nmc_met_io/examples/retrieve_caiyun_api.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 访问彩云天气的预报数据\n",
    "\n",
    "#### —— nmc_met_io程序库使用说明\n",
    "\n",
    "国家气象中心天气预报技术研发室    \n",
    "June, 2020    \n",
    "Kan Dai \n",
    "\n",
    "### 彩云天气预报数据\n",
    "* [彩云天气](http://caiyunapp.com/)提供了API接口, 用于实时访问其预报数据。  \n",
    "* 需要在网站上注册用户名,并进入[彩云科技开放平台](https://dashboard.caiyunapp.com/v1/token/)申请免费试用的令牌(免费试用的日申请次数不能超过1000次);\n",
    "* 获得试用令牌之后, 在\"用户名/nmcdev/config.ini\"中配置好令牌参数:\n",
    "```\n",
    "[CAIY]\n",
    "token = xxxxxxxxxxxxxxxx\n",
    "```\n",
    "* 提供未来24小时小时级以及5天天级预报数据, 范围覆盖全球任意经纬度;\n",
    "* 可以提供全球分钟级预报图和预报数据的天气 API;\n",
    "* 数据类型包括实时数据, 分钟级降水数据, 逐小时数据, 逐日数据, 生活指数,  预警信息(同步于中央气象台)\n",
    "* 变量类型包括温度、湿度、风向、风速、气压、云量、降水量（mm／h）／降水强度、PM 2.5、AQI、天气类型等\n",
    "* 具体内容可以参考[彩云天气 API](https://open.caiyunapp.com/%E5%BD%A9%E4%BA%91%E5%A4%A9%E6%B0%94_API/v2.5)\n",
    "\n",
    "### retrieve_caiy_api模块主要功能:\n",
    "* get_caiy_weather, 指定经纬度信息, 返回逐小时和逐日的天气预报数据.\n",
    "\n",
    "### 参考网站\n",
    "* https://open.caiyunapp.com/%E5%BD%A9%E4%BA%91%E5%A4%A9%E6%B0%94_API/v2.5\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set up things\n",
    "%matplotlib inline\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Setting cartopy.config[\"pre_existing_data_dir\"] to /home/kan-dai/anaconda3/share/cartopy. Don't worry, this is probably intended behaviour to avoid failing downloads of geological data behind a firewall.\n"
     ]
    }
   ],
   "source": [
    "# load libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import proplot as plot\n",
    "from nmc_met_io.retrieve_caiy_api import get_caiy_weather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 访问实时彩云预报数据\n",
    "data = get_caiy_weather(lon=116.4667, lat=39.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 未来24小时逐时预报数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>datetime</th>\n",
       "      <th>precipitation</th>\n",
       "      <th>temperature</th>\n",
       "      <th>speed</th>\n",
       "      <th>direction</th>\n",
       "      <th>humidity</th>\n",
       "      <th>cloudrate</th>\n",
       "      <th>skycon</th>\n",
       "      <th>pressure</th>\n",
       "      <th>visibility</th>\n",
       "      <th>dswrf</th>\n",
       "      <th>air_quality</th>\n",
       "      <th>pm25</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-03-10 17:00:00+08:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.00</td>\n",
       "      <td>12.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>CLEAR_DAY</td>\n",
       "      <td>101347.2</td>\n",
       "      <td>30.0</td>\n",
       "      <td>410.8</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-03-10 18:00:00+08:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.17</td>\n",
       "      <td>10.09</td>\n",
       "      <td>332.06</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>CLEAR_DAY</td>\n",
       "      <td>101347.2</td>\n",
       "      <td>30.0</td>\n",
       "      <td>330.8</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-10 19:00:00+08:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.81</td>\n",
       "      <td>357.53</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.79</td>\n",
       "      <td>PARTLY_CLOUDY_NIGHT</td>\n",
       "      <td>101347.2</td>\n",
       "      <td>30.0</td>\n",
       "      <td>260.8</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-03-10 20:00:00+08:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.90</td>\n",
       "      <td>1.00</td>\n",
       "      <td>96.16</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.67</td>\n",
       "      <td>PARTLY_CLOUDY_NIGHT</td>\n",
       "      <td>101347.2</td>\n",
       "      <td>30.0</td>\n",
       "      <td>220.8</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-03-10 21:00:00+08:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.67</td>\n",
       "      <td>5.73</td>\n",
       "      <td>184.78</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.00</td>\n",
       "      <td>CLEAR_NIGHT</td>\n",
       "      <td>101427.2</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   datetime  precipitation  temperature  speed  direction  \\\n",
       "0 2020-03-10 17:00:00+08:00            0.0        11.00  12.60       0.00   \n",
       "1 2020-03-10 18:00:00+08:00            0.0         8.17  10.09     332.06   \n",
       "2 2020-03-10 19:00:00+08:00            0.0         6.33   6.81     357.53   \n",
       "3 2020-03-10 20:00:00+08:00            0.0         4.90   1.00      96.16   \n",
       "4 2020-03-10 21:00:00+08:00            0.0         3.67   5.73     184.78   \n",
       "\n",
       "   humidity  cloudrate               skycon  pressure  visibility  dswrf  \\\n",
       "0      0.10       0.00            CLEAR_DAY  101347.2        30.0  410.8   \n",
       "1      0.13       0.00            CLEAR_DAY  101347.2        30.0  330.8   \n",
       "2      0.14       0.79  PARTLY_CLOUDY_NIGHT  101347.2        30.0  260.8   \n",
       "3      0.16       0.67  PARTLY_CLOUDY_NIGHT  101347.2        30.0  220.8   \n",
       "4      0.19       0.00          CLEAR_NIGHT  101427.2        30.0    0.0   \n",
       "\n",
       "   air_quality  pm25  \n",
       "0           24     6  \n",
       "1            7     5  \n",
       "2            9     6  \n",
       "3           11     8  \n",
