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
Report project as malware

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

1.2.1.1

1.1.2.6

1.1.2.5

This version

1.1.2.3

1.1.2.2

1.1.2.1

1.1.2

1.1.0

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

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

data_depth-1.1.2.3-py3-none-win_arm64.whl (1.7 MB view details)

Uploaded Python 3Windows ARM64

data_depth-1.1.2.3-py3-none-win_amd64.whl (1.7 MB view details)

Uploaded Python 3Windows x86-64

data_depth-1.1.2.3-py3-none-win32.whl (1.7 MB view details)

Uploaded Python 3Windows x86

data_depth-1.1.2.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

data_depth-1.1.2.3-cp311-cp311-macosx_11_0_arm64.whl (2.1 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

data_depth-1.1.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

data_depth-1.1.2.3-cp39-cp39-macosx_11_0_arm64.whl (2.1 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

data_depth-1.1.2.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

data_depth-1.1.2.3-cp38-cp38-macosx_11_0_arm64.whl (2.1 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

data_depth-1.1.2.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

data_depth-1.1.2.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ x86-64

data_depth-1.1.2.3-cp31-none-win_arm64.whl (1.7 MB view details)

Uploaded CPython 3.1Windows ARM64

data_depth-1.1.2.3-cp31-none-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.1Windows x86-64

data_depth-1.1.2.3-cp31-none-win32.whl (1.7 MB view details)

Uploaded CPython 3.1Windows x86

File details

Details for the file data_depth-1.1.2.3-py3-none-win_arm64.whl.

File metadata

  • Download URL: data_depth-1.1.2.3-py3-none-win_arm64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: Python 3, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for data_depth-1.1.2.3-py3-none-win_arm64.whl
Algorithm Hash digest
SHA256 1b3069e121c206b6eb7e97291fe5b4c723835704abd2a91ce9669da4cdc92e41
MD5 eebf443ab8ba01e34c75f7a1eaebec2f
BLAKE2b-256 eff16a290a9d6a8df96906d64cfab9c9ae71c73fa175f940b57eb5a6aad072ab

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-py3-none-win_amd64.whl.

File metadata

  • Download URL: data_depth-1.1.2.3-py3-none-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for data_depth-1.1.2.3-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 ed88a9a363c9d91b24cb3ae9f5ccadb9daa975ba802b99bf199104845caa3d6a
MD5 488e6ae8b454fbc9ccf1ca9992d645a6
BLAKE2b-256 c69ba8a1482f7837dd06be28c35dbdacae5fd3877b5bcd9225574ab2e7a62033

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-py3-none-win32.whl.

File metadata

  • Download URL: data_depth-1.1.2.3-py3-none-win32.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: Python 3, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for data_depth-1.1.2.3-py3-none-win32.whl
Algorithm Hash digest
SHA256 881fca3c1b3875739b6a6befb08dfb98b6a058c9b922efcbf3d8ef32013cae89
MD5 987c911e85768a217090033a165fc0a9
BLAKE2b-256 a40f0dc6cd036a34c9b7544c3e2a9cbd3f00f29dea9c0d512d42e0a44bdf8737

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.1.2.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9e36fdf36aad7caa904daaf1e27f2cfa924ead24b55b378a7cc5efbfc486967f
MD5 3667b37fbc3349c625acf6b9d5ac79b9
BLAKE2b-256 717cf16a4e97dae7362f393375ed35ce0d7a20247b55d8035e367094968e5403

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for data_depth-1.1.2.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 77f2267f649c70bc7295e512a6795098808f21e557468e5fbd8a617b75222309
MD5 b5a0a42c850b81751d190882809f6c05
BLAKE2b-256 43cca17d0d1449c5cc35a99ec09495fc8092c023127ed1d9a99eadb06386b0db

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.1.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 35d10955f52c9f1c0fda7c552b87fc6b55158066d819448402cf16cb444e07da
MD5 54056e76467ee9cb59f5b42ac9731f77
BLAKE2b-256 2c778d86cfff0b1167b5e1752b0dfd0889d9bcae233e663f094e6b9c762bc27a

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for data_depth-1.1.2.3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bb90eef4db71d8d9f130fcd6e540a31659c0cf1231a1f89891a9e999682217f7
MD5 39f8f84881a122aa9b153b5dc08a90e3
BLAKE2b-256 ae4cbf90cf1f9fb8eed608a2b5e459aec52d6f8099954d6483dbbfcca36ec0e8

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.1.2.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0e3ef3d980ec4e29d1f832dd67fe9df40f18f5dc28848562a0e25790e3015f85
MD5 67d6b19910e9294132bd830fc24d378c
BLAKE2b-256 1eb24cf34e723208561b5419dfc35d95bd1c2778dcf44431cfac5a805ff226ab

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for data_depth-1.1.2.3-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a69128828bcb73fa9b43a66dcc4ab1a9f47812485ebcc82d6cea1e98a50da05f
MD5 d415c366d8271df80c15f6150586ed55
BLAKE2b-256 ad8f94733e2ab158a003db7cc006b6088e6386d4b039ed08c42c0c8108a5f5c4

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.1.2.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e505c9f00d63529d419d34e46139195ef680a4d35b0accf5c854866bd33ca676
MD5 2664dbc0242d092c70fd07d2cf70212f
BLAKE2b-256 84950ae44ecd762ade57285467bbcdeb4e7325a93bfa7028d48e1b54cd939b3a

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for data_depth-1.1.2.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 52136311fb24e940aa42e571dab0a449fe952dfe474a76f1fe8bfdb0e43f2965
MD5 06e264f75b454cffda85cda1867201ac
BLAKE2b-256 9a01343a79d63e12f167eb6e8c5a77b52a1c82e7555704afffffb5a01c699ab9

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp31-none-win_arm64.whl.

File metadata

File hashes

Hashes for data_depth-1.1.2.3-cp31-none-win_arm64.whl
Algorithm Hash digest
SHA256 d8f1b7cfcef2b5ef76aac55a492b79042bffca445d345c7ec78ca8b8e07ed97e
MD5 5cc3cdd17bffb227537778cf453dc54a
BLAKE2b-256 720ad05bcea0fbf694db00ee80b53af5d3b6ee586c6527f28e96083857fdae74

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp31-none-win_amd64.whl.

File metadata

  • Download URL: data_depth-1.1.2.3-cp31-none-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.1, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for data_depth-1.1.2.3-cp31-none-win_amd64.whl
Algorithm Hash digest
SHA256 f5238adec4bee8ffd060933867f931bfbd59ec052d20510407bcc72e625afd32
MD5 88740faba7871daa704205d3ce58ecc6
BLAKE2b-256 7231d2ebfc2a46b8b6e836f5420f654ac16e5b07034e5447ae3559350218c526

See more details on using hashes here.

File details

Details for the file data_depth-1.1.2.3-cp31-none-win32.whl.

File metadata

  • Download URL: data_depth-1.1.2.3-cp31-none-win32.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.1, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for data_depth-1.1.2.3-cp31-none-win32.whl
Algorithm Hash digest
SHA256 d75e89e0ff1c3118e17c5e415db8cecbfd68a1c3a1db90ea981b41e8c795ae3c
MD5 310b563f461ad6c40f177d196476f8a0
BLAKE2b-256 5553e5cea7ecaaec5d7aefbc48ae7fa0fbd132f451a8f8fb4e29150b616abcb3

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