Changelog for python3-xarray-0.9.6-1.35.noarch.rpm :
Tue Aug 15 14:00:00 2017 toddrme2178AATTgmail.com
- Implement single-spec version
- Update to 0.9.6

* Please see changelog at:
https://github.com/pydata/xarray/blob/v0.9.6/doc/whats-new.rst

Thu Jan 28 13:00:00 2016 toddrme2178AATTgmail.com
- Rename package to python3-xray to match upstream naming.
- update to version 0.7.0:

* The project formerly known as \"xray\" is now \"xarray\", pronounced \"x-array\"!
This avoids a namespace conflict with the entire field of x-ray science. Renaming
our project seemed like the right thing to do, especially because some
scientists who work with actual x-rays are interested in using this project in
their work. Thanks for your understanding and patience in this transition.

* Breaking changes
- The internal data model used by :py:class:`~xray.DataArray` has been
rewritten to fix several outstanding issues. Internally, ``DataArray``
is now implemented in terms of ``._variable`` and ``._coords``
attributes instead of holding variables in a ``Dataset`` object.
- It is no longer possible to convert a DataArray to a Dataset with
:py:meth:`xray.DataArray.to_dataset` if it is unnamed. This will now
raise ``ValueError``. If the array is unnamed, you need to supply the
``name`` argument.

* Enhancements
- Basic support for :py:class:`~pandas.MultiIndex` coordinates on xray objects, including
indexing, :py:meth:`~DataArray.stack` and :py:meth:`~DataArray.unstack`:
- Support for reading GRIB, HDF4 and other file formats via PyNIO_. See
:ref:`io.pynio` for more details.
- Better error message when a variable is supplied with the same name as
one of its dimensions.
- Plotting: more control on colormap parameters (:issue:`642`). ``vmin`` and
``vmax`` will not be silently ignored anymore. Setting ``center=False``
prevents automatic selection of a divergent colormap.
- New :py:meth:`~xray.Dataset.shift` and :py:meth:`~xray.Dataset.roll` methods
for shifting/rotating datasets or arrays along a dimension
- Assigning a ``pandas`` object directly as a ``Dataset`` variable is now permitted. Its
index names correspond to the ``dims`` of the ``Dataset``, and its data is aligned.
- Passing a :py:class:`pandas.DataFrame` or :py:class:`pandas.Panel` to a Dataset constructor
is now permitted.
- New function :py:func:`~xray.broadcast` for explicitly broadcasting
``DataArray`` and ``Dataset`` objects against each other.

* Bug fixes
- Fixes for several issues found on ``DataArray`` objects with the same name
as one of their coordinates (see :ref:`v0.7.0.breaking` for more details).
- ``DataArray.to_masked_array`` always returns masked array with mask being an
array (not a scalar value) (:issue:`684`)
- Allows for (imperfect) repr of Coords when underlying index is PeriodIndex (:issue:`645`).
- Fixes for several issues found on ``DataArray`` objects with the same name
as one of their coordinates (see :ref:`v0.7.0.breaking` for more details).
- Attempting to assign a ``Dataset`` or ``DataArray`` variable/attribute using
attribute-style syntax (e.g., ``ds.foo = 42``) now raises an error rather
than silently failing (:issue:`656`, :issue:`714`).
- You can now pass pandas objects with non-numpy dtypes (e.g., ``categorical``
or ``datetime64`` with a timezone) into xray without an error
(:issue:`716`).
- update to version 0.6.1:

* The handling of colormaps and discrete color lists for 2D plots in
:py:meth:`~xray.DataArray.plot` was changed to provide more
compatibility with matplotlib\'s contour and contourf functions
(:issue:`538`). Now discrete lists of colors should be specified
using colors keyword, rather than cmap.

* Faceted plotting through :py:class:`~xray.plot.FacetGrid` and the
:py:meth:`~xray.plot.plot` method. See :ref:`plotting.faceting`
for more details and examples.