       "4           16    11  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['hourly'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2020-03-10 17:00 CST'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['hourly']['datetime'].min().strftime(\"%Y-%m-%d %H:%M %Z\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ql6ObM2cOli9frq5w9dadO3dQtWpVXYfxn1elShUcO3YMLVq0QHR0ND5+/AhPT0/xfN26dbF+/foc22jXrh0OHz6sUn82NjYq1duwYQMGDBggHrdq1SrLpYUDAwMRHx8PIP1vZM2aNSXnGzdurFJ/APD48WP07t1b5foAYGxsLNnbkYiIiOi/igkzIiIiIsq3+vXro1u3buISUmPHjsXVq1cly+4NHjwY8+fPx7NnzxAfH485c+Zg5cqV4vmwsDCcPn1aPF68eDFu3LiBWbNmYe/evRAEQdLnoEGDsGzZsi9iXx99kTlhZmRkpPH+VqxYIZlx0bZtWzg7O8PDwwNz587VeP8ZGjRogAsXLuTr2qwSZe/evcPmzZuxZs0a3L17V3LOyMgIU6dOxfTp0yGXy7Ft2zb88MMPSEtLw4cPHzBkyBCEhoZKromPj0fv3r0RHBwslhkaGmLlypX49ddf8xW3tmzatEly/NNPPxWovW+//VYyg3Tt2rUYM2YMvv322wK1q8+2bduGPn36YNiwYVi0aFGWP3M5kcvlSE1NLXAcffr0kcwGza9Hjx7h3LlzWZ7LvIzihQsX8vRaL126JD5PS0vLca80c3NzdO7cOctzNWrUwNGjR9GqVSvJ8oklS5bE3r17UbRoUZVj0pRff/01y9/9sLAwMWHm6uoKd3f3fPdRt27dPNU3NDSEr6/vf/p3kYiIiCgDE2ZEREREVCDe3t7Yu3cvkpOTcf36daxfv15yw8/IyAhjx47F2LFjAaTvXzN+/Hh8++23SEtLw+TJk8W6Li4uaNKkCZydnRESEiLpp3z58vDx8UHHjh1zjCc1NVWr+3R9CVJSUsTnmk6YPX/+XDJzw9jYGD4+PhrtU9Nu3boFb29vBAUFZbl/UsOGDeHr6yuZ9WFvbw8bGxtERUUBAA4ePIiQkBDx5/f169dwdnaW7HNlZWWFXbt2oU2bNhp+RQVz//59SWKkfPnyaN68eYHaLFasGMaMGYPZs2cDSN9PzMPDA9u2bStQu3lRvnx5pQR9XmSegdS8eXOcPHky27rh4eH45ZdfIAgCVq5ciTNnzmDnzp3ZLv/5JTh9+jTc3Nxyrefn5wc/P7989ZGSkpLjcqTlypXLNmEGAN9//z2Cg4Ph5OSEpKQkAOmJ63///VevZ3Sq0zfffANbW9tclwYtXrw42rRpg4kTJ6JOnTpaio6IiIhIt/R7x20iIiIi0nv29vYYNGiQeDx9+nR8/PhRUmfw4MEoVqwYAMDCwgJ37twBAAQEBOD69esA0vckmz9/vlhub28vlk+bNg23b9/ONVn25MkTVKlSRWkvtcIu48YwoNmEmUKhQK9evRATEyOWubu7o1KlSgDSx9LMzExrD3XNQjQ3N8eBAweUkmWlS5eGn58fzp49K0mWPXv2DC1bthSTZRkmT54MQRBw8+ZNNGjQQJIss7e3x9mzZ/U+WQYA/v7+kuN+/fqpZbnNcePGwdraWjzevn07rl27VuB29dHr168l+wlev34djo6O2L17tw6jKhyaNWuGDRs2iD+zcXFxGDx4sGSvx9wsXLgQgiDk69GgQQNNvTSVPXnyBG/fvsWbN2/w6tUrvHjxAk+fPsWTJ0/w9OlTvHv3Dm/fvsX27duZLCMiIqJChV+9JSIiIqICmzp1Kvz8/JCUlIQ3b95gy5YtGDZsmHjezMwMEydORHx8PNzd3WFpaYm4uDhMmTJFrJN5+TVra2vs2LEDs2fPxpIlS8SES07ev38PZ2dnPHr0CF27dsWkSZMwd+5cyU3pwipzokeTs+9mzZol2W+uatWq8PDwEI8z9gXTB6mpqZKEVVa+++47mJubo1y5cvDy8sKoUaMApM+8GD9+PMaOHau0jNuLFy/QqlUrPHnyRKm9W7duYcyYMdi4caMkqdyhQwcEBASgePHiBX9hGqZQKJSWY+zXr59a2rayssK4cePEPQ0FQcCUKVMQFhamlvb1iaurKypVqoROnTrh2bNnAIDY2Fi4urpi/PjxmD9//hf32eXg4IBp06Zlee6PP/7Ap0+fAAA//vhjnvafvHPnDoKCggCkL0OZeVby5zK+mJGbnj174unTp5gyZQocHBwQGhoqWUo4vyIiIsTP24oVK8LW1rbAbWpCxpcKiIiIiEiKCTMiIiIiKrDSpUtj8ODBCAkJwYIFC+Dq6qpU5/ObnB8+fEC9evWwf/9+2NnZKd1orVevHg4cOKBS/7GxsWjXrh1u3rwplv39999QKBSQy+V4//49Hj58mI9Xpn21atWCsbExIiMjJUsp5ldaWpokYSYIAl68eFHgdjOUKFECJiYmOHXqlGR/MkNDQwQEBOjFvkBZ+fDhAxo1apRjnfPnz6Nhw4YA0mdJBgQEoFevXhg8eHCWN5tPnjyJXr164dWrV2JZp06d8ODBA9y6dQsAsHz5cvGcgYEBPD09MX36dLXM0NKGkJAQyetr0qQJKlSooLb2x4wZg6VLl4p7TB0+fBjh4eFo2rSp2vrIi/v376uUsM+P77//Hn/99Rc6d+4s2Wtv8eLFiIiIwI4dO2BjY5Pt9QqFQjIjL78y9sYqqNq1a6N27dpZnlu/fr2YMOvcubNkVnJudu/eLSbMDA0N4eXlpdJ1Q4cOxdq1a3Otd/36dZQpUybb8ydOnECLFi1U6tPFxUX8WxMQEIA+ffqodB0RERER6QcmzIiIiIhILebMmYOFCxeiSJEikvILFy5g/fr1AICSJUti3rx5AIAyZcpg3759uHr1KqKiomBhYZGvfqOiotC+fXtcuXJFLGvVqhX27NkDY2NjAMCxY8eyTOLpo8ePH4t7Qt29e1ft7d+5c0ete/Vk3Ez28PCQLGnm6ekJR0dHtfWja0WKFMFff/2V5bm0tDTMnTsXs2bNgkKhEMt/+eUX+Pr6YufOnejVq5fkGhsbG2zbtg1OTk4ajVvdVq9eLTnOS+JDFRYWFhg1ahRmzZollk2bNg2nT59Waz+5uXTpEmbMmIHDhw/j2rVrcHBw0Eg/dnZ2OHHiBPr27StZjvHYsWPo2LEjzp8/n+P1mZc/Jcrs8y9LqIOhoSH3CCUiIqL/NO5hRkRERERqYW1trZQsA4AHDx7Az88Pfn5+2Llzp9L5OnXqoG3btvnq886dO/jf//4nSZY1adIE+/fvzzIW0pwff/xRfN6iRQtMnDgRiYmJOnlkTlpp2tWrV9GyZUvMmDFD0u+kSZPg5+cHuVwOV1dX2NnZiedMTU1x5syZLy5Z9vDhQxw5ckQ8Ll68OLp37672fkaPHi1JoIeHh+d5WcaYmBjIZLIcH2/fvs3y2nv37qF+/foICwsTl4XUpCJFimDnzp0YP368WGZmZoYVK1ZotF9SzZcw+zOrxGlgYCCKFi2q1oeqs/uIiIiIvlT8ahARERERfZGCg4PRv39/yV5Qbdq0QVBQEPdm0YE+ffpg6tSpKFu2LHbu3Ilt27bBzc1NJ7EsXboUY8aMybGOra0tBEGQlD158gT29vYq9fH06VNMmzYN27Ztk7RTvHhxrFu3Dl27dhXLDA0N0bRpU3EGUXx8PDp16oTNmzejQYMGqr4snVu1apXktbq5uWkkMV2sWDH89ttvWLBggVjm4eGBdu3aqb2vrFSuXBnt2rUTk3SHDh3C6dOn0axZM431KZPJsGjRInzzzTeYMGECduzYgbp16+Z4jVwuR2pqaoH77tOnD7Zu3VrgdlR15MgRfPjwQeX6N27cyFc/y5Ytw6JFi7I8N2bMGPj5+QEAfv75Z2zcuFE89/LlS1StWlU8zthbU58IgoCLFy8iKCgIQUFBcHV1xfz583UdFhEREdEXjwkzIiIiIsq3iIiIXJd8yrx3WFJSkmSvnqxYWlqievXq2Z5PSEiAu7s7Vq1aJSkfOnQofHx8slwuysXFRSk5oqqoqChUr14d0dHRYlmXLl2wZ8+efLWnquDgYLUspzVnzhylWPv3759rQklVFStWBJC+xGarVq2wcOFClChRQi1t66OMJUa3bNmCpKQkyblmzZph69atSvsh/fHHH5Ll9oD0WUyNGzfG5MmT4enpCSMjI43HXhBxcXFiggFIT/AMHTpUY/2NHz8ePj4+SEhIAABcuXIFe/fuRZcuXTTWZ2YzZsyQzGqbNm0awsPDNd7vqFGj0LlzZ3zzzTca7yuDsbExTExMAEArP4e7du3Crl27NN6PiYmJ+Lo+l/nvhKGhIczNzcXja9euic/Lli2r1iVs1WHr1q1YunQp/v33X7FMHYlTVXwJs+2IiIiICoIJMyIiIiLKNxcXF0lCLDcvXrxAo0aNcqzTvHlznDx5Mstzp0+fxuDBg3Hv3j2xzMDAAIsWLcLYsWNVjiMvRowYIUmWlSpVCr6+vhrpK7PMMxwKIvPN3wynT5/Ghg0b1H7zc8+ePbC0tFRrm/ogNTUVy5cvh5+fH27fvq10vkSJEpg1axaGDBkCAwPpqveLFy+Gu7t7lu0qFArMnTsXoaGhCAgIwHfffaeR+NVh06ZNkmXfnJycxGSpJpQsWRKDBg2Cj4+PWDZr1ix07txZpZ9bCwsL/P333znWqVOnDt6/f5/luUaNGqF169Y4duwYAODMmTMICwvTyiy3nJJlDRs2zHfyPzv+/v7w9/fP83UpKSnic7lcrs6QdCpjzAGgdevWOowEePXqFQ4fPiyZSR0REaFU79OnT0plvXv3xpYtWwCkf6Fk7dq1AID58+dj4sSJKvUfERGB2rVri8ea2suPiIiISF8wYUZEREREei8yMhLTpk2Dv7+/5GZxqVKlsHHjxnzvgZabPXv2KO275ufnB1tbW430p263b9/G48ePlcofP36MM2fOoGnTpmrtL3OybMCAARgwYIBa289OYmIiihYtqrH2DQ0NcfXqVaVkmbGxMUaNGgUPDw9YWVlJzgmCAHd3dyxZsiTX9iMiIuDo6IjZs2fD3d1dKemma2lpaVi6dKmkbNiwYRrvd9y4cVi1apW4N9z169exd+9eyXKX2TEwMED58uVzrZOTKVOmSJIn06dP19qykF+CzDMss5vJlZWhQ4fmKRF14cIFLF68OE+xFcTRo0fF53ndZzDzrOCsZjvnJiUlBefOnUNYWBjCwsJw/fr1HBOk1atXR9euXdG7d+8c223fvr2YMNu/f7/KCbPMf/8sLCz4809ERET/eUyYEREREZHeSkhIwPLlyzFv3jzJN+wBoFOnTli/fr3Gklfv3r1TSgoMHToUHTp00Eh/mhAYGCg5rlGjBm7dugUgPfGn7oSZrmhjmbBVq1bhyJEjiIqKgrW1NQYNGoSRI0dmORsoLi4OAwYMQFBQkFhmb28PBwcHBAcHAwAqVKiAOnXqiEvTJSUlYdKkSTh48CC2bNmitKyjLu3evVsyk7Ry5cro2LGjxvstX748XF1dsX37drFs9uzZ6NKli1bGvHXr1qhXrx4uXboEALh8+TJCQkK08tqzEh8fj7S0NK30VbRo0VxnjWVODuWWMPv666/FBFKzZs3g4uKiciyWlpYICQlRqZ+Cunr1Kp4+fQogPeGV1wRR5r9Ted3f7+HDh6hduzZiY2NzrFe1alUMGDAAXbp0QeXKlVVqu3Xr1jA2NkZycjLOnz+PqKgolZbOzZwwc3Z21siehURERET6RL++ukhEREREX5QHDx5AEIRsH5/vnVWhQoUc6wuCIC7HuGbNGlSoUAGTJ0+W3IQ0MzODr68vgoODNTrTa9SoUYiMjBSPq1SpotIsh0uXLsHFxUWyfJ0ufPr0SbLPW7Vq1bBw4ULxeOvWrXjw4IEuQlO7z2cKZcxIUidLS0ssWrQIK1euxIsXL7Bw4cIsk2V3795F/fr1JcmyunXr4vz58/jhhx/EsujoaOzcuROLFy+WzEQ5deoUatWqJble1xYsWCA5Hj9+vNZmwX0+EyZjlpm2fN7/rFmzNNZXXFxcjj+71atXh4WFhVYequzXlnkZwNwSWVevXsWLFy/w4sUL9OzZU/U3BemzvO7cuYM7d+7g+vXrebo2rzIniJo0aYJixYqpfK0gCIiLixOPTU1N89S3ra1tlskyQ0NDSfJy4MCBmDRpksrJMgAwNzdHs2bNAKTPGN28eXOu14SFhUkS5T169FC5P5KBCFQAACAASURBVCIiIqIvFRNmRERERKQRCQkJGDduXL6vf/nyJV69eiUp69y5M27evInBgwfneO3Fixez3GtKVQcOHMDWrVvFY2NjYwQGBuZ4AzQpKQmTJ09Go0aNEBQUhK5du0r2+NG29evX4927d+Jxr1690LZtW5QrVw5A+r5cnp6eugpPrT5f+kwTCTMA6NevH4YNGwYzM7Msz69atQp16tTBP//8I5a1a9cOJ0+ehJ2dnWTWWExMDOLi4jBu3DgcP34cpUqVEs+9f/8eLi4u+PXXXxEfH6+R16KqgwcP4sqVK+KxnZ0d+vXrp7X+a9eurbR83+zZs9W+j1d2unTpIlna8fLlywgLC9NIX2vXrkXZsmXh7u6e6/5r+iAqKkp8bm1trcNI1Cc2Nlb8nHd1dc3TtVFRUZKfy6+++ipP11tZWYlLuxYpUgQdO3aEv78/IiMjJZ8P+ZV5idxly5YhNTU1x/pz584Vn1euXBk//vhjgWMgIiIi0ndMmBERERGRRnh7e+PJkyf5vt7T0xOOjo4A0mdHHT16FHv37s11X6JXr16hS5cu+N///oc///wzz/1GRkZiyJAhkrL58+ejdu3aOV4XHx+PvXv3isma48ePY+DAgXnuXx3evXsHb29v8djIyAj9+vWDgYEBhg4dKpZv374dV69e1UWIaiWTySQzMDLvraQNDx48gJOTE4YPHy5JcI0YMQIHDhyAubk5AOkeb8D/z9Bp2rQprl69isaNG0vOr1u3DnXr1kVERISGX0H25syZIzkeOXKk1pdly2qW2YEDB7TSt1wux6hRoyRl8+bN00hff/31F169eoXFixfDwcEBd+/e1Ug/6pCYmCiZYZaxvF90dDRkMpnWHuqeJbty5UpER0djx44deVo2EoDS72l+llUdNmwYtm/fjqioKBw4cABubm4oXrx4ntvJiqurK0qWLAkAeP78OXbs2JFt3RMnTuDMmTPi8YQJE/Rub0UiIiIiTeD/8RARERGR2v3zzz+S5f8+N3XqVJw9ezbHNgwNDeHv748lS5bg77//lixnl53ExES4urri1atXiImJQfv27XH06FGV41YoFOjRo4dkZluHDh0wevToXK8tVqwYQkNDJTc3AwIC4OHhoXL/6jJmzBjJcpJubm7i8oEjR46EnZ0dgPSlufr27SvZi+hLlZGUAiBZFk2T4uLiMH36dHz33XeSnzNbW1vs378fPj4+ktlvn89QTEhIEJ9/9dVXWSZZ79y5o7OZgAcPHsSFCxfEYzMzM/z2229aj8PJyQk1a9aUlHl5eWmtfzc3N3Hs2rZtq9LSrPnx119/ic9LlCiBKlWqZFvXx8dHaTnb0qVLi+d37dqldD5zUjk8PFxyLrd9sz73+exfTS6Pq21FixZFt27dxOSSqjInzL766qs8LeeYYd68eejevbvk80xdjI2NJZ8vU6ZMyfKzMjk5GSNGjBCPv/76a63OKiUiIiLSJSbMiIiIiEit4uPj4erqKiZhqlevLjnv4+MDb29vtGjRAgsXLsxxabWaNWti7NixSkvuZSU1NRXdunWTJOJq166NJk2aqBz7lClTxD3UgPQbhRs3boRMJlPp+ooVK2LPnj0wNjYWy+bOnYv169erHENBHTx4EAEBAeKxsbExpk2bJh6bmZlh+vTp4vHt27cxadIkrcWnKRYWFuLzzHveaUJ8fDwWLVoEe3t7eHl5SWa0OTk54caNG3B2dla67vOkxOcJNGNjY6xfvx7Lli0Tf+YrVqyITZs2aeBV5EwQBEydOlVSNnToULXNdsmrMWPGSI4vXbqEI0eOaKVva2treHl54eTJkwgLC0O9evXU3kdUVJRkRm7GflP6KvPeVsD/z6aSy+WoUKGC+Pg8kVamTBnJ+bw8bGxslOIwMjLS3IvMo8x/O+rWrau7QHIwatQoMRn3/PlzzJgxQ6nO7NmzJUsae3t7S/6mEREREf2XMWFGRERERGo1bNgw3Lp1CwBQq1YtuLu7i+fi4+PFpQJTU1MxceJEdO7cGe/fvy9QnwqFAv369ZMs01a6dGkEBwejaNGiKrURHBwsmRVnaGiIHTt2iEuNqap58+ZYu3atpOy3337T2L5Hmd2+fRu9evWSlLm7u4uzyzL8+uuvqFatmnjs4+OT4/JcX4LMN9Mz762kTi9evMCUKVNQtmxZTJgwAdHR0eI5W1tbrF69GmFhYdnuN5R5bzOZTJbtvk+jRo1CWFgYypcvj3379ulkf6itW7fi+vXr4rGpqanS0oja1Lt3b6UZP9qcZTZ27Fg0b95cY+2fP39ecqzvCbPPl0KsVKkSgPSZtg8ePBAfN2/exNdffy3Wq1KlCm7cuCGpo8ojKChIKWmzcOFCcU9GXYuMjJTMMm3VqpUOo8leqVKlJInw5cuX49SpU+JxeHg45s+fLx7/8MMPnF1GREREhQoTZkRERESkNuvXrxdnwxgaGmLDhg2SGQCmpqY4d+6cZHm1/fv3o06dOrhy5Uq++kxISMDPP/+MwMBAsczW1haHDx+W3KjNyf379zFgwABJ2e+//56n2WmZDRgwQJJcSE1NhaurK65du5av9lTx+vVrdOjQATExMWJZzZo1s1zOz8jICJs3bxZnMQmCgL59++Lw4cMai0/TMpaZBCBZjjLDihUrcOjQoXwtP7l9+3Y4OTmhXLly+P333/Hu3TvxnJGREcaOHYv79+9j6NChOc5GDAoKEp9XrVo1x1kbrVu3xr1795RmaGpDQkKC0uyy4cOH53mJOnUyMTFRWg4yPDwcp0+f1lFE6hUeHi451veEWcaXIgCgePHi2c48tLOzw86dO8W/A8eOHUPHjh3zNAv08OHDaN68uWQZyIULF0q+jKFrmzdvRmpqqnjcpk0bHUaTs3HjxsHe3h5A+pdNfv75Zzx69AgPHjxAly5dxNdRpEgRrFmzRpehEhEREWkdE2ZEREREpBb79++X3NCeNWsW6tSpo1SvfPnyOHfuHDp16iSWPXnyBI0bN4avr2+e+nz79i2cnJywb98+scza2hpHjhxBjRo1VGojPj4eP//8syTR1KVLF4wfPz5PsXzO29sb7dq1E4/j4uLw448/4sWLFwVqNyuvXr1C27Zt8fTpU7HM2NgYmzZtyjYp4+joKFmaMSUlBV27dv1iExCZk6OPHz9WOr9mzRp06NABNjY2edrXDgDu3buHo0ePIi0tTSyTyWTo1KkTbt68iSVLluQ6C2zjxo2SmRwtWrTItV9dLTf3559/4t9//xWPzc3NdTq7LMOwYcNgYmICIP29cXNzE5cC/NJl/r2ztrZGrVq1dBhN7jLvt5ZbUrdx48bYvHkzDAzSbz8cP34cjRo1wqNHj3K8Li0tDbNmzZJ8EcDIyAgbNmzQq2TZmzdvMG/ePEmZi4uLZP8/fWJiYgI/Pz9xT7u3b9/C2dkZP/74I96+fSvWW7FiBSpUqKCrMImIiIh0IvfNIIiIiIiIcnHy5El0795d/GZ6u3btMGXKlGzrm5ubY+/evfDw8BBvNCYlJWHIkCE4e/YsVq9erbS/0+cuX74MFxcXSZKoRIkSOHjwIGrXrq1S3Bmz027cuCGWVatWDRs3blTp+pwYGBggMDAQ9evXx/379wGkJ7Y6d+6M8PBwlZeKzM29e/fQtm1byf5HAODv75/r+zB16lScO3dOnFkWHx+PNm3awNfXF/3791dLfNqS+cbuv//+i4SEBMl7nDErLD4+Ps9tT5kyBZs3b8bDhw9RpEgR9O3bF+PGjUPVqlXFOj4+PjA2NkbZsmVhY2MDMzMzyOVyPHv2DDt27FDah2zIkCF5jkNbnJ2dcevWLUybNg1BQUEYMWKE0l5UulCyZEkMHjwYhoaGGD9+fI7JMoVCkWvCIvOMIF369OkTrl69Kh43btxYTC7po6SkJMlynQ0aNMj1mh49euDTp08YPHgwBEHA7du34ejoiDVr1qBbt25K9e/cuYOBAwfi3LlzYlmxYsWwe/dunS13uGrVKnFmXOnSpcXyMWPG4MOHD5K6d+/eRZMmTTB+/HjMnj1bTPQCQEBAAD59+gQASsvlakvLli0xb948cf/KzHuWAelLkA4cOFAXoRERERHpFBNmRERERFQgFy5cwE8//SQudVe2bFls2bIlx6XpgPQZOnPnzoW9vT2GDh0KhUIBIH1pKycnJ/Tu3Tvba1evXo2xY8ciKSlJLLO3t8fhw4fFvXRyExsbC2dnZ8msn2LFimH//v2wtLRUqY3cWFtbY9++fWjYsKF4o/XKlSv45ZdfJEtI5tepU6fg4uIi2UsLAObMmZPj+5fB0NAQu3fvRrNmzcTlIpOTkzFgwADcvHkT3t7e4rKN+q5y5cric0EQcOPGDdSvXx9A+kyVzPuaZZf8uXfvnuQ446a2kZERvL298c8//2DYsGFZXn/06FHJHno5GTFiBBwcHFSqm52LFy8iICAg2/OZl40EgC1btuDy5ctZ1rWxscGsWbMkZVWqVMHu3btx/PjxAseqTj4+PirVi4uLQ6NGjTQcjXqcP39ekrzT9+UYT5w4IfnsVSVhBgADBw6ElZUV+vbti8TERLx//x7du3dHcHAwFi9ejK+++gqfPn3CggULMH/+fKU+duzYodM9y7799lulsvnz50s+y7/55hu8fPkSCoUCCoUCCxYsQGhoKLZs2YLvv/8eAFT+G6VpEydOxPHjx5WW4m3RooVkP08iIiKiwuTL+NcvEREREemlAwcOoEePHuKsHQsLCxw4cAA2NjYqtzFo0CB89dVX6NatG+Lj49G3b99skz3Pnz/HwIEDlZbUa9SoEfbs2YNSpUqp1OfevXsxZswYPHv2TCyTy+XYsWMHKlasCEEQkJycjKSkpCwfiYmJWT4SEhLE/yYkJCA+Ph7x8fEoW7asZM+f7du347vvvsO0adNUfp8yS01NxcyZM+Ht7S1ZJhBIn+3g4eGhclvm5uY4ePAgmjZtigcPHojlixYtwp9//ol169bB0dExX3FqU8bN6AyXLl0SE2ZRUVGShESJEiWUrg8ODkavXr0kZZMmTRJnA7q6uubavyoJswEDBmDx4sW51svNP//8g5UrV6pc/9ixYzh27FiW58qVK6eUMMugq9k8hcnnn2f6njALDQ0VnxsYGOQpXhcXF5QuXRouLi7isp+BgYEICQmBm5sbdu3aJdmrTC6XY/z48fDy8tLZEqXZWbBgASZPniwem5ub49ixY/j333/Rq1cvvHz5EkD6fm8NGjTAzJkzMWnSJL2ZPbhy5UqcOHFCqfzixYvw9fVV2jOQiIiIqDBgwoyIiIiI8mXt2rUYPny4ODPM0NAQu3btytdslB9//BEnTpzAtGnTsHbtWqXzCoUCq1evxrRp08SZWhl+++03/PHHH9nu1fU5Hx8fjBo1SqlcEAR06dIFycnJSElJyfNryKvp06fju+++k+zlpoo7d+5gwIABuHjxotK5OXPm5ClZlqFUqVI4c+YM2rdvL840A4CIiAg0bNgQI0eOxIwZM1CsWLE8t60tFStWhJWVlbjX0fHjxzF8+HAA0j3NihQpItnvDEjfq2f06NFKyccrV66gU6dO2L17d66zDj9P2GVmbW2N5s2bY+TIkWjdunWeXtd/gTZ+n/RBxmdhXmVOmJmamqJu3brqCkntUlJSsHPnTvG4QYMGsLOzy1MbjRo1wt9//41BgwYhODgYQPqM3+XLl0vqOTg4wM/PT+/ej4SEBAwfPhwbNmwQy4yNjREUFISKFSuiYsWKuH79Ovr37y8mF5OTkzF16lQcPHgQW7du1dlSjAAQHR2NoUOHIigoKMvzCQkJGDZsGEJDQ+Hj4wN7e3stR0hERESkO/rx1SYiIiIi+qJERERIkmUymQzr1q1D27Zt891m/fr1cfToUaW9vf788084ODhg5MiRkmSZlZUVtmzZglWrVqmcLAPSk3NZfcM/LS0Nnz590trNfUEQ0KdPH9y8eVOl+jExMRg3bhxq1aqllCwzMjKCr69vvpJlGezs7HDq1CmlhI5CocAff/yBcuXKYdKkSYiMjMx3H5pkYGCAFi1aiMeHDx8WZz4+fPhQLK9cubI4/oIgYMqUKRg5cqSYLDM0NJTsL3b06FHUqVMH+/fvz7H/rl27IikpCVFRUXj69Cnu37+P+/fvIyoqCu/evUNwcHChTJYBUPoZ18Yyn1ZWVhAEIcdHXmbCqiLzPoKqzoaKjo5GRESEeNywYUO9m0mV2b59+/DmzRvxOK8JfyD99+7WrVsoVqxYjrOtqlatisjISI3sNff+/ft8XffXX3+hbt26kmSZgYEBtm7dCicnJ7HMxsYGBw4cwOLFiyXjeebMGTg4OGDXrl156ldd70FwcDC+++47SbLMwMAAv//+O2bPni0Zj9DQUFSvXh3Tp08Xv4hARERE9F/HGWZERERElGcZy89169YNnz59wrp16zBgwAC19nHhwgXMnDlTaX8VIH2ZuI0bN6Js2bJ5bvfbb7+Fs7Mz9u3bl+/YihYtCjMzM5ibm8PMzEzpUbRoUZiamsLU1FQ8znh4enqKS47FxcXhp59+wqVLl7K9eZ+cnAx/f3/MmDFDsg9XhvLly2P79u0q7yOUEwsLCxw+fBizZs3CvHnzJDNmYmNjsWDBAixfvhw9e/ZEnz590KJFC71ZXgxIT4ZmjOunT5+wbds2DBo0SLIcZrVq1QCkz5T