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MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

copied from cf-staging / metpy

Installers

Info: This package contains files in non-standard labels.
  • noarch v1.6.3
  • linux-64 v0.11.1
  • osx-64 v0.11.1
  • win-32 v0.7.0
  • win-64 v0.11.1

conda install

To install this package run one of the following:
conda install conda-forge::metpy
conda install conda-forge/label/cf201901::metpy
conda install conda-forge/label/cf202003::metpy
conda install conda-forge/label/metpy_rc::metpy

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). So, if you take the average GEMPAK script for a weather map, you need to: read data, calculate a derived field, and show on a map/skew-T. One of the benefits hoped to achieve over GEMPAK is to make it easier to use these routines for any meteorological Python application; this means making it easy to pull out the LCL calculation and just use that, or re-use the Skew-T with your own data code. MetPy also prides itself on being well-documented and well-tested, so that on-going maintenance is easily manageable.


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