{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <b>barplot<b>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b><font color=\"blue\" style=\"font-family:'Courier New'\">fivecentplots </font></b> can plot bar charts using  `fcp.bar`.  At a minimum, the `bar` function requires the following keywords:\n",
    "<ul>\n",
    "<li>`df`: a pandas DataFrame</li>\n",
    "<li>`x`: the name of the categorical data column\n",
    "<li>`y`: the name of the DataFrame column containing the values for the data in column `x`</li>\n",
    "</ul>"
   ]
  },
  {
   "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": "markdown",
   "metadata": {},
   "source": [
    "Read some fake bar chart 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>Liquid</th>\n",
       "      <th>pH</th>\n",
       "      <th>Measurement</th>\n",
       "      <th>T [C]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lemon juice</td>\n",
       "      <td>2.4</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Orange juice</td>\n",
       "      <td>3.5</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Battery acid</td>\n",
       "      <td>1.0</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bottled water</td>\n",
       "      <td>6.7</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coke</td>\n",
       "      <td>3.0</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Liquid   pH Measurement  T [C]\n",
       "0    Lemon juice  2.4           A     25\n",
       "1   Orange juice  3.5           A     25\n",
       "2   Battery acid  1.0           A     25\n",
       "3  Bottled water  6.7           A     25\n",
       "4           Coke  3.0           A     25"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(osjoin(os.path.dirname(fcp.__file__), 'tests', 'fake_data_bar.csv'))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set theme"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Optionally set the design theme"
   ]
  },
  {
   "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": [
    "## Bar plot types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vertical"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Consider a DataFrame that contains several sets of measured pH data for various liquids.  First we plot only one set of measured data (note that we envoke the keyword to rotate the x tick labels so they are all readable):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 484.125x568 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, filter='Measurement==\"A\" & T [C]==25', tick_labels_major_x_rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Horizontal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can plot the same data horizontally by adding the keyword ``horizontal=True`` (notice now we do not need to rotate tick labels):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 579.5x488 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, filter='Measurement==\"A\"', horizontal=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Error bars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can include all measurement sets in a single bar char.  **Now the bars represent the mean value of all data sets**.  We can also add error bars to indidcate the standard deviation between measurements:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 494.625x568 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, error_bars=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grouping"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Like the <font style=\"font-family:'Courier New'\">plot</font> function, bar plots can grouped in various ways to provide further insight intot the data set.  This includes a `legend`, \"stacking\", `row` and/or `col` subplot values, and `wrap` values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Legend"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With a legend, each measurement set can be explicitly displayed in subsequent bars:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 597.958x568 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, legend='Measurement')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stacked"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, we can stack the measurements to give a cumulative bar using the keyword `stacked=True` (which makes absolutely no sense for this data set but whatever):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 597.833x568 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, stacked=True, legend='Measurement')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Row/column plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can separate different conditions using row/col plots as shown below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1094.5x838 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, col='Measurement', row='T [C]', ax_hlines=0, ax_size=[300, 300])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wrap plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, we can use a `wrap` plot to visualize:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 694.625x858 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, wrap='Measurement', ax_size=[300, 300])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "781px",
    "left": "0px",
    "right": "1152px",
    "top": "119px",
    "width": "212px"
   },
   "toc_section_display": "block",
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}