The package provides many procedures for calculating the depth of points in an empirical distribution for many notions of data depth

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta

Project description

The package provides many procedures for calculating the depth of points in an empirical distribution for many notions of data depth

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta

Release history Release notifications | RSS feed

This version

1.0.1

1.0.0

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

data_depth-1.0.1-py3-none-win_arm64.whl (731.4 kB view details)

Uploaded Python 3 Windows ARM64

data_depth-1.0.1-py3-none-win_amd64.whl (731.4 kB view details)

Uploaded Python 3 Windows x86-64

data_depth-1.0.1-py3-none-win32.whl (731.4 kB view details)

Uploaded Python 3 Windows x86

data_depth-1.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

data_depth-1.0.1-cp311-cp311-macosx_11_0_arm64.whl (204.0 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

data_depth-1.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

data_depth-1.0.1-cp39-cp39-macosx_11_0_arm64.whl (204.0 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

data_depth-1.0.1-cp39-cp39-macosx_10_9_x86_64.whl (297.7 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

data_depth-1.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

data_depth-1.0.1-cp38-cp38-macosx_11_0_arm64.whl (204.0 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

data_depth-1.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (245.6 kB view details)

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

data_depth-1.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (245.6 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

data_depth-1.0.1-cp31-none-win_arm64.whl (731.4 kB view details)

Uploaded CPython 3.1 Windows ARM64

data_depth-1.0.1-cp31-none-win_amd64.whl (731.4 kB view details)

Uploaded CPython 3.1 Windows x86-64

data_depth-1.0.1-cp31-none-win32.whl (731.4 kB view details)

Uploaded CPython 3.1 Windows x86

File details

Details for the file data_depth-1.0.1-py3-none-win_arm64.whl.

File metadata

  • Download URL: data_depth-1.0.1-py3-none-win_arm64.whl
  • Upload date:
  • Size: 731.4 kB
  • Tags: Python 3, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.12

File hashes

Hashes for data_depth-1.0.1-py3-none-win_arm64.whl
Algorithm Hash digest
SHA256 96b80a8eb46b0119267fddb61b184bc76102de4b68f836612155fb25f5e953d3
MD5 9dcf4a8c14d210ed50600ee4da5de5e4
BLAKE2b-256 06c67ed434aabb34dee4b0d6168aab595147970734968706c949f8c860e87118

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-py3-none-win_amd64.whl.

File metadata

  • Download URL: data_depth-1.0.1-py3-none-win_amd64.whl
  • Upload date:
  • Size: 731.4 kB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.12

File hashes

Hashes for data_depth-1.0.1-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 551b7053ca88d17826a581ea9e4f97dafd066665bfad2f9927596051f96fda97
MD5 2d4275fd4289ad883a90c933e52c0822
BLAKE2b-256 e6b06c1026ed407dba5bc3bf7c470313ed4ff90c14d87f4331a39da6e8733976

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-py3-none-win32.whl.

File metadata

  • Download URL: data_depth-1.0.1-py3-none-win32.whl
  • Upload date:
  • Size: 731.4 kB
  • Tags: Python 3, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.12

File hashes

Hashes for data_depth-1.0.1-py3-none-win32.whl
Algorithm Hash digest
SHA256 82e0404e5c21c1f4988666cc5c3a7de475e1728fe7d63d6092767f2d556c24ef
MD5 874789b475b276641b3379cc9fa7be7b
BLAKE2b-256 b37c343d73d19f85440ef8988f98d0aec77e3a2e85fe0bad93da8599099d3a55

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5d862965f7126555366813e0a5042c377ff5a9264f1392f01f2dee047a034a67
MD5 652121f4e48cd97e014a46f2378224be
BLAKE2b-256 004da6d985d8766a926a910af208a837289f45fbf2b85dc7586e5fa2c189453d

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5d220572ede29a4644f1f41114a48cee6dc59e21f5ed51826bf8560ffbed83e2
MD5 ddabc773e25972408cecaa165cb51e99
BLAKE2b-256 9d21a3f0356c0032acc0a91f84b799b2db132695fd6c088a47a2dcf1df8570f4

