arm-pyart

Py-ART: Python ARM Radar Toolkit

These details have not been verified by PyPI

Project links

Homepage

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

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

1.19.3

Nov 8, 2024

1.19.2

Nov 7, 2024

1.19.1

Sep 7, 2024

1.19.0

Aug 30, 2024

1.18.7

Aug 8, 2024

1.18.6

Jun 25, 2024

1.18.5

Jun 24, 2024

1.18.3

Apr 16, 2024

1.18.2

Apr 12, 2024

1.18.1

Apr 5, 2024

1.18.0

Mar 7, 2024

1.17.0

Jan 12, 2024

1.16.1

Oct 13, 2023

1.16.0

Sep 6, 2023

1.15.2

Jun 18, 2023

1.15.1

May 17, 2023

1.15.0

Apr 12, 2023

1.14.6

Mar 7, 2023

1.14.5

Jan 30, 2023

1.14.4

Jan 25, 2023

1.14.3

Jan 7, 2023

1.14.2

Jan 5, 2023

1.14.1

Nov 16, 2022

1.14.0

Nov 8, 2022

1.13.3

Oct 24, 2022

This version

1.13.2

Sep 26, 2022

1.13.1 yanked

Sep 26, 2022

Reason this release was yanked:

Issue with dependency

1.13.0

Sep 21, 2022

1.12.7

Jul 19, 2022

1.12.6

Jun 29, 2022

1.12.5

Jun 28, 2022

1.12.4

Jun 10, 2022

1.12.3

Jun 10, 2022

1.12.2

May 2, 2022

1.12.1

Apr 8, 2022

1.12.0

Apr 6, 2022

1.11.8

Mar 15, 2022

1.11.7 yanked

Mar 15, 2022

Reason this release was yanked:

broken

1.11.6

Sep 23, 2021

1.11.5

May 25, 2021

1.11.4

Mar 11, 2021

1.11.3

Nov 11, 2020

1.11.2

Sep 2, 2020

1.11.1

Mar 20, 2020

1.11.0

Jan 30, 2020

1.10.4

Jan 15, 2020

1.10.3

Oct 28, 2019

1.10.2

Sep 17, 2019

1.10.1

Apr 24, 2019

1.9.2

Sep 6, 2018

1.9.1

May 17, 2018

1.9.0

Feb 15, 2018

1.8.0

Feb 27, 2017

1.7.0

Sep 16, 2016

1.6.0

Feb 5, 2016

1.5.0

Sep 1, 2015

1.4.2

Jan 5, 2023

1.4.0

Jun 9, 2015

1.3.0

Feb 19, 2015

1.2.0

Feb 3, 2015

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-1.13.2.tar.gz (43.7 MB view hashes)

Uploaded Sep 26, 2022 Source

Built Distributions

arm_pyart-1.13.2-cp310-cp310-win_amd64.whl (9.0 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.10 Windows x86-64

arm_pyart-1.13.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.7 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.10 manylinux: glibc 2.17+ x86-64

arm_pyart-1.13.2-cp310-cp310-macosx_11_0_arm64.whl (9.1 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.10 macOS 11.0+ ARM64

arm_pyart-1.13.2-cp310-cp310-macosx_10_9_x86_64.whl (9.2 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.10 macOS 10.9+ x86-64

arm_pyart-1.13.2-cp39-cp39-win_amd64.whl (9.0 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.9 Windows x86-64

arm_pyart-1.13.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.8 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.9 manylinux: glibc 2.17+ x86-64

arm_pyart-1.13.2-cp39-cp39-macosx_11_0_arm64.whl (9.1 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.9 macOS 11.0+ ARM64

arm_pyart-1.13.2-cp39-cp39-macosx_10_9_x86_64.whl (9.2 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.9 macOS 10.9+ x86-64

arm_pyart-1.13.2-cp38-cp38-win_amd64.whl (9.0 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.8 Windows x86-64

arm_pyart-1.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.9 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.8 manylinux: glibc 2.17+ x86-64

arm_pyart-1.13.2-cp38-cp38-macosx_11_0_arm64.whl (9.1 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.8 macOS 11.0+ ARM64

arm_pyart-1.13.2-cp38-cp38-macosx_10_9_x86_64.whl (9.2 MB view hashes)

Uploaded Sep 26, 2022 CPython 3.8 macOS 10.9+ x86-64

Hashes for arm_pyart-1.13.2.tar.gz

Hashes for arm_pyart-1.13.2.tar.gz
Algorithm	Hash digest
SHA256	`ff3b1e83655006233650c45bbd284ae97750353d524afb5bb74e1bf96a21c8a4`
MD5	`9a3f39933fa70b9691ebb48f65efeef4`
BLAKE2b-256	`73e52efeb34d50c86748974eaac1bb3de4213f658255fe02d1497c47b07f8c2d`

