{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Plot 2D data on 3D plot\n\nDemonstrates using ax.plot's *zdir* keyword to plot 2D data on\nselective axes of a 3D plot.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\nax = plt.figure().add_subplot(projection='3d')\n\n# Plot a sin curve using the x and y axes.\nx = np.linspace(0, 1, 100)\ny = np.sin(x * 2 * np.pi) / 2 + 0.5\nax.plot(x, y, zs=0, zdir='z', label='curve in (x, y)')\n\n# Plot scatterplot data (20 2D points per colour) on the x and z axes.\ncolors = ('r', 'g', 'b', 'k')\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\nx = np.random.sample(20 * len(colors))\ny = np.random.sample(20 * len(colors))\nc_list = []\nfor c in colors:\n    c_list.extend([c] * 20)\n# By using zdir='y', the y value of these points is fixed to the zs value 0\n# and the (x, y) points are plotted on the x and z axes.\nax.scatter(x, y, zs=0, zdir='y', c=c_list, label='points in (x, z)')\n\n# Make legend, set axes limits and labels\nax.legend()\nax.set_xlim(0, 1)\nax.set_ylim(0, 1)\nax.set_zlim(0, 1)\nax.set_xlabel('X')\nax.set_ylabel('Y')\nax.set_zlabel('Z')\n\n# Customize the view angle so it's easier to see that the scatter points lie\n# on the plane y=0\nax.view_init(elev=20., azim=-35, roll=0)\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags::\n   plot-type: 3D, plot-type: scatter, plot-type: line,\n   component: axes,\n   level: intermediate\n\n"
      ]
    }
  ],
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