Accepting request 617154 from devel:languages:python
- update to version 0.10.7:
* Enhancements:
* Plot labels now make use of metadata that follow CF conventions (:issue:`2135`). By Deepak Cherian and Ryan Abernathey.
* Line plots now support facetting with row and col arguments (:issue:`2107`). By Yohai Bar Sinai.
* :py:meth:`~xarray.DataArray.interp` and :py:meth:`~xarray.Dataset.interp` methods are newly added. See :ref:`interpolating values with interp` for the detail. (:issue:`2079`) By Keisuke Fujii.
* Bug fixes:
* Fixed a bug in rasterio backend which prevented use with distributed. The rasterio backend now returns pickleable objects (:issue:`2021`).
- update to version 0.10.6:
* Enhancements:
* New PseudoNetCDF backend for many Atmospheric data formats including GEOS-Chem, CAMx, NOAA arlpacked bit and many others. See :ref:`io.PseudoNetCDF` for more details. By Barron Henderson.
* The :py:class:`Dataset` constructor now aligns :py:class:`DataArray` arguments in data_vars to indexes set explicitly in coords, where previously an error would be raised. (:issue:`674`) By Maximilian Roos.
* :py:meth:`~DataArray.sel`, :py:meth:`~DataArray.isel` & :py:meth:`~DataArray.reindex`, (and their :py:class:`Dataset` counterparts) now support supplying a dict as a first argument, as an alternative to the existing approach of supplying kwargs. This allows for more robust behavior of dimension names which conflict with other keyword names, or are not strings. By Maximilian Roos.
* :py:meth:`~DataArray.rename` now supports supplying **kwargs, as an alternative to the existing approach of supplying a dict as the first argument. By Maximilian Roos.
* :py:meth:`~DataArray.cumsum` and :py:meth:`~DataArray.cumprod` now support aggregation over multiple dimensions at the same time. This is the default behavior when dimensions are not specified (previously this raised an error). By Stephan Hoyer
* :py:meth:`DataArray.dot` and :py:func:`dot` are partly supported with older dask<0.17.4. (related to :issue:`2203`) By Keisuke Fujii.
* Xarray now uses Versioneer to manage its version strings. (:issue:`1300`). By Joe Hamman.
* Bug fixes:
* Fixed a regression in 0.10.4, where explicitly specifying dtype='S1' or dtype=str in encoding with to_netcdf() raised an error (:issue:`2149`). Stephan Hoyer
* :py:func:`apply_ufunc` now directly validates output variables (:issue:`1931`). By Stephan Hoyer.
* Fixed a bug where to_netcdf(..., unlimited_dims='bar') yielded NetCDF files with spurious 0-length dimensions (i.e. b, a, and r) (:issue:`2134`). By Joe Hamman.
* Removed spurious warnings with Dataset.update(Dataset) (:issue:`2161`) and array.equals(array) when array contains NaT (:issue:`2162`). By Stephan Hoyer.
* Aggregations with :py:meth:`Dataset.reduce` (including mean, sum, etc) no longer drop unrelated coordinates (:issue:`1470`). Also fixed a bug where non-scalar data-variables that did not include the aggregation dimension were improperly skipped. By Stephan Hoyer
* Fix :meth:`~DataArray.stack` with non-unique coordinates on pandas 0.23 (:issue:`2160`). By Stephan Hoyer
* Selecting data indexed by a length-1 CFTimeIndex with a slice of strings now behaves as it does when using a length-1 DatetimeIndex (i.e. it no longer falsely returns an empty array when the slice includes the value in the index) (:issue:`2165`). By Spencer Clark.
* Fix DataArray.groupby().reduce() mutating coordinates on the input array when grouping over dimension coordinates with duplicated entries (:issue:`2153`). By Stephan Hoyer
* Fix Dataset.to_netcdf() cannot create group with engine="h5netcdf" (:issue:`2177`). By Stephan Hoyer
- update to version 0.10.4:
* Documentation
+ New FAQ entry, What other projects leverage xarray?. By Deepak
Cherian.
+ Assigning values with indexing now includes examples on how to
select and assign values to a DataArray with .loc. By Chiara
Lepore.
* Enhancements
+ Add an option for using a CFTimeIndex for indexing times with
non-standard calendars and/or outside the Timestamp-valid range;
this index enables a subset of the functionality of a standard
pandas.DatetimeIndex. See Non-standard calendars and dates
outside the Timestamp-valid range for full details. (GH789,
GH1084, GH1252) By Spencer Clark with help from Stephan Hoyer.
