Using Matplotlib's LaTeX for Math Typesetting

Introduction

In this tutorial, we will learn how to use Matplotlib's internal LaTeX parser and layout engine to create math text. We will be using Python programming language to write the code.

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Skills Graph

Importing Libraries

In this step, we will import the necessary libraries - matplotlib.

import matplotlib.pyplot as plt

Creating a Figure

In this step, we will create a figure and an axis object using the subplots() function.

fig, ax = plt.subplots()

Adding a Plot

In this step, we will add a plot to the axis object using the plot() function.

ax.plot([1, 2, 3], label=r'$\sqrt{x^2}$')
ax.legend()

Setting Labels

In this step, we will set the labels for the x and y-axis using the set_xlabel() and set_ylabel() functions.

ax.set_xlabel(r'$\Delta_i^j$', fontsize=20)
ax.set_ylabel(r'$\Delta_{i+1}^j$', fontsize=20)

Setting Title

In this step, we will set the title for the plot using the set_title() function.

ax.set_title(r'$\Delta_i^j \hspace{0.4} \mathrm{versus} \hspace{0.4} '
             r'\Delta_{i+1}^j$', fontsize=20)

Adding Text

In this step, we will add text to the plot using the text() function.

tex = r'$\mathcal{R}\prod_{i=\alpha_{i+1}}^\infty a_i\sin(2 \pi f x_i)$'
ax.text(1, 1.6, tex, fontsize=20, va='bottom')

Adjusting Layout

In this step, we will adjust the layout of the plot using the tight_layout() function.

fig.tight_layout()

Displaying the Plot

In this step, we will display the plot using the show() function.

plt.show()

Summary

In this tutorial, we have learned how to use Matplotlib's internal LaTeX parser and layout engine to create math text. We have also learned how to create a plot, add labels, title, text, and adjust the layout. This tutorial can be used as a reference for creating plots with math text in Matplotlib.