55ZdfsGXLFvGckZERdu3ahU6dOsHc3FxcOvHhw4fo1KkTKleujG7duqFp06aoVq0avv76a8jlcvF6Y2PjbPdHU8Xny4AmJiYiKSkJJiYmqFChgqTugAED1P47lx8vX76Era0tTExMsjwfEBCgtFRl8eLFtRGaVh05ckSypKmqybijR49CEATxOGN5w9TUVLx48UJSN3PS5N27d5IEHSCd4RYVFaV0PrPXr19Lzmckl7M6X6xYMVhZWQFIX4Ywg6GhIfr27Zv9i8tEEARcvnwZ+/fvx7Zt2/Do0aNcr9mxYwd27NgBW1tbdOrUCT/88ANatWqFkiVLqtRndpKSknD+/HnxuEiRIrle8+bNG3h6esLX11cyE9XCwgJbt26Fs7Oz0jUymQzjxo1D06ZN0aNHD/E1f/jwAd26dcPAgQPh4+Oj9CWRz71+/VqSpMxPwvnZs2cYNWqU0t+94sWLY9u2beKXXerWrYu+ffuKeyAmJibCy8sLPj4+GDZsGEaPHp3nGYVEREREXxImzIiIiIgoX9q3b4/jx4/j1q1bar1xf/bsWcydOxeHDh1SOmdjYwNvb28MGjQIMpks332MGTMG+/btg5mZGapXr44qVarA1tYW1tbWsLa2hqWlJSwtLWFlZQULCwtYWFjA0tISFhYWMDc3lyRJ8qpSpUr44YcfxJvbjx8/houLC44cOSKZiRAXF4e1a9diyZIl4l4/n+vSpQv8/f1hbW2d73g+J5fLMXv2bLRp0wZ9+vSR7PMGpN9A3bBhAzZs2ICvv/4aU6dOFZc+1LWuXbti+PDh4izBuXPnokOHDpKETfXq1QGkJyoyJ8vkcjm2bdsmzphZtGgRihYtirlz54oJjXv37sHLy0vSZ9GiRWFsbAwjIyMYGhrC0NAw2+cKhUIpGZb5kTlxktmUKVMwb9489b1RatSqVSvcu3cPFhYWKF68OCwtLWFqagpBEPD06VOlGYkymUzvltjLzYQJExAdHS2+PgsLC5iamsLY2BiJiYn4+++/JTOOAKBOnToqtf15MjEjYfbixYscl8Lz9PSEp6dntueHDRuWY7+57cnXs2dP8bm3tzcmT56M3bt349KlS2L5Tz/9pLS8aWYvXrxAeHg4jh07htDQULx+/TrLel999RV+++03dOnSBYGBgVi7di3evn0rno+Ojoafnx/8/Pwgk8lQo0YN1KtXD99//z0cHBxQq1atLJeLjYiIwJEjR2BlZSV+nsfExGDdunV4/vy5WK9MmTLZvobo6GgsXboUy5cvR1xcnORcxYoVsW/fPvEzJTv16tXDlStX0KtXL8nfNT8/P1y8eBG7du1C1apVAaTv53bp0iXY2trCwsICycnJCAgIkHw25CVhGB8fj0WLFmHBggX49OmT5FzTpk2xdetWyRdPOnTogJs3b2LQoEE4ePCgWB4TEwNvb28sWrQIHTt2xC+//IKOHTuqHAcRERHRF0MgIiIiItKggIAAAYAAQKhQoUKWdZKTk4WAgADB0dFRrJv5YWBgIAwePFiIjo5WW1yXL18WUlJS1NZeXsyaNUvy+pycnIR3796J5+/evSsUK1Ysy/cCgFC6dGlh165dGo8zLi5O8PDwEIoUKZJlHNbW1sKdO3c0Hkde9O3bVxKjTCaTHJ8+fVoQBEFIS0sTatSoIZavW7cuy/ZOnjwp1KtXL9ux0Mbjxo0b2nwL88TV1TVPr8XFxUVjsXh6eor9WFlZ5Vp/0qRJwvDhw4Xhw4cLoaGh2db75Zdf8vQajYyMhGfPnuXaf0pKiuT33MjISPj06ZMgCILw+PFjnf7MZX54e3sLb9++Fb7++mtJ+ZkzZ8TXEhUVJRw7dkxYunSp0KdPH6F8+fK5ttugQQNh06ZNQlJSkuR9iY+PF9asWZPt34PsPotq1aolODs7C3v37hUEQRDCw8NVuvbs2bNKY3P37l1h6NChgqmpqVJ9mUwmDBkyRIiJicl1jDNTKBTCpEmTlNozMzMTrly5IgiCIPzxxx85xiqTyYQnT55k20fz5s3Fuk5OTkLp0qWz/PmcPXu2kJqammO8GzZsEEqWLJllHBMmTMjTayciIiL6UjBhRkREREQapUrCLDw8XJDL5VnemPvpp5/0OmGQHwqFQmjdurUgl8sFLy8vIS0tTanO2LFjld4LQ0NDYdy4cUJsbKxW433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llWXO/frrr4dun5GRUex738+ePbvQF77XD7mDs99www3FPvbxxx8fWjtkyJAyZy+td999t1Trfvjhh0L7t3r16kL1X3/91fOEtSJONmO5L5HcNz/3K5Z7ckCk97E0LrjggtB99OvX75DuY+nSpYWe7Bb3xPDLL78slHvBggVhawYMGBCqDx48uNjHPuecc0Jru3btekj5SxLpvhycediwYRWSuSJyB+2YidT+TZ06NXR9kyZNbF5eXrGP26VLl1I/R/AS68dLJJ+PLVq0qNRvG3Pw97KiTkiKE+vHSyT7Yq1/J5ux3hdrOYfxyh6U3nAOE6y+cA7jf/bS4hxmv6A9J+McZr+gHTOcw+wXtOOFc5j9gna8cA6zX1D64giVTmpqqurVqxeR+9q5c2dou0aNGsWurVatWmjbGFPmx5o9e3Zoe+DAgapevXqRa/v27avatWuHLs+dO7dQfc2aNfriiy9CWUaMGFHsYw8dOjS0PW/ePFlry5S9tHr27FmqdS1atFBmZmbo8vr16wvVGzdurISEhIhmK0os9yVS++b3fsVyTw6I5D6W1uGHHx7aPtT9Ojh39+7d1aJFiyLXtmnTRm3btg1d/mPunJwczZs3L3T50ksvLfaxD+7NwoULtWPHjlLnLq1I9uXbb7/Vq6++KkmqWbOmpkyZEuG0v4v1YyZS+/fee++Fts8991wlJiYW+7jDhw8Pbb/yyitlyizF/vESyedjHTp0UJUqVUq1tn379qHtPz5/KI1YP14i2Rc/xXpfJM5hpOD2hnOYYPWFc5jg9eQAzmGC+ZyMc5hgHjOcwwTzeOEcJpjHC+cwweoLA7M416hRo9D2t99+W+zab775JrTdunXrsPqzzz6r+vXrq169enr22WfD6nPmzAltn3baacU+VmJiorp27Rq6/OGHHxZ5X0cddVShJ5FeevXqFdr+7bfftHz58mLX++HgHyoV9YReiu++RGrfIr1f8dwTr1zl3cfS2r59e2i7WbNmnmveeecdNW/eXFlZWbr77rvD6mXJLRX+//xj7g8//FC7d++WJGVkZKhz587F3lePHj3kOPt/bOfl5WnhwoUlPn5ZRbIvTz/9dGh7+PDhqlmz5iHnivdjJlL7t3r16tD2kUceWeLjdujQIbT9zTffKDc3t1A93o+XaCnp+UO8Hy9BRV8ii3OY6OEchnOYeOyJVy7OYYLznIxzmGAeM5zDBPN4iRbOYSqneO0LA7M4179//9D2008/XeSU/9VXX9X3338vSUpJSdGAAQMK1ffs2aNhw4Zp/fr12rBhgy6++GLt3bs3VN+8ebPWrVsXunzwD7CinHTSSaHtP37Rf/XVV2W6r6OPPrrQN+dof3PLy8vT5s2bQ5cbN25cIY8Tz32J5L5Fcr/iuScHRHofSyM/P7/QX68c/L3vYMOGDdPPP/+srVu3asyYMfrpp58K1ZcuXRrajmRvTjzxxNAT46JUq1at0F+3Rbo3ke7L888/H9q+8MILDzlXvB8zkdy/AydrpVWnTp3Qdl5eXti+xfPxEk3/v707D46iTB84/uSakAMkCYRgAhhCpAwQUETRKIFAEg+Mxyqw7lpu9kBXEV08WEt/HqyAB2W5XLIaD0BRMSAColnEsLgcCoiWB2oUgoCEICghJgGSeX9/TKV3OjOTzCQ9M53p76cqVXO8/fT7zpM300/enh7n34eWxw9Wny9mRV6MRw0THNQwDtQw1spJM2oYB7Mdk1HDOJhtzlDDOJhtvgQTNUznY+W8sGBmcZMnT9ZWbGtra+Wqq66S6upqXZtNmzbpPgb50EMP6d6A3Gl5tsA333yj3bbZbF4VV+np6drtiooKj/EGDBjQZqzw8HDdPlvGC7QtW7ZoZ7n0799fUlJSArJfK+XFyLH5c1xWyom7PhkxxrYopeRvf/ub7N27V0REcnNzpaCgwKcYIiIHDx6U2tpa7b43r6dzv48dOybHjh3T7vuam5bxjM6NkXmpqqqSffv2iYjjTLLs7GwRcZwhO3/+fJk8ebJcffXVUlxcLHPnztWdNdgWq80ZI8fnfIZsy8LQHedLnon4dumMUJ8vwbRx40btdk5OTqttrTZfOgvy0nHUMMFBDeNADWOtnLjrEzWM97FaxjPzsTI1jHGoYRzMNl+CiRqm87NSXlgws7i4uDhZvXq1Vjzu3LlTzj33XHnuuedk//79cuedd0p+fr72B3/y5Mly//33u8SJjY2VkpISSU5OlpSUFCkpKZGYmBjt+eaDPBGR1NRUr74/IDU1Vbt94sQJ3ceoneM5X5LF23jOZ0YGw6JFi7Tbv/3tb/22HyvnxcixGTkuK+fEXZ+MGGNLSimpra2VL774Qv71r3/JeeedJ/PnzxcRkeHDh0tpaanHfZaUlEi/fv0kMTFRnnjiCcnIyHDb78jISK+uL+3cbxH962m23BiZl127dmmPDx48WMLDw+WVV16RtLQ0ueOOO+T555+X1atXy8svvyx33nmnDBgwQB544AGx2+0u+7D6nDFyfEOHDtUeX716dZuX0lq3bp3ufsvi08rzJVh2796tXboiNjZWioqKdM9bfb74W3p6uoSFhYnNZpNevXrJRRddJPfdd5/s3r271e3Ii/GoYYKDGsZ9PGqY0M6Juz5RwziYITfUMK7xQi0v1DCdHzVMcFHD+K71b0qEJQwZMkS2b98utaOu0gAAHLNJREFUf/7zn2X9+vXy448/yi233KJr0717d3nyySflL3/5i8c4N910k9x0001un3P+osrWvgDQWdeuXXX36+rqxGazGRKvrq7Oq238YevWrbJ8+XIRcfzxueOOO/y6P6vmxcixGT0uq+akmdFjbDZlyhRZsGCB2+379OkjU6dOlalTp7ps56ywsFAqKyvb7HfXrl3bvJyCp367i2eG3BiZF+cDr549e8rixYvlD3/4g8c4p06dklmzZkllZaW8+uqrLs9bec4YOb6rr75annvuORFxXK5g/vz5Ht+DDh48KDNmzHCJ48zK8yVYpk2bpv1T5q9//aucccYZLm2sPF8C5fTp01JdXS3V1dWybds2mTNnjhQXF8u8efMkNjbW7TbkxXjUMIFFDeM5HjVMaOekGTWMazwz5IYaxpxzhhrGNZ4Z8hIs1DDmQA3jPT5hBhFxXD926dKlui/faxYRESGPP/64FBcXtzu+8zWHu3Tp4tU2Lds5x+hoPF+vgWyUX375RX7/+99rbxSPPPKI9OrVKyh9EQntvBg5tkCOK5RzYlSfWsZoS0xMjIwaNUp69Oghp0+f9nq7lkI9N0aO7+eff9Yeq6mpkTvvvFNiY2Pl0UcflYqKCjl58qQcPnxYXnvtNd012pctWybPP/980PptRDwz5+WKK66Q888/X3v8rrvukhkzZrgcWG7YsEFycnKkqqpKIiIitMc9HUT7u99GxAvW+76R5s6dq32PSe/eveX//u//fI5BXnyXlJQk55xzjlx00UUybtw4GTNmjGRnZ+v+camUkhdffFEKCgrk5MmTPu+DvLQfNUxgUMO0Ho8aJrRzYlSfWsZoCzWMd6hhjIln5rxQw3Ru1DDBQQ3TMSyYQZRSMmfOHOnfv7/2Edkrr7xSpkyZIvHx8dLU1CS33nqrZGVlyfr169u1j4aGBu12VFSUV9s4v8G1vN/ReC1jB0JjY6NMmjRJ9uzZIyIiY8aMkWnTpgW8H85COS9Gji2Q4wrlnBjVJ3f3RRxf+FlYWCgFBQVy8cUXy4ABAyQiIkLq6+vl1VdfleLiYsnMzHS5REOw+m223Bg5vuPHj2uPbdq0SU6dOiUbNmyQhx56SAYMGCA2m02Sk5Nl0qRJ8tFHH8mgQYO09v/4xz+ksbExKP02Ip6Z8yLiKOibz9ay2+3y8MMPS1JSkowcOVLy8vKkb9++Mm7cONm3b58UFxdLjx49tG1bng0WyH6bLS+B9sEHH8g999wjIo5rtS9ZssTtmZltIS++27lzp3z11VeyZcsWWb9+vXzwwQfy2WefSU1Njbz++uu6y/hs3rxZHnzwQZ/3QV7ahxomMKhh2o5HDRPaOTGqT+7ui1DDdBQ1jDHxzJwXEWqYzooaJnioYTqGBTOLa2xslAkTJsi9994rdXV10rdvXykvL5e1a9fKvHnzZM+ePdpH0CsqKqSwsFD++c9/+rwf5xVf5wnQmvr6et39+Ph4w+I5xwqUW265RcrKykTEcTbsa6+9FvQ/sqGcFyPHFshxhXJOjOqTiPt+3XbbbfLee+9JWVmZbN68WSoqKuSXX36R1157TQYPHiwiji/8LSoqknfeeSfo/TZbbowcX8uz/R555BEZOXKk2xjdu3eXefPmaff3798vmzdv9mr/IuSlrf607FNmZqb897//lczMTF3cjz76SMrLy7UvLy8qKpJ58+bprvnfrVu3oPXbbHkJpM8//1yuu+467ezymTNnyrhx49oVi7wYJzo6WiZOnCi7du3SnfU8f/58OXr0qE+xyIvvqGEChxqm7XjUMKGdE6P6JEIN0zKWEahhjIln5ryIUMN0RtQw5kQN4x0WzCxu+vTpUlpaKiIiAwcOlO3bt8vo0aO153v27CkvvfSSzJ07V0QcZ3Ledddd8u677/q0H+dfWm+vKer8UcqwsDCJi4szLF6g/7jdfffd8uKLL4qI48167dq1Qb2MSbNQzouRYwvkuEI5J0b1qeUY29rXpEmTZMeOHXL55ZeLiEhTU5P86U9/8vn6xh3td8sYZsuNkXlx/iLYiIgImTx5cqtxxowZo/uy1m3btnm1f5HQnzP+mC+DBg2SL774Qp599lkZO3as9OjRQ2w2m6Smpspll10mr7/+uqxatcpln85nofm73y1jmC0vgVJRUSH5+fnaGc/FxcXy97//vd3xQn2+BEPXrl1l8eLF2pdcNzQ0yL///W+fYpAX31HDBAY1jHfxqGFCOydG9YkaxnV7I1DDGBPPzHlpRg3TeVDDmB81TOtYMLOw77//Xp555hkRcfySvvHGG5KcnOy27R133KH7stN7773Xp30lJCRotw8dOuTVNj/++KN2Oy0tTZvERsTr27evV9sY4cEHH5Snn35aRBwHYGvWrJEhQ4YEbP+tCeW8GDm2QI4rlHNiVJ9ajtEb0dHR8vLLL2vXaz58+LB2MO0t537X1tZKbW1tm9s49zsiIkLOPPNMt/HMkBsj8+J8Fl96erpXX9g6dOhQn/cvEvpzxl/zxWazya233irvv/++HDlyRE6ePCkHDhyQd999VyZOnChhYWHy1Vdfae179+6tu7SJL/0OxfkSCHv37pWxY8fK4cOHRUR0X3jeXqE+X4IlKytLzj33XO3+559/7tP25MU31DCBQQ3jfTxqmNDOiVF9ooZxMPOxMjWMcahhXOOZIS+BQA3TeVDDeMaCmYUtW7ZM++LmvLw83Ru9O/fff792+8svv9S9CbVl4MCB2u2jR4969aazb98+7fY555zjMV5lZaVXffjhhx88xvOXRx55RGbOnCkijjf2FStWuP1S8mAJ5bwYObZAjiuUc9LM6DF6Kzk5WXJycrT7O3fu9Gl7536LePd6Ovc7IyND9wWr7cmNEa+DJ0bmxflMy8jISK/273xw1PJj+q0J9TkTrPkiIrJjxw7t9rBhw3zaNtTni7/t27dPxowZo11eJj8/X9544w2v55MnoT5fgmnAgAHabV8vZ0JefEMN43/UMG2jhtEL5Zw0o4ZxjWeGYzJqGNd4Zpgz1DCu8cwwX/yNGqbzoYZxjwUzC9u1a5d2+7zzzmuz/dlnn607GNi9e7fX+xo4cKBu1Xj79u1tbuPcJjs7W/ec8yTwJlbzdcBFHGd8ZGVltblNR82aNUseffRREXEUmitXrtQup2AWoZwXI8cWyHGFck6aGT1GX6SkpGi3vXkzd5aQkKC7DFGgc1NfXy9ffvmlx3gdZWRenM9AP3TokCil2ozl/FH6xMTENts3C/U5E8z5snLlSu12UVGRT9uG+nzxpwMHDkheXp5WTIwdO1befvttiY6O7nDsUJ8vwdT8/Qwi4vUlt5qRF99Qw/gXNQw1jAg1jDvUMA5mOyajhnEw25yhhnEw23zxJ2qYzokaxj0WzCzM+UCr+SzNtjifFdDU1OT1vmJjY2XEiBHa/Q0bNrTa3m63y3/+8x/t/hVXXKF7Pjc3V7v98ccf677Q050PPvhAu52TkyNnnHGGV/1ur6eeekoeeOABEXEUmqWlpXLllVf6dZ/tEcp5MXJsgRxXKOekmdFj9EXzZQFEpF3fweH8erbVbxH969labn744Qf57rvvWo21adMmaWxsFBGRfv36yaBBg7zqs7eMzMuwYcO0M+uOHz8uX3zxRZv7d/74/9lnnx2UfouYb84Ea77s3r1bysvLRcTx3n/99df7HCOU54u//Pjjj5KXlyd79uwREcenZ9asWaP7To2OCPX5EkzOf8P69Onj07bkxTfUMP5DDRP8vFDDOJgpJ82oYVxjmeGYjBrGwWxzhhrGNZYZ5ou/UMN0XtQwHiiEjJdeekmJiBIRlZub22b7G2+8UWt/wQUXtNn+22+/1dqLiNq8ebNP/Xvssce0bVNTU9WpU6c8tn3nnXe0tj169FCNjY265xsaGlR8fLzWZuHCha3u+4ILLtDaPvPMMz7121fPPPOMti+bzabefvttw2L369dPi11eXm5IzFDOi1FjC/S4QjknzYwco7eqq6tVly5dtFhr1qzxOcYrr7yibR8TE6OOHj3qse2XX36ptY2MjFRHjhxxaZOZmam1ue+++1rd9w033KC1veuuu3zuuzeMzEtRUZH2/O23397qfrdv3657f6msrAxav804ZwI9X+x2u7rsssu0ODfddFO7+h3q88UTX4/HmlVVVamBAwdq2+bl5am6ujrD+xfq88WT9ubFGxs3btT9Dfv00099jmHVvChFDdMaahjPQjkv1DDmy0kzahgHsx2TUcOYc85QwziYbb54Qg3jGTWMZ6GaFxbMQoivk2jRokW6ibFs2TKPbZuamtT48eO1tt27d291Erhz4MAB3YHejBkz3LZraGhQWVlZWrtZs2a5bTdlyhStTXJysts3JqWUWrp0qW5C1tTU+NRvXyxYsEDbV1RUlKGFplL+KTZDOS9Gji2Q4wrlnDQzaoyHDx9WK1eubHN/jY2N6pprrtG9DvX19T73+9dff1W9evXS4vzxj390285ut6tx48Zp7SZPnuy23Zw5c3QH4998843bdps2bVJhYWFKxPFPLF+LMW8Z+bu3Zs0aXfGwbds2t7FOnjypRo4cqbW94oorgtpvpcw3Z4weX1vuvvtuLUZcXJw6ePBgu+KE+nzxpD1FTXV1tRo0aJC23ejRo9Wvv/7ql/6F+nzxpD15+e6779psU1VVpTIyMrTY559/frv6Z9W8KEUNY4bcUMOYKy/UMIHvu7eoYRzMdkxGDeNgtjlDDeNgtvniCTVM8N9j3KGGCU5eWDALIb5OouPHj6vk5GRtG5vNpmbPnq1qa2t17b7//ntdoSki6rHHHnOJt2TJEpWSkqJSUlLUq6++6nafzm9gYWFhatasWaqhoUF7fv/+/Wrs2LFamz59+nj8Y3vo0CEVFxentR08eLD6/PPPteebmprU4sWLVXR0tNZm7ty5bb4u7fXcc89pb25RUVHqrbfeMnwf7Sk2rZ4Xo8Zm5LisnhMjx7h3714lIio/P1+tXbvWbQG5ZcsWdemll+r+hr388stu+1RWVqbS09NVYmKimjNnjts28+bN08WaOnWqOn78uPb8Tz/9pDv7vWvXrurAgQNuY9XX16u0tDStbVpamvrwww91bdatW6cSEhK0NtOmTXP/ghrEyN8953ZJSUnqrbfeUna7XXu+srJSV2RER0e7PauJOWPc+EpKStTs2bPdFpDbt29XhYWFut/vkpISj31ivrjn6/HYTz/9pLKzs3XbdKTQZL64155i8+abb1aXXnqpWrFihcv7y+nTp9Xrr7+uUlNTtbgRERFq06ZNbmORF8+oYahh3LF6XqhhzJcTI8dIDWM8ahhzzhlqGHPOF3eoYYI/X9yhhglOXlgw66QKCwtdfgYPHqz9siQkJLhts3TpUl2ctWvXqsjISN0bQZcuXdSIESPU2LFjVVZWllZANf9cfvnlLmdm/vrrr8pms+kOGNz98tfX1+s+MikiKjExUV1yySXqvPPOU1FRUdrjcXFx6pNPPmn1dSgtLXXp36BBg1Rubq4688wzdY/feOONHX/hPdi1a5euHykpKW5ff08/VVVVunhLly5128551X7EiBFu2zizel6MHpsR4yInxo6xudh0fj2HDh2q8vLyVE5OjurZs6fueRFR06dP99gn5wNZEXF7Zo7dbldXX321rl18fLwaOXKkuuCCC1RMTIzuwGPdunWtvg5btmzRvdmLiMrMzFS5ubnqrLPO0j2em5vr85nxvjLyd2///v2qb9++ulhpaWlq9OjRatiwYSo8PFx7PDw8XL300ksuMZgzxo5v9uzZWruMjAyVm5urcnJydAfMzT8zZ85stU/MF2OOx6699lpdvy+55BKvjx9aFvnMFwejjpNvvvlmbRubzaaGDRum8vLy1IUXXqi7XIiIozh89tln3faHvPwPNYyDWXJDDaNnlrwYPTZqGGNRwziY7ZiMGsbBbHOGGsbBbPOFGsbBbPOFGsbBDHlhwayTavmG4O3Pww8/7BLrvffe033c2NNPRESEuueee3SrxM3cTSJP16ytrq5W+fn5re4rPT1dbd261avXYsmSJS4TvuXknzp1qjp58qRPr7EvysvL250TEVF79+7VxXv44YfbHcuZ1fPSzMixdXRc5ESvo2Osrq5WKSkpXs2NpKQklwOJlrw5eFZKqdraWt0ZZe5+evbs6fV3DJSVlenOlnf3M2nSJPXLL794Fa+jjPzdq6ioUOeff36rsRITE1Vpaanb7Zkz/2PE+JyLTU8/vXv39upyXMwXY47HcnNz2x3n5ptv1vWH+eJgRF6UUqq4uNir7VJTU9U777zjsT/k5X+Myo1S1DBGoIZxZYa8NKOGMabv/kAN42CmYzKlqGGamW3OUMM4mGm+ePO3x90PNYx/GZEXpahhjMCCWSdl1CRqduLECTV37lxVUFCgevXqpaKiolRsbKxKTU1VBQUFaubMmWr//v2t9mnJkiWqV69eqnfv3h4/ptnMbrerN998U40fP16lpaUpm82mevfurXJzc9XChQvViRMnfHo9Kisr1f3336+GDBmiunXrpuLj49XAgQPV5MmT1ccff+xTrPYwa7GplLXz4szIsXV0XOREr6NjrKurU0uWLFETJ05U55xzjurWrZuKiIhQXbt2Vf3791c33HCDKikp8eqLZ8vKylS/fv1avTxDy/YTJkxQZ511loqOjlbJycnqwgsvVE8++aTHay17Ul1drWbOnKmGDx+uEhMTVUxMjMrIyFC/+93v1Pvvv+9TLCMY+bvX2Nioli5dqi6//HKVmpqqbDab6tGjh7rooovUrFmz1LFjx1rdnjnzPx0d3+HDh9XcuXPVuHHjVP/+/VVcXJyKj49XmZmZqqioSC1dutTr14j5Yr5iUynmi1LGHSefOHFCLViwQBUVFamMjAwVFxenwsPDVbdu3VRGRoaaNGmSWrx4sVeFGnlxoIbRC3ZuqGHcC3ZenFHDGNN3f6CGcTDLMVkzahgHs80ZahgHs8wXahg9s8wXahi9YOYlTCmlBAAAAAAAAAAAALCo8GB3AAAAAAAAAAAAAAgmFswAAAAAAAAAAABgaSyYAQAAAAAAAAAAwNJYMAMAAAAAAAAAAIClsWAGAAAAAAAAAAAAS2PBDAAAAAAAAAAAAJbGghkAAAAAAAAAAAAsjQUzAAAAAAAAAAAAWBoLZgAAAAAAAAAAALA0FswAAAAAAAAAAABgaSyYAQAAAAAAAAAAwNJYMAMAAAAAAAAAAIClsWAGAAAAAAAAAAAAS2PBDAAAAAAAAAAAAJbGghkAAAAAAAAAAAA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      "text/plain": [
       "<Figure size 858.333x351.389 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 351,