+ Allow for serialization of cftime.datetime objects (GH789,
GH1084, GH2008, GH1252) using the standalone cftime library. By
Spencer Clark.
+ Support writing lists of strings as netCDF attributes
(GH2044). By Dan Nowacki.
+ to_netcdf() with engine='h5netcdf' now accepts h5py encoding
settings compression and compression_opts, along with the
NetCDF4-Python style settings gzip=True and complevel. This
allows using any compression plugin installed in hdf5, e.g. LZF
(GH1536). By Guido Imperiale.
+ dot() on dask-backed data will now call
dask.array.einsum(). This greatly boosts speed and allows
chunking on the core dims. The function now requires dask >=
0.17.3 to work on dask-backed data (GH2074). By Guido Imperiale.
+ plot.line() learned new kwargs: xincrease, yincrease that change
the direction of the respective axes. By Deepak Cherian.
+ Added the parallel option to open_mfdataset(). This option uses
dask.delayed to parallelize the open and preprocessing steps
within open_mfdataset. This is expected to provide performance
improvements when opening many files, particularly when used in
conjunction with dask’s multiprocessing or distributed
schedulers (GH1981). By Joe Hamman.
+ New compute option in to_netcdf(), to_zarr(), and
save_mfdataset() to allow for the lazy computation of netCDF and
zarr stores. This feature is currently only supported by the
netCDF4 and zarr backends. (GH1784). By Joe Hamman.
* Bug fixes
+ ValueError is raised when coordinates with the wrong size are
assigned to a DataArray. (GH2112) By Keisuke Fujii.
+ Fixed a bug in rolling() with bottleneck. Also, fixed a bug in
rolling an integer dask array. (GH2113) By Keisuke Fujii.
+ Fixed a bug where keep_attrs=True flag was neglected if
apply_ufunc() was used with Variable. (GH2114) By Keisuke Fujii.
+ When assigning a DataArray to Dataset, any conflicted
non-dimensional coordinates of the DataArray are now
dropped. (GH2068) By Keisuke Fujii.
+ Better error handling in open_mfdataset (GH2077). By Stephan
Hoyer.
+ plot.line() does not call autofmt_xdate() anymore. Instead it
changes the rotation and horizontal alignment of labels without
removing the x-axes of any other subplots in the figure (if
any). By Deepak Cherian.
+ Colorbar limits are now determined by excluding ±Infs too. By
Deepak Cherian.
+ Fixed to_iris to maintain lazy dask array after conversion
(GH2046). By Alex Hilson and Stephan Hoyer.
- changes from version 0.10.3:
* Enhancements
+ isin() and isin() methods, which test each value in the array
for whether it is contained in the supplied list, returning a
bool array. See Selecting values with isin for full
details. Similar to the np.isin function. By Maximilian Roos.
+ Some speed improvement to construct DataArrayRolling object
(GH1993) By Keisuke Fujii.
+ Handle variables with different values for missing_value and
_FillValue by masking values for both attributes; previously
this resulted in a ValueError. (GH2016) By Ryan May.
* Bug fixes
+ Fixed decode_cf function to operate lazily on dask arrays
(GH1372). By Ryan Abernathey.
+ Fixed labeled indexing with slice bounds given by xarray objects
with datetime64 or timedelta64 dtypes (GH1240). By Stephan
Hoyer.
+ Attempting to convert an xarray.Dataset into a numpy array now
raises an informative error message. By Stephan Hoyer.
+ Fixed a bug in decode_cf_datetime where int32 arrays weren’t
parsed correctly (GH2002). By Fabien Maussion.
+ When calling xr.auto_combine() or xr.open_mfdataset() with a
concat_dim, the resulting dataset will have that one-element
dimension (it was silently dropped, previously) (GH1988). By Ben
Root.
- temporarily deactivated tests because of minor issues with netCDF library
see https://github.com/pydata/xarray/issues/2050
- update to version 0.10.3:
* Enhancements
- :py:meth:`~xarray.DataArray.isin` and :py:meth:`~xarray.Dataset.isin` methods,
which test each value in the array for whether it is contained in the
supplied list, returning a bool array. See :ref:`selecting values with isin`
for full details. Similar to the ``np.isin`` function.
By `Maximilian Roos <https://github.com/maxim-lian>`_.
- Some speed improvement to construct :py:class:`~xarray.DataArrayRolling`
object (:issue:`1993`)
By `Keisuke Fujii <https://github.com/fujiisoup>`_.
