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-0.21.4-cp314-cp314-win_amd64.whl (563.1 kB view details)

Uploaded CPython 3.14Windows x86-64

swcgeom-0.21.4-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

swcgeom-0.21.4-cp314-cp314-macosx_15_0_arm64.whl (575.6 kB view details)

Uploaded CPython 3.14macOS 15.0+ ARM64

swcgeom-0.21.4-cp313-cp313-win_amd64.whl (557.0 kB view details)

Uploaded CPython 3.13Windows x86-64

swcgeom-0.21.4-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-0.21.4-cp313-cp313-macosx_15_0_arm64.whl (568.5 kB view details)

Uploaded CPython 3.13macOS 15.0+ ARM64

swcgeom-0.21.4-cp312-cp312-win_amd64.whl (557.9 kB view details)

Uploaded CPython 3.12Windows x86-64

swcgeom-0.21.4-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-0.21.4-cp312-cp312-macosx_10_13_universal2.whl (709.9 kB view details)

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

swcgeom-0.21.4-cp311-cp311-win_amd64.whl (558.5 kB view details)

Uploaded CPython 3.11Windows x86-64

swcgeom-0.21.4-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-0.21.4-cp311-cp311-macosx_10_9_universal2.whl (712.6 kB view details)

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

swcgeom-0.21.4-cp310-cp310-win_amd64.whl (558.4 kB view details)

Uploaded CPython 3.10Windows x86-64

swcgeom-0.21.4-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-0.21.4-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-0.21.4-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.4-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 563.1 kB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for swcgeom-0.21.4-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 5b69b1d4688c102da39ac8c2958d6e434d37d8bdf3cd820c4ad8195b5227743a
MD5 327efd90182dc6b334e4f162fc995aad
BLAKE2b-256 ddaf70c736344eef00e701eb46bf9fbf6f2003ce81cb532f8a944c1f970c0635

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 9989c12b2cb42dafb7ea8fe8e284c5b68d6cbe32d0f6bc181cc835cf30aaf443
MD5 51880f33461cf1d0faa152b88c0d86ba
BLAKE2b-256 b1bfea9602af9f6169aea740ce6385b3a1445655edd78de63cb5f1beebf35f81

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp314-cp314-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp314-cp314-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 d5a4a9bd4aa534e1826c8a5d4656608158a733a74c79153941136dd34c15a961
MD5 75be35c9cf4dff866aa0d668332e26d0
BLAKE2b-256 ca1f820ed2d08647a17eb886c59d8c0c09ec492632555f5e2bea73c49046a209

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.4-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 557.0 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for swcgeom-0.21.4-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 9d2260532c40c4fb64dbb5575469f53e85bab6fb185cbca3d2df4a0323751f0a
MD5 13a70002d17710d875e7558e9cdf7ad0
BLAKE2b-256 46eb9ce46f1e7b4057f2f289dae0b5dd4eb5694b4d0adc2a3964511303064cb0

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 2cf3476184524ecaa7984edf16b7cac3a33bd0e853d3bb24daa61ee5d807c14d
MD5 e6571d43015204e04e3bf2f061b281d6
BLAKE2b-256 1f66db9be183fb640b56885d1e003a0d4c26fcd5437fd46245cbf733583b7d06

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp313-cp313-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp313-cp313-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 b81e4558a78acb35c9a341429fd2f17597e21d9c15baacd2f949de79e95f6ea0
MD5 7be2f214bd0964af8f392128cd15af95
BLAKE2b-256 5b3675e1078c64d442fe49f9b75f2645e66f7b86d9e2b39829aefd60ea4349ff

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.4-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 557.9 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for swcgeom-0.21.4-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 ef0e0e794ef6df6acc98205a87d7a5fb1ad4cf0a60428089506217d06f691f36
MD5 1706096520dca988d6327fadde96bfc6
BLAKE2b-256 749f737be9ead95a96146673ce9bde8fbf270d18953c7ed6a5ebaa7e2a5e131c

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4de2bd6453c2d90fa75cd16a8ff803b2b64f984e7061a80b22e31c334b19475e
MD5 fc3e26308f9d55727b809b058c760023
BLAKE2b-256 b64848b7cd271ebfedc2ba274d9ffafe6653fe155e09ed675cd91d7a830a1695

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 e94b084b81bf9c09365e7680ba41bebf55a87922941bf1f098c9f4f48fd8da6e
MD5 aa0c18e0c2af874cda24ab417c50bd59
BLAKE2b-256 aa2501651048a7654ea9bcc773b428864192017812cd4ab78d375dfa5d1d5402

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.4-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/3.13.12

File hashes

Hashes for swcgeom-0.21.4-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 abb526c70be87d0ae837548e8d99acf5d33b5b48ab99f50e8fdaf9a5042bf804
MD5 51ddf23e7c92a5fad9ef5e44ef4a3dee
BLAKE2b-256 71b0d34a912f7fad795acc2a4e415e441f6c6e61a89bb492ace21d872486378f

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f036cbc470565efbf63406f37f1280a02d79120e358d7c0fb6ec9f15b893e5ae
MD5 2a7e7428abda98226615eb62c02e9bf3
BLAKE2b-256 985ecb81e88fe9af5c9bf7782f91be8e493ebbcce5cd342a615fc76a9c4567ac

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 fa744a234fc7a3eccc88b69519b568b9207f9535a66ee89b831d6139ad2b4585
MD5 46aa33d14372a36b9bf14b0ac9c3dec5
BLAKE2b-256 c960276c4c7ac79f0bb157f5efcc1dfa73b8d733144154bd9100ee17cfcfebb0

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.4-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/3.13.12

File hashes

Hashes for swcgeom-0.21.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 234d473c17e59ff31d5294bf3b08ea40ec08589934dd58a55adb076fd64b4e16
MD5 7f47f4dbd249d086ad2212d7665d6a2d
BLAKE2b-256 99eb642bbe9a23605e5ab20e4068485622b934447d3a90e24cc7d16960f90d35

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fb02a7cb702d947188cac7f9bf9bb8816308836e23c4e5afc3d9706d5fa14efe
MD5 8f22c48bf241de806626f2e4596c452e
BLAKE2b-256 aa5e2b287c69ce3c63924d74a04fa4cd5e74e30c06c1e7e667750f9b26ddf714

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.4-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.4-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 00e794e98ac201737d079cbc45638a829e1eb01dc1b06aac1ad7a0d7c407a80a
MD5 de704483b24327c57d90efbd22275e45
BLAKE2b-256 d1a2815ad43971e9ce8f2705026c816a9fbde588435f47a75281591e13b79456

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