Skip to main content

Py-ART: Python ARM Radar Toolkit

Reason this release was yanked:

Issue with dependency

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


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-1.13.1.tar.gz (43.8 MB view details)

Uploaded Source

Built Distributions

arm_pyart-1.13.1-cp310-cp310-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

arm_pyart-1.13.1-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-1.13.1-cp310-cp310-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

arm_pyart-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

arm_pyart-1.13.1-cp39-cp39-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

arm_pyart-1.13.1-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-1.13.1-cp39-cp39-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

arm_pyart-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

arm_pyart-1.13.1-cp38-cp38-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

arm_pyart-1.13.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

arm_pyart-1.13.1-cp38-cp38-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

arm_pyart-1.13.1-cp38-cp38-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file arm_pyart-1.13.1.tar.gz.

File metadata

  • Download URL: arm_pyart-1.13.1.tar.gz
  • Upload date:
  • Size: 43.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for arm_pyart-1.13.1.tar.gz
Algorithm Hash digest
SHA256 bc230dc70d4c45b0f20f5c5a56d08317dd0b66c003c82b4f550dfd2b6ac61159
MD5 c275a91f4745cf7027906038c1745dc6
BLAKE2b-256 ce2498ba1796bf90047a1e5ceded0e0f921aa7312f17cfb8dd4df0e551b7a0d1

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 0be79d9c256fa1f75aad63de8188d7a928f5286aa1292e7d387248b539e5e455
MD5 2a4d67be1eb209d168e18e245f71fcac
BLAKE2b-256 f24e44ad6ded7eeb1dddfa72ea735802e704e056214a21980563606bfb1da29f

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0c0e254398b2a21e4cfb0a8b79101919d7d63f86c57669d76007c73a67566d2c
MD5 4bfbb197e8a4a73770f08f88a80bd390
BLAKE2b-256 499f9c060c86fe4c4af60567a287ddf3a6f2242e738ab2170a9409db80270c55

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 94038d11d650551d2bd848a1816e3578ddfc831daf904ec454dfcf89bbea2e87
MD5 7d81eef054f006d36488937ca4ce0975
BLAKE2b-256 237bde8fe0471dbe812ff6e37867bf1ea3762118bbafe26e4b83e66754c66e53

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 348105c0d48f04fd62df232d9675dcc766e46974ffc223c81bdcf08a7d8d3b0d
MD5 52f58912c68a09565c3c41c877374ee4
BLAKE2b-256 0ec002ad9e6b468164a74b1712a0cf0ead965d00824ee57e890e89024fb7de81

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 df9287d86ee6090320e3afc0d66efe3624e2be0388154ec99bd2814286d01e65
MD5 fda8a9b15e690906b4cf4cfffdf2e62e
BLAKE2b-256 c3bcb272eef88ecaa2a14f94ec6da0675947b588b172fe1bc390a6f1f831811c

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b63333d8cc908339f869fdb01019ec2a7affa33d557e7fe43e71a5672edc9601
MD5 8b7498895a2e8a823bb8012415bdb54c
BLAKE2b-256 1853646b0dc99978beb976525495f0a697324b3342a403e2d26951c6b133d1ca

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 785c1363a592c20e318a2651f5f6ec8e3e4d7617195509c3612c1cef2c2a0bcf
MD5 6833528b62b0b3d375c8ac5dc50ccfc7
BLAKE2b-256 99af98083e8d0587dadb8d1fea9f0be12a983e6d4af7203e99ae0ba5bba8cd4f

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 60e5fafdbe1faee5cea78217373b7cb78f650bededcfd68b5edae1fd0b1ead50
MD5 1f4b246dd44a7c3e1654b2d8d2267f3e
BLAKE2b-256 cf69f836a7a06d04e11051b0570d0219a3479bfc07e99ec761aa7f7cc9753616

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 43fad5f7fe46f960d5f911f57ddf057d163931bcd44c4dd4fcc086503b7de62b
MD5 3192c6f5e4486d95b30499aca8398ccb
BLAKE2b-256 28220da9b88ff42e92de082ea9dc8e9f6172e8d4807c8ac7dcfce31d1c06c7b0

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ae116de39db9acebd45515e1ab61c47548e360ef09a2932a831ad67fdc497383
MD5 423cc2f3c7b11023edff9c6285fd14ae
BLAKE2b-256 7876eff20d114d4c52ab2d34a5c78848a7a7bbf79bb86466cbfaeeb79aafb9d2

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d1214dc24e41385b88366400c47464324390c72defcdadf914482ccc889d4e87
MD5 24873b1714229f1bae168dffd98d423e
BLAKE2b-256 7474641f2572f946de995c29cc5b7cb8a591360f6f364b068170ae02595870a6

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.13.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.13.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 29bbed9a78fe8da38caa93d6e41f83a54f5f2f7471271288e30e482cd05a884f
MD5 e38807dc035d89f874c96a5e4ede893c
BLAKE2b-256 21cc57bff64143e53bbf619af532f20844196611e62751a55d150bf54abeb4e2

See more details on using hashes here.

Provenance

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