Py-ART: Python ARM Radar Toolkit

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jjhelmus from gravatar.com jjhelmus Avatar for mgrover1 from gravatar.com mgrover1 Avatar for zssherman from gravatar.com zssherman

Unverified details

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

Project description

a growing collection of weather radar algorithms and utilities build on top of the Scientific Python stack and distributed under the 3-Clause BSD license. Py-ART is used by the Atmospheric Radiation Measurement (ARM) Climate Research Facility for working with data from a number of precipitation and cloud radars, but has been designed so that it can be used by others in the radar and atmospheric communities to examine, processes, and analyse data from many types of weather radars.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jjhelmus from gravatar.com jjhelmus Avatar for mgrover1 from gravatar.com mgrover1 Avatar for zssherman from gravatar.com zssherman

Unverified details

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

Release history Release notifications | RSS feed

1.19.3

1.19.2

1.19.1

1.19.0

1.18.7

1.18.6

1.18.5

1.18.3

1.18.2

1.18.1

1.18.0

1.17.0

1.16.1

1.16.0

1.15.2

This version

1.15.1

1.15.0

1.14.6

1.14.5

1.14.4

1.14.3

1.14.2

1.14.1

1.14.0

1.13.3

1.13.2

1.13.1 yanked

Reason this release was yanked:

Issue with dependency

1.13.0

1.12.7

1.12.6

1.12.5

1.12.4

1.12.3

1.12.2

1.12.1

1.12.0

1.11.8

1.11.7 yanked

Reason this release was yanked:

broken

1.11.6

1.11.5

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.10.4

1.10.3

1.10.2

1.10.1

1.9.2

1.9.1

1.9.0

1.8.0

1.7.0

1.6.0

1.5.0

1.4.2

1.4.0

1.3.0

1.2.0

Download files

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

Source Distribution

arm_pyart-1.15.1.tar.gz (54.7 MB view details)

Uploaded Source

Built Distributions

arm_pyart-1.15.1-cp311-cp311-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

arm_pyart-1.15.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

arm_pyart-1.15.1-cp311-cp311-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

arm_pyart-1.15.1-cp311-cp311-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

arm_pyart-1.15.1-cp310-cp310-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

arm_pyart-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

arm_pyart-1.15.1-cp310-cp310-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

arm_pyart-1.15.1-cp310-cp310-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

arm_pyart-1.15.1-cp39-cp39-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

arm_pyart-1.15.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

arm_pyart-1.15.1-cp39-cp39-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

arm_pyart-1.15.1-cp39-cp39-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file arm_pyart-1.15.1.tar.gz.

File metadata

  • Download URL: arm_pyart-1.15.1.tar.gz
  • Upload date:
  • Size: 54.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for arm_pyart-1.15.1.tar.gz
Algorithm Hash digest
SHA256 246421cd610ee339cc143155c23adfabc807fbe2ef1467e5df31df0176843539
MD5 a5a492f26b110f65c94e867aee6db0a3
BLAKE2b-256 bedda72f9a2a484c630e0ccc75a2d77dcf65f6e7ab65166bfad985d8dee296f5

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 61ccc0a27edd2e0f16b80f4b407e128cad3fcab21a40ed0b3d653d1aa8a320c3
MD5 11ca40465445a277f3dd75ded1e8be53
BLAKE2b-256 7e228f90f1a228685742bfb9293343a00918aeaaadb2e34a39be1cb2f8135132

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4b01f394d991700e886969f5bdc9e04ee4b58b0a60af38e193183e2f82c6c3f3
MD5 66ecd1292dd8e29ed9eb37aaefc67d75
BLAKE2b-256 79dbaf8697611dd349c2716506b0a59a29a94262271648fd20be9446e01173ef

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 38f5f7356d2183b8e06e6069bc551cb374b1c310465c071580324d726e01b35c
MD5 df32f822efea45b25b51df89a03a3c9a
BLAKE2b-256 5a666c5f13b55e110fbeb6f7a6b40b202ffa581029b2fe23b3866babcadc8cb3

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 27fcf3acc163b7da50ccb6688a2060ed2b5b55faa468ac60335491b87b968242
MD5 8d263129619f57c3231febf518999b15
BLAKE2b-256 6e3312fc7cda2ec527bc9e406ddda2368eea536cae4d0940adf4db313bf79f1d

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 488851b777a63f349af8b5585b672386cc04ed6cb702c03b580e029e2b861364
MD5 7ede1995e6297a1e87bb630b93faa706
BLAKE2b-256 0213789a499d0cf8f79fae83074c82fd211555795e5a6aa647500dd18d597760

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5bcb6a4feb3efc091158a5c7c49dfe97128540eaa8ddc75d2f1e1c61ed4b64ce
MD5 84f75b723981bbf9fe4e24c250a5daaf
BLAKE2b-256 cf87ad7ffea627ccbfa89c1d2acf9c03d5c6c492e5c6c7cf5d42aa9c4298fd0b

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a964f67b54d7f82b10c0d6f36cf6ef544af6e97efed9494c3a528ead9495678d
MD5 3a1f28260c2270fe3c988c7a9eb8d4e3
BLAKE2b-256 bf487af1c64f8d3f9dfc40c6d9d9ef7e9071389a69bec2828b35ea635db8e4b9

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e0e66abf24a6323285e2387083df4746390ba0269afa70fbd9019791f8e2f479
MD5 486be88892a82b79a69d01db5ae86e7e
BLAKE2b-256 669a829da41aa9a0e0ac67f4bafa1237409d052420a43459e6492a5b39f444d5

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 74bd7844dc13475cf8bcfc02ed32a1d25f36f2fde89f41b21de767487f5c4b51
MD5 156414687bc6d144194c909c320d338a
BLAKE2b-256 ba4d41244f2c8d6c6c32a223f85f67363fe30821996d13fc98f23bca03e71c82

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3128af9000c54f740399553ea4e1d1f2178592a7ca85f4494ba82d2e1917a8db
MD5 28f077153729359855c86b94052bf455
BLAKE2b-256 41d0584909a071cf68f9542ecd61ec3313e35d91b06ebe5fb0a9c5726b777cc4

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9c8eaa2d258f73621817544e23045a3c3b7fff49448738731020588b5013ffeb
MD5 5488d48684f12b0eab29b1383d5c491e
BLAKE2b-256 98bf5610744d6e6fe651940265a3abc31ccb1b33c8b3b69d0209179bf4542331

See more details on using hashes here.

File details

Details for the file arm_pyart-1.15.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.15.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b55c9e59dc8c6f097c040da99d5be00351d3ada6ff7ad57bd08321b73f00b68a
MD5 9f3932ac53ac695602cb8ac7d2ba76d0
BLAKE2b-256 639fe16fe97aed6bce9ff9f14f48237fd6d79075fb479706b73296c3f7c82b75

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