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.
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.
Hi, MetPy 1.2.0 has been released: * Added K-Index and Totals Totals sounding index functions * Added wind gusts to parse METAR output * Significant performance increase for moist lapse and a variety of related functions * GEMPAK sounding reader is much faster now * Fixed SkewT compatibility with Matplotlib 3.5 * Fixes for a variety of edge cases in `moist_lapse` * Variety of bugs fixed in METAR and GEMPAK readers * Full support for Python 3.10 For full release notes see the GitHub release page: https://github.com/Unidata/MetPy/releases/tag/v1.2.0 MetPy packages are available for Conda on the conda-forge channel and for pip from the Python Package Index: https://anaconda.org/conda-forge/MetPy https://pypi.python.org/pypi/MetPy Let us know if you run into any problems, either at MetPy issue tracker, or using support-python@xxxxxxxxxxxxxxxx. You can also ask questions using the "MetPy" tag on Stack Overflow, or on GitHub Discussions. https://github.com/Unidata/MetPy/issues https://stackoverflow.com/questions/tagged/MetPy https://github.com/Unidata/MetPy/discussions Cheers! -- Ryan May, Ph.D. Software Engineer UCAR/Unidata Boulder, CO
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