       "width": 870
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Simple plot\n",
    "with plt.style.context('ggplot'):\n",
    "    plot.rc.update({'large': 16, 'small':12, 'fontname':\"Microsoft YaHei\", 'grid.color':'black'})\n",
    "    plt.rcParams[\"timezone\"] = \"CST\"\n",
    "    f, axs = plot.subplots(ncols=1, axwidth=8, aspect=3)\n",
    "    axs[0].plot(data['hourly']['datetime'], data['hourly']['temperature'], lw=2)\n",
    "    axs[0].format(xticks=20, xtickminor=False)\n",
    "    axs.format(title='彩云天气逐1小时温度预报',\n",
    "               xlocator=('hour', range(0, 24, 3)), xrotation=0, xformatter='%H:%M',\n",
    "               xlabel='时间', ylabel='温度', ylim=(-2, 16), )\n",
    "    plot.rc.reset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 858.333x351.389 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 351,
       "width": 879
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Simple plot\n",
    "with plt.style.context('ggplot'):\n",
    "    plot.rc.update({'large': 16, 'small':12, 'fontname':\"Microsoft YaHei\", 'grid.color':'black'})\n",
    "    f, axs = plot.subplots(ncols=1, axwidth=8, aspect=3)\n",
    "    axs[0].bar(data['hourly']['datetime'].dt.strftime('%H:%M'), data['hourly']['temperature'], linewidth=1)\n",
    "    axs[0].format(xticks=20, xtickminor=False)\n",
    "    axs.format(title='彩云天气逐1小时温度预报', xlocator=3,\n",
    "               xlabel='时间', ylabel='温度', ylim=(0, 16), )\n",
    "    plot.rc.reset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zzjorZPvJkyfL5XJJqnyjXLJkSdRjBOqrah5L1nJ5y5Yt5nKXLl3Mv/df9mf1faFqfw3lfQHJKdL5kpeXZy47HA7ZbLY6+6s6MOZLTyS7n376SWPGjNE333wjqfJLm3fffZcrBwAxhkH0bNmyRSNHjtS2bdskVZ5h/69//SumXwYyhkFD0RjzhTEMoiUR8iUWGMM0PhTWELaqB48rVqyos/2GDRt04MABSZUfvj179oxabJH01VdfmcvHHntsne2zsrKqnbGzdu3aqMQFREKzZs3UqlUr87GVXK7apm/fvtXWhfu+4PF49N1339XaH5BIIp0vffr0MZe9Xq+lG3lXnZYlJyenzvZAY3Xw4EGNHTvWPE7r27evFi9eXO2LGyCZMYZBNOTn52vUqFHml+6jR4/WggUL5Ha7YxoHYxg0BI01XxjDIBoSJV+ijTFM40RhDWEbPny4ufz555+bZ0TW5oMPPjCXTzzxRGVnZ0cttkiqepl8IBCwtE3Vsyn8fn/EYwIiqWouL168uM72VXP5jDPOqLWvrVu36ocffgjZ17Jly+Tz+SRJHTt2tDSNBBBPkcyX9u3bq02bNubjjz/+uM7+Vq9ebS7XNqUX0NgVFRXptNNOM7/06dOnjxYvXqzmzZvHOTIgcTCGQaRt375do0aN0saNGyVJo0aN0ltvvVXjfkuxwhgGiawx5wtjGERaouVLtDCGabworCFso0aNMi9T9Xq9evHFF0O2f+6558zlCRMmRDW2SMrNzTWXly9fXucgs6ioqNpBQ7t27aIWGxAJ48aNM5ffeOMN7d+/v9a2a9asMW827HQ6a0wr1KNHD3Xr1s18/Mwzz4Tc9+zZs83l8ePHhxU3EA+RzBdJOu+888zlp556KuS+d+zYoWXLlpmPR48ebTluoLEoKSnRGWecYeZW7969tXjxYrVo0SLOkQGJhTEMImnXrl0aNWqUNmzYIKnyu4C33347rl96MoZBomrs+SIxhkHkJGK+RANjmMaNwhrC5na7dcUVV5iP7733Xu3duzdo2xdffFGff/65JKlFixa68sorYxFiRAwbNsxc3r59u/785z+HbD9lyhR5vV5Jkt1u56ABCW/8+PHm1BAej0e33npr0HaGYeimm24yH1955ZVBDwKuvfZac3nmzJlav3590P4++ugjzZs3T5Lkcrn0+9//vt6vAYiVSOfLVVddJbu98jDsnXfe0euvv15rf//3f/+niooKSVKvXr108sknH9FrARqa0tJSnXnmmeaZ0b169dIHH3xQrYAAoBJjGETKnj17NHr0aK1bt06SNGLEiIS4koAxDBJRsuQLYxhEQqLmS6Qxhmn8KKyhXqZOnaqMjAxJ0u7duzVy5Eh9++235vpAIKA5c+bo6quvNp+7++67lZWVFfNY6+uUU06pNrXD1KlTdcstt2jfvn3V2u3atUtXXXWVHn/8cfO5K6+8stpc1kAiSk9P11133WU+fu6553TTTTepsLDQfG7fvn269NJL9f7770uqvA/H3XffHbS/G264wTzL2ePxaPTo0TWmh3j33Xd19tlnyzAMSdKNN96ojh07RvR1AdEQ6Xzp27dvtZNULrvsMj377LPVrizYu3evLr30UnPAarPZNH36dEs3CgcaC6/Xq3Hjxmnp0qWSGJACdWEMg0jYt2+fTjnlFPN+YsOHD9c777yj9PT0OEfGGAaJJ5nyhTEMjlQi50skMYZJDjbj8JEBksJpp51W47mCggKzKNasWTMdd9xxNdpceumluvTSS6s99/rrr+u8885T1T+hXr16qUWLFtqwYYO2b99uPn/xxRfrpZdeCivWqh+6S5Ys0YgRIyxtN3HiRO3atavac/v37zfnsk1NTa02z/RhY8aM0R/+8Idqz61cuVIjR46sdh85p9OpPn36KCcnR3v37tW3335b7SBi4MCBWrx4cYO5lxxqF6l8efHFF4NOmfrhhx+aZwgPHjw46M18Fy5caCnW+uaLYRgaP368FixYYD6XmZmp3r17KxAIaPXq1fJ4PJIkh8Oht956S6effnqt/S1fvlwjR45UWVmZ+Vy3bt3Utm1bbdmyRZs3bzafHz58uN577z2lpKRYihWJjXwJP18OHjyoESNGaNWqVeZzubm56tGjhzwej1atWmWe5SlJ9913X62DXDQsyZAvkToemzx5sv7617+ajwcOHGh56pS+ffvWebUOGgZyhjEMrItEvkyYMEH//ve/zXUnnXSSeWJtXYL9TdYmUY7JGMMkL/KFMQysS4Z8YQyDsBhIKpLq9e+ee+4J2t+cOXOMzMzMWrez2WzG7373O6OsrOyIYl2yZInl7Tp27Fiv1zhx4sSg/a1YscLo2rWr5T4OHDgQ9mtFYopUvtxzzz317qs+sYaTL4ZhGMXFxcbFF18cMo7c3FzjrbfestTfokWLjJYtW4bs78ILLyRXGhnypX75smvXLuPUU08N2V96eroxa9assOJEYkuGfInU8djEiRPr/RqHDx9uOV4kNnLGes4cxhgmeUUiX4YPH17vfmr7m6wr1ngfkzGGSU7kS/3yhTFMckqGfGEMg3A4BRyByy67TMOGDdNTTz2lt99+W1u2bFEgEFBeXp6GDx+uq6++WoMHD453mEdk0KBB+u677/Tyyy/r3//+t1auXKm9e/fKZrOpadOm6t69u0488URddtllOuaYY+IdLhC2jIwMvfTSS5o4caJmz56tzz//XDt27FB2drY6d+6sc889V5MmTbJ8ds2pp56qb7/9Vs8884zeeOMNbdq0SR6PR23bttXxxx+vSZMmcf8ONFiRzpeWLVtq0aJFWrBggf75z39qxYoV2rVrl9LT09W5c2edfvrpuu6665SXlxflVwYAaEwYw6CxYwwDWMcYBgAij6kgAQAAAAAAAAAAAAvs8Q4AAAAAAAAAAAAAaAgorAEAAAAAAAAAAAAWUFgDAAAAAAAAAAAALKCwBgAAAAAAAAAAAFhAYQ0AAAAAAAAAAACwgMIaAAAAAAAAAAAAYAGFNQAAAAAAAAAAAMACCmsAAAAAAAAAAACABRTWAAAAAAAAAAAAAAsorAEAAAAAAAAAAAAWUFgDAAAAAAAAAAAALKCwBgAAAAAAAAAAAFhAYQ0AAAAAAAAAAACwgMIaAAAAAAAAAAAAYAGFNQAAAAAAAAAAAMACCmsAAAAAAAAAAACABc54BwAAAAAAaPx27typVatWSZIGDx6s5s2bh2z/008/ad++feratWsswgMAAAAASyisAQAAAACibvPmzXruueckSW3btg1ZWNu0aZMefvhhlZaW6vbbb1evXr1iFSYAAAAAhERhDQAAAACQUA4ePKiioiJVVFTowQcf1C233KL+/fub60tLS7VkyZKI7Kt58+Y6/vjjI9IXAAAAgMaPwhoAAAAAQEVFRVq+fLnl9qeeemrUYunfv79uv/12/fnPf1Z5ebkeeeQR3XbbberXr58kqbCwUC+88EJE9tWzZ08KawAAAAAso7AGAAAAANC+ffv07LPPWm4fzcKaJPXt21e33367HnroIVVUVOiRRx7R7bffrj59+kR1vwAAAAAQCoU1AAAAAEBC6tOnjyZPnqzp06crNzdXaWlpkqTWrVtr7ty5R9T31KlTtWHDhkiECQAAACCJUFgDAAAAAFRz/fXXa8SIETWenz17thYtWhS1/f7www/64osvJElnnXWWMjIyNHDgQN13333q3LmzUlJSorZvAAAAALCCwhoAAAAAoF6WLVsmr9drqe3mzZvN5S+//FI7d+40H6empmrYsGHauHGj3njjDUnSqFGjlJGRIUk6+uijIxc0AAAAABwBCmsAAAAAgHp5+eWXtX///rC3+89//lPtcU5OjoYNGxapsAAAAAAgaiisAQAAAAAahBtuuEF79uwJa5vc3Fw99thjUYoIAAAAQLKhsAYAAAAAqJcnn3zScttPP/1UM2bMkCTddddd6tu3b7TCAgAAAICoobAGAAAAAGhQzjzzTI0ePTpkm8WLF+vtt9+OUUQAAAAAkgWFNQAAAABAg9KkSRPl5eXV2QYAAAAAIs0e7wAAAAAAAA2X3+/XkiVLdOutt6qwsDDe4QAAAABAVHHFGgAAAACgmscff1yPP/64pbaffPKJnnjiCUnS66+/rkmTJkUzNAAAAACIK65YAwAAAADU2wknnKBWrVpJkt577z3t3r076vv0+Xzyer0h//l8vqjHAQAAACD5cMUaAAAAAKCaMWPGqGfPnjWeX7p0qb7++utqzzkcDo0fP15PPvmkfD6f5s6dqxtvvDGq8c2dO1dz586N6j4AAAAAIBgKawAAAACAarp166YTTzyxxvPff/99jcKaJA0bNkyvv/669uzZo48++kjnnHOO2rVrF4tQAQAAACCmKKwBAAAAAI6I0+nUuHHjNHv2bBmGoblz52ry5MlR298555yjsWPHhmyzaNEizZ8/P2oxAAAAAEhOFNYAAAAAAEds5MiReu2111RYWKjPPvtMW7duVYcOHaKyr/T0dDVv3rzONgAAAAAQafZ4BwAAAAAAaPhcLpdOPfVU83GwKSMBAAAAoKHjijUAAAAAQESMGTNG+fn5Ovfcc9WxY8d4hwMAAAAAEUdhDQAAAAAQEc2aNYvqvdUOKy0t1b59++psAwAAAACRRmENAAAAANCgzJ8/X/Pnz493GAAAAACSEIU1AAAAAEA1u3fv1o8//ljj+cLCwjhEAwAAAACJg8IaAAAAAKCaefPmad68efEOo1bnn3++zjzzTEttbTZblKMBAAAAkEworAEAAAAAGgS73S673a6UlBSlpqbGOxwAAAAASYjCGgAAAACgml//+tcaOHBgjefffPNNLV++vF59ejwec9lut9erj5kzZ9Zru2AOx8MVbQAAAADCQWENAAAAAFBNy5Yt1aVLlxrPN2nSpN59fvnll+ZyWlpavfuJhIKCAu3YsUOS5HK54hoLAAAAgIaFwhoAAAAAICJmzJghn8+njIw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      "text/plain": [
