{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 绘制类别型数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 目录\n",
    "+ 类别散点图\n",
    "    + sns.stripplot()\n",
    "        + jitter参数\n",
    "    + sns.swarmplot()\n",
    "        + 条件于第3个变量\n",
    "    + 类别型变量在图表中的位置顺序\n",
    "    + 绘制水平类别散点图\n",
    "\n",
    "\n",
    "+ 类别分布图\n",
    "    + sns.boxplot()\n",
    "    + sns.violinplot()\n",
    "    + sns.swarmplot()与sns.violinplot()、sns.boxplot()的结合\n",
    "\n",
    "\n",
    "+ 类别统计估计图\n",
    "    + sns.barplot()\n",
    "    + sns.countplot()\n",
    "    + sns.pointplot()\n",
    "\n",
    "\n",
    "+ 绘制宽格式的数据\n",
    "\n",
    "\n",
    "+ x，y参数\n",
    "\n",
    "\n",
    "+ 设置图表的大小、坐标系\n",
    "\n",
    "\n",
    "+ 绘制分面类别图\n",
    "    + kind参数设置图表种类\n",
    "    + 分面\n",
    "    + 设置图表的大小\n",
    "\n",
    "\n",
    "+ PairGrid对象\n",
    "\n",
    "\n",
    "\n",
    "+ Axis grids对象"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\", color_codes=True)\n",
    "np.random.seed(sum(map(ord, \"categorical\")))\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's useful to divide seaborn's categorical plots into three groups: \n",
    "+ those that show each observation at each level of the categorical variable  \n",
    "swarmplot()、stripplot()\n",
    "\n",
    "\n",
    "+ those that show an abstract representation of each **distribution** of observations  \n",
    "boxplot()、violinplot()\n",
    "\n",
    "\n",
    "+ those that apply a statistical estimation to show a measure of central tendency and confidence interval  \n",
    "barplot()、pointplot()\n",
    "\n",
    "\n",
    "+ high-level function  \n",
    "factorplot()和FacetGrid对象"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "titanic = sns.load_dataset(\"titanic\")\n",
    "tips = sns.load_dataset(\"tips\")\n",
    "iris = sns.load_dataset(\"iris\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 类别散点图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sns.stripplot()\n",
    "当一个变量是类别型变量，另一个变量是连续型变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x9cd4978>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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iC/3MSeUupRHpXeMOXbmbjLzC7OrQqfCn4EBNI82tsYs3bdxR41IakZMkWDeq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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9cd4208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.stripplot(x=\"day\", y=\"total_bill\", data=tips)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### jitter参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x9ec8470>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1x/ery/a3A9cbwDQgFZhBzzaL3wfO93VfoDGZrfzymb0cPm3fmWfquARCgvRA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\nJPjyHQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9dde6a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.stripplot(x=\"day\", y=\"total_bill\", data=tips, jitter=True) # jitter=True，使散点在类别变量轴方向扰动，更容易看清连续型变量的分布，解决散点重叠问题"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sns.swarmplot()\n",
    "采用特定算法，将散点放置在类别变量轴上，更容易看清连续型变量的分布，解决散点重叠问题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa135da0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jX+OWLdg6Ot3bDpOJ4CmTMVXX4LBaiV95NRFzZg13qD7L0NqFWq1yP8Q1dVt5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\nMCOBXwghwsz/AiVi30mDhNo4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9c9bf28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.swarmplot(x=\"day\", y=\"total_bill\", data=tips)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 条件于第3个变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xab3c3c8>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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rbgIsSWv2OLGG8eV4dMEw/r5Si95gQqVSUKdr4d2vTgAwY0wY0aPL+OL02vbz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\nb35OApv2VNBnGoBgvZZWYxcbd5dj6OxArVTTY+3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mH9BQ9NqnBVTV2/fbtDt26Qfl5NLY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\nlegAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xab46da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.swarmplot(x=\"day\", y=\"total_bill\", hue=\"sex\", data=tips) # 将第3个类别型变量赋予hue参数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 类别型变量在图表中的位置顺序\n",
    "+ pandas中的Categorical数据类型  \n",
    "在pandas中可以设置变量的顺序（Python数据分析一书中没有，Categorical数据类型是后来加入的）\n",
    "\n",
    "\n",
    "+ 其他数据类型\n",
    "    + 字符串型类别变量  \n",
    "    按照在DataFrame中出现的顺序\n",
    "    + 数值型类别变量  \n",
    "    按照数值大小顺序"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xad175f8>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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w93dWkJQyOoe3CsFxPk/8SkmSfFWu+v8/9N3SwnmzOm28W7KFJwpf4kRLKW+X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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa1e7cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.swarmplot(x=\"size\", y=\"total_bill\", data=tips) # 数值型类别变量，变量在图表中的位置，按数值大小排序"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘制水平类别散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xafda780>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+1m2b/wE3GI1G6+CUcug7Ul/Mkxv+jsPhAGD3sQM8d/7DRAc4m6CyUsI4WNyg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\n21LPdRct5jrnPH5tcx1/2f4+Owv2EmwLpK2pndb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ceVeMjkw2+FxMmBgdqa0vGBIaw70T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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xabaad30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.swarmplot(x=\"total_bill\", y=\"day\", hue=\"time\", data=tips) # 