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-0.21.3-cp314-cp314-win_amd64.whl (563.1 kB view details)

Uploaded CPython 3.14Windows x86-64

swcgeom-0.21.3-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-0.21.3-cp314-cp314-macosx_15_0_arm64.whl (575.6 kB view details)

Uploaded CPython 3.14macOS 15.0+ ARM64

swcgeom-0.21.3-cp313-cp313-win_amd64.whl (557.0 kB view details)

Uploaded CPython 3.13Windows x86-64

swcgeom-0.21.3-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-0.21.3-cp313-cp313-macosx_15_0_arm64.whl (568.5 kB view details)

Uploaded CPython 3.13macOS 15.0+ ARM64

swcgeom-0.21.3-cp312-cp312-win_amd64.whl (557.9 kB view details)

Uploaded CPython 3.12Windows x86-64

swcgeom-0.21.3-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-0.21.3-cp312-cp312-macosx_10_13_universal2.whl (709.9 kB view details)

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

swcgeom-0.21.3-cp311-cp311-win_amd64.whl (558.5 kB view details)

Uploaded CPython 3.11Windows x86-64

swcgeom-0.21.3-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-0.21.3-cp311-cp311-macosx_10_9_universal2.whl (712.6 kB view details)

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

swcgeom-0.21.3-cp310-cp310-win_amd64.whl (558.4 kB view details)

Uploaded CPython 3.10Windows x86-64

swcgeom-0.21.3-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-0.21.3-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-0.21.3-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.3-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-0.21.3-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 0300981c4a963b3a16606c197089aa4b1121f6ef9b4264f33640f5dd192dfda8
MD5 e1f26b0c9f5da1f631b85ba215ba754b
BLAKE2b-256 1afcb7d949b85b83fd1f1fb5b81c1a1a3ece9fc1b84cf2139dfec60fd6d81685

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ca2b37aad3d72eebf2423f611844b028c0f20739f4f59d3c718467c86191e0ef
MD5 0c855d15bb3aa8cfeec9782c096843e6
BLAKE2b-256 538bab579104242c6b90eabd60e838bdc54fe52b64f054e805cb27a184abb11b

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp314-cp314-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp314-cp314-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 0954e206c2056a5913cb48c4dcac0d859d9b1e152150908d012945ba06e882e2
MD5 33ef4cffaf537cec4ffeeb107d2006d5
BLAKE2b-256 e0a3e5d10d153269f60f917e1878f993b36102a88a89f26b03fa7f3cb9a853c4

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.3-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-0.21.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 039b5e8104bb597edca82d886b552ba88a6df203c36498a2278624da2839ca1c
MD5 824f6e547a22fccc800f782f537b28a1
BLAKE2b-256 8c028e7e0c21ed73dd3e22846b0f7e8c9994e545d8bb69b184707ed294af467f

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 be32e7273c9977b686066d9c11b8a1db5a7533ac4c39dfd1c734ffd10aaa5e59
MD5 8cadb940b4187d2d76d45d5867b51c41
BLAKE2b-256 40bdbde346822434b29e0f03129ca1138fe1ef41e483072637509fe5863e1cbe

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp313-cp313-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp313-cp313-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 3c3d1ddd95b9b1a91145bd6d787e8f8cf191f1d23beeef2d5d69162516765fc8
MD5 bd85f5a1b36071cfc7f2f5458ec5da2d
BLAKE2b-256 70ac4c48a46b8783cdd918843807877fd0cd39ab1875f26328ab19c565a246e5

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.3-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-0.21.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 e4355f388b9d8250aed40a778e31bcfc79b194fee2f11fbee8caaf01a02fbd77
MD5 ea1d7bf8e812495462d9ce03f92dce29
BLAKE2b-256 dcc93d348be0b3f6714ff8dc3dd0c82e1e8bf34bd33fc1362734d2c766411f78

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 636e4f22bb8cdab61172ab3f98f675bd2a4cd8472b99b2fcd3d9e2291ad5c74c
MD5 024cb9383a0a419cd4419d6de47aa37e
BLAKE2b-256 9c2a030d493cf3e4ad9d4125267423c4400397ac970550b40b0a1d1ebc52fe7a

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 b2ae8adbc99499a11874962d42d073185d86ca660c2f7c3e0678a005a9204213
MD5 5ed914e5ec5ce8875ca3d8bb92fc1f85
BLAKE2b-256 7dce6f9a974038be944fba3ada17b0c366484bc6cddb6fda161302a57b165ba7

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.3-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-0.21.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 5cea24456ec7cfb1a0de10d2a445345303846908e1cb2a8baedc236814a7a1f4
MD5 7d6e14b14999ef6efa1d355521f4e654
BLAKE2b-256 26e5b622a629f37867c699e016e55e31d07aa19264ec8ce0dcae83a1bc221b22

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 40e84cc0afc2d0e7b508f63b48174c1533d2e93b3a71b2b58eda1ac3a0092fd3
MD5 4b236342531c5fbe065b6cc11ca1828b
BLAKE2b-256 bf3e4f49b946e3a2d9bb2a49054b4d28d1e7afc16a7ecd4c9b8f42537545f85b

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 9b02d2d2483333854b43d6d01d823989c328205fa3fb19635f641ba21d071c00
MD5 a9bddcb17bb9764bd539216e5c7f4ebc
BLAKE2b-256 79d262d0dfb833c59c35caabb7d9bfe46a407e929ee49e408fe17fe2616b2de5

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: swcgeom-0.21.3-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-0.21.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f74ad4c605f8b9b90c9a453768b0307c36c5ee45049fc0a8b2a761f308ffac38
MD5 802266db095642cb6671e02dfe5151e0
BLAKE2b-256 92e62734c2326af96cf03b54c813b1d29af3ac5e5d328791a6e9feb1adfbb1c3

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 df8a706c2fa77e847c81e116ec4fd4cf7549cce321774adda11689cdfcb4937b
MD5 36a575a51c8d614fb7d0e23b03357d97
BLAKE2b-256 81934fb41490d2bce07de58489bbfa931bf2923cf09fabee45e1cf94e573b6d8

See more details on using hashes here.

File details

Details for the file swcgeom-0.21.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for swcgeom-0.21.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3c89aedea36162cb787919ad33a98a6e634bd11f77be58129701346bdc699369
MD5 c99283535467a767e2014992bb8061f5
BLAKE2b-256 be6d9a2dea5ee056b6b0d3f8b275571be417396f27b9666e06ea9ade7fb55d79

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