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# Docs: https://developers.google.com/search/docs/advanced/robots/intro # Note old files will still be indexed if they have links to them, # hopefully they are weighted less... User-agent: * # do not search root directory by default. Disallow: /api/ Disallow: /devel/ Disallow: /examples/ Disallow: /faq/ Disallow: /gallery/ Disallow: /glossary/ Disallow: /mpl_examples/ Disallow: /mpl_toolkits/ Disallow: /plot_directive/ Disallow: /pyplots/ Disallow: /resources/ Disallow: /thirdpartypackages/ Disallow: /tutorials/ Disallow: /users/ Disallow: /xkcd/ Disallow: /_downloads/ Disallow: /_images/ Disallow: /_modules/ Disallow: /_sources/ Disallow: /_static/ # files at top level: Disallow: /citing.html Disallow: /contents.html Disallow: /downloads.html Disallow: /gallery.html Disallow: /genindex.html Disallow: /index.html Disallow: /Matplotlib.pdf Disallow: /objects.inv Disallow: /py-modindex.html Disallow: /search.html Disallow: /searchindex.js Disallow: /win32_*.tar.gz # tell robots this is |
Title | Matplotlib — Visualization with |
Description | Matplotlib: Visualization with Ctrl + K Plot types Examples Tutorials Reference User guide Develop Releases Gitter Discourse GitHub Twitter Plot types Examples Tutorials Reference User |
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WebSite | matplotlib.org |
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Location | United States |
Site | Rank |
US$1,341,313,271
Last updated: 2023-04-26 16:09:31
matplotlib.org has Semrush global rank of 7,891. matplotlib.org has an estimated worth of US$ 1,341,313,271, based on its estimated Ads revenue. matplotlib.org receives approximately 154,766,916 unique visitors each day. Its web server is located in United States, with IP address 172.67.74.104. According to SiteAdvisor, matplotlib.org is safe to visit. |
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Ctrl + K Plot types Examples Tutorials Reference User guide Develop Releases Gitter Discourse GitHub Twitter Plot types Examples Tutorials Reference User guide Develop Releases Gitter Discourse GitHub Twitter 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. Customize visual style and layout . Export to many file formats . Embed in JupyterLab and Graphical User Interfaces . Use a rich array of third-party packages built on Matplotlib. Try Matplotlib (on Binder) Getting Started Examples Reference Cheat Sheets Documentation News # Feburary 14, 2023 Matplotlib 3.7.0 Released We thank the 112 authors for the 427 pull requests that comprise the 3.7.0 release. November 23, 2022 Sunden hired as Research Software Engineer September 16, 2022 |
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