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 0.10.2 has been released with a variety of fixes for upstream dependencies: * Fix for import error with xarray 0.12.2 * Fixes for pint 0.9 * Fixes skewT ticks issue with matplotlib 3.1 * Fixes for interpolation with scipy 1.3.0 * Allows using any version of pooch * Requires numpy >= 1.12.0 For full release notes see the GitHub release page. https://github.com/Unidata/MetPy/releases/tag/v0.10.2 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, using support-python@xxxxxxxxxxxxxxxx, or on this list. You can also ask questions using the "MetPy" tag on Stack Overflow. https://github.com/Unidata/MetPy/issues https://stackoverflow.com/questions/tagged/MetPy Ryan -- Ryan May, Ph.D. Software Engineer UCAR/Unidata Boulder, CO
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