Nitime: timeseries analysis for neuroscience data

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for arokem from gravatar.com arokem Avatar for cjmarkie from gravatar.com cjmarkie

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

Nitime is library of tools and algorithms for the analysis of time-series data from neuroscience experiments. It contains a implementation of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code.

Website and mailing list

Current information can always be found at the nitime website. Questions and comments can be directed to the mailing list.

Code

You can find our sources and single-click downloads:

License information

Nitime is licensed under the terms of the new BSD license. See the file “LICENSE” for information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES.

All trademarks referenced herein are property of their respective holders.

Copyright (c) 2006-2020, NIPY Developers All rights reserved.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for arokem from gravatar.com arokem Avatar for cjmarkie from gravatar.com cjmarkie

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.11

0.10.2

This version

0.10.1

0.9

0.8.1

0.8

0.7

0.6

0.5

0.4

0.3.1

0.3

0.2

0.1.0

Download files

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

Source Distribution

nitime-0.10.1.tar.gz (6.2 MB view details)

Uploaded Source

Built Distributions

nitime-0.10.1-cp311-cp311-win_amd64.whl (4.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

nitime-0.10.1-cp311-cp311-musllinux_1_1_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

nitime-0.10.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

nitime-0.10.1-cp311-cp311-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

nitime-0.10.1-cp310-cp310-win_amd64.whl (4.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

nitime-0.10.1-cp310-cp310-musllinux_1_1_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

nitime-0.10.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

nitime-0.10.1-cp310-cp310-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

nitime-0.10.1-cp39-cp39-win_amd64.whl (4.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

nitime-0.10.1-cp39-cp39-musllinux_1_1_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

nitime-0.10.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

nitime-0.10.1-cp39-cp39-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

nitime-0.10.1-cp38-cp38-win_amd64.whl (4.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

nitime-0.10.1-cp38-cp38-musllinux_1_1_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

nitime-0.10.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

nitime-0.10.1-cp38-cp38-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

nitime-0.10.1-cp37-cp37m-win_amd64.whl (4.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

nitime-0.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

nitime-0.10.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

nitime-0.10.1-cp37-cp37m-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file nitime-0.10.1.tar.gz.

File metadata

  • Download URL: nitime-0.10.1.tar.gz
  • Upload date:
  • Size: 6.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for nitime-0.10.1.tar.gz
Algorithm Hash digest
SHA256 367a15ad2b7a3134dc36ea757beff5bf92681c261cc9cb901f8ac72f35c9b7e6
MD5 14a93bf074411e1f3c322edec5b93da7
BLAKE2b-256 25afcb2ae2388cdd58ad5c7595fe69a6bba151720770c6adce6441f38b2002c1

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: nitime-0.10.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for nitime-0.10.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 7686e815c69856f82019900459ffdbb13c110efc635893c4c44ebf37684a2a78
MD5 002af7b17c26e0195a47302cf1202648
BLAKE2b-256 f6b68ac17d87133e0911705284fc0f17bede9afccaf08605775b40bc3a380942

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c20cc98bdf3dbc4474b6f146bbeba09adb3f8486f6e4102958a95db20eb63b73
MD5 1b9f3bb2535c8b44323ca55db31db8af
BLAKE2b-256 227bc888f7397e7e5b14f347e284842b37127c0b6f6d442df6822eab33897134

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d96b40f652f34cd398d38d81f4a4ba0974d2699b3697bc55af1af0e1e8c54a1e
MD5 21d245f6dc194ff8d04ecf15ca793fb2
BLAKE2b-256 e5684cee8342d476debd33f8015e737c4744a6d42beb1993262e41cea6ba71a2

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cfa24a6745ee62026a3e33ec3422de862ab4c69a6324ad8c49da85db378e6748
MD5 d303f1b2e4be74dc7a86592c6ca965f8
BLAKE2b-256 03e9b3c770f8b57a00c1a8ec25c4a94a93ea7c789faae2a72220b8a57eee04d7

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: nitime-0.10.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for nitime-0.10.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 13e276a6e7476f2f3af626f89abcc570609ca964920bb5fc4174a242455ef9e1
MD5 d53fa85f55c2ad8faec85591c9b747d4
BLAKE2b-256 645c322efff9a11be50d33b8a63de5a8b8710f0e8021f14ab8039cfaa9bdbc95

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a20ed349a24f9b88fbd0d6a2a004d20f196b5e8bbbdbe36e7197680b68761a81
MD5 b5bc4258b0d1f1aab34b343e5d1e1afe
BLAKE2b-256 eadf30c76ee896fbb3145d862163245948450b0f8e112d78bd44f6936aa49cd9

