Which library is used for plotting graphs in Python?

Seaborn is more comfortable in handling Pandas data frames . It uses basic sets of methods to provide beautiful graphics in python. Matplotlib works efficiently with data frames and arrays.It treats figures and axes as objects. It contains various stateful APIs for plotting.

Hunter created Matplotlib , a plotting library for Python in 2003. Matplotlib is a low-level plotting library and is one of the most widely used plotting libraries. It is among the first choices to plot graphs for quickly visualizing some data.

1. Matplotlib . With over 461k users on Github, Matplotlib is the most popular and widely-used Python package used by data scientists for creating advanced data visualizations. It would be your primary data visualization library to master while working on data science with the Python programming language.