- Handle variables with different values for ``missing_value`` and
``_FillValue`` by masking values for both attributes; previously this
resulted in a ``ValueError``. (:issue:`2016`)
By `Ryan May <https://github.com/dopplershift>`_.
* Bug fixes
- Fixed ``decode_cf`` function to operate lazily on dask arrays
(:issue:`1372`). By `Ryan Abernathey <https://github.com/rabernat>`_.
- Fixed labeled indexing with slice bounds given by xarray objects with
datetime64 or timedelta64 dtypes (:issue:`1240`).
By `Stephan Hoyer <https://github.com/shoyer>`_.
- Attempting to convert an xarray.Dataset into a numpy array now raises an
informative error message.
By `Stephan Hoyer <https://github.com/shoyer>`_.
- Fixed a bug in decode_cf_datetime where ``int32`` arrays weren't parsed
correctly (:issue:`2002`).
By `Fabien Maussion <https://github.com/fmaussion>`_.
- When calling `xr.auto_combine()` or `xr.open_mfdataset()` with a `concat_dim`,
the resulting dataset will have that one-element dimension (it was
silently dropped, previously) (:issue:`1988`).
By `Ben Root <https://github.com/WeatherGod>`_.
- update to version 0.10.2:
* Backwards incompatible changes
+ The addition of __array_ufunc__ for xarray objects (see below)
means that NumPy ufunc methods (e.g., np.add.reduce) that
previously worked on xarray.DataArray objects by converting them
into NumPy arrays will now raise NotImplementedError instead. In
all cases, the work-around is simple: convert your objects
explicitly into NumPy arrays before calling the ufunc (e.g.,
with .values).
* Enhancements
+ Added dot(), equivalent to np.einsum(). Also, dot() now supports
dims option, which specifies the dimensions to sum
over. (GH1951) By Keisuke Fujii.
+ Support for writing xarray datasets to netCDF files (netcdf4
backend only) when using the dask.distributed scheduler
(GH1464). By Joe Hamman.
+ Support lazy vectorized-indexing. After this change, flexible
indexing such as orthogonal/vectorized indexing, becomes
possible for all the backend arrays. Also, lazy transpose is now
also supported. (GH1897) By Keisuke Fujii.
+ Implemented NumPy’s __array_ufunc__ protocol for all xarray
objects (GH1617). This enables using NumPy ufuncs directly on
xarray.Dataset objects with recent versions of NumPy (v1.13 and
newer):
In [1]: ds = xr.Dataset({'a': 1})
In [2]: np.sin(ds)
Out[2]:
<xarray.Dataset>
Dimensions: ()
Data variables:
a float64 0.8415
This obliviates the need for the xarray.ufuncs module, which
will be deprecated in the future when xarray drops support for
older versions of NumPy. By Stephan Hoyer.
+ Improve rolling() logic. DataArrayRolling() object now supports
construct() method that returns a view of the DataArray /
Dataset object with the rolling-window dimension added to the
last axis. This enables more flexible operation, such as strided
rolling, windowed rolling, ND-rolling, short-time FFT and
convolution. (GH1831, GH1142, GH819) By Keisuke Fujii.
+ line() learned to make plots with data on x-axis if so
specified. (GH575) By Deepak Cherian.
* Bug fixes
+ Raise an informative error message when using apply_ufunc with
numpy v1.11 (GH1956). By Stephan Hoyer.
+ Fix the precision drop after indexing datetime64 arrays
(GH1932). By Keisuke Fujii.
+ Silenced irrelevant warnings issued by open_rasterio
(GH1964). By Stephan Hoyer.
+ Fix kwarg colors clashing with auto-inferred cmap (GH1461) By
Deepak Cherian.
+ Fix imshow() error when passed an RGB array with size one in a
spatial dimension. By Zac Hatfield-Dodds.
- Replace future goals and aims by present capabilities.
- update to version 0.10.1:
* please see upstream changelog at: https://github.com/pydata/xarray/blob/v0.10.1/doc/whats-new.rst
- remove check boundary condition
- run spec-cleaner
- use %license for license
- Implement single-spec version
- Update to 0.9.6
* Please see changelog at:
https://github.com/pydata/xarray/blob/v0.9.6/doc/whats-new.rst
- Rename package to python3-xray to match upstream naming.
- update to version 0.7.0:
* The project formerly known as "xray" is now "xarray", pronounced "x-array"!
