如何使用 matplotlib.pyplot 更改图例大小 [英] How to change legend size with matplotlib.pyplot

问题描述

这里有一个简单的问题:我正在尝试使用 matplotlib.pyplot 使我的图例的大小变小(即，文本变小).我使用的代码是这样的:

Simple question here: I'm trying to get the size of my legend using matplotlib.pyplot to be smaller (i.e., the text to be smaller). The code I'm using goes something like this:

plot.figure()
plot.scatter(k, sum_cf, color='black', label='Sum of Cause Fractions')
plot.scatter(k, data[:, 0],  color='b', label='Dis 1: cf = .6, var = .2')
plot.scatter(k, data[:, 1],  color='r',  label='Dis 2: cf = .2, var = .1')
plot.scatter(k, data[:, 2],  color='g', label='Dis 3: cf = .1, var = .01')
plot.legend(loc=2)

推荐答案

您可以通过调整 prop 关键字为图例设置单独的字体大小.

You can set an individual font size for the legend by adjusting the prop keyword.

plot.legend(loc=2, prop={'size': 6})

这需要与 matplotlib.font_manager.FontProperties 属性对应的关键字字典.请参阅图例文档:

This takes a dictionary of keywords corresponding to matplotlib.font_manager.FontProperties properties. See the documentation for legend:

关键字参数:

prop: [ None | FontProperties | dict ]
    A matplotlib.font_manager.FontProperties instance. If prop is a 
    dictionary, a new instance will be created with prop. If None, use
    rc settings.

也有可能，从 1.2.1 开始，使用关键字 fontsize.

It is also possible, as of version 1.2.1, to use the keyword fontsize.

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