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 1.0.1 has been released: * Fixed issue with passing masked arrays to `get_layer`. Also standardized internal unit handling to avoid more of these issues * Fixed nan-handling and `wet_bulb_temperature` * Fixed NEXRAD parsing with legacy-formatted files * Fixed declarative contour plotting with global data * Fixed issue where `.metpy.units` would break lazy loading of xarray data * Fixed Bunkers storm motion to properly non-pressure-weighted means * Fixed unit behavior in `mean_pressure_weighted` Contributors ------------ @dopplershift, @dcamron, @akrherz, @jthielen, @zmoon, @jsillin, @kgoebber, @ddirks, @aschueth, @jrleeman 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. https://github.com/Unidata/MetPy/releases/tag/v1.0.1 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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