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NOTICE: This version of the NSF Unidata web site (archive.unidata.ucar.edu) is no longer being updated.
Current content can be found at unidata.ucar.edu.
To learn about what's going on, see About the Archive Site.
Hi, MetPy 0.5.1 has been released, fixing some issues in 0.5.0: **Impending API CHANGE** In this version we have added support for specifying (via `dim_order` keyword argument) array ordering for the 2D grid functions (`geostrophic_wind`, `advection`, `h_convergence`, `v_vorticity`, and `convergence_vorticity`). The default behavior for all releases < 0.6 has been x, then y (specified as `'xy'`). For >= 0.6, we will be changing that to `'yx'` to make it simpler to use most data sources. In this release, we will issue a warning if you are using the default ordering--this warning can be suppressed by passing the `dim_order` argument with either `'xy'` or `'yx'`, whichever is appropriate for your data. Other fixes: - Fixed windchill with Kelvin temperature units - Fixed reversed ordering of GINI data y-coordinates (relative to image row order) - Fixed inaccuracy of example code in docstrings - Fixed `lfc()` to return NaNs instead of `None` when no LFC found For full release notes see the GitHub Release Page. https://github.com/Unidata/MetPy/releases/tag/v0.5.1 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's issue tracker, or on this list. https://github.com/Unidata/MetPy/issues Ryan -- Ryan May, Ph.D. Software Engineer UCAR/Unidata Boulder, CO
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