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 |
|---|---|---|
| _link | 0000000148 148 Bytes | |
| python-xarray.changes | 0000050616 49.4 KB | |
| python-xarray.spec | 0000002605 2.54 KB | |
| xarray-0.12.3.tar.gz | 0001793550 1.71 MB |
Revision 21 (latest revision is 102)
Sebastian Wagner (sebix)
committed
(revision 21)
- update to version 0.12.3:
- New functions/methods:
- New methods :py:meth:`Dataset.to_stacked_array` and
:py:meth:`DataArray.to_unstacked_dataset` for reshaping Datasets of variables
with different dimensions
(:issue:`1317`).
This is useful for feeding data from xarray into machine learning models,
as described in :ref:`reshape.stacking_different`.
- Enhancements:
- Support for renaming ``Dataset`` variables and dimensions independently
with :py:meth:`~Dataset.rename_vars` and :py:meth:`~Dataset.rename_dims`
(:issue:`3026`).
- Add ``scales``, ``offsets``, ``units`` and ``descriptions``
attributes to :py:class:`~xarray.DataArray` returned by
:py:func:`~xarray.open_rasterio`. (:issue:`3013`)
- Bug fixes:
- Resolved deprecation warnings from newer versions of matplotlib and dask.
- Compatibility fixes for the upcoming pandas 0.25 and NumPy 1.17 releases.
- Fix summaries for multiindex coordinates (:issue:`3079`).
- Fix HDF5 error that could arise when reading multiple groups from a file at
once (:issue:`2954`).
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