更改matplotlib饼图上的autopct标签位置 [英] Change autopct label position on matplotlib pie chart

问题描述

我正在matplotlib中绘制一些饼图，并且我的一些图表上的百分比标签彼此重叠并且看起来很乱.有没有一种方法可以更改文本的位置，使文本全部可读? 下面是我得到的示例-类别其他"和"ALD2_OH"重叠且不可读.

I'm plotting some pie charts in matplotlib and the percentage labels on some of my charts overlap each other and look messy. Is there a way to change the position of the text so it is all readable? And example of what I'm getting is below - the category 'Others' and 'ALD2_OH' are overlapping and are unreadable.

我的绘图代码在这里:

matplotlib.rcParams.update({'font.size': 18})
plt.figure(figsize=(11,11))

labels = ['ALD2 + OH','PAN + $therm$','ALD2 + NO$_3$','ATOOH + $hv$',
          'Others',]

colours = ['BlueViolet','DarkMagenta','DarkOrchid','DarkViolet','Purple'
           ]

patches, texts,autotexts = plt.pie(main_producers, labels=labels, colors = colours,
        autopct='%1.1f%%', startangle = 90)

plt.title('Contribution to MCO$_3$ yeild')

希望有人可以提供帮助！

Hope someone can help!

谢谢

推荐答案

您可能想将autotexts窄楔形物从楔形物的中心沿半径移动:

You might want to move autotexts of narrow wedges from the center of the wedge along the radius:

for patch, txt in zip(patches, autotexts):
    # the angle at which the text is located
    ang = (patch.theta2 + patch.theta1) / 2.
    # new coordinates of the text, 0.7 is the distance from the center 
    x = patch.r * 0.7 * np.cos(ang*np.pi/180)
    y = patch.r * 0.7 * np.sin(ang*np.pi/180)
    # if patch is narrow enough, move text to new coordinates
    if (patch.theta2 - patch.theta1) < 10.:
        txt.set_position((x, y))

这产生了(我在某种程度上模拟了您的数据):

This yields (I simulated your data to some extent):

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