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conda-forge.org : 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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purl: pkg:conda/metpy
Keywords: atmospheric-science, hacktoberfest, hodograph, meteorology, plotting, python, scientific-computations, skew-t, weather, weather-data
License: BSD-3-Clause
Latest release: almost 2 years ago
First release: over 3 years ago
Dependent packages: 12
Dependent repositories: 104
Stars: 1,013 on GitHub
Forks: 371 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: about 12 hours ago