       "<Figure size 858.333x648.056 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 681,
       "width": 875
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Simple plot\n",
    "with plt.style.context('ggplot'):\n",
    "    plot.rc.update({'large': 16, 'small':12, 'fontname':\"Microsoft YaHei\", 'grid.color':'black'})\n",
    "    plt.rcParams[\"timezone\"] = \"CST\"\n",
    "    f, axs = plot.subplots(ncols=1, nrows=4, axwidth=8, aspect=6, share=0, hspace=(0.1, 0.1, 0.1))\n",
    "    \n",
    "    axs[0].bar(data['hourly']['datetime'].dt.strftime('%H:%M'), data['hourly']['precipitation'], linewidth=1)\n",
    "    axs[0].format(xlabel=\"\", ylabel=\"Precipitation\", ylim=(0,max(data['hourly']['precipitation'].max(), 0.5)), \n",
    "                  xticklabels=\"null\", xlocator=1)\n",
    "    \n",
    "    axs[1].plot(data['hourly']['datetime'], data['hourly']['temperature'], lw=2)\n",
    "    axs[1].format(xlabel=\"\", ylabel=\"Temperature\", ylim=(data['hourly']['temperature'].min()-1, data['hourly']['temperature'].max()+1),\n",
    "                  xlocator=('hour', range(0, 24, 6)), xticklabels=\"null\", xminorlocator='hour')\n",
    "    \n",
    "    axs[2].plot(data['hourly']['datetime'], data['hourly']['humidity']*100, lw=2, color='cyan4')\n",
    "    axs[2].format(xlabel=\"\", ylabel=\"Humidity\", ylim=(0, 100),\n",
    "                  xlocator=('hour', range(0, 24, 6)), xticklabels=\"null\", xminorlocator='hour')\n",
    "    \n",
    "    axs[3].plot(data['hourly']['datetime'], data['hourly']['speed'], lw=2, color='yellow7')\n",
    "    axs[3].format(xlabel=\"时间\", ylabel=\"Wind Speed\", \n",
    "                  ylim=(data['hourly']['speed'].min()-1, data['hourly']['speed'].max()+1),\n",
    "                  xlocator=('hour', range(0, 24, 6)), xrotation=0, xformatter='%dT%H',\n",
    "                  xminorlocator='hour')\n",
    "    axs.format(suptitle=\"彩云天气逐小时预报 \\n 起报时间:(\"+data['hourly']['datetime'].min().strftime(\"%Y-%m-%d %H:%M %Z\")+\")\")\n",
    "    \n",
    "    plot.rc.reset()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 未来5天逐日预报数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "\n",
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       "        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>date</th>\n",
       "      <th>sunrise.time</th>\n",
       "      <th>sunset.time</th>\n",
       "      <th>precipitation_max</th>\n",
       "      <th>precipitation_24h</th>\n",
       "      <th>temperature_max</th>\n",
       "      <th>temperature_min</th>\n",
       "      <th>temperature_avg</th>\n",
       "      <th>max.speed</th>\n",
       "      <th>max.direction</th>\n",
       "      <th>min.speed</th>\n",
       "      <th>min.direction</th>\n",
       "      <th>avg.speed</th>\n",
       "      <th>avg.direction</th>\n",
       "      <th>humidity_max</th>\n",
       "      <th>humidity_min</th>\n",
       "      <th>humidity_avg</th>\n",
       "      <th>cloudrate_max</th>\n",
       "      <th>cloudrate_min</th>\n",
       "      <th>cloudrate_avg</th>\n",
       "      <th>pressure_max</th>\n",
       "      <th>pressure_min</th>\n",
       "      <th>pressure_avg</th>\n",
       "      <th>visibility_max</th>\n",
       "      <th>visibility_min</th>\n",
       "      <th>visibility_avg</th>\n",
       "      <th>dswrf_max</th>\n",
       "      <th>dswrf_min</th>\n",
       "      <th>dswrf_avg</th>\n",
       "      <th>aqi.max.chn</th>\n",
       "      <th>aqi.max.usa</th>\n",
       "      <th>aqi.avg.chn</th>\n",
       "      <th>aqi.avg.usa</th>\n",
       "      <th>aqi.min.chn</th>\n",
       "      <th>aqi.min.usa</th>\n",
       "      <th>pm25.max</th>\n",
       "      <th>pm25.avg</th>\n",
       "      <th>pm25.min</th>\n",
       "      <th>skycon</th>\n",
       "      <th>skycon_08h_20h</th>\n",
       "      <th>skycon_20h_32h</th>\n",
       "      <th>ultraviolet.index</th>\n",
       "      <th>ultraviolet.desc</th>\n",
       "      <th>carWashing.index</th>\n",
       "      <th>carWashing.desc</th>\n",
       "      <th>dressing.index</th>\n",
       "      <th>dressing.desc</th>\n",
       "      <th>comfort.index</th>\n",
       "      <th>comfort.desc</th>\n",
       "      <th>coldRisk.index</th>\n",
       "      <th>coldRisk.desc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-03-10 00:00:00+08:00</td>\n",
       "      <td>06:33</td>\n",
       "      <td>18:15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>7.14</td>\n",
       "      <td>24.99</td>\n",
       "      <td>335.25</td>\n",
       "      <td>1.39</td>\n",
       "      <td>83.88</td>\n",
       "      <td>12.79</td>\n",
       "      <td>328.83</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.15</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.38</td>\n",
       "      <td>101754.31</td>\n",
       "      <td>101354.31</td>\n",
       "      <td>101381.28</td>\n",
       "      <td>30.0</td>\n",
       "      <td>24.13</td>\n",
       "      <td>30.00</td>\n",
       "      <td>640.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>256.6</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>17.89</td>\n",
       "      <td>17.89</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>11.56</td>\n",
       "      <td>6</td>\n",
       "      <td>PARTLY_CLOUDY_DAY</td>\n",
       "      <td>CLEAR_DAY</td>\n",
       "      <td>CLEAR_NIGHT</td>\n",
       "      <td>4</td>\n",
       "      <td>强</td>\n",
       "      <td>1</td>\n",
       "      <td>适宜</td>\n",
       "      <td>6</td>\n",
       "      <td>冷</td>\n",
       "      <td>7</td>\n",
       "      <td>冷</td>\n",
       "      <td>4</td>\n",
