Google Colaboratory matplotlib图表中的自定义字体 [英] Custom fonts in Google Colaboratory matplotlib charts

问题描述

在本地的matplotlib中使用自定义字体需要将.ttf存储在matplotlib/mpl-data/fonts/ttf/文件夹中，然后调用mpl.font_manager._rebuild()，然后设置mpl.rcParams['font.sans-serif'].

Using custom fonts in matplotlib locally involves storing the .ttfs in the matplotlib/mpl-data/fonts/ttf/ folder, then calling mpl.font_manager._rebuild(), then setting mpl.rcParams['font.sans-serif'].

在Google Colaboratory中，有什么方法似乎无法访问此ttf文件夹吗?

Is there any way to do this in Google Colaboratory, where it doesn't seem that this ttf folder is accessible?

例如，我想使用 Roboto字体.安装后，将使用mpl.rcParams['font.sans-serif'] = 'Roboto'调用.

For example, I'd like to use the Roboto font. After installing, this would be invoked using mpl.rcParams['font.sans-serif'] = 'Roboto'.

推荐答案

ttf文件夹在这里:

/usr/local/lib/python3.6/dist-packages/matplotlib/mpl-data/fonts/ttf

因此，您想在那里下载ttf，例如:

So you want to download the ttf there, e.g.:

!wget https://github.com/Phonbopit/sarabun-webfont/raw/master/fonts/thsarabunnew-webfont.ttf -P /usr/local/lib/python3.6/dist-packages/matplotlib/mpl-data/fonts/ttf

matplotlib.font_manager._rebuild()
matplotlib.rc('font', family='TH Sarabun New')

更新2019-12

_rebuild()不再起作用.这是另一种仍然有效的方法.

update 2019-12

_rebuild() no longer works. Here's another method which still works.

import matplotlib
import matplotlib.font_manager as fm

!wget https://github.com/Phonbopit/sarabun-webfont/raw/master/fonts/thsarabunnew-webfont.ttf
fm.fontManager.ttflist += fm.createFontList(['thsarabunnew-webfont.ttf'])
matplotlib.rc('font', family='TH Sarabun New')

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