Plotnine/geom_boxplot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2021-03-04T13:01:39.382717Z",
     "iopub.status.busy": "2021-03-04T13:01:39.379117Z",
     "iopub.status.idle": "2021-03-04T13:01:44.264963Z",
     "shell.execute_reply": "2021-03-04T13:01:44.263144Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from plotnine import *\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A box and whiskers plot\n",
    "\n",
    "*The boxplot compactly displays the distribution of a continuous variable.*\n",
    "\n",
    "Read more:\n",
    "+ [wikipedia](https://en.wikipedia.org/wiki/Box_plot)\n",
    "+ [ggplot2 docs](https://ggplot2.tidyverse.org/reference/geom_boxplot.html)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-04T13:01:44.307836Z",
     "iopub.status.busy": "2021-03-04T13:01:44.295419Z",
     "iopub.status.idle": "2021-03-04T13:01:44.328298Z",
     "shell.execute_reply": "2021-03-04T13:01:44.329992Z"
    }
   },
   "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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949</td>\n",
       "      <td>January</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949</td>\n",
       "      <td>February</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1949</td>\n",
       "      <td>March</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1949</td>\n",
       "      <td>April</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1949</td>\n",
       "      <td>May</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year     month  passengers\n",
       "0  1949   January         112\n",
       "1  1949  February         118\n",
       "2  1949     March         132\n",
       "3  1949     April         129\n",
       "4  1949       May         121"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flights = pd.read_csv('data/flights.csv')\n",
    "flights.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Basic boxplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-04T13:01:44.343752Z",
     "iopub.status.busy": "2021-03-04T13:01:44.341691Z",
     "iopub.status.idle": "2021-03-04T13:01:44.350415Z",
     "shell.execute_reply": "2021-03-04T13:01:44.348496Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n"
     ]
    }
   ],
   "source": [
    "months = [month[:3] for month in flights.month[:12]]\n",
    "print(months)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-04T13:01:44.410406Z",
     "iopub.status.busy": "2021-03-04T13:01:44.372310Z",
     "iopub.status.idle": "2021-03-04T13:01:49.915716Z",
     "shell.execute_reply": "2021-03-04T13:01:49.917229Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (97654321012345679)>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(\n",
    "    ggplot(flights) \n",
    "    + geom_boxplot(aes(x='factor(month)', y='passengers'))\n",
    "    + scale_x_discrete(labels=months, name='month')  # change ticks labels on OX\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Horizontal boxplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-04T13:01:50.042123Z",
     "iopub.status.busy": "2021-03-04T13:01:49.950968Z",
     "iopub.status.idle": "2021-03-04T13:01:56.241321Z",
     "shell.execute_reply": "2021-03-04T13:01:56.239440Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (97654321012345679)>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(\n",
    "    ggplot(flights) \n",
    "    + geom_boxplot(aes(x='factor(month)', y='passengers'))\n",
    "    + coord_flip()\n",
    "    + scale_x_discrete(\n",
    "        labels=months[::-1], \n",
    "        limits=flights.month[12::-1],\n",
    "        name='month',\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Boxplot with jittered points:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-04T13:01:56.341097Z",
     "iopub.status.busy": "2021-03-04T13:01:56.269569Z",
     "iopub.status.idle": "2021-03-04T13:02:01.714381Z",
     "shell.execute_reply": "2021-03-04T13:02:01.715835Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (97654321012345679)>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(\n",
    "    ggplot(flights, aes(x='factor(month)', y='passengers')) \n",
    "    + geom_boxplot()\n",
    "    + geom_jitter()\n",
    "    + scale_x_discrete(labels=months, name='month')  # change ticks labels on OX\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}