Matplotlib is one of the most popular Python libraries for data visualization. It is widely used for showing data in 2D graphs and charts. Using matplotlib, users can create exploding, dynamic visualizations that capture their data in a way that is easy to understand and explain. With its simple yet powerful tools, matplotlib has become the go-to library for data visualization.
In this post, we will dive into the eight most important facts about matplotlib that every data visualization enthusiast should know.
1. Matplotlib is Open Source and Free
Matplotlib is an open-source library allowing users to create and modify visualizations freely. It has an extensive library of functions that can customize the visuals to capture various data views. It is also free to use and download, making it a popular choice among users.
2. Matplotlib Has Constant Updates
Matplotlib is constantly being updated and improved upon. The library is updated regularly to ensure that library remains up to date with the latest trends in data visualization.
3. Visualizations with Matplotlib are Easily Customizable
Using matplotlib, users can easily customize their visualizations to create unique, dynamic visuals. The library has a wide range of features that make it easy to customize visuals to capture data in various ways.
4. Scientists developed matplotlib
John Hunter first developed matplotlib. Hunter was an American scientist who specialized in neuroscience. He developed the library to make data visualization accessible to scientists.
5. Matplotlib is Community Driven
Matplotlib has a thriving community of users actively developing and improving the library. The community is always looking for ways to make matplotlib better, and new updates and features are regularly added.
6. Matplotlib is Compatible with All Major Platforms
Matplotlib is compatible with all major Python platforms, including Windows, Mac, and Linux. This makes the library accessible to almost anyone looking to use matplotlib to create their visualizations.
7. Matplotlib is Easy to Learn
Matplotlib is user-friendly and easy to learn. It is designed so that users of all skill levels can quickly get up and running with the library. Matplotlib also features several tutorials and documentation that make it easy to start quickly.
8. Matplotlib Features a Variety of Visualizations
Matplotlib features various visualization types, including line graphs, Piecharts, Histograms and Bar Charts. With matplotlib, users can create visuals that capture data in various ways.
Matplotlib is a powerful Python library for data visualization. It has been used by some of the biggest companies in the industry and continues to be updated regularly. It has a thriving community of users constantly looking for ways to improve the library. The library is open source, easy to learn, and provides users with a wide range of visualization tools.