f"error occurs when read {file}, {e}")
+            values = np.full([721, 1440], np.nan)
+        finally:
+            pred.append(values)
+            data.close()
+    rst = np.asarray(pred).tolist()
+    # np.save(f"./data/{date}.npy", rst)
+    # TODO: 在这里添加写入数据库的代码
+
+    shutil.rmtree(f"./data/{date}/")
+    return rst
+
+if __name__ == '__main__':
+    time_range, date = fetch_files(None)
+    rst = trans_data(date)
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..efa4723
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,5 @@
+numpy==1.24.4
+pandas==1.2.4
+logzero==1.7.0
+flask==2.3.3
+jieba==0.42.1
\ No newline at end of file
diff --git a/run.py b/run.py
new file mode 100644
index 0000000..e28beae
--- /dev/null
+++ b/run.py
@@ -0,0 +1,58 @@
+# -*-coding:utf-8-*-
+import os
+os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
+import json
+from flask import Flask, request, make_response
+from logzero import logger
+
+current_path = os.path.dirname(os.path.abspath(__file__)) # for local
+# current_path = "/app"  # for docker
+logger.info(f"{current_path}")
+from tools import cal_generation, cal_angle, load_config
+
+app = Flask(__name__)
+angle_config = load_config(f"{current_path}/config/angle.json")
+
+
+@app.route('/angle/', methods=["POST"])
+def get_angle_info():
+    resp_info = dict()
+    if request.method == "POST":
+        prov = request.json.get('province')
+        city = request.json.get('city')
+        logger.info(f"{prov}-{city}")
+        try:
+            best_angle = cal_angle(prov, city)
+            resp_info["code"] = 200
+            resp_info["data"] = best_angle
+        except Exception as e:
+            resp_info["code"] = 406
+            resp_info["data"] = str(e)
+    resp = make_response(json.dumps(resp_info))
+    resp.status_code = 200
+    return resp
+
+@app.route('/power/', methods=["POST"])
+def get_power():
+    resp_info = dict()
+    if request.method == "POST":
+        prov = request.json.get('province')
+        city = request.json.get('city')
+        cap = request.json.get('capacity')
+        angle = request.json.get('angle')
+        dhi_list = request.json.get('dhi')
+        try:
+            best_angle = cal_angle(prov, city)
+            power_trend = cal_generation(cap, angle, best_angle, dhi_list)
+            resp_info["code"] = 200
+            resp_info["data"] = power_trend
+        except Exception as e:
+            resp_info["code"] = 406
+            resp_info["data"] = str(e)
+    resp = make_response(json.dumps(resp_info))
+    resp.status_code = 200
+    return resp
+
+
+if __name__ == '__main__':
+    app.run(port=9515, host="0.0.0.0", debug=False)
diff --git a/tools.py b/tools.py
new file mode 100644
index 0000000..0044d04
--- /dev/null
+++ b/tools.py
@@ -0,0 +1,39 @@
+# -*-utf8-*-
+import numpy as np
+import jieba
+import json
+import math
+
+def load_config(path):
+    with open(path, 'r', encoding='utf-8') as fr:
+        config = json.load(fr)
+    return config
+
+def cal_angle(prov:str, city:str, angle_config:dict):
+    """_summary_
+
+    Args:
+        prov (str): 省、直辖市、自治区、特别行政区
+        city (str): 地级市、地区、自治州、盟
+        angle_config (dict): _description_
+
+    Returns:
+        _type_: _description_
+    """
+    prov_values = angle_config.get(prov)
+    if not prov_values:
+        return False
+    city = [x for x in jieba.lcut(city, cut_all=True)]
+    city_values = prov_values.get(city)
+    if not prov_values:
+        values = np.mean(list(prov_values.values), axis=0)
+    else:
+        values = city_values
+    return values
+
+def cal_generation(cap: [int, float], angle, best_angle, dhi_list):
+    """_summary_
+    G = Y * cos(|x - y|)* 0.9 * GHI
+    """
+    dhi_list = np.asarray(dhi_list)
+    return list(cap * math.cos(math.radians(abs(angle - best_angle))) * dhi_list)
\ No newline at end of file