Skip to main content

Neuron geometry library for swc format

Project description

SWCGEOM

Run tests Release to GitHub Release to PyPI

A neuron geometry library for swc format.

Usage

See examples for details.

Development

# clone repo
git clone git@github.com:yzx9/swcgeom.git
cd swcgeom

# install dependencies
python -m pip install --upgrade pip
pip install build

# install editable version
pip install --editable .

Static analysis don't support import hook used in editable install for PEP660 since upgrade to setuptools v64+, detail information at setuptools#3518, a workaround for vscode with pylance:

{
  "python.analysis.extraPaths": ["/path/to/this/project"]
}

LICENSE

This work is licensed under a Apache-2.0.

Copyright (c) 2022-present, Zexin Yuan

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

swcgeom-0.21.0-cp313-cp313-win_amd64.whl (557.1 kB view details)

Uploaded CPython 3.13Windows x86-64

swcgeom-0.21.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

swcgeom-0.21.0-cp313-cp313-macosx_15_0_arm64.whl (568.6 kB view details)

Uploaded CPython 3.13macOS 15.0+ ARM64

swcgeom-0.21.0-cp312-cp312-win_amd64.whl (558.0 kB view details)

Uploaded CPython 3.12Windows x86-64

swcgeom-0.21.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

swcgeom-0.21.0-cp312-cp312-macosx_10_13_universal2.whl (710.0 kB view details)

Uploaded CPython 3.12macOS 10.13+ universal2 (ARM64, x86-64)

swcgeom-0.21.0-cp311-cp311-win_amd64.whl (558.5 kB view details)

Uploaded CPython 3.11Windows x86-64

swcgeom-0.21.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

swcgeom-0.21.0-cp311-cp311-macosx_10_9_universal2.whl (713.0 kB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

swcgeom-0.21.0-cp310-cp310-win_amd64.whl (558.4 kB view details)

Uploaded CPython 3.10Windows x86-64

swcgeom-0.21.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

swcgeom-0.21.0-cp310-cp310-macosx_11_0_arm64.whl (572.4 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

File details

Details for the file swcgeom-0.21.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 557.1 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for swcgeom-0.21.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 3e16f0ac9aefe26cfbd3a0117f9e1872a9ff0975fefc0e255dba4990766e8c1d
MD5 bd00dac6725a5a1ced36846b85eed3a3
BLAKE2b-256 5e380cd38e68e3e9975e368f4b866828b3a0f070cb54343db10a174062eb4581

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 41416451d52b958bcdb30018f9d8d516e0897ac98e4837dc237df2af5405a717
MD5 6537227bea34a2d5a988f0119786f97a
BLAKE2b-256 f72e41244f44c7d01bb88b3be1b75516eb8f579eea852fc87f1bbd3852779a31

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp313-cp313-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.0-cp313-cp313-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 8a16cf3cb030724b868181b8544855e482c0fc71c8231557c68e23c351b29734
MD5 7d50edf3086cebed40ae2fa26aa5dde4
BLAKE2b-256 44cfbf010d1f7aea0ff5bf084c36df4f883eeca2be51167036d3e8637cd7e112

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 558.0 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for swcgeom-0.21.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 5815ba5b571aac18625e9ba32555070a21da0398b31f4d177f64ee85ccc2c47b
MD5 daf9a88764be99f7df46b1cfb5ce66bf
BLAKE2b-256 938ff5715b3e34c6e6d32aa0ca83b9c78688e604f23d4907ed8dfd326aa774f3

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 0ca5a98d3c98d74058ec4d21aeb9870ba2e4210976b7d328715c70b558104a8c
MD5 ae08e36a30e321769addb2ee74ff109d
BLAKE2b-256 57145b7314a9274372e4aa47e9409399d5163a2b065cddc84dc12100ad9d4691

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.0-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 8dbdd7addb966c57db8f1a087577ab3d4fd214f4d3fa83408349e8f1c65f38e0
MD5 d5745215905522110e1f5837233b0e0c
BLAKE2b-256 a1994033bc638969a2990ecf8d05cb40948b6c1f8972a0b4df7d83f37a5489ff

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 558.5 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for swcgeom-0.21.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8d1a0346e4403d958d19df063a5eaea0f779e70758366953b4654327a014818d
MD5 4e41a7e213e7bfb6788d2e13ac5de75c
BLAKE2b-256 6be168b23f090b946099885f264a1c03b108aa9e49c959ddf8f70e0412ec8909

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 160dc301df47b9db244a632d2b072ac2c901b4dc7066e8814fa9c60dca950180
MD5 07ee03c0483ae1dd0e36663b215c7ce6
BLAKE2b-256 8cce53d0c54fe24d0dc3f077314eed181fd148dbfead5f159211ab2e806a0e5a

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.0-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 b6daad849c785c0127f42af4e30f56f39e10f24e2c70436618c8cafda7d9efe8
MD5 275f7f45ee0e5df15b41ed5d5419d736
BLAKE2b-256 fcc1b000139b0ade55c183586ecf0cdc74b69fe9272d3421aa1ae0095eef400b

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 558.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for swcgeom-0.21.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b085bcd4cc9ce02943e15e8c713f7c300ea8691dcb9d4955a0df37ff31ca96b2
MD5 4e693b852424b43fa2c1aac40ff368de
BLAKE2b-256 5befb57f55f3cebb7af8c9605b1798f06e86afc4bcf58015087c846e37a68034

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f6351dd0aa8ac1bfe3aec2df3e25354d2606a76cbfb9485aa1e9578c1196781b
MD5 12818c73dd62907e069498c8308df658
BLAKE2b-256 3e5343154a0ad8519bc87df99f68fa5070d61d994a30cc37e38c0c25ca22d0ed

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bb7a1d4e1b5dc4e937a3c251ffeede9f8a2d2436840df20d3922169d6ca10a10
MD5 1d59fb2d173fbc8f1892d14cb6a46fc7
BLAKE2b-256 d64adcd96396f1cf97071a00fa3b52eefb96ce44c5095fe76b129d0502e83f17

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page