将百分比标签添加到三级圆环图

Question

我想为我的三层甜甜圈图中的每个标签和图层添加百分比值。

以下代码适当地生成三层甜甜圈图和图例。 但是，它弄乱了百分比值的显示（请参阅此问题底部的输出图）。

堆栈溢出或其他地方的当前解决方案仅适用于向饼图/甜甜圈图添加百分比值（例如： 我如何使用 matplotlib autopct？ ），但我的饼图/甜甜圈图有三层/级别。 我的代码如下：

import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
fig.set_figheight(7)
fig.set_figwidth(22)

ax1 = fig.add_subplot(121)

first_labels = ["Bonjovi", "Superman", "Darius_royale", "Stargazer_1991_viz", "Obligatory_Vis1", "Gertrude", 'Trimbel', "Olio", "Iniwaka"]
first_sizes = [2000, 300, 200, 100, 100, 150, 40, 30, 700]

second_sizes = [1000, 200, 200, 400, 500, 40, 1, 1, 1000]

third_sizes = [500, 300, 400, 500, 400, 100, 5, 2, 800]

flatui = (sns.diverging_palette(20, 250, n=8))

bigger = plt.pie(first_sizes, colors=flatui, startangle=90, frame=True, radius = 1,
                 wedgeprops={'edgecolor':'k'}, autopct = '%1.1%%f')

smaller = plt.pie(second_sizes, colors=flatui, radius=0.9, startangle=90,
                 wedgeprops={'edgecolor':'k'}, autopct = '%1.1%%f')

smallest = plt.pie(third_sizes, colors=flatui, radius=0.8, startangle=90, 
                  wedgeprops={'edgecolor':'k'}, autopct = '%1.1%%f')

centre_circle = plt.Circle((0, 0), 0.7, color='white', linewidth=0)

plt.gca().add_artist(centre_circle)

# add legend to current ax:
plt.gca().legend(first_labels, loc='center right', bbox_to_anchor=(1,0,.4,1), frameon = True)

plt.show();

上面代码的结果如下：

有人可以指导我如何让百分比值在每个甜甜圈圈内整齐地显示吗？

Answer 1

总结我的评论，这里是我得到更好图形输出的代码，我相信，你正在寻找什么：

import matplotlib.pyplot as plt
import numpy as np


# Example function that you can call from pie(autopct=autopct)
def autopct(pct):
    if pct > 0.5:
        return f'{pct:.2f}%'
    else:
        return ''


fig = plt.figure()
fig.set_figheight(7)
fig.set_figwidth(22)

ax1 = fig.add_subplot(121)

first_labels = (
    'Bonjovi',
    'Superman',
    'Darius Royale',
    'Stargazer 1991 Viz',
    'Obligatory Vis1',
    'Gertrude',
    'Trimbel',
    'Olio',
    'Iniwaka'
)
first_sizes = (2000, 300, 200, 100, 100, 150, 40, 30, 700)
second_sizes = (1000, 200, 200, 400, 500, 40, 1, 1, 1000)
third_sizes = (500, 300, 400, 500, 400, 100, 5, 2, 800)

flatui = (sns.diverging_palette(20, 250, n=8))

bigger = plt.pie(
    first_sizes,
    colors=flatui,
    startangle=90,
    frame=True,
    radius=1,
    wedgeprops={'edgecolor':'k'},
#    autopct='%.2f%%',
    autopct=autopct,
    pctdistance=1
)

smaller = plt.pie(
    second_sizes,
    colors=flatui,
    radius=0.9,
    startangle=90,
    wedgeprops={'edgecolor':'k'},
#    autopct='%.2f%%',
    autopct=autopct,
    pctdistance=.9
)

smallest = plt.pie(
    third_sizes,
    colors=flatui,
    radius=0.8,
    startangle=90,
    wedgeprops={'edgecolor':'k'},
#    autopct='%.2f%%',
    autopct=autopct,
    pctdistance=.8
)

centre_circle = plt.Circle((0, 0), 0.7, color='white', linewidth=0)

plt.gca().add_artist(centre_circle)

# add legend to current ax:
plt.gca().legend(
    first_labels,
    loc='center right',
    bbox_to_anchor=(1,0,.4,1),
    frameon=True
)

plt.show()

您需要调整pctdistance直到您对结果感到满意为止。

编辑：

经过一番研究，我写了这个更好的（恕我直言）版本：

import matplotlib.pyplot as plt


fig, ax = plt.subplots()
ax.axis('equal')

sizes = dict(
    first = (2000, 300, 200, 100, 100, 150, 40, 30, 700),
    second = (1000, 200, 200, 400, 500, 40, 1, 1, 1000),
    third = (500, 300, 400, 500, 400, 100, 5, 2, 800)
)

percentiles = dict(
    first = [x*100/sum(sizes['first']) for x in sizes['first']],
    second = [x*100/sum(sizes['second']) for x in sizes['second']],
    third = [x*100/sum(sizes['third']) for x in sizes['third']]
)

labels = dict(
    first = [f"{x:.2f}%" if x >.5 else '' for x in percentiles['first']],
    second = [f"{x:.2f}%" if x >.5 else '' for x in percentiles['second']],
    third = [f"{x:.2f}%" if x >.5 else '' for x in percentiles['third']]
)

width = 0.35
radius = 1.5

first, _ = ax.pie(
    sizes['first'],
    startangle=90,
    radius=radius,
    labeldistance=.9,
    labels=labels['first'],
    rotatelabels=True
)

second, _ = ax.pie(
    sizes['second'],
    radius=radius - width,
    startangle=90,
    labeldistance=.9,
    labels=labels['second'],
    rotatelabels=True
)

third, _ = ax.pie(
    sizes['third'],
    radius=radius - 2 * width,
    startangle=90,
    labeldistance=.9,
    labels=labels['third'],
    rotatelabels=True
)

plt.setp(first + second + third, width=width, edgecolor='white')

plt.show()