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

This version

1.16.1

1.16.0

1.15.2

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-1.16.1.tar.gz (55.0 MB view details)

Uploaded Source

Built Distributions

arm_pyart-1.16.1-cp311-cp311-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.11 Windows x86-64

arm_pyart-1.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

arm_pyart-1.16.1-cp311-cp311-macosx_11_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

arm_pyart-1.16.1-cp311-cp311-macosx_10_9_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

arm_pyart-1.16.1-cp310-cp310-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

arm_pyart-1.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

arm_pyart-1.16.1-cp310-cp310-macosx_11_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

arm_pyart-1.16.1-cp310-cp310-macosx_10_9_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

arm_pyart-1.16.1-cp39-cp39-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

arm_pyart-1.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

arm_pyart-1.16.1-cp39-cp39-macosx_11_0_arm64.whl (9.6 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

arm_pyart-1.16.1-cp39-cp39-macosx_10_9_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file arm_pyart-1.16.1.tar.gz.

File metadata

  • Download URL: arm_pyart-1.16.1.tar.gz
  • Upload date:
  • Size: 55.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for arm_pyart-1.16.1.tar.gz
Algorithm Hash digest
SHA256 0eaf9cb0f02525c2720638dd6ac9344d32d3785576100245618d4e02c3dd9c06
MD5 cf60bf135923affdc399c36a4c399e28
BLAKE2b-256 182ce6124e01e641bc373d97f1d1ac007f7558d89bbb9a1dec6a77d2bf2c419b

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ca4141703c37e45403dbe72d86e371db6ece8008217f6a0794ffef43fd838ce6
MD5 467439b1a52de93061f405640a89893a
BLAKE2b-256 50ba1c17c1bd0ca53c5ae78ae8b16512f553d857a9548a2d9241f3a55e5fecb5

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 711881661a3786b0acc1d9c33452467f084efef7d0808eb50d5a1f2273115a54
MD5 f763e2187bbd69c00be6bddc9a98863c
BLAKE2b-256 843da77df7cabdb04857e050b185847e88b7390608c10eb47da243184f2c09fd

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e38704c009af83ef4d0f383d4e41eac30cde914b95dd61476aa3a9628d717133
MD5 f3bb56a598cad2c0a90eb9a3947d666e
BLAKE2b-256 6d70d78db143281960510c11b112c859d716def9e5569b16525dbfbeefc7588b

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 afa388ac1369bc576c9bfd9bd88ee7a434b9a4373433f0681fb6fc0e55998786
MD5 149b68d3ec29e95f35b69414ba2ffd55
BLAKE2b-256 9fa2ad7a790941eb418be64a55245120b886d395aca482967e6f567994237392

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 567737f96aa0543eec791a5bad86e7b4cd2d272476b913a9ef35355cee77215f
MD5 ecfe39abe9fad0cd7255d184f5ca13cc
BLAKE2b-256 5dc5872d52950df8cfda79a2d05e63d3e344bc1e3d209c777cfcebddb837366b

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 374b0f58e0ad5ce71361bd9a8dd4b70282eed7b56d2bdf25b965c31ccad2faee
MD5 694778eb3b3fa5c9f5fb4b408315d474
BLAKE2b-256 c1f4a927cea161cf32bac4f457b1a3afac176af1dafa2738d45a45df73dc0144

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b2ff2fe8e21f4a8de015e3af275799eec6a3082ca095be6a82f3e90c3b758805
MD5 57b84a1909121326e8655266cda51bcc
BLAKE2b-256 ff18824a06c6163b75a30d006f34ae514aa8c7952b9dbf1171924bd3b16b74ea

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f881b09ba49d61ac77b63bfba01c04cb8b11cc29453ce291b3faf2bed6aff9e4
MD5 db47f627979e5ae20fa82c9110aeaeb4
BLAKE2b-256 f672d7dabb5ada4c3aedc8ee46e4505081d6f1d9d411ff929315750b7ed2417d

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 c0f50fcf88060a12fe0f127b3783db046494dedf561f933f33c76653fc5cad69
MD5 5e8a14d659a052620340ec3acc3b9a86
BLAKE2b-256 3de998fb326a6a622486e083e981fd840a358827c5c6b70b551ab4c60bc524c8

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5e57a9ea39b282850b768a7ed1279d361ce71bb8d6cd944cfee87af4f52945f5
MD5 b574c3353d742491ffa283d5f1e9546c
BLAKE2b-256 124809da99403a7c724bae20d583cd6ffcca851a61295226bcdce82938605ccd

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4a130174b3d25a71bf8f54fbc3c1ac814bf93641eb9287cfde9fd0ab9a8ad617
MD5 5503ad212c1458eec0e2c24fbfb24d90
BLAKE2b-256 bc55bddd7b3cb43a43ca9d9ef486112d7ac9702d9fc1532d9bcfa24639a88fe0

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.16.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.16.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8496b1aa8f675ecfb70460c796b995097f1252727eb0689fbb96e804acd5fb93
MD5 376cb08b9382978104f4d13c02554a29
BLAKE2b-256 d5f983c37eab3c5a7e9cbd36f4850ef00d194c462e6b1e404ae210febffe79ea

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