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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Source Files
| Filename | Size | Changed |
|---|---|---|
| _link | 0000000148 148 Bytes | |
| _multibuild | 0000000053 53 Bytes | |
| local_dataset.patch | 0000000764 764 Bytes | |
| python-xarray.changes | 0000207623 203 KB | |
| python-xarray.spec | 0000007060 6.89 KB | |
| xarray-2024.2.0.tar.gz | 0003634288 3.47 MB |
Revision 90 (latest revision is 102)
Matej Cepl (mcepl)
accepted
request 1152304
from
Benjamin Greiner (bnavigator)
(revision 90)
- Update to 2024.2.0
* This release brings size information to the text repr, changes
to the accepted frequency strings, and various bug fixes.
## New Features
* Added a simple nbytes representation in DataArrays and Dataset
repr. (GH8690, PR8702). By Etienne Schalk.
* Allow negative frequency strings (e.g. "-1YE"). These strings
are for example used in date_range(), and cftime_range()
(PR8651). By Mathias Hauser.
* Add NamedArray.expand_dims(), NamedArray.permute_dims() and
NamedArray.broadcast_to() (PR8380) By Anderson Banihirwe.
* Xarray now defers to flox’s heuristics to set the default
method for groupby problems. This only applies to flox>=0.9. By
Deepak Cherian.
* All quantile methods (e.g. DataArray.quantile()) now use
numbagg for the calculation of nanquantiles (i.e., skipna=True)
if it is installed. This is currently limited to the linear
interpolation method (method=’linear’). (GH7377, PR8684) By
Marco Wolsza.
## Breaking changes
* infer_freq() always returns the frequency strings as defined in
pandas 2.2 (GH8612, PR8627). By Mathias Hauser.
* Deprecations
* The dt.weekday_name parameter wasn’t functional on modern
pandas versions and has been removed. (GH8610, PR8664) By Sam
Coleman.
## Bug fixes
* Fixed a regression that prevented multi-index level coordinates
being serialized after resetting or dropping the multi-index
(GH8628, PR8672). By Benoit Bovy.
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