{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 合并数据 & 分解多边形\n",
    "\n",
    "参考：[合并数据 & 分解多边形](https://pygis.io/docs/e_vector_merge_dissolve.html)\n",
    "\n",
    "数据帧在 Python 中被广泛用于操作数据。回想一下，数据帧本质上是 Excel 电子表格（一个行和列的 2-D 表）；事实上，在使用 Python 中的数据帧时，您可能在 Excel 中使用的许多函数通常可以复制！\n",
    "\n",
    "本章将介绍一些可以对数据帧执行的基本运算。使用这些基本运算来计算和绘制弗吉尼亚州联邦的贫困率。从美国人口普查局 2019 年美国社区调查（[ACS](https://www.census.gov/programs-surveys/acs)）中提取[数据](https://www.census.gov/data/developers/data-sets/acs-5year.html)。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "from census import Census\n",
    "from us import states"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 访问数据\n",
    "\n",
    "### 输入人口普查数据\n",
    "\n",
    "从访问和导入普查数据开始。将人口普查数据导入 Python 需要 [census API](http://api.census.gov/data/key_signup.html) 键。可从人口普查 API key 获取密钥。它将为您提供独特的 40 位文本字符串。请记下这个号码。把它存放在安全的地方。\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.4 ('tvmx': conda)",
   "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": "3.10.4"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "e579259ee6098e2b9319de590d145b4b096774fe457bdf04260e3ba5c171e887"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}