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fd7c4a93b6e610e8fb89611bebeb4e5edff634b56909fd56d401543199c05c27
MD5 7961975c3a40454f2589a3536f63971a
BLAKE2b-256 437e1c91069d9d2e33c3ae8cd5500f90d597df32e44a1681f79619a1f8553580

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 92b0ab8082031e548497ebc0c2b9c9ac7ea21cba26b5c9bc98ba55a66af23129
MD5 fef00a0bea2cf6978658f5dd58623fad
BLAKE2b-256 4f6b10ce95d91db3f0e8cb6c1e2adc3eb31a92928a4938c3f0302a74682ea0bc

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4c7c52e91a4ff8de9104da1936f7979d800a1e51d6de576a35e9aca237e4ee65
MD5 20d769fec129983165fdc210833ae309
BLAKE2b-256 97216337b6a75efdd0e58c78b0fef3a510406f82e2c9dabdb0d7615516bbe497

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 50b1321f18d27fd4d3530d0639f4c75e57c37ddaa68fdf06791daa4139666916
MD5 6a8b8d4cfe7396d3de8d7f87e3830486
BLAKE2b-256 13cff3840a6812de67c093c6dd137fe1d01005cefad8b6ecb879f47bf2f54be1

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 64567c87ba1ff0128108ee7518cc0d5c5662da34e2fbeba4b5cb70f97f4e49f5
MD5 4ef9047df2b1053b3b5ee73034170f19
BLAKE2b-256 0f4868a065e7b39577affd6ce93358688e4a5bf5683ca13e3535f237c8f30754

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1d2015e3323f140fb1797d0f6ed991256d8f7f321755980e10fc7da23ddd2a96
MD5 7652ddb2250cb816cce43e2f97cba474
BLAKE2b-256 337895e25a205e08b47925af7b00c666e63102399b6527449e3d6eadc5066bfa

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0c6b98941ac36147e274f6439ba65b23736b179e9087d76f4b8cd2b4d18bb13f
MD5 dd15577aaf6f469dbd67b90e73d3457e
BLAKE2b-256 c49a205f1c2dffa4954da4dfb4bb13309d3dd9d4c25a5f2728dd23bec09f74cc

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp31-none-win_arm64.whl.

File metadata

File hashes

Hashes for data_depth-1.0.1-cp31-none-win_arm64.whl
Algorithm Hash digest
SHA256 1200a95d69cb170d61856b776f655e756a68a596437f62eafd60a4716e76c1ee
MD5 a9de1c579cf63fd76e63f322ba033571
BLAKE2b-256 ee7e1004473e2f28dde9d0ed0933a03365e809f4b56e9d32c40b2c0ea7d79b82

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp31-none-win_amd64.whl.

File metadata

  • Download URL: data_depth-1.0.1-cp31-none-win_amd64.whl
  • Upload date:
  • Size: 731.4 kB
  • Tags: CPython 3.1, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.12

File hashes

Hashes for data_depth-1.0.1-cp31-none-win_amd64.whl
Algorithm Hash digest
SHA256 3b53a74b356dcd0920b2a3abc13d80ee1fe770d88e133dcb62c23c2235c91fe3
MD5 7d26140f06583ae2f09987897cdf3e0c
BLAKE2b-256 779873b4e42f66957ce31898c1ceaff48f2d59ea68855f41698a81dead6d8974

See more details on using hashes here.

File details

Details for the file data_depth-1.0.1-cp31-none-win32.whl.

File metadata

  • Download URL: data_depth-1.0.1-cp31-none-win32.whl
  • Upload date:
  • Size: 731.4 kB
  • Tags: CPython 3.1, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.12

File hashes

Hashes for data_depth-1.0.1-cp31-none-win32.whl
Algorithm Hash digest
SHA256 66cd71d80801f9b4bc0746fe8e2257494b952ccad2a4f1bf34dd79bfddd46a74
MD5 6e8723627d22c3b0bb595ce9cffaaf6c
BLAKE2b-256 3c6662c35f8130372ea658256fad75746e6680e83958ea1876b547e977b07977

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