使用matplotlib增加饼图大小，半径参数似乎不起作用

Increasing pie chart size with matplotlib, radius parameter appears to do nothing(使用matplotlib增加饼图大小，半径参数似乎不起作用)

问题描述

试着把馅饼做大。看着文件和其他地方，它说设置半径。似乎无论我在半径中放入哪个值，都不会增加。我发布了完整的代码和它生成的图像。

import matplotlib.pyplot as plt


def autopct_generator(limit):
    """Remove percent on small slices."""
    def inner_autopct(pct):
        return ('%.2f%%' % pct) if pct > limit else ''
    return inner_autopct

labels = 'Frogs', 'Hogs', 'Dogs', 'Logs', 'Test', 'Test2', 'Test3', 
    'Test4', 'Test5', 'Test6', 'Test7', 'Test8', 'Test9', 'Test10', 
    'Test11', 'Test12', 'Test13', 'Test14'
sizes = [15, 30, 45, 10, 10, 24, 13, 18, 28, 20, 13, 15, 5, 1, 18, 10,
         10, 10]
NUM_COLORS = len(sizes)

fig1, ax1 = plt.subplots(figsize=(6, 5))

# set color theme
# https://matplotlib.org/api/pyplot_summary.html#colors-in-matplotlib
theme = plt.get_cmap('bwr')
ax1.set_color_cycle([theme(
    1. * i / NUM_COLORS) for i in range(NUM_COLORS)])

box = ax1.get_position()
ax1.set_position([box.x0, box.y0, box.width * 1.3, box.height])

_, _, autotexts = ax1.pie(
    sizes, autopct=autopct_generator(7), startangle=90, radius=1.8 * 1000)
for autotext in autotexts:
    autotext.set_weight('bold')
ax1.axis('equal')
total = sum(sizes)
plt.legend(
    loc='upper left',
    labels=['%s, %1.1f%%' % (
        l, (float(s) / total) * 100) for l, s in zip(labels, sizes)],
    prop={'size': 12},
    bbox_to_anchor=(0.0, 1),
    bbox_transform=fig1.transFigure
)
# fig1.set_size_inches(18.5, 10.5)
fig1.savefig('chart.png')

推荐答案

如果打开饼图的轴，

ax.pie(..., radius=1800, frame=True)

您将看到半径确实被正确应用。

如果要让轴在绘图中显示得更大，可以使用subplot parameters。

fig.subplots_adjust(left,bottom,right,top)

示例代码：

import matplotlib.pyplot as plt

sizes = [15, 30, 45, 10, 10, 24, 13, 18, 28, 20, 13, 15, 5, 1, 18, 10,
         10, 10]
labels = ["Frogs %s" % i for i in sizes]

fig1, ax1 = plt.subplots(figsize=(6, 5))
fig1.subplots_adjust(0.3,0,1,1)


theme = plt.get_cmap('bwr')
ax1.set_prop_cycle("color", [theme(1. * i / len(sizes)) for i in range(len(sizes))])

_, _ = ax1.pie(sizes, startangle=90)

ax1.axis('equal')

total = sum(sizes)
plt.legend(
    loc='upper left',
    labels=['%s, %1.1f%%' % (
        l, (float(s) / total) * 100) for l, s in zip(labels, sizes)],
    prop={'size': 11},
    bbox_to_anchor=(0.0, 1),
    bbox_transform=fig1.transFigure
)

plt.show()

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