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 | 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 (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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