Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.

MetPy 1.1.0 Released

Version 1.1.0 of MetPy, a collection of tools in Python for reading, visualizing, and performing calculations with weather data, has been released. Highlights of the new release include:

  • Added classes to read a variety of data in GEMPAK-formatted files
  • Added showalter_index calculation
  • Added PlotGeometry to the simplified plotting interface, which makes it easy to plot a variety of geospatial data (e.g. SPC convective outlooks or NHC hurricane wind swaths in geojson format). See this notebook for examples.
  • Significantly improved METAR parser to output both the visibility and remarks part of the reports, as well as better handle more weather codes (like 'FU')
  • Improvements to simplified plotting interface including better notebook tab completion, support for controlling font size, and GEMPAK-like zooming on areas (e.g. '+us')
  • Improved detection of problematic soundings in calculations
  • Dropped support for Python <3.7 and NumPy <1.17
  • Reduced the time it takes to import metpy.io
  • Fixed up a variety of unit issues in calculations

Contributors

@dopplershift, @joejoezz, @dcamron, @C2oWisComing, @jthielen, @github-actions[bot], @lswenson, @kgoebber, @23ccozad, @sgdecker, @ShunsukeHoshino, @jrleeman, @albernsrya, @lbunting, @dlaw, @akrherz, @mabaxter, @michaelavs, @nawendt, @eliteuser26 contributed code to this release.

For full release notes see the GitHub Release Page.

MetPy packages are available for Conda on the conda-forge channel and for pip from the Python Package Index. They can be installed with:

  pip install metpy==1.1.0  
or
  conda install -c conda-forge metpy=1.1.0  

Let us know if you run into any problems, either at MetPy issue tracker, or using support-python@unidata.ucar.edu. You can also ask questions using the "MetPy" tag on Stack Overflow, or on GitHub Discussions.

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