Hashes for arm_pyart-1.13.2-cp310-cp310-win_amd64.whl

Hashes for arm_pyart-1.13.2-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`2c8a32a0acd9570801d04801b45d7f993db05b52e7e48db896cfbe71cf8cc0f5`
MD5	`287a1314135efdd538fc326bcdcb9a96`
BLAKE2b-256	`71508bfb62ebc197ff77e7d03878f581a79452bcb2a0f44e67759904ad2bc3de`

Hashes for arm_pyart-1.13.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for arm_pyart-1.13.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`2025d52c78420ae025a7be1d4f9b5d6e9a3d4edcefef3ba9e385cf64b72dcc8f`
MD5	`3071bf164d5d3e99ac40bb91b34498ce`
BLAKE2b-256	`fd7672be51ed91e73ebc7889fd7e708ed9bcd01a7199b62e5705b6129dae6909`

Hashes for arm_pyart-1.13.2-cp310-cp310-macosx_11_0_arm64.whl

Hashes for arm_pyart-1.13.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`69029106565e06ee4d24cecaa8165475726be076c0768979aae16369d5057da1`
MD5	`99f1b4b332d4c7648c88a56e07d9131c`
BLAKE2b-256	`3a074c817698084f3a71abd9b84d1d782981c550576df8427a830581f6ebf1b3`

Hashes for arm_pyart-1.13.2-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for arm_pyart-1.13.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`e7f1bcb492ddd7911d8dad78a599478253405192f2d23a01a93cecf5afbaba88`
MD5	`02ed756f7e81fded5d0e85b8fae5a633`
BLAKE2b-256	`2f55d5d0f2057dfb52847d2932ca303d22e953b9f8a82bb12108bc272cdc05ab`

Hashes for arm_pyart-1.13.2-cp39-cp39-win_amd64.whl

Hashes for arm_pyart-1.13.2-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`b2f753f06c53091ea3009ae3675d08f8361d18f1d1dff80332557c110c141a0b`
MD5	`8431d815a8d211b21570fc3b732a49d1`
BLAKE2b-256	`de2e202a902b4f5ff07de238ec3a77a62cf2eaf1e45e72bb541dd6ba3b2db395`

Hashes for arm_pyart-1.13.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for arm_pyart-1.13.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`aed68df60ad5a279964a27a95c51d1f59a329c1a7703edd4a4b5332e9ca41c62`
MD5	`336f8b1225710b60e088bbda304b715f`
BLAKE2b-256	`71f273086ec50d8a290e2086eabe30c6dc1c436d37207b16288a5b3cad7c1b0d`

Hashes for arm_pyart-1.13.2-cp39-cp39-macosx_11_0_arm64.whl

Hashes for arm_pyart-1.13.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`50f30f3a1f593b7b2bc84e72b2fa4a60e76fda40cfd8e7cce9dea370b29ed408`
MD5	`a9108fd77df173ce15958bf2ff6bac7d`
BLAKE2b-256	`f605b9231d7692573853db4e559762b4fcb0cb461cebb71de1925443cb26ad5e`

Hashes for arm_pyart-1.13.2-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for arm_pyart-1.13.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`442d460faef00ba838b7c57cddeb976f0d8ab55716d70f526ab2cb37f9b5d517`
MD5	`8231ce51d9a1fbb81ef2c500e5c8714f`
BLAKE2b-256	`d0a7e5f5bea70df6d234e8d1d08b1cea092ecd4ce2c78562c4b21f547f0da509`

Hashes for arm_pyart-1.13.2-cp38-cp38-win_amd64.whl

Hashes for arm_pyart-1.13.2-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`d9e9260af4534abf9c9156d43de4a74c44df012e5733241f442c9098707e62df`
MD5	`640047f96b6d0c38c2288c3fd385a89e`
BLAKE2b-256	`d55c2efe3b3f5bfa82c7af392a25d3f3f65e304168fb65cf12113796753a2152`

Hashes for arm_pyart-1.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for arm_pyart-1.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`a2e8c92e38d91a2d8f207b6044273110f67177c00d4dc30961bd8a8ea3a0fd27`
MD5	`8d03fe35b239aca00324c1d61ddbc8ea`
BLAKE2b-256	`975cad8683af4b19225d88c87b258d50b09f40937817e74a1af4d4fb9d413b30`

Hashes for arm_pyart-1.13.2-cp38-cp38-macosx_11_0_arm64.whl

Hashes for arm_pyart-1.13.2-cp38-cp38-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`a5e70d86fda6f1c59b6339827d312ffb28bbeb742dab9f8f45385c0286c85b97`
MD5	`682f442124da65dafca679e34355dd2f`
BLAKE2b-256	`78828e3229111bbd64829f2b6147fec97a3dc15821eaa576d18441590fdf547f`

Hashes for arm_pyart-1.13.2-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for arm_pyart-1.13.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`7c474da6c6fc98091a12db36a355064ea3e5cf88d2b63e3a374b64e83c3c3376`
MD5	`b4bdc4933600f51fdb226780a3a74bf7`
BLAKE2b-256	`5892ff8a861b4436ec025cee50f466cec51e654bc0e9339c815088fec749b524`