       "      <td>极易发</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-03-11 00:00:00+08:00</td>\n",
       "      <td>06:31</td>\n",
       "      <td>18:16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.98</td>\n",
       "      <td>11.52</td>\n",
       "      <td>227.24</td>\n",
       "      <td>1.12</td>\n",
       "      <td>153.70</td>\n",
       "      <td>4.80</td>\n",
       "      <td>185.28</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.05</td>\n",
       "      <td>101434.31</td>\n",
       "      <td>100633.09</td>\n",
       "      <td>101025.01</td>\n",
       "      <td>30.0</td>\n",
       "      <td>10.34</td>\n",
       "      <td>22.00</td>\n",
       "      <td>639.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>236.8</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>57.96</td>\n",
       "      <td>57.96</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>59</td>\n",
       "      <td>41.71</td>\n",
       "      <td>19</td>\n",
       "      <td>CLEAR_DAY</td>\n",
       "      <td>CLEAR_DAY</td>\n",
       "      <td>CLEAR_NIGHT</td>\n",
       "      <td>4</td>\n",
       "      <td>强</td>\n",
       "      <td>1</td>\n",
       "      <td>适宜</td>\n",
       "      <td>6</td>\n",
       "      <td>冷</td>\n",
       "      <td>7</td>\n",
       "      <td>冷</td>\n",
       "      <td>4</td>\n",
       "      <td>极易发</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-12 00:00:00+08:00</td>\n",
       "      <td>06:29</td>\n",
       "      <td>18:17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>-2.4</td>\n",
       "      <td>7.55</td>\n",
       "      <td>32.23</td>\n",
       "      <td>1.34</td>\n",
       "      <td>9.09</td>\n",
       "      <td>5.96</td>\n",
       "      <td>19.35</td>\n",
       "      <td>5.84</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.59</td>\n",
       "      <td>102553.05</td>\n",
       "      <td>100714.31</td>\n",
       "      <td>101555.44</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>30.00</td>\n",
       "      <td>622.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>201.2</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>8.62</td>\n",
       "      <td>8.62</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>6.00</td>\n",
       "      <td>3</td>\n",
       "      <td>PARTLY_CLOUDY_DAY</td>\n",
       "      <td>PARTLY_CLOUDY_DAY</td>\n",
       "      <td>PARTLY_CLOUDY_NIGHT</td>\n",
       "      <td>1</td>\n",
       "      <td>最弱</td>\n",
       "      <td>1</td>\n",
       "      <td>适宜</td>\n",
       "      <td>7</td>\n",
       "      <td>寒冷</td>\n",
       "      <td>7</td>\n",
       "      <td>冷</td>\n",
       "      <td>4</td>\n",
       "      <td>极易发</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-03-13 00:00:00+08:00</td>\n",
       "      <td>06:28</td>\n",
       "      <td>18:18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>4.40</td>\n",
       "      <td>16.92</td>\n",
       "      <td>20.22</td>\n",
       "      <td>4.61</td>\n",
       "      <td>333.92</td>\n",
       "      <td>11.72</td>\n",
       "      <td>266.97</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.21</td>\n",
       "      <td>102797.03</td>\n",
       "      <td>101834.27</td>\n",
       "      <td>102360.28</td>\n",
       "      <td>30.0</td>\n",
       "      <td>13.64</td>\n",
       "      <td>24.04</td>\n",
       "      <td>669.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>252.3</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>53.92</td>\n",
       "      <td>53.92</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>52</td>\n",
       "      <td>38.67</td>\n",
       "      <td>16</td>\n",
       "      <td>PARTLY_CLOUDY_DAY</td>\n",
       "      <td>CLEAR_DAY</td>\n",
       "      <td>PARTLY_CLOUDY_NIGHT</td>\n",
       "      <td>4</td>\n",
       "      <td>强</td>\n",
       "      <td>1</td>\n",
       "      <td>适宜</td>\n",
       "      <td>7</td>\n",
       "      <td>寒冷</td>\n",
       "      <td>7</td>\n",
       "      <td>冷</td>\n",
       "      <td>4</td>\n",
       "      <td>极易发</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-03-14 00:00:00+08:00</td>\n",
       "      <td>06:26</td>\n",
       "      <td>18:19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>6.99</td>\n",
       "      <td>28.94</td>\n",
       "      <td>334.32</td>\n",
       "      <td>8.88</td>\n",
       "      <td>334.10</td>\n",
       "      <td>15.07</td>\n",
       "      <td>317.97</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>101754.31</td>\n",
       "      <td>101114.31</td>\n",
       "      <td>101441.19</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>30.00</td>\n",
       "      <td>650.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>232.5</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>26.33</td>\n",
       "      <td>26.33</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>31</td>\n",
       "      <td>18.50</td>\n",
       "      <td>3</td>\n",
       "      <td>PARTLY_CLOUDY_DAY</td>\n",
       "      <td>PARTLY_CLOUDY_DAY</td>\n",
       "      <td>CLEAR_NIGHT</td>\n",
       "      <td>1</td>\n",
       "      <td>最弱</td>\n",
       "      <td>1</td>\n",
       "      <td>适宜</td>\n",
       "      <td>7</td>\n",
       "      <td>寒冷</td>\n",
       "      <td>7</td>\n",
       "      <td>冷</td>\n",
       "      <td>4</td>\n",
       "      <td>极易发</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       date sunrise.time  ... coldRisk.index  coldRisk.desc\n",
       "0 2020-03-10 00:00:00+08:00        06:33  ...              4            极易发\n",
       "1 2020-03-11 00:00:00+08:00        06:31  ...              4            极易发\n",
       "2 2020-03-12 00:00:00+08:00        06:29  ...              4            极易发\n",
       "3 2020-03-13 00:00:00+08:00        06:28  ...              4            极易发\n",
       "4 2020-03-14 00:00:00+08:00        06:26  ...              4            极易发\n",
       "\n",
       "[5 rows x 51 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['daily'].head()"
   ]
  }
 ],
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