Hi,
MetPy 1.0 Release Candidate 2 has been released. The biggest change is that
now when DataArrays can be returned from most calculations when they are
passed as inputs (this may break some code not expecting this behavior).
This is the final planned release candidate before the full 1.0 release
(planned in about a month), so any testing and feedback is appreciated,
especially in the DataArray support. We should also have a 1.0 upgrade
guide available soon in the documentation.
This release can be installed from:
pip install --pre metpy=1.0
or
conda install -c conda-forge/label/metpy_rc metpy=1.0
Additional changes in RC2 include:
* `dx`/`dy` and `dim_x`/`dim_y` arguments `divergence` and `vorticity` are
now only passable as keyword arguments
* Can no longer *set* values in a `DataArray` using the `unit_array`
accessor attribute
* `lat_lon_grid_deltas` now takes a `pyproj.Geod` instance directly rather
than keyword arguments for constructing one.
* Support for inputs where Pint `Quantity` instances are stored within
`DataArray` instances
* Fixes errors when passing masked arrays to various CAPE calculations
* Support for Albers Equal Area projection
* Many fixes updates for NEXRAD format support, including direct reading of
file objects from the NEXRAD S3 archive (from e.g. boto3) and using
`pathlib.Path` instances, as well as some updates for NEXRAD ORPG Build
19.0 changes.
* Improve default date handling in `parse_metar_file`* PyProj >= 2.3 is now
a required dependency for calculations, and CartoPy is only needed for
related plotting capabilities.
* `PlotObs.level` now defaults to `None`, or no subsetting.
* Using standard library modules `importlib.resources` and
`importlib.metadata` (and their backports) rather than `pkg_resources` from
setuptools. This fixes errors getting MetPy's version from unconventional
installs.
For full release notes see the GitHub release page:
https://github.com/Unidata/MetPy/releases/tag/v1.0 Release Candidate 2
Let us know if you run into any problems, either at MetPy issue tracker or
using support-python@xxxxxxxxxxxxxxxx:
https://github.com/Unidata/MetPy/issues
You can also ask questions using the "MetPy" tag on Stack Overflow:
https://stackoverflow.com/questions/tagged/MetPy
Ryan
--
Ryan May, Ph.D.
Software Engineer
UCAR/Unidata
Boulder, CO
