[python-users] MetPy 0.5.0 Released

• To: python-users@xxxxxxxxxxxxxxxx
• Subject: [python-users] MetPy 0.5.0 Released
• From: Ryan May <rmay@xxxxxxxx>
• Date: Tue, 4 Apr 2017 11:08:20 -0600

Hi,
#
MetPy 0.5.0 has been released. This release has a wide collection of new
features as well as minor bug fixes, including several contributions from
our community. Highlights:

- **API BREAK**: `lcl()` now returns both the pressure and temperature at
the lifted condensation level, rather than just pressure. Not only does
this simplify the use of `lcl`, but comes at no additional computation cost.
- Supported Python versions: added 3.6, dropped 3.3
- Galleries of symbols and color tables within the documentation
- SkewT improvements
  - Better handling of missing data
  - Default limits
  - Dedicated plotting routines for shading CAPE/CIN
  - Better handling of unit-ed arrays
- Added meteogram and 4 panel plot examples
- Wind speed and direction available directly from upper air data
- Additional calculations:
  - virtual_temperature
  - virtual_potential_temperature
  - density
  - el (equilibrium layer)
  - relative_humidity_wet_psychrometric
  - psychrometric_vapor_pressure_wet
- `GINIFile` now has an `img_extent` attribute to simplify plotting
- Added `reduce_point_density` function to remove overlapping points from
point data plots like `StationPlot`

For full release notes see the GitHub Release Page. If you're using MetPy
for publications, we also now have citation information.

https://github.com/Unidata/MetPy/releases/tag/v0.5.0
https://unidata.github.io/MetPy/citing.html

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