{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# EventCollection Demo\n\nPlot two curves, then use `.EventCollection`\\s to mark the locations of the x\nand y data points on the respective Axes for each curve.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\nfrom matplotlib.collections import EventCollection\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\n# create random data\nxdata = np.random.random([2, 10])\n\n# split the data into two parts\nxdata1 = xdata[0, :]\nxdata2 = xdata[1, :]\n\n# sort the data so it makes clean curves\nxdata1.sort()\nxdata2.sort()\n\n# create some y data points\nydata1 = xdata1 ** 2\nydata2 = 1 - xdata2 ** 3\n\n# plot the data\nfig = plt.figure()\nax = fig.add_subplot(1, 1, 1)\nax.plot(xdata1, ydata1, color='tab:blue')\nax.plot(xdata2, ydata2, color='tab:orange')\n\n# create the events marking the x data points\nxevents1 = EventCollection(xdata1, color='tab:blue', linelength=0.05)\nxevents2 = EventCollection(xdata2, color='tab:orange', linelength=0.05)\n\n# create the events marking the y data points\nyevents1 = EventCollection(ydata1, color='tab:blue', linelength=0.05,\n                           orientation='vertical')\nyevents2 = EventCollection(ydata2, color='tab:orange', linelength=0.05,\n                           orientation='vertical')\n\n# add the events to the axis\nax.add_collection(xevents1)\nax.add_collection(xevents2)\nax.add_collection(yevents1)\nax.add_collection(yevents2)\n\n# set the limits\nax.set_xlim([0, 1])\nax.set_ylim([0, 1])\n\nax.set_title('line plot with data points')\n\n# display the plot\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags::\n\n   plot-type: eventplot\n   level: intermediate\n\n"
      ]
    }
  ],
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      "display_name": "Python 3",
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      "file_extension": ".py",
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