pandas 熊猫饼图图删除楔形上的标签文本
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pandas pie chart plot remove the label text on the wedge
提问by fast tooth
the pie chart example on pandas plotting tutorial http://pandas.pydata.org/pandas-docs/version/0.15.0/visualization.htmlgenerates the following figure:
pandas 绘图教程http://pandas.pydata.org/pandas-docs/version/0.15.0/visualization.html上的饼图示例生成下图：
with this code:
使用此代码：
import matplotlib.pyplot as plt
plt.style.use('ggplot')
import numpy as np
np.random.seed(123456)
import pandas as pd
df = pd.DataFrame(3 * np.random.rand(4, 2), index=['a', 'b', 'c', 'd'], columns=['x', 'y'])
f, axes = plt.subplots(1,2, figsize=(10,5))
for ax, col in zip(axes, df.columns):
df[col].plot(kind='pie', autopct='%.2f', labels=df.index, ax=ax, title=col, fontsize=10)
ax.legend(loc=3)
plt.show()
I want to remove the text label (a,b,c,d) from both subplots, because for my application those label are long, so I only want to show them in legend.
我想从两个子图中删除文本标签 (a,b,c,d)，因为对于我的应用程序，这些标签很长，所以我只想在图例中显示它们。
After read this: How to add a legend to matplotlib pie chart?, I figure out an way with matplotlib.pyplot.piebut the figure is not as fancy even if i am still using ggplot.
阅读本文后：如何向 matplotlib 饼图添加图例？，我想出了一个方法，matplotlib.pyplot.pie但即使我仍在使用 ggplot，这个数字也不那么花哨。
f, axes = plt.subplots(1,2, figsize=(10,5))
for ax, col in zip(axes, df.columns):
patches, text, _ = ax.pie(df[col].values, autopct='%.2f')
ax.legend(patches, labels=df.index, loc='best')
My question is, is there a way that can combine the things I want from both side? to be clear, I want the fanciness from pandas, but remove the text from the wedges.
我的问题是，有没有一种方法可以将我想要的东西从双方结合起来？明确地说，我想要熊猫的幻想，但从楔子中删除文本。
Thank you
谢谢
回答by iayork
You can turn off the labels in the chart, and then define them within the call to legend:
您可以关闭图表中的标签，然后在调用中定义它们legend：
df[col].plot(kind='pie', autopct='%.2f', labels=['','','',''], ax=ax, title=col, fontsize=10)
ax.legend(loc=3, labels=df.index)
or
或者
... labels=None ...
回答by Hedscan
Using pandas you can still use the matplotlib.pyplot.pie keyword labeldistanceto remove the wedge labels.
eg. df.plot.pie(subplots=True, labeldistance=None, legend=True)
使用熊猫，您仍然可以使用 matplotlib.pyplot.pie 关键字labeldistance来删除楔形标签。
例如。df.plot.pie（子图=真，标签距离=无，图例=真）
From the docs:labeldistance: floator None, optional, default: 1.1
The radial distance at which the pie labels are drawn. If set to None, label are not drawn, but are stored for use in legend()
从文档：labeldistance：float或None，可选的，默认：1.1
在其中馅饼标签画出的径向距离。如果设置为None，则不绘制标签，而是存储以供在legend()
In context:
在上下文中：
import matplotlib.pyplot as plt
plt.style.use('ggplot')
import numpy as np
np.random.seed(123456)
import pandas as pd
df = pd.DataFrame(3 * np.random.rand(4, 2), index=['a', 'b', 'c', 'd'], columns=['x', 'y'])
df.plot.pie(subplots=True, figsize=(10,5), autopct='%.2f', fontsize=10, labeldistance=None);
plt.show()
