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      "cell_type": "markdown",
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      "source": [
        "\n# Bar chart on polar axis\n\nDemo of bar plot on a polar axis.\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# Compute pie slices\nN = 20\ntheta = np.linspace(0.0, 2 * np.pi, N, endpoint=False)\nradii = 10 * np.random.rand(N)\nwidth = np.pi / 4 * np.random.rand(N)\ncolors = plt.cm.viridis(radii / 10.)\n\nax = plt.subplot(projection='polar')\nax.bar(theta, radii, width=width, bottom=0.0, color=colors, alpha=0.5)\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. admonition:: References\n\n   The use of the following functions, methods, classes and modules is shown\n   in this example:\n\n   - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`\n   - `matplotlib.projections.polar`\n\n.. tags::\n\n   plot-type: pie\n   plot-type: bar\n   level: beginner\n   purpose: showcase\n\n"
      ]
    }
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