Top 10 Python Pandas Plot Types for Stunning Data Visualizations

Explore Pandas for easy data analysis, manipulation, and visualization in Python. Learn to plot line graphs, bar charts, histograms, and more with simple commands.

Pandas is an open-source library for data analysis and manipulation, built on the Python programming language.

Pandas include some plotting features, all based on the Matplotlib library. So, any plot created by Pandas is actually a Matplotlib object.

Technically, Pandas’ `plot()` method offers various plot types through the `kind` keyword, allowing you to create visually appealing plots.

By default, the `kind` parameter is set to ‘line’. You can assign 11 different string values to `kind` to generate different types of plots.

Additionally, `.plot` is an attribute of Pandas DataFrame and Series objects, offering a subset of Matplotlib’s plotting functions.

Pandas simplifies plotting by automating much of the data visualization process, making it as easy as writing a single line of code.