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7c79eb54a4bea6edd577aeb3bf823c45e6c11a3b372b2289bb10c53c21d47401
MD5 bc14ffcb303e8a0db19dd7b00af5ebe2
BLAKE2b-256 aff6aabc6f1d504cfd6916eddafecbd354640a1dedae1cef5ac89c1472b624eb

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b84f0cdb0ce84c7ac101b956cef13d5fdda8cc712e129d5ac343fdc36c051936
MD5 27258d38a87ea6681c5b4960b8fd17ee
BLAKE2b-256 c8b69d0fc80b91630fd1020305fa821d107f6f76bbdf08b3c7daadb43d1df965

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: nitime-0.10.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for nitime-0.10.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a7ccbd136a5be89a7b20b8a8bc146af610e7651ecd0afc9917adf981a291c194
MD5 d5ca51a5bc31d28b646eb04cf63976d4
BLAKE2b-256 993adbc1e23daa8c91d230b8f94ad2a1f43eb2bb360b0c140336d9fe7c43d6a8

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 7e5c65678d66b0f6573b9cb37542374b55fc6c1c9241919c5b03630426f03737
MD5 51ad3c93295b2f38aea3105bcef949e0
BLAKE2b-256 16f4fe35ad5b67a8488b8f3c6d79f972cef8e925fe2224758b2304857607aa6d

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bed9a50e42b95c2d5246d1bd7e6a82fb2c1b0c552c6adcc8499f55528f40702f
MD5 0f936d45ca73f20eb7d3630480eed5c8
BLAKE2b-256 1869fbcbca2205cd5d735de6bf5a2bd7caf99a8408edacc77c9d3fb6b82defa8

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5c599ee1107347f20fd50f26a63b59af47824d086c0e09882920c56d95b7de65
MD5 5dc75578d945531d504c3701434e8bdc
BLAKE2b-256 e3f4a146f0e800671703c62dcc50ca49515e4401486c239bb10a72ddf3786360

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: nitime-0.10.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for nitime-0.10.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 bb8e3ce0d7574ce03cd1d0890874f6ef06081f807bbd39dab5183a075008cdd4
MD5 c152f2c2584844c0c735e9d5630b3bc0
BLAKE2b-256 f418ea1b5d278040174f9653e3d0b70f5d6a66bf91ec18c499e185bd1c9cd5ba

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d8c040541e2cf81bf69488a86dffe791432928d5d4f5a536de784be24132bbb4
MD5 0747ab348b951b44366f263d676df0d6
BLAKE2b-256 0b07825bb3d729bf413f026a0499b8f6c9dc0762db603b663c15973efa3f7bee

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9c4af72cf87fa9da8f0ed9fc02cc9530691c820943942d6e01839e84c4a6d650
MD5 fc0931a2a3ab46ddabec43fef05d69ff
BLAKE2b-256 a907abffaacb9dfaa9cb258019b9d0a1d50e4bc789055295a189140447c86d24

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 82f995bc0cafde6f202bbebcd991538fd9515d163088f7204b1e7153fe7263f9
MD5 676b83195fd7ffc057b04a216fb22fb7
BLAKE2b-256 58f13db53a5443ac4092a244c8ab61ec4a3f626bfd4b7bdc4dc82226cb515b1c

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: nitime-0.10.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for nitime-0.10.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 8c29b570aec1213870a47aa12cf9b65b88bc599965db5c3c077d0fc34b3fec71
MD5 5e95db07d11ba1781142eb079644c328
BLAKE2b-256 d84dee5c60922c10531b6d3dd1965c546cc436f15c01608bf0e61538e67d827c

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 70f7cd247d8a2dfd1c1ef035901f689717a21bc968acb5e08a9203b5e01d6ed5
MD5 56e90255a5affef9139021dabdcc4d30
BLAKE2b-256 0867815a19c3c053a13ca6a56d95f48f256baf43efcc16a3ed4695053226291e

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 abc0a43b811032fbe227c87b51052a8f4c2ce969ebe61bcfc8b015f86dd11c06
MD5 6138a3e80b45ff8617ff2547ba302cdb
BLAKE2b-256 d50ea65aaead99a873e35b0bfeaa19214150cf9002d5c1f4f64ee91432b4d555

See more details on using hashes here.

File details

Details for the file nitime-0.10.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for nitime-0.10.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aa5d19a68db7b1e49ff68f7f8942d7f75332536db9ec719ac11b1e49fea1a99b
MD5 94b7f526ea3bc8b82296a45c4ae5b7d7
BLAKE2b-256 7debc93c2a07d5f4736a8e4b3d41787a59fb1beb49a587add7852e640a2fa682

See more details on using hashes here.

Supported by

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