Unicode 字符渲染 [英] Unicode character render

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本文介绍了Unicode 字符渲染的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我找不到在 matlibplot 图表中呈现 unicode 字符的方法:

I can't find a way to render the unicode characters in the matlibplot chart:

 # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
from numpy.random import normal
from itertools import count
import matplotlib
a = {u'\u043f\u0430\u0440\u0435\u0430\u0442\u0430': 0.018144370928201092, u'\u0440\u0435\u043b\u0430\u0442\u0438\u0432\u0438\u0442\u0438\u0441\u0442\u0438\u0447\u043a\u0430\u0442\u0430': 0.008406336989671147, u'\u043d\u0430\u043e\u0453\u0430': 0.0704839024518581, u'\u0444\u0438\u0437\u0438\u043a\u0430': 0.025219010969013446, u'\u043a\u043e\u0438': 0.0039908251856718025, u'\u0438\u0437\u0431\u0443\u0432\u043d\u0430\u043b\u0430': 0.0035792606713834184, u'\u043c\u0435\u0445\u0430\u043d\u0438\u043a\u0430\u0442\u0430': 0.008406336989671147, u'\u043c\u0438\u043a\u0440\u043e\u0434\u0438\u043c\u0435\u043d\u0437\u0438\u0438': 0.008406336989671147, u'\u0434\u0430\u0432\u0430': 0.016812673979342295, u'\u0441\u0442\u0440\u0430\u043d\u0430': 0.008406336989671147}

plt.bar(*zip(*zip(count(), a.values())))
plt.title("Some chart")
plt.xticks(*zip(*zip(count(0.4), (a.keys()))))
plt.xlabel("Value")
plt.ylabel("Frequency")

plt.show()

推荐答案

使用西里尔字母指定字体.例如,

Specify a font with Cyrillic characters. For example,

import matplotlib as mpl
mpl.rcParams['font.family'] = 'Arial'

您的默认字体可能是'Helvetica',它没有所需字符的字形.

Your default font might be 'Helvetica', which does not have glyphs for the required characters.

import matplotlib.pyplot as plt
from numpy.random import normal
from itertools import count
import matplotlib as mpl
mpl.rcParams['font.family'] = 'Arial'
a = {u'\u043f\u0430\u0440\u0435\u0430\u0442\u0430': 0.018144370928201092, u'\u0440\u0435\u043b\u0430\u0442\u0438\u0432\u0438\u0442\u0438\u0441\u0442\u0438\u0447\u043a\u0430\u0442\u0430': 0.008406336989671147, u'\u043d\u0430\u043e\u0453\u0430': 0.0704839024518581, u'\u0444\u0438\u0437\u0438\u043a\u0430': 0.025219010969013446, u'\u043a\u043e\u0438': 0.0039908251856718025, u'\u0438\u0437\u0431\u0443\u0432\u043d\u0430\u043b\u0430': 0.0035792606713834184, u'\u043c\u0435\u0445\u0430\u043d\u0438\u043a\u0430\u0442\u0430': 0.008406336989671147, u'\u043c\u0438\u043a\u0440\u043e\u0434\u0438\u043c\u0435\u043d\u0437\u0438\u0438': 0.008406336989671147, u'\u0434\u0430\u0432\u0430': 0.016812673979342295, u'\u0441\u0442\u0440\u0430\u043d\u0430': 0.008406336989671147}

plt.bar(*zip(*zip(count(), a.values())))
plt.title("Gaussian Histogram")
plt.xticks(*zip(*zip(count(0.4), a.keys())))
plt.xlabel("Value")
plt.ylabel("Frequency")

plt.show()

如果您没有 Arial 字体,您可以使用

If you don't have the Arial font, you can generate a list of font files known to your system with

import matplotlib.font_manager as font_manager
print(sorted(font_manager.findSystemFonts()))

然后您可以使用

prop = font_manager.FontProperties(fname=path)
mpl.rcParams['font.family'] = prop.get_name()

其中 pathfindSystemFonts() 返回的路径之一.

where path is one of the paths returned by findSystemFonts().

这篇关于Unicode 字符渲染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!

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