Welcome to the Matplotlib tutorial! Matplotlib is a powerful Python library used for creating static, animated, and interactive visualizations in Python. In this tutorial, you will learn the basics of Matplotlib and how to create various types of plots.

Installation

First, make sure you have Matplotlib installed. You can install it using pip:

pip install matplotlib

Basic Plotting

To create a basic plot, you can use the pyplot module. Here's an example:

import matplotlib.pyplot as plt

x = [0, 1, 2, 3, 4, 5]
y = [0, 1, 4, 9, 16, 25]

plt.plot(x, y)
plt.show()

This will generate a simple line plot with the x-values on the horizontal axis and the y-values on the vertical axis.

Types of Plots

Matplotlib supports various types of plots, such as line plots, scatter plots, bar plots, histograms, and more. Here are a few examples:

  • Line Plot: Display continuous data points.
  • Scatter Plot: Display individual data points.
  • Bar Plot: Display discrete data points.
  • Histogram: Display the distribution of a dataset.
  • Pie Chart: Display the proportion of different categories.

For more information about different plot types, visit the Matplotlib Plot Types page.

Customizing Plots

You can customize plots by changing the color, line style, marker, and more. Here's an example:

plt.plot(x, y, color='red', linestyle='--', marker='o')
plt.title('Line Plot Example')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.grid(True)
plt.show()

This will create a line plot with a red dashed line and blue circles.

Further Reading

For more detailed information and advanced usage, check out the Matplotlib Documentation.

Image Example

Here's an image of a line plot:

Line Plot Example