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      "cell_type": "markdown",
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      "source": [
        "\n# Create 2D bar graphs in different planes\n\nDemonstrates making a 3D plot which has 2D bar graphs projected onto\nplanes y=0, y=1, etc.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\n\nfig = plt.figure()\nax = fig.add_subplot(projection='3d')\n\ncolors = ['r', 'g', 'b', 'y']\nyticks = [3, 2, 1, 0]\nfor c, k in zip(colors, yticks):\n    # Generate the random data for the y=k 'layer'.\n    xs = np.arange(20)\n    ys = np.random.rand(20)\n\n    # You can provide either a single color or an array with the same length as\n    # xs and ys. To demonstrate this, we color the first bar of each set cyan.\n    cs = [c] * len(xs)\n    cs[0] = 'c'\n\n    # Plot the bar graph given by xs and ys on the plane y=k with 80% opacity.\n    ax.bar(xs, ys, zs=k, zdir='y', color=cs, alpha=0.8)\n\nax.set_xlabel('X')\nax.set_ylabel('Y')\nax.set_zlabel('Z')\n\n# On the y-axis let's only label the discrete values that we have data for.\nax.set_yticks(yticks)\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags::\n   plot-type: 3D, plot-type: bar,\n   styling: color,\n   level: beginner\n\n"
      ]
    }
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