Python library for calculating contours of 2D quadrilateral grids
Project description
ContourPy is a Python library for calculating contours of 2D quadrilateral grids. It is written in C++11 and wrapped using pybind11.
It contains the 2005 and 2014 algorithms used in Matplotlib as well as a newer algorithm that includes more features and is available in both serial and multithreaded versions. It provides an easy way for Python libraries to use contouring algorithms without having to include Matplotlib as a dependency.
- Documentation: https://contourpy.readthedocs.io
- Source code: https://github.com/contourpy/contourpy
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SHA256 | 0fa4c02abe6c446ba70d96ece336e621efa4aecae43eaa9b030ae5fb92b309ad |
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MD5 | ea3998022d90cb01e9ee1dcfc36db84c |
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Hashes for contourpy-1.3.0-cp310-cp310-win_amd64.whl
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SHA256 | 87ddffef1dbe5e669b5c2440b643d3fdd8622a348fe1983fad7a0f0ccb1cd67b |
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MD5 | aaedd951a49feb8afae326b0b7191fca |
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SHA256 | 36e0cff201bcb17a0a8ecc7f454fe078437fa6bda730e695a92f2d9932bd507f |
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MD5 | 8288b018f0717ac53fa3bf726758c2ed |
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SHA256 | 3faeb2998e4fcb256542e8a926d08da08977f7f5e62cf733f3c211c2a5586223 |
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MD5 | 0407897811cc3a6de3fd230c5b041d79 |
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SHA256 | 7a52040312b1a858b5e31ef28c2e865376a386c60c0e248370bbea2d3f3b760d |
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MD5 | 60c962de30992199150d20e95e6869b5 |
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SHA256 | 69375194457ad0fad3a839b9e29aa0b0ed53bb54db1bfb6c3ae43d111c31ce41 |
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MD5 | 99719b357ff5c50281b458c92c6943f6 |
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SHA256 | cacd81e2d4b6f89c9f8a5b69b86490152ff39afc58a95af002a398273e5ce589 |
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MD5 | b6d2714838c119d6a811fdad3f3ec6fd |
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SHA256 | 36f965570cff02b874773c49bfe85562b47030805d7d8360748f3eca570f4cab |
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MD5 | a827fb3c8e44c65d1080cd87b9124986 |
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SHA256 | 92f8557cbb07415a4d6fa191f20fd9d2d9eb9c0b61d1b2f52a8926e43c6e9af7 |
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MD5 | a5572160bd46d115684e69e06a67d9a9 |
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SHA256 | 76c905ef940a4474a6289c71d53122a4f77766eef23c03cd57016ce19d0f7b42 |
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MD5 | cbd10a009f134753a40e19580100dddf |
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SHA256 | 880ea32e5c774634f9fcd46504bf9f080a41ad855f4fef54f5380f5133d343c7 |
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MD5 | 625f8db1fa2a19032d4a6ee713cd299d |
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Hashes for contourpy-1.3.0-cp39-cp39-win_amd64.whl
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SHA256 | 14e262f67bd7e6eb6880bc564dcda30b15e351a594657e55b7eec94b6ef72843 |
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MD5 | 1cb3f455365a7002da181a1fac7f1d63 |
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SHA256 | 81cb5ed4952aae6014bc9d0421dec7c5835c9c8c31cdf51910b708f548cf58e5 |
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MD5 | 5b9d0465c4dca695e7c474e833cfc1f5 |
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SHA256 | d78ab28a03c854a873787a0a42254a0ccb3cb133c672f645c9f9c8f3ae9d0800 |
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MD5 | bb80b50111875ecd5df6bc6c1cfcb4ed |
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Hashes for contourpy-1.3.0-cp39-cp39-musllinux_1_2_aarch64.whl
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SHA256 | 94e848a6b83da10898cbf1311a815f770acc9b6a3f2d646f330d57eb4e87592e |
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MD5 | 912637ea878881d9f94f9deae6963ed9 |
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Hashes for contourpy-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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SHA256 | 68a32389b06b82c2fdd68276148d7b9275b5f5cf13e5417e4252f6d1a34f72a2 |
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MD5 | f46d7215d1f9b3e06d66bab3986f6a67 |
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SHA256 | 4cfb5c62ce023dfc410d6059c936dcf96442ba40814aefbfa575425a3a7f19dc |
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MD5 | dabaca1144c5df26901929cf18ac7c41 |
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SHA256 | fd2a0fc506eccaaa7595b7e1418951f213cf8255be2600f1ea1b61e46a60c55f |
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MD5 | 0af32cf056cba4e15c8686067196e02f |
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SHA256 | e12968fdfd5bb45ffdf6192a590bd8ddd3ba9e58360b29683c6bb71a7b41edca |
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MD5 | 5a0aa02ead91f92dbd181dfd05be2a9c |
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SHA256 | e8134301d7e204c88ed7ab50028ba06c683000040ede1d617298611f9dc6240c |
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MD5 | 565bc9de6664c54f5ccda2dc511019ee |
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SHA256 | a11077e395f67ffc2c44ec2418cfebed032cd6da3022a94fc227b6faf8e2acb8 |
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MD5 | ddc53e4a3da5d284a7828d075023667e |
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BLAKE2b-256 | b3e3b9f72758adb6ef7397327ceb8b9c39c75711affb220e4f53c745ea1d5a9a |