Plotting quarterly sales.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "q = ['Q1', 'Q2', 'Q3', 'Q4']\n",
    "y = {2017: 0, 2018: 1, 2019: 2}\n",
    "sales = np.array([\n",
    "    [425, 366, 498, 403],\n",
    "    [486, 385, 546, 432],\n",
    "    [474, 390, 538, 412]\n",
    "])\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (12,6)\n",
    "X = np.arange(1, 5)\n",
    "plt.grid(ls='--')\n",
    "plt.bar(X - 0.25, sales[y[2017]], width=0.2)\n",
    "plt.bar(X,        sales[y[2018]], width=0.2, tick_label=q)\n",
    "plt.bar(X + 0.25, sales[y[2019]], width=0.2)\n",
    "\n",
    "plt.legend(loc=(0.85,0.8), labels=y.keys())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.grid(ls='--')\n",
    "plt.bar(y.values(), sales[:, 0], tick_label=list(y.keys()))\n",
    "plt.bar(y.values(), sales[:, 1], bottom=sales[:, 0])\n",
    "plt.bar(y.values(), sales[:, 2], bottom=sales[:, 0] + sales[:, 1])\n",
    "plt.bar(y.values(), sales[:, 3], bottom=sales[:, 0] + sales[:, 1] + sales[:, 2])\n",
    "\n",
    "plt.legend(loc=(0.98, 0.8), labels=q)\n",
    "plt.show()"
   ]
  }
 ],
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