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


Info: This package contains files in non-standard labels.

conda install

  • linux-64  v0.11.1
  • win-32  v0.7.0
  • noarch  v1.3.1
  • osx-64  v0.11.1
  • win-64  v0.11.1
To install this package with conda run one of the following:
conda install -c conda-forge metpy
conda install -c conda-forge/label/cf201901 metpy
conda install -c conda-forge/label/cf202003 metpy
conda install -c conda-forge/label/metpy_rc metpy


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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