{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <b>hist</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `hist` function allows histogram visualizing DataFrame data.  At a minimum, the `hist` function requires the following keywords:\n",
    "<ul>\n",
    "<li> `df`: a pandas DataFrame</li>\n",
    "<li> `x`: the name of the DataFrame column containing the x-axis data </li>\n",
    "</ul>\n",
    "\n",
    "The y-axis will display the histogram counts for the specified data set.  \n",
    "\n",
    "Other optional keywords for this function are described in <a href=\"https://endangeredoxen.github.io/fivecentplots/keyword.html\">Keyword Arguments</a>."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "import fivecentplots as fcp\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os, sys, pdb\n",
    "osjoin = os.path.join\n",
    "st = pdb.set_trace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sample data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Batch</th>\n",
       "      <th>Sample</th>\n",
       "      <th>Region</th>\n",
       "      <th>Value</th>\n",
       "      <th>ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>Alpha123</td>\n",
       "      <td>3.5</td>\n",
       "      <td>ID701223A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>Alpha123</td>\n",
       "      <td>2.1</td>\n",
       "      <td>ID7700-1222B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>Alpha123</td>\n",
       "      <td>3.3</td>\n",
       "      <td>ID701223A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>Alpha123</td>\n",
       "      <td>3.2</td>\n",
       "      <td>ID7700-1222B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>Alpha123</td>\n",
       "      <td>4.0</td>\n",
       "      <td>ID701223A</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Batch  Sample    Region  Value            ID\n",
       "0    101       1  Alpha123    3.5     ID701223A\n",
       "1    101       1  Alpha123    2.1  ID7700-1222B\n",
       "2    101       1  Alpha123    3.3     ID701223A\n",
       "3    101       1  Alpha123    3.2  ID7700-1222B\n",
       "4    101       1  Alpha123    4.0     ID701223A"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(osjoin(os.path.dirname(fcp.__file__), 'tests', 'fake_data_box.csv'))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set theme"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(Only needs to be run once)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#fcp.set_theme('gray')\n",
    "#fcp.set_theme('white')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Other"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "SHOW = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple histogram"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vertical bars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A simple histogram with default bin size of 20:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 493.125x481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.hist(df=df, x='Value', show=SHOW)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Horizontal bars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Same data as above but with histogram bars oriented horizontally:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 493.125x481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.hist(df=df, x='Value', show=SHOW, horizontal=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Legend"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add a legend:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 616.625x481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.hist(df=df, x='Value', show=SHOW, legend='Region')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Kernal density estimator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 631.625x481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.hist(df=df, x='Value', show=SHOW, legend='Region', kde=True, kde_width=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Row/column plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make multiple subplots with different row/column values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1066.62x931 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.hist(df=df, x='Value', show=SHOW, legend='Region', col='Batch', row='Sample', ax_size=[250, 250])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wrap plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### By column values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 716.625x671 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.hist(df=df, x='Value', show=SHOW, legend='Region', wrap='Batch', ax_size=[250, 250], horizontal=True) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### By column names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1029.38x331 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Value*2'] = 2*df['Value']\n",
    "df['Value*3'] = 3*df['Value']\n",
    "fcp.hist(df=df, x=['Value', 'Value*2', 'Value*3'], wrap='x', show=SHOW, ncol=3, ax_size=[250, 250])"
   ]
  }
 ],
 "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": "3.6.4"
  },
  "toc": {
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "toc_cell": false,
   "toc_position": {
    "height": "829px",
    "left": "0px",
    "right": "1161px",
    "top": "119px",
    "width": "212px"
   },
   "toc_section_display": "block",
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}