BSD Ports

math/py-xarray 2026.7.0 NetBSD

N-D labeled arrays and datasets in Python

System
NetBSD
Repository
pkgsrc
Maintainer
[email protected]
Last update
Commit
216457601e
License
apache-2.0
Categories
math, python
Package size
2863.4 KiB, 23406.7 KiB installed

Description

xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures.

In the other systems

SystemPortVersion
NetBSDmath/py-xarray2026.7.0
FreeBSDdevel/py-xarray2026.7.0

Install

Binary package:

pkgin install py312-xarray

From pkgsrc:

cd /usr/pkgsrc/math/py-xarray && make install clean

Dependencies

Run dependencies 4

Configuration

No options to configure.

Service scripts
none
Flavors
py313-xarray-2026.7.0, py314-xarray-2026.7.0

Commit history 4

DateCommitCreditsLog message
216457601e adam py-xarray: updated to 2026.9.0
2026.9.0 This release adds read support for Zarr V3 rectilinear (variable-sized) chunks, Arrow PyCapsule export for :py:class:DataArray, a new :py:meth:DataArray.plot.lines plotting method, :py:class:DataTree support in :py:func:apply_ufunc, and flox-accelerated groupby medians. Bottleneck is now disabled by default, the remaining zarr-python 2 compatibility code has been removed, and the minimum h5netcdf version is now 1.8. It also includes many bug fixes. This is the last xarray release that will support Python 3.11. Future releases will require Python 3.12 or later.
65c9b1c391 adam Forget Python 3.10
b650a403fc adam Remove scm info from PLIST - fixed in latest setuptools_scm
e6eb725803 adam py-xarray: updated to 2026.7.0
v2026.07.0 (Jul 9, 2026) This release adds support for Dask's query-optimizing expression arrays, along with new ``day_of_week`` and ``day_of_year`` datetime accessor attributes. It also includes a number of bug fixes, notably for a performance regression in :py:meth:`Coordinates.to_index`, Zarr ``fill_value`` round-tripping, and excessive memory use in ``drop_encoding``. New Features - Added support for Dask's `query-optimizing expression arrays <https://github.com/mrocklin/dask-array>`_. Xarray now implements the ``__dask_exprs__`` protocol so that Dask can identify and optimize xarray :py:class:`Variable` objects without materializing their graphs, together with a chunk manager and :py:meth:`~xarray.Dataset.map_blocks` support for …