Text and Mathtext Using Pyplot | Matplotlib Tutorial | Lab

Introduction

Matplotlib is a powerful data visualization library in Python. It provides a wide range of tools to create graphs and plots in Python. In this tutorial, we will learn how to create text and mathtext using pyplot.

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Skills Graph

%%%%{init: {'theme':'neutral'}}%%%% flowchart RL matplotlib(("`Matplotlib`")) -.-> matplotlib/BasicConceptsGroup(["`Basic Concepts`"]) matplotlib(("`Matplotlib`")) -.-> matplotlib/PlottingDataGroup(["`Plotting Data`"]) matplotlib(("`Matplotlib`")) -.-> matplotlib/PlotCustomizationGroup(["`Plot Customization`"]) python(("`Python`")) -.-> python/DataStructuresGroup(["`Data Structures`"]) python(("`Python`")) -.-> python/ModulesandPackagesGroup(["`Modules and Packages`"]) python(("`Python`")) -.-> python/DataScienceandMachineLearningGroup(["`Data Science and Machine Learning`"]) matplotlib/BasicConceptsGroup -.-> matplotlib/importing_matplotlib("`Importing Matplotlib`") matplotlib/BasicConceptsGroup -.-> matplotlib/figures_axes("`Understanding Figures and Axes`") matplotlib/PlottingDataGroup -.-> matplotlib/line_plots("`Line Plots`") matplotlib/PlotCustomizationGroup -.-> matplotlib/titles_labels("`Adding Titles and Labels`") python/DataStructuresGroup -.-> python/lists("`Lists`") python/DataStructuresGroup -.-> python/tuples("`Tuples`") python/ModulesandPackagesGroup -.-> python/importing_modules("`Importing Modules`") python/DataScienceandMachineLearningGroup -.-> python/numerical_computing("`Numerical Computing`") python/DataScienceandMachineLearningGroup -.-> python/data_visualization("`Data Visualization`") subgraph Lab Skills matplotlib/importing_matplotlib -.-> lab-48888{{"`Creating Text and Mathtext Using Pyplot`"}} matplotlib/figures_axes -.-> lab-48888{{"`Creating Text and Mathtext Using Pyplot`"}} matplotlib/line_plots -.-> lab-48888{{"`Creating Text and Mathtext Using Pyplot`"}} matplotlib/titles_labels -.-> lab-48888{{"`Creating Text and Mathtext Using Pyplot`"}} python/lists -.-> lab-48888{{"`Creating Text and Mathtext Using Pyplot`"}} python/tuples -.-> lab-48888{{"`Creating Text and Mathtext Using Pyplot`"}} python/importing_modules -.-> lab-48888{{"`Creating Text and Mathtext Using Pyplot`"}} python/numerical_computing -.-> lab-48888{{"`Creating Text and Mathtext Using Pyplot`"}} python/data_visualization -.-> lab-48888{{"`Creating Text and Mathtext Using Pyplot`"}} end

Import Required Libraries

First, we need to import the required libraries. We will import numpy and matplotlib.pyplot libraries.

import matplotlib.pyplot as plt
import numpy as np

Create Data

Next, we will create data for the plot. We will create a sine wave using numpy library.

t = np.arange(0.0, 2.0, 0.01)
s = np.sin(2*np.pi*t)

Plot the Graph

Now, we will plot the graph using plot() method of pyplot library.

plt.plot(t, s)

Add Text to the Graph

We can add text to the graph using text() method of pyplot library. We will add "Hello, world!" text at coordinates (0, -1).

plt.text(0, -1, r'Hello, world!', fontsize=15)

Add Title, X-label, and Y-label

We can add title, X-label, and Y-label to the graph using title(), xlabel(), and ylabel() methods of pyplot library. We will add "Voltage vs Time" as the title, "Time [s]" as X-label, and "Voltage [mV]" as Y-label.

plt.title(r'Voltage vs Time', fontsize=20)
plt.xlabel('Time [s]')
plt.ylabel('Voltage [mV]')

Show the Graph

Finally, we will show the graph using show() method of pyplot library.

plt.show()

Summary

In this tutorial, we learned how to create text and mathtext using pyplot. We learned how to add text to the graph, how to add title, X-label, and Y-label to the graph, and how to show the graph using pyplot.

Creating Text and Mathtext Using Pyplot