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

1.15.1

1.15.0

1.14.6

This version

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-1.14.5.tar.gz (53.6 MB view details)

Uploaded Source

Built Distributions

arm_pyart-1.14.5-cp311-cp311-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

arm_pyart-1.14.5-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-1.14.5-cp311-cp311-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

arm_pyart-1.14.5-cp311-cp311-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

arm_pyart-1.14.5-cp310-cp310-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

arm_pyart-1.14.5-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-1.14.5-cp310-cp310-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

arm_pyart-1.14.5-cp310-cp310-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

arm_pyart-1.14.5-cp39-cp39-win_amd64.whl (9.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

arm_pyart-1.14.5-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-1.14.5-cp39-cp39-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

arm_pyart-1.14.5-cp39-cp39-macosx_10_9_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

arm_pyart-1.14.5-cp38-cp38-win_amd64.whl (9.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

arm_pyart-1.14.5-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-1.14.5-cp38-cp38-macosx_11_0_arm64.whl (9.1 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

arm_pyart-1.14.5-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-1.14.5.tar.gz.

File metadata

  • Download URL: arm_pyart-1.14.5.tar.gz
  • Upload date:
  • Size: 53.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for arm_pyart-1.14.5.tar.gz
Algorithm Hash digest
SHA256 a06d06f396a261de2add69aa2262670004f039c08c7e0bc141beb7041043341b
MD5 dc5731355096d1a3128191ba22dc8ca7
BLAKE2b-256 66c21ad409219cdde74dd654613174ac613b14b234c5a1e6aaf41e1cb6adcb60

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 4952479c30594b31249cf5ba6d29abf1ca35f0a9cb1c573b7640c6deb7ba63d3
MD5 519f960c8d3f2da5cc2c808bcfe400dc
BLAKE2b-256 b71cbbaa13f9804019392ab1314ee4e5cbf4f29c3809b4f6b2e237479f1a2a6d

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 46761314ff41b93f873aa05add8b33fbfc263ca0c61eb202324e8d8bd4900803
MD5 34347dabc3f70d441b4119b96a58c6fb
BLAKE2b-256 113e7f4a34ee283720169ad39fb3952403756fcfd3897c2fdf17e8372d4d98fc

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 50ff72b2ac7afc2fe48649a41242ac4e7f8e35b7b970b7d06b3500c8bdad5b17
MD5 fb7f8e4bd58f2d32ed614c8d1dc9f350
BLAKE2b-256 d6b8e049b1ce5dcc5a6a64ce8edc4c52928cc174b3debf1e88416fcfa67ab3b2

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 eac940d8cc4b0156482378e4431a6cb54ceb657faca4c6400af377a149ceb436
MD5 a392cdd340470fbff385408e747483a2
BLAKE2b-256 175be348f3c3acd219a724fd5436c879616b5657935322fc7e7fcb008da3d6c4

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 dbc086e665472333f75dcf5932ae1f5d2938e22cdc9e2ae07c8a276f95446b42
MD5 b1db3199909d2b74b960b96b66903351
BLAKE2b-256 cff08d5891e2125bf9c9398b6f8faa869254c686900ac800b994fc26141f7ce3

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a8d43452ebd65d25b5542a8b2c9463f57079a943800e042f876a84687cfa023a
MD5 0845686470f5e0d9316c36042b343736
BLAKE2b-256 d33026fc8a206d51ef158e6d3127d0b0a2155bf408cf03bb9a51af5eecc3c51e

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3dc45cea7f6fe9a0b82698acadad6bb89a35373b138d89ad6ca2c969ff10a5a5
MD5 e8eea5be2986a45ec0c1e4eb6c16bc14
BLAKE2b-256 d5d110fa2a9e0bef89a6baffe2fa094f3f4cd47b006271179006885c28fe4742

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a08cdf16ceb5fb7a11023b488e90e353dde22197cf3cc2bc84124bc12538a7d2
MD5 bacf6d0c1ddabb8ef9e995a68927078b
BLAKE2b-256 e0de26210b3e264beda40644bdeb66d8f667930241da3935f666ede8dd4c121c

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1e71a21c22fab772e76655a8f489e72bb98a374631238eb267455337e45e92a3
MD5 694316620d5d36136a1f4f666f5d5f18
BLAKE2b-256 cd6839d4adeba2c37d30a008e300ce32120fc2b1f6ea22c527a085ac80ccf0ea

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a3260b7d910a9198bc4c46a8b8521894b1c57869f533fc1c849922d5530adf77
MD5 31c76a5e596a6c29f112bca6d54e49f1
BLAKE2b-256 c5e5de7468da337277ad4e5af582bbd04b5a4d6d026079f295e70cdbbbc41f3a

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 19dbb36d5accb3c711c12adc26f7c23fd1348f3a7100e37f30651539c8b81ac8
MD5 ff8250a26c3760110b825d23255badaf
BLAKE2b-256 4758aa133d17a556b71fcc8d7b54682cb59107df2f917e8a21e951569cc53be4

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e45972c6ef602abb2c989b6ec9ff7fb1507890203011e4c01ca838333ba622b1
MD5 27c271aea1ced89e6887ce127ef4650a
BLAKE2b-256 692527813dc11ab86878931c3f8629d72ac7960f75115ca87fdca3c99c152fa5

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 1f54ec6dafe27692e5cda2308120bc01ba8290ba11ca23450c07a6175304de30
MD5 244e103a0379fa65a5377e901ffd5dd5
BLAKE2b-256 6f19e0cd19072e49fba20bcb9520d556c0f46b4a93e927e4a9c17729c18f91bc

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7196f3ff20e031859f89ac21effa3d0d43c2bc13cc51bdcfc0229cf08438285a
MD5 48b611af81d019c1c61e86e73536860b
BLAKE2b-256 c2bc274cb01dc845cfa8c677ce2cd198c045c3f3f43c09573c67a9364b17534f

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 81b6ec0ddcf0b3ccca53356e5a7f9763b392880ef0c71e01b313d469abcb7e8a
MD5 11f7605c76267b3b7c6449dc314e6e9d
BLAKE2b-256 0ac3da1f90c7b4891943bf76d35abc12722c1fe4cb012600f8288d4ccbfb9001

See more details on using hashes here.

Provenance

File details

Details for the file arm_pyart-1.14.5-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arm_pyart-1.14.5-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 13edd4e690df0383eec86c591a84fa35c13fede927d98e92456845c8a2daefa1
MD5 c89f613c5d6849cdd7d0df580a946d8b
BLAKE2b-256 f9507e4cee92cadc027a1f8a4b4ca2ebe7c5fe8c16822876ca0c6e8440dd3b3a

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