N-D labeled arrays and datasets in Python

Edit Package python-xarray
http://github.com/pydata/xarray

xarray (formerly xray) is a python-pandas-like and pandas-compatible
toolkit for analytics on multi-dimensional arrays. It provides
N-dimensional variants of the python-pandas labeled data structures,
rather than the tabular data that pandas uses.

The Common Data Model for self-describing scientific data is used.
The dataset is an in-memory representation of a netCDF file.

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python-xarray.changes 0000049387 48.2 KB
python-xarray.spec 0000002571 2.51 KB
xarray-0.12.2.tar.gz 0001786475 1.7 MB
Revision 18 (latest revision is 102)
Sebastian Wagner's avatar Sebastian Wagner (sebix) committed (revision 18)
- update to version 0.12.2:
 - New functions/methods:
  - Two new functions, :py:func:`~xarray.combine_nested` and
    :py:func:`~xarray.combine_by_coords`, allow for combining datasets along any
    number of dimensions, instead of the one-dimensional list of datasets
    supported by :py:func:`~xarray.concat`.
    The new ``combine_nested`` will accept the datasets as a nested
    list-of-lists, and combine by applying a series of concat and merge
    operations. The new ``combine_by_coords`` instead uses the dimension
    coordinates of datasets to order them.
    :py:func:`~xarray.open_mfdataset` can use either ``combine_nested`` or
    ``combine_by_coords`` to combine datasets along multiple dimensions, by
    specifying the argument ``combine='nested'`` or ``combine='by_coords'``.
    The older function :py:func:`~xarray.auto_combine` has been deprecated,
    because its functionality has been subsumed by the new functions.
    To avoid FutureWarnings switch to using ``combine_nested`` or
    ``combine_by_coords``, (or set the ``combine`` argument in
    ``open_mfdataset``). (:issue:`2159`)
    By `Tom Nicholas <http://github.com/TomNicholas>`_.
  - :py:meth:`~xarray.DataArray.rolling_exp` and
    :py:meth:`~xarray.Dataset.rolling_exp` added, similar to pandas'
    ``pd.DataFrame.ewm`` method. Calling ``.mean`` on the resulting object
    will return an exponentially weighted moving average.
    By `Maximilian Roos <https://github.com/max-sixty>`_.
  - New :py:func:`DataArray.str <core.accessor_str.StringAccessor>` for string
    related manipulations, based on ``pandas.Series.str``.
    By `0x0L <https://github.com/0x0L>`_.
  - Added ``strftime`` method to ``.dt`` accessor, making it simpler to hand a
    datetime ``DataArray`` to other code expecting formatted dates and times.
    (:issue:`2090`). :py:meth:`~xarray.CFTimeIndex.strftime` is also now
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