Matplotlib 中文用户指南 4.7 使用 LaTeX 渲染文本

font.family        : serif
font.serif         : Times, Palatino, New Century Schoolbook, Bookman, Computer Modern Roman
font.sans-serif    : Helvetica, Avant Garde, Computer Modern Sans serif
font.cursive       : Zapf Chancery
font.monospace     : Courier, Computer Modern Typewriter

text.usetex        : true

from matplotlib import rc
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
## for Palatino and other serif fonts use:
#rc('font',**{'family':'serif','serif':['Palatino']})
rc('text', usetex=True)

"""
Demo of TeX rendering.

You can use TeX to render all of your matplotlib text if the rc
parameter text.usetex is set.  This works currently on the agg and ps
backends, and requires that you have tex and the other dependencies
described at http://matplotlib.org/users/usetex.html
properly installed on your system.  The first time you run a script
you will see a lot of output from tex and associated tools.  The next
time, the run may be silent, as a lot of the information is cached in
~/.tex.cache

"""
import numpy as np
import matplotlib.pyplot as plt


# Example data
t = np.arange(0.0, 1.0 + 0.01, 0.01)
s = np.cos(4 * np.pi * t) + 2

plt.rc('text', usetex=True)
plt.rc('font', family='serif')
plt.plot(t, s)

plt.xlabel(r'\textbf{time} (s)')
plt.ylabel(r'\textit{voltage} (mV)',fontsize=16)
plt.title(r"\TeX\ is Number "
          r"$\displaystyle\sum_{n=1}^\infty\frac{-e^{i\pi}}{2^n}$!",
          fontsize=16, color='gray')
# Make room for the ridiculously large title.
plt.subplots_adjust(top=0.8)

plt.savefig('tex_demo')
plt.show()

# -*- coding: utf-8 -*-
"""
This demo is tex_demo.py modified to have unicode. See that file for
more information.
"""

from __future__ import unicode_literals
import numpy as np
import matplotlib
matplotlib.rcParams['text.usetex'] = True
matplotlib.rcParams['text.latex.unicode'] = True
import matplotlib.pyplot as plt

plt.figure(1, figsize=(6, 4))
ax = plt.axes([0.1, 0.1, 0.8, 0.7])
t = np.arange(0.0, 1.0 + 0.01, 0.01)
s = np.cos(2*2*np.pi*t) + 2
plt.plot(t, s)

plt.xlabel(r'\textbf{time (s)}')
plt.ylabel('\\textit{Velocity (\u00B0/sec)}', fontsize=16)
plt.title(r'\TeX\ is Number $\displaystyle\sum_{n=1}^\infty'
          r'\frac{-e^{i\pi}}{2^n}$!', fontsize=16, color='r')
plt.grid(True)
plt.show()