stem_plot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Stem Plot\n",
    "\n",
    "\n",
    "`~.pyplot.stem` plots vertical lines from a baseline to the y-coordinate and\n",
    "places a marker at the tip.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.linspace(0.1, 2 * np.pi, 41)\n",
    "y = np.exp(np.sin(x))\n",
    "\n",
    "plt.stem(x, y, use_line_collection=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The position of the baseline can be adapted using *bottom*.\n",
    "The parameters *linefmt*, *markerfmt*, and *basefmt* control basic format\n",
    "properties of the plot. However, in contrast to `~.pyplot.plot` not all\n",
    "properties are configurable via keyword arguments. For more advanced\n",
    "control adapt the line objects returned by `~.pyplot`.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "markerline, stemlines, baseline = plt.stem(\n",
    "    x, y, linefmt='grey', markerfmt='D', bottom=1.1, use_line_collection=True)\n",
    "markerline.set_markerfacecolor('none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------\n",
    "\n",
    "References\n",
    "\"\"\"\"\"\"\"\"\"\"\n",
    "\n",
    "The use of the following functions, methods, classes and modules is shown\n",
    "in this example:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "matplotlib.pyplot.stem\n",
    "matplotlib.axes.Axes.stem"
   ]
  }
 ],
 "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": 1
}