With the advent of the era of artificial intelligence, python has become more popular and popular, powerful, easy to learn, easy to get started, and widely used, etc., which has set off a learning boom. Now more and more people will learn the python language when they change their careers. In order to let everyone quickly master python, today the editor summarizes some python commonly used libraries for everyone, I hope it will be helpful to everyone.
1. Matplotlib: The underlying library used to create two-dimensional graphs and graphics. With its help, you can build a variety of different icons, from histograms to scatter plots to Fe Descartes coordinates. Many popular drawing libraries are used in combination.
2. Seaborn: Contains default settings that are more suitable for handling icons. In addition, there is a rich visualization library, including some complex types, such as time series, joint distribution graphs, etc.
3. Plotly: A very popular library that allows you to easily build complex graphics. The software contains interactive web applications that can achieve contour maps, ternary maps, and three-dimensional maps.
4. Pydot: Graphviz interface written in pure Python. It is often used to produce complex directional graphs and undirected graphs. It can display the structure of the graph and is very effective when building neural networks and decision tree-based algorithms.
5. pyecharts: The function is very powerful, supports up to 400+ maps, supports JupyterNotebook, JupyterLab, and can integrate mainstream web frameworks such as Flask, Sanic, and Django.
6. Cufflinks: Combining the powerful functions of plotly and the flexibility of panda, you can easily draw, avoiding the complicated trouble of data storage structure and data type in the process of data visualization.