.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_pie_and_polar_charts_nested_pie.py: ================= Nested pie charts ================= The following examples show two ways to build a nested pie chart in Matplotlib. Such charts are often referred to as donut charts. .. code-block:: python import matplotlib.pyplot as plt import numpy as np The most straightforward way to build a pie chart is to use the :meth:`pie method ` In this case, pie takes values corresponding to counts in a group. We'll first generate some fake data, corresponding to three groups. In the inner circle, we'll treat each number as belonging to its own group. In the outer circle, we'll plot them as members of their original 3 groups. The effect of the donut shape is achieved by setting a `width` to the pie's wedges through the `wedgeprops` argument. .. code-block:: python fig, ax = plt.subplots() size = 0.3 vals = np.array([[60., 32.], [37., 40.], [29., 10.]]) cmap = plt.get_cmap("tab20c") outer_colors = cmap(np.arange(3)*4) inner_colors = cmap(np.array([1, 2, 5, 6, 9, 10])) ax.pie(vals.sum(axis=1), radius=1, colors=outer_colors, wedgeprops=dict(width=size, edgecolor='w')) ax.pie(vals.flatten(), radius=1-size, colors=inner_colors, wedgeprops=dict(width=size, edgecolor='w')) ax.set(aspect="equal", title='Pie plot with `ax.pie`') plt.show() .. image:: /gallery/pie_and_polar_charts/images/sphx_glr_nested_pie_001.png :class: sphx-glr-single-img However, you can accomplish the same output by using a bar plot on axes with a polar coordinate system. This may give more flexibility on the exact design of the plot. In this case, we need to map x-values of the bar chart onto radians of a circle. The cumulative sum of the values are used as the edges of the bars. .. code-block:: python fig, ax = plt.subplots(subplot_kw=dict(polar=True)) size = 0.3 vals = np.array([[60., 32.], [37., 40.], [29., 10.]]) #normalize vals to 2 pi valsnorm = vals/np.sum(vals)*2*np.pi #obtain the ordinates of the bar edges valsleft = np.cumsum(np.append(0, valsnorm.flatten()[:-1])).reshape(vals.shape) cmap = plt.get_cmap("tab20c") outer_colors = cmap(np.arange(3)*4) inner_colors = cmap(np.array([1, 2, 5, 6, 9, 10])) ax.bar(x=valsleft[:, 0], width=valsnorm.sum(axis=1), bottom=1-size, height=size, color=outer_colors, edgecolor='w', linewidth=1, align="edge") ax.bar(x=valsleft.flatten(), width=valsnorm.flatten(), bottom=1-2*size, height=size, color=inner_colors, edgecolor='w', linewidth=1, align="edge") ax.set(title="Pie plot with `ax.bar` and polar coordinates") ax.set_axis_off() plt.show() .. image:: /gallery/pie_and_polar_charts/images/sphx_glr_nested_pie_002.png :class: sphx-glr-single-img ------------ References """""""""" The use of the following functions, methods, classes and modules is shown in this example: .. code-block:: python import matplotlib matplotlib.axes.Axes.pie matplotlib.pyplot.pie matplotlib.axes.Axes.bar matplotlib.pyplot.bar matplotlib.projections.polar matplotlib.axes.Axes.set matplotlib.axes.Axes.set_axis_off .. _sphx_glr_download_gallery_pie_and_polar_charts_nested_pie.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: nested_pie.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: nested_pie.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_