[python-users] MetPy 0.5.1 Released

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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