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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Filename Size Changed
python-xarray.changes 0000076518 74.7 KB
python-xarray.spec 0000002754 2.69 KB
xarray-0.15.0.tar.gz 0001911362 1.82 MB
Revision 31 (latest revision is 102)
Sebastian Wagner's avatar Sebastian Wagner (sebix) committed (revision 31)
- update to version 0.15.0:
 - This release brings many improvements to xarray's documentation: our examples are now binderized notebooks (`click here <https://mybinder.org/v2/gh/pydata/xarray/master?urlpath=lab/tree/doc/examples/weather-data.ipynb>`_):
 - and we have new example notebooks from our SciPy 2019 sprint (many thanks to our contributors!).:
 - This release also features many API improvements such as a new:
:py:class:`~core.accessor_dt.TimedeltaAccessor` and support for :py:class:`CFTimeIndex` in
:py:meth:`~DataArray.interpolate_na`); as well as many bug fixes.
 - Breaking changes:
  - Bumped minimum tested versions for dependencies:
    - numpy 1.15
    - pandas 0.25
    - dask 2.2
    - distributed 2.2
    - scipy 1.3
  - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which
    have been deprecated since 0.12. (:pull:`3650`).
    Instead, specify the ``encoding`` kwarg when writing to disk or set
    the :py:attr:`DataArray.encoding` attribute directly.
    By `Maximilian Roos <https://github.com/max-sixty>`_.
  - :py:func:`xarray.dot`, :py:meth:`DataArray.dot`, and the ``@`` operator now
    use ``align="inner"`` (except when ``xarray.set_options(arithmetic_join="exact")``;
    :issue:`3694`) by `Mathias Hauser <https://github.com/mathause>`_.
 - New Features:
  - :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`)
    By `Keisuke Fujii <https://github.com/fujiisoup>`_.
  - Support using an existing, opened h5netcdf ``File`` with
    :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an
    :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened
    using other means (:issue:`3618`).
    By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_.
  - Implement ``median`` and ``nanmedian`` for dask arrays. This works by rechunking
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