Data analysis learning chart library related website resources, the GitHub of the chart world?

matplotlib

As one of the most popular visualization modules in python, matplotlib is powerful and easy to use. For novices, the difficulty of getting started is low. It only takes a few lines of code to create a publishing quality picture, and it supports both static and dynamic pictures.

matplotlib: https://matplotlib.org/gallery/index.html

plotly
Plotly is a third-party library for interactive visualization. The official website provides interfaces for Python, R, Matlab, JavaScript, and Excel, so we can easily call Plotly in these software to achieve interactive visualization. The following website is even more known 画图界的 GitHub.

plotly: https://plotly.com/python/

seaborn
Seaborn is a python package for graph visualization based on matplotlib. It provides a highly interactive interface for users to make various attractive statistical charts.

seaborn: http://seaborn.pydata.org/

Other websites:
Regarding web chart websites, you can call others to draw maps, etc. to achieve cool functions.
echarts: https://echarts.apache.org/examples/zh/index.html#chart-type-line

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Origin blog.csdn.net/qq_45137584/article/details/111601276