将类别型变量赋予x，连续型变量赋予y，Seaborn可以自动推断出要绘制水平类别散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb1e5f98>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+1m2b/wE3GI1G6+CUcug7Ul/Mkxv+jsPhAGD3sQM8d/7DRAc4m6CyUsI4WNyg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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb011978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.swarmplot(x=\"total_bill\", y=\"day\", orient='h', hue=\"time\", data=tips) # 当类别型变量是数值型变量时，需要显式设置orient='h'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 类别分布图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sns.boxplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xaf42eb8>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xae652b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=\"day\", y=\"total_bill\", hue=\"time\", data=tips)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sns.violinplot()\n",
    "箱线图和核密度图的结合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pSiQS+Wk8Pk4insC2535S3qyU7KQq+dcKgKJMdJUseK0ouX+y34Xt4to2JKen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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb399be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x=\"total_bill\", y=\"day\", hue=\"time\", data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xbb82f98>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FHhwFblS/A9WljWsbtmWTPBUl0RomGowR7e0Ay0bJceApTW9bdWvgUEkejxA7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\n+wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb78db70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x=\"total_bill\", y=\"day\", hue=\"time\", data=tips,\n",
    "               bw=.1, scale=\"count\", scale_hue=False) # 小提琴图涉及到核密度图，因而相比于箱线图，有更多参数可以设置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xbd557f0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SSy/tNp/hQCDA3/72v0iKLSG5B0fCVphJS91+3G43Z5xxRlLG7Ggi3VGDnEkd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\nHiLmIS8cugAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb4837f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x=\"day\", y=\"total_bill\", hue=\"sex\", data=tips, split=True) # 当hue变量为二元变量时，可以设置split参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc0d37b8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3zEjZ2ofrdDoeeugO3nsvji+//JLXX3/d5/rweMqlS5eaH9Zc6WzqKSNH9kGn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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xba9da20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x=\"day\", y=\"total_bill\", hue=\"sex\", data=tips,\n",
    "               split=True, inner=\"stick\", palette=\"Set3\") # inner参数控制如何小提琴的内部，inner=\"stick\"为每个观察值绘制一条stick"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "It can also be useful to combine :func:`swarmplot` or :func:`swarmplot` with :func:`violinplot` or :func:`boxplot` to show each observation along with a summary of the distribution:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sns.swarmplot()与sns.violinplot()、sns.boxplot()的结合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc9a1198>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TcwUeT2oBNzw0Sce5G3R19HOh/ToT49NEo3H6e8fp6xnNTnzdsq2KPfc1snVb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\nsQR8DZhCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb15c6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x=\"day\", y=\"total_bill\", data=tips, inner=None) # 注意设置inner=None，去除小提琴内部的box\n",
    "sns.swarmplot(x=\"day\", y=\"total_bill\", data=tips, color=\"w\", alpha=.5) # 注意设置alpha参数，调整散点透明度"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 类别统计估计图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sns.barplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc9d3eb8>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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t24CeQDXwAzPbyd4LTkKwEvFcM4PgM6zP6CHQkUDXtb/zpkcAX3T3CcB1QD7B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\n/wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbd55e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算每一类别中，连续型变量的均值，用bar的高度进行展示\n",
    "# 通过自助法来计算每一个类别中连续型变量的置信区间，并用误差条进行展示\n",
    "sns.barplot(x=\"sex\", y=\"survived\", hue=\"class\", data=titanic)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sns.countplot()\n",
    "简单的条形图（条的长度表示该类别中变量的个数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc9d6cc0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xb7be390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"deck\", data=titanic, palette=\"Greens_d\")"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "Both :func:`barplot` and :func:`countplot` can be invoked with all of the options discussed above, along with others that are demonstrated in the detailed documentation for each function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xcd0ef98>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xbc05908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(y=\"deck\", hue=\"class\", data=titanic, palette=\"Greens_d\") # 设置hue参数，条件于第3个变量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sns.pointplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xcf1dcf8>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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W/wBbTu3irT0fUGovP/8tfWO5Z/AtmE2yCIxwP1efDrJTvsj8JWe11nVdqBwP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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcd0ef28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 均值用点而非bar的高度展示\n",
    "# 同样会绘制置信区间，用误差条展示\n",
    "# 用直线连接同一个hue类别内的点，利于观察连续型变量均值随着类别型变量的变动而变动的趋势\n",
