MetPy

Collection of tools for reading, visualizing andperforming calculations with weather data.

These details have not been verified by PyPI

Project links

Project description

The space MetPy aims for is GEMPAK (and maybe NCL)-like functionality, in a way that plugs easily into the existing scientific Python ecosystem (numpy, scipy, matplotlib).

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

1.6.3

Aug 26, 2024

1.6.2

Apr 2, 2024

1.6.1

Jan 10, 2024

1.6.0

Dec 28, 2023

1.5.1

Jul 7, 2023

1.5.0

May 16, 2023

1.4.1

Mar 16, 2023

1.4.0

Dec 23, 2022

1.3.1

Jul 5, 2022

1.3.0

Apr 6, 2022

1.2.0

Jan 23, 2022

1.1.0

Aug 9, 2021

1.0.1

Apr 28, 2021

1.0

Dec 22, 2020

1.0.0rc2 pre-release

Oct 9, 2020

1.0.0rc1 pre-release

Jan 14, 2020

0.12.2

Aug 6, 2020

0.12.1

Apr 18, 2020

0.12.0

Jan 6, 2020

0.11.1

Oct 18, 2019

0.11.0

Sep 30, 2019

0.10.2

Jul 6, 2019

0.10.0

Jan 6, 2019

0.9.2

Sep 29, 2018

0.9.1

Aug 27, 2018

0.9.0

Aug 27, 2018

0.8.0

May 17, 2018

0.7.0

Jan 4, 2018

0.6.1

Nov 5, 2017

0.6.0

Sep 15, 2017

This version

0.5.1

Apr 21, 2017

0.5.0

Apr 4, 2017

0.4.3

Jan 18, 2017

0.4.2

Nov 18, 2016

0.4.1

Nov 4, 2016

0.4.0

Oct 14, 2016

0.3.1

Jun 18, 2016

0.3.0

Feb 8, 2016

0.2.1

Jul 14, 2015

0.2.0

May 14, 2015

0.1.0

Apr 22, 2015

Download files

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

Source Distribution

MetPy-0.5.1.tar.gz (1.6 MB view details)

Uploaded Apr 21, 2017 Source

Built Distribution

MetPy-0.5.1-py2.py3-none-any.whl (154.0 kB view details)

Uploaded Apr 21, 2017 Python 2 Python 3

File details

Details for the file MetPy-0.5.1.tar.gz.

File metadata

Download URL: MetPy-0.5.1.tar.gz
Upload date: Apr 21, 2017
Size: 1.6 MB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for MetPy-0.5.1.tar.gz
Algorithm	Hash digest
SHA256	`bd02ee47e8fe0f9ff86dfc86eee81fd2064403e5275a3ac5cc882a583ee24100`
MD5	`fc75a17641317318cf65052cdc34ef04`
BLAKE2b-256	`7b1cbcd89e59dad1c44b7f0698b51a363e5d40057becc50eb864973688c3e1b7`

See more details on using hashes here.

File details

Details for the file MetPy-0.5.1-py2.py3-none-any.whl.

File metadata

Download URL: MetPy-0.5.1-py2.py3-none-any.whl
Upload date: Apr 21, 2017
Size: 154.0 kB
Tags: Python 2, Python 3
Uploaded using Trusted Publishing? No

File hashes

Hashes for MetPy-0.5.1-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`2f5b7fb20a6f9fd27e5fe3b758ed2c1fcfd485d8a4cf49eeab025ae2093c97f5`
MD5	`6b5b883baa9720fd5a3b475b8a678f66`
BLAKE2b-256	`726c803377e66d1f37a5a9b3c2b7537e9759d6eb526c96198c1a64e092961013`