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

一个简单的问题:我正在尝试使用matplotlib.pyplot来缩小图例的大小(即，将文本缩小).我正在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关键字来设置图例的单个字体大小.

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

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

这将使用与matplotlib.font_manager.FontProperties属性相对应的关键字字典.请参见有关图例的文档:

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

关键字参数:

Keyword arguments:

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.

从版本 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.

这篇关于如何使用matplotlib.pyplot更改图例大小的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！