N-D labeled arrays and datasets in Python
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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Filename | Size | Changed |
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_link | 0000000148 148 Bytes | |
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 (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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