Python Pyplot Class
Pyplot is a Matplotlib module that provides a MATLAB-like interface. Pyplot provides functions that interact with the figure i.e. creates a figure, decorates the plot with labels, and creates a plotting area in a figure.
Syntax: matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs)
Example
# Python program to show pyplot module
import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4], [1, 4, 9, 16])
plt.axis([0, 6, 0, 20])
plt.show()
Output
Matplotlib take care of the creation of inbuilt defaults like Figure and Axes. Don’t worry about these terms we will study them in detail in the below section but let’s take a brief about these terms.
Customizing Styles in Matplotlib
Here, we’ll delve into the fundamentals of Matplotlib, exploring its various classes and functionalities to help you unleash the full potential of your data visualization projects. From basic plotting techniques to advanced customization options, this guide will equip you with the knowledge needed to create stunning visualizations with Matplotlib. So, let’s dive in and discover how to effectively utilize Matplotlib for your data visualization needs.
Table of Content
- Getting Started with Matplotlib
- Exploring Different Plot Styles with Matplotlib
- Matplotlib Figure Class
- Python Pyplot Class
- Matplotlib Axes Class
- Set Colors in Matplotlib
- Add Text, Font and Grid lines in Matplotlib
- Custom Legends with Matplotlib
- Matplotlib Ticks and Tick Labels
- Style Plots using Matplotlib
- Create Multiple Subplots in Matplotlib
- Working With Images In Matplotlib