graphbar_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import the package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from graphbar import graphbar as gb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#defining the grouped data\n",
    "\n",
    "grouped_data = {\n",
    "    'Group 1':{\n",
    "        'Item 1':15.5,\n",
    "        'Item 2':20.3,\n",
    "        'Item 3':12.5,\n",
    "    },\n",
    "    'Group 2':{\n",
    "        'Item 1':32.5,\n",
    "        'Item 2':25.3,\n",
    "        'Item 3':17.5,\n",
    "    },\n",
    "    'Group 3':{\n",
    "        'Item 1':42.5,\n",
    "        'Item 2':55.3,\n",
    "        'Item 3':57.5,\n",
    "    },\n",
    "    'Group 4':{\n",
    "        'Item 1':12.5,\n",
    "        'Item 2':25.9,\n",
    "        'Item 3':14.5,\n",
    "    }\n",
    "}\n",
    "\n",
    "#Plot the grouped data\n",
    "gb.plot_bars_by_group(grouped_data=grouped_data, colors = [\"bisque\",\"tan\",\"darkgoldenrod\",\"darkorange\"],\n",
    "                     property_name=\"Grouped Items\",ylabel=\"Item Value\",figsize=(20,6))"
   ]
  },
  {
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}