For an overview of the plotting methods we provide, see Plot types. This page contains example plots. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide. Tagging! You can also browse the example gallery by tags.

A compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. This list helps you to choose what visualization to show for what type of problem using python's matplotlib and seaborn library.

Aug 13, 2021 · Sample plots in Matplotlib¶ Here you'll find a host of example plots with the code that generated them.

Jan 22, 2025 · Matplotlib lets every user style all dimensions of a plot: colors and labels, style and axes. It works well with libraries such as NumPy and Pandas, easy to view structures as plots. Also, Matplotlib supports export in formats like PNG, PDF and SVG that allow plots to be used both for interactive applications and publication.

Jan 16, 2025 · Matplotlib supports a variety of plots including line charts, bar charts, histograms, scatter plots, etc. Let’s understand them with implementation using pyplot. 1. Line Chart. Line chart is one of the basic plots and can be created using the plot () function. It is used to represent a relationship between two data X and Y on a different axis.

matplotlib.pyplot is usually imported as plt. It is the core object that contains the methods to create all sorts of charts and features in a plot. The %matplotlib inline is a jupyter notebook specific command that let’s you see the plots in the notbook itself.

Radar chart with matplotlib. A highly customized radar chart with custom annotations and labels to explore the palmerpenguins dataset made with Python and Matplotlib. by T. Wang. Read tutorial

Dec 12, 2018 · Here in this post, we have shared 13 Matplotlib plots for Data Visualization widely used by Data Scientists or Data Analysts along with Python codes so that you can easily implement them side by side with us. Python’s Matplotlib library plays an important role in visualizing and serve as an important part for an Exploratory Data Analysis step.

Learn how to create beautiful and stunning matplotlib graphs with reproducible code and lots of examples.

Apr 20, 2025 · Let’s now learn how to use Matplotlib in Python. Please ensure either you have opened our online matplotlib compiler or press the “run code” button in the top left of the coding snippets. Exercise 1: Your First Plot – Website Traffic Trend. The purpose of this example is to make you aware of the Matplotlib core components.