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   "source": [
    "### <center>San Jose State University<br>Department of Applied Data Science<br><br>**DATA 200<br>Computational Programming for Data Analytics**<br><br>Spring 2024<br>Instructor: Ron Mak</center>"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "# Pie Charts: Water Usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "## Pie chart parameters\n",
    "#### To create a pie chart, call `plt.pie(x, explode, labels, autopct)`, where\n",
    "- #### `x` is a sequence of the proportions of the slice sizes\n",
    "- #### `explode` is a sequence of the fractions of the radius offets for the slices (optional)\n",
    "- #### `labels` is the sequence of labels for the slices (optional)\n",
    "- #### `autopct` shows percentages inside the slices according for the format string (optinal)\n",
    "#### Example:"
   ]
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   "source": [
    "plt.pie([0.4, 0.3, 0.2, 0.1],\n",
    "        explode=[0.1, 0, 0, 0],\n",
    "        labels=['Dept. A', 'Dept. B', 'Dept. C', 'Dept. D'])\n",
    "\n",
    "plt.title('Departmental Shares')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Use a pie chart to visualize the water usage. Highlight one usage of your choice using the explode parameter. Show the percentages for each slice and add a title."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('water_usage.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the figure.\n",
    "plt.figure(figsize=(8, 8), dpi=300)\n",
    "\n",
    "# Create the pie chart.\n",
    "plt.pie('Percentage', explode=(0, 0, 0.1, 0, 0, 0), \n",
    "        labels='Usage', data=data, autopct='%.0f%%')\n",
    "\n",
    "plt.title('Water usage')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Adapted from ***Data Visualization with Python***, by Mario Döbler and Tim Großmann, Packt 2019, ISBN 978-1-78995-646-7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Additional material (c) 2024 by Ronald Mak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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