Matplotlib可以无缝的处理LaTex字体，在图中加入数学公式

from matplotlib.patches import Polygonimport matplotlib.pyplot as pltimport numpy as np# 定义一个求积分的函数def func(x): return 0.3* (x**2) + (0.1*x) + 1# 定义积分区间a, b = 1,2x = np.linspace(0,3)y = func(x)# 绘制曲线fig, ax = plt.subplots(figsize=(14,8))plt.plot(x, y, 'g')plt.ylim(ymin=0)# 使用Polygon生成阴影部分Ix = np.linspace(a, b)Iy = func(Ix)verts = [(a, 0)] + list(zip(Ix, Iy)) + [(b, 0)]ploy = Polygon(verts, facecolor = '0.7', edgecolor='0.5')ax.add_patch(ploy)# 添加数学公式和坐标轴标签# r" "中间为LaTex语法表示的公式plt.text(0.5 * (a+b), 1, r"$\int_a^b f(x)\mathrm{d}x$", horizontalalignment='center', fontsize=20)# 前两个参数是放置文本的坐标plt.figtext(0.9, 0.075,'$x$')plt.figtext(0.075,0.9,'$f(x)$' )ax.set_xticks((a,b))ax.set_xticklabels(('$a$','b'))ax.set_yticks((func(a), func(b)))ax.set_yticklabels(('f(a)','f(b)'))plt.grid(True)plt.show()

补充知识：matplotlib用tex写数学公式

废话不多说，直接看代码吧！

import numpy as npimport matplotlibmatplotlib.rcParams['text.usetex'] = Trueimport matplotlib.pyplot as pltt = np.linspace(0.0, 1.0, 100)s = np.cos(4 * np.pi * t) + 2fig, ax = plt.subplots(figsize=(6, 4), tight_layout=True)ax.plot(t, s)ax.set_xlabel(r'\textbf{time (s)}')ax.set_ylabel('\\textit{Velocity (\N{DEGREE SIGN}/sec)}', fontsize=16)ax.set_title(r'\TeX\ is Number $\displaystyle\sum_{n=1}^\infty' r'\frac{-e^{i\pi}}{2^n}$!', fontsize=16, color='r')plt.show()

以上这篇在Matplotlib图中插入LaTex公式实例就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。