Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.” “Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. If this is the first time you’ve heard of matplotlib, here’s the official description: Let’s put a formal definition to matplotlib before we dive into the crux of the article.
Note: If you’re new to the world of Python, we highly recommend taking the below popular free courses: matplotlib is useful whether you’re performing data exploration for a machine learning project or simply want to create dazzling and eye-catching charts. There are a number of visualizations we can choose from to present our results, as we’ll soon see in this tutorial.įrom histograms to scatterplots, matplotlib lays down an array of colors, themes, palettes, and other options to customize and personalize our plots. Matplotlib provides an easy but comprehensive visual approach to present our findings. There is a reason why matplotlib is the most popular Python library for data visualization and exploration – the flexibility and agility it offers is unparalleled!
It was the first visualization library I learned to master and it has stayed with me ever since. I love working with matplotlib in Python. Matplotlib – The Most Popular Python Library for Data Visualization and Exploration