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Canada-QC-VARENNES 公司名錄
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公司新聞:
- Matplotlib — Visualization with Python
Matplotlib: Visualization with Python Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python Matplotlib makes easy things easy and hard things possible Create publication quality plots Make interactive figures that can zoom, pan, update
- Getting started — Matplotlib 3. 10. 3 documentation
Check out Plot types to get an overview of the types of plots you can create with Matplotlib Learn Matplotlib from the ground up in the Quick-start guide
- Matplotlib 3. 10. 3 documentation
Matplotlib 3 10 3 documentation# Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations Install#
- Tutorials — Matplotlib 3. 10. 3 documentation
This page contains a few tutorials for using Matplotlib For the old tutorials, see below For shorter examples, see our examples page You can also find external resources and a FAQ in our user guide
- Using Matplotlib — Matplotlib 3. 10. 3 documentation
Creating Colormaps in Matplotlib; Colormap normalization; Choosing Colormaps in Matplotlib
- Examples — Matplotlib 3. 10. 3 documentation
Currently Matplotlib supports PyQt PySide, PyGObject, Tkinter, and wxPython When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab pyplot procedural interface, so take a look at the examples api directory for some example code working with the API
- Quick start guide — Matplotlib 3. 10. 3 documentation
This tutorial covers some basic usage patterns and best practices to help you get started with Matplotlib
- Installation — Matplotlib 3. 10. 3 documentation
If you would like to contribute to Matplotlib or otherwise need to install the latest development code, please follow the instructions in Setting up Matplotlib for development The following instructions are for installing from source for production use
- API Reference — Matplotlib 3. 10. 3 documentation
API Reference# Matplotlib interfaces# Matplotlib has two interfaces See Matplotlib Application Interfaces (APIs) for a more detailed description of both and their recommended use cases
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