* :py:meth:`~xray.Dataset.sel` and :py:meth:`~xray.Dataset.reindex`
now support the tolerance argument for controlling
nearest-neighbor selection (:issue:`629`):
This feature requires pandas v0.17 or newer.

* New encoding argument in :py:meth:`~xray.Dataset.to_netcdf` for
writing netCDF files with compression, as described in the new
documentation section on :ref:`io.netcdf.writing_encoded`.

* Add :py:attr:`~xray.Dataset.real` and
:py:attr:`~xray.Dataset.imag` attributes to Dataset and DataArray
(:issue:`553`).

* More informative error message with
:py:meth:`~xray.Dataset.from_dataframe` if the frame has duplicate
columns.

* xray now uses deterministic names for dask arrays it creates or
opens from disk. This allows xray users to take advantage of
dask\'s nascent support for caching intermediate computation
results. See :issue:`555` for an example.

* Forwards compatibility with the latest pandas release
(v0.17.0). We were using some internal pandas routines for
datetime conversion, which unfortunately have now changed upstream
(:issue:`569`).

* Aggregation functions now correctly skip NaN for data for
complex128 dtype (:issue:`554`).

* Fixed indexing 0d arrays with unicode dtype (:issue:`568`).

* :py:meth:`~xray.DataArray.name` and Dataset keys must be a string
or None to be written to netCDF (:issue:`533`).

* :py:meth:`~xray.DataArray.where` now uses dask instead of numpy if
either the array or other is a dask array. Previously, if other
was a numpy array the method was evaluated eagerly.

* Global attributes are now handled more consistently when loading
remote datasets using engine=\'pydap\' (:issue:`574`).

* It is now possible to assign to the .data attribute of DataArray
objects.

* coordinates attribute is now kept in the encoding dictionary after
decoding (:issue:`610`).

* Compatibility with numpy 1.10 (:issue:`617
- update to version 0.6.0:

* Plotting methods have been implemented on DataArray objects
:py:meth:`~xray.DataArray.plot` through integration with matplotlib
(:issue:`185`). For an introduction, see :ref:`plotting`.

* Variables in netCDF files with multiple missing values are now decoded as
NaN after issuing a warning if open_dataset is called with
mask_and_scale=True.

* We clarified our rules for when the result from an xray operation is a copy
vs. a view (see :ref:`copies vs views` for more details).

* Dataset variables are now written to netCDF files in order of appearance
when using the netcdf4 backend (:issue:`479`).

* Added :py:meth:`~xray.Dataset.isel_points` and
:py:meth:`~xray.Dataset.sel_points` to support pointwise indexing of
Datasets and DataArrays (:issue:`475`).

* New :py:meth:`~xray.Dataset.where` method for masking xray objects
according to some criteria. This works particularly well with
multi-dimensional data:

* Added new methods :py:meth:`DataArray.diff ` and
:py:meth:`Dataset.diff ` for finite difference
calculations along a given axis.

* New :py:meth:`~xray.DataArray.to_masked_array` convenience method for
returning a numpy.ma.MaskedArray.

* Added new flag \"drop_variables\" to :py:meth:`~xray.open_dataset` for
excluding variables from being parsed. This may be useful to drop variables
with problems or inconsistent values.

* Fixed aggregation functions (e.g., sum and mean) on big-endian arrays when
bottleneck is installed (:issue:`489`).

* Dataset aggregation functions dropped variables with unsigned integer dtype
(:issue:`505`).

* .any() and .all() were not lazy when used on xray objects containing dask
arrays.

* Fixed an error when attempting to saving datetime64 variables to netCDF
files when the first element is NaT (:issue:`528`).

* Fix pickle on DataArray objects (:issue:`515`).

* Fixed unnecessary coercion of float64 to float32 when using netcdf3 and
netcdf4_classic formats (:issue:`526`).

Tue Jul 14 14:00:00 2015 toddrme2178AATTgmail.com
- Initial version