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The most popular data visualization python library in 2023. It turns your dataframe into an interactive data exploration app like tableau/powerBI with one line of code. It provides simple drag-and-drop/chat interface for you to build charts. It can run in juypter notebook, which means you do not need to switch between your code and the visualization app. Besides, you can also build interactive spitial visualization on maps with it. And it also has Javascript and R version.
Github: https://github.com/matplotlib/matplotlib
Github: https://github.com/plotly/plotly.py
Github: https://github.com/bokeh/bokeh
Github: https://github.com/mwaskom/seaborn
Github: https://github.com/pyecharts/pyecharts
Github: Altair
Github: https://github.com/has2k1/plotnine
Github: https://github.com/holoviz/holoviews
Github: https://github.com/vispy/vispy