问题描述
好的 matplotlib 爱好者,我们知道如何绘制
要获得双圆环图,您可以根据需要在同一图中绘制任意数量的饼图.因此,外饼的 width
设置为其楔形,而内饼的半径小于或等于 1-width
.
将 matplotlib.pyplot 导入为 plt将 numpy 导入为 np图, ax = plt.subplots()ax.axis('相等')宽度 = 0.3cm = plt.get_cmap("tab20c")cout = cm(np.arange(3)*4)饼,_ = ax.pie([120,77,39],半径=1,标签=列表(ABC"),颜色=cout)plt.setp( pie, width=width, edgecolor='white')cin = cm(np.array([1,2,5,6,9,10]))标签 = 列表(地图(".join,zip(列表(aabbcc"),地图(str,[1,2]*3))))pie2, _ = ax.pie([60,60,37,40,29,10],radius=1-width,labels=labels,标签距离=0.7,颜色=cin)plt.setp( pie2, width=width, edgecolor='white')plt.show()
注意:我在 matplotlib 库中也提供了此代码作为 嵌套饼图示例.
Alright matplotlib afficionados, we know how to plot a donut chart, but what is better than a donut chart? A double-donut chart. Specifically: We have a set of elements that fall into disjoint categories and sub-categories of the first categorization. The donut chart should have slices for the categories in the outer ring and slices for the sub-categories in the inner ring, obviously aligned with the outer slices.
Is there any library that provides this or do we need to work this out here?
To obtain a double donut chart, you can plot as many pie charts in the same plot as you want. So the outer pie would have a width
set to its wedges and the inner pie would have a radius that is less or equal 1-width
.
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()
ax.axis('equal')
width = 0.3
cm = plt.get_cmap("tab20c")
cout = cm(np.arange(3)*4)
pie, _ = ax.pie([120,77,39], radius=1, labels=list("ABC"), colors=cout)
plt.setp( pie, width=width, edgecolor='white')
cin = cm(np.array([1,2,5,6,9,10]))
labels = list(map("".join, zip(list("aabbcc"),map(str, [1,2]*3))))
pie2, _ = ax.pie([60,60,37,40,29,10], radius=1-width, labels=labels,
labeldistance=0.7, colors=cin)
plt.setp( pie2, width=width, edgecolor='white')
plt.show()
Note: I made this code also available in the matplotlib gallery as nested pie example.
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