    "sns.pointplot(x=\"sex\", y=\"survived\", hue=\"class\", data=titanic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xd34a438>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yRETCo3vPDObMG9dkEAwZ3oOZl5wb4aqiJ9SoewB4AZgLFBpjrgE+DVtVIiJh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\n+HHz6gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xccdaf28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pointplot(x=\"class\", y=\"survived\", hue=\"sex\", data=titanic,\n",
    "              palette={\"male\": \"g\", \"female\": \"m\"},\n",
    "              markers=[\"^\", \"o\"], linestyles=[\"-\", \"--\"]) # 设置palette、markers、linestyle参数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制宽格式的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xd656e48>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xd35f9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=iris) # 宽格式的数据（DataFrame、二维numpy数组等）可以直接传给data，用于绘制类别型数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xd9903c8>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xd6c6898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=iris, orient=\"h\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## x，y参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xdc7d208>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QC1SzdOlSXn75ZS677DKbIs0OzRelM/GiV5s5kJN9C44++mh++MMf8t5777Ew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\nkaUkwQshRJaSBC+EEFlKErwQQmSp/w+1Mbpy05aPxgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd35fc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x=iris.species, y=iris.sepal_length) # x，y参数不仅接受字符串形式的列名，还可以接受pandas或numpy对象"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置图表的大小、坐标系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xdd8fda0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xdda5748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(7, 3)) # 通过matplotlib的figsize设置图表的大小，以及绘制的坐标系（可以将多个图表置于同一坐标系）\n",
    "sns.countplot(y=\"deck\", data=titanic, color=\"c\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 绘制分面类别图\n",
    "FacetGrid对象 + map方法、sns.factorplot() + kind参数，参见第4章“多个变量相对于一个变量的回归线”"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0xd6b63c8>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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qpT5QSl2stT55/fImddy/9AaGJXTniTum8MpH29i237PH/MpzhjBn+ghWfJfF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\nECZJwhRCCJMkYQohhEmSMIUQwqT/D4nlSiNu2k7pAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xddb1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.factorplot(x=\"day\", y=\"total_bill\", hue=\"smoker\", data=tips) # 默认绘制sns.pointplot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### kind参数设置图表种类\n",
    "kind : {point, bar, count, box, violin, strip, swarm}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0xdeca630>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xdeca3c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.factorplot(x=\"day\", y=\"total_bill\", hue=\"smoker\", data=tips, kind=\"bar\") # sns.barplot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 分面\n",
    "hue、col、row参数，参见第4章中“条件于其他变量”部分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0xe253160>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Kq6YmUlNvIX5AkKfD6Rb5JTXsz6mg1b/Imbwdp8uzuZL+lcAJz+iWBE5rPafD5qzueE0h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\nMN9UAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe398e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.factorplot(x=\"day\", y=\"total_bill\", hue=\"smoker\",\n",
    "               col=\"time\", data=tips, kind=\"swarm\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 设置图表的大小\n",
    "参数size、aspect，参见第4章中sns.lmplot()部分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0xe398320>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JUkt4gVs9/syqy0EMkiRJFWMCJ0mSVDHeQpV6lJ2TJal3mcBJfcbOyZJUfSZw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\n/H8F+25F3SllzQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe9b6908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.factorplot(x=\"time\", y=\"total_bill\", hue=\"smoker\",\n",
    "               col=\"day\", data=tips, kind=\"box\", size=4, aspect=.5) # size、aspect设置的是每个分面的大小"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PairGrid对象\n",
    "注意区别于FacetGrid对象，Facet对象用于条件于其他变量的情况，PairGrid对象用于研究多个变量两两关系的情况  \n",
    "\n",
    "\n",
    "参见第4章“多个变量相对于一个变量的回归线”部分，第4章用于连续型变量，这里用于类别型变量，本质相同"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0xf3690b8>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XxiTcixcvIslSWiEhSJSGDl8a4OLFi2zevDnL1i1dNCEyU0jI6vQiyZYlK1gG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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xf369128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.PairGrid(tips,\n",
    "                 x_vars=[\"smoker\", \"time\", \"sex\"],\n",
    "                 y_vars=[\"total_bill\", \"tip\"],\n",
    "                 aspect=.75, size=3.5)\n",
    "g.map(sns.violinplot, palette=\"pastel\") # pairplot中kind参数只能设置‘scatter’和‘reg’，所以绘制小提琴图只能用PairGrid对象的map方法"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Axis grids对象\n",
    "+ FacetGrid  \n",
    "Subplot grid for plotting conditional relationships.\n",
    "+ PairGrid  \n",
    "Subplot grid for plotting pairwise relationships in a dataset.\n",
    "+ JointGrid  \n",
    "Grid for drawing a bivariate plot with marginal univariate plots."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "+ FacetGrid对象 + map方法、sns.factorplot() + kind参数  \n",
    "第5章“绘制分面类别图”部分\n",
    "\n",
    "+ PairGrid对象 + map方法、sns.pairplot() + kind参数  \n",
    "第4章“多个变量相对于一个变量的回归线”部分\n",
    "\n",
    "+ JointGrid对象 + map方法、sns.jointplot() + kind参数\n",
    "第3章“JointGrid对象”部分"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
