<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>必应：Matplot Example</title><link>http://www.bing.com:80/search?q=Matplot+Example</link><description>搜索结果</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Matplot Example</title><link>http://www.bing.com:80/search?q=Matplot+Example</link></image><copyright>版权所有 © 2026 Microsoft。保留所有权利。不得以任何方式或出于任何目的使用、复制或传输这些 XML 结果，除非出于个人的非商业用途在 RSS 聚合器中呈现必应结果。对这些结果的任何其他使用都需要获得 Microsoft Corporation 的明确书面许可。一经访问此网页或以任何方式使用这些结果，即表示您同意受上述限制的约束。</copyright><item><title>Matplotlib — Visualization with Python</title><link>https://matplotlib.org/</link><description>Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.</description><pubDate>周三, 25 3月 2026 06:24:00 GMT</pubDate></item><item><title>Matplotlib documentation — Matplotlib 3.10.8 documentation</title><link>https://matplotlib.org/stable/index.html</link><description>Matplotlib 3.10.8 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install #</description><pubDate>周六, 04 4月 2026 14:04:00 GMT</pubDate></item><item><title>Examples — Matplotlib 3.10.8 documentation</title><link>https://matplotlib.org/stable/gallery/index.html</link><description>Examples # For an overview of the plotting methods we provide, see Plot types This page contains example plots. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide.</description><pubDate>周六, 04 4月 2026 15:02:00 GMT</pubDate></item><item><title>Using Matplotlib — Matplotlib 3.10.8 documentation</title><link>https://matplotlib.org/stable/users/index.html</link><description>Figures and backends Introduction to figures Output backends Matplotlib Application Interfaces (APIs) Interacting with figures Interactive figures and asynchronous programming Event handling Writing a backend -- the pyplot interface</description><pubDate>周六, 04 4月 2026 14:11:00 GMT</pubDate></item><item><title>Tutorials — Matplotlib 3.10.8 documentation</title><link>https://matplotlib.org/stable/tutorials/index.html</link><description>Tutorials # 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.</description><pubDate>周日, 05 4月 2026 09:02:00 GMT</pubDate></item><item><title>Pyplot tutorial — Matplotlib 3.10.8 documentation</title><link>https://matplotlib.org/stable/tutorials/pyplot.html</link><description>Pyplot tutorial # An introduction to the pyplot interface. Please also see Quick start guide for an overview of how Matplotlib works and Matplotlib Application Interfaces (APIs) for an explanation of the trade-offs between the supported user APIs. Introduction to pyplot # matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some ...</description><pubDate>周日, 05 4月 2026 00:13:00 GMT</pubDate></item><item><title>matplotlib.pyplot.plot — Matplotlib 3.10.8 documentation</title><link>https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html</link><description>matplotlib.pyplot.plot # matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures:</description><pubDate>周六, 04 4月 2026 19:26:00 GMT</pubDate></item><item><title>Getting started — Matplotlib 3.10.8 documentation</title><link>https://matplotlib.org/stable/users/getting_started/index.html</link><description>(Source code, 2x.png, png) If a plot does not show up please check Troubleshooting. Where to go next # 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.</description><pubDate>周日, 05 4月 2026 00:49:00 GMT</pubDate></item><item><title>Quick start guide — Matplotlib 3.10.8 documentation</title><link>https://matplotlib.org/stable/users/explain/quick_start.html</link><description>Quick start guide # This tutorial covers some basic usage patterns and best practices to help you get started with Matplotlib.</description><pubDate>周六, 04 4月 2026 21:28:00 GMT</pubDate></item><item><title>Plot types — Matplotlib 3.10.8 documentation</title><link>https://matplotlib.org/stable/plot_types/index.html</link><description>Plot types # Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples.</description><pubDate>周六, 04 4月 2026 16:06:00 GMT</pubDate></item></channel></rss>