This avoids a namespace conflict with the entire field of x-ray science. Renaming
our project seemed like the right thing to do, especially because some
scientists who work with actual x-rays are interested in using this project in
their work. Thanks for your understanding and patience in this transition.
* Breaking changes
- The internal data model used by :py:class:`~xray.DataArray` has been
rewritten to fix several outstanding issues. Internally, ``DataArray``
is now implemented in terms of ``._variable`` and ``._coords``
attributes instead of holding variables in a ``Dataset`` object.
- It is no longer possible to convert a DataArray to a Dataset with
:py:meth:`xray.DataArray.to_dataset` if it is unnamed. This will now
raise ``ValueError``. If the array is unnamed, you need to supply the
``name`` argument.
* Enhancements
- Basic support for :py:class:`~pandas.MultiIndex` coordinates on xray objects, including
indexing, :py:meth:`~DataArray.stack` and :py:meth:`~DataArray.unstack`:
- Support for reading GRIB, HDF4 and other file formats via PyNIO_. See
:ref:`io.pynio` for more details.
- Better error message when a variable is supplied with the same name as
one of its dimensions.
- Plotting: more control on colormap parameters (:issue:`642`). ``vmin`` and
``vmax`` will not be silently ignored anymore. Setting ``center=False``
prevents automatic selection of a divergent colormap.
- New :py:meth:`~xray.Dataset.shift` and :py:meth:`~xray.Dataset.roll` methods
for shifting/rotating datasets or arrays along a dimension
- Assigning a ``pandas`` object directly as a ``Dataset`` variable is now permitted. Its
index names correspond to the ``dims`` of the ``Dataset``, and its data is aligned.
- Passing a :py:class:`pandas.DataFrame` or :py:class:`pandas.Panel` to a Dataset constructor
is now permitted.
- New function :py:func:`~xray.broadcast` for explicitly broadcasting
``DataArray`` and ``Dataset`` objects against each other.
* Bug fixes
- Fixes for several issues found on ``DataArray`` objects with the same name
as one of their coordinates (see :ref:`v0.7.0.breaking` for more details).
- ``DataArray.to_masked_array`` always returns masked array with mask being an
array (not a scalar value) (:issue:`684`)
- Allows for (imperfect) repr of Coords when underlying index is PeriodIndex (:issue:`645`).
- Fixes for several issues found on ``DataArray`` objects with the same name
as one of their coordinates (see :ref:`v0.7.0.breaking` for more details).
- Attempting to assign a ``Dataset`` or ``DataArray`` variable/attribute using
attribute-style syntax (e.g., ``ds.foo = 42``) now raises an error rather
than silently failing (:issue:`656`, :issue:`714`).
- You can now pass pandas objects with non-numpy dtypes (e.g., ``categorical``
or ``datetime64`` with a timezone) into xray without an error
(:issue:`716`).
- update to version 0.6.1:
* The handling of colormaps and discrete color lists for 2D plots in
:py:meth:`~xray.DataArray.plot` was changed to provide more
compatibility with matplotlib's contour and contourf functions
(:issue:`538`). Now discrete lists of colors should be specified
using colors keyword, rather than cmap.
* Faceted plotting through :py:class:`~xray.plot.FacetGrid` and the
:py:meth:`~xray.plot.plot` method. See :ref:`plotting.faceting`
for more details and examples.
* :py:meth:`~xray.Dataset.sel` and :py:meth:`~xray.Dataset.reindex`
now support the tolerance argument for controlling
nearest-neighbor selection (:issue:`629`):
This feature requires pandas v0.17 or newer.
* New encoding argument in :py:meth:`~xray.Dataset.to_netcdf` for
writing netCDF files with compression, as described in the new
documentation section on :ref:`io.netcdf.writing_encoded`.
* Add :py:attr:`~xray.Dataset.real` and
:py:attr:`~xray.Dataset.imag` attributes to Dataset and DataArray
(:issue:`553`).
* More informative error message with
:py:meth:`~xray.Dataset.from_dataframe` if the frame has duplicate
columns.
* xray now uses deterministic names for dask arrays it creates or
opens from disk. This allows xray users to take advantage of
dask's nascent support for caching intermediate computation
results. See :issue:`555` for an example.
* Forwards compatibility with the latest pandas release
(v0.17.0). We were using some internal pandas routines for
datetime conversion, which unfortunately have now changed upstream
(:issue:`569`).
* Aggregation functions now correctly skip NaN for data for
complex128 dtype (:issue:`554`).
* Fixed indexing 0d arrays with unicode dtype (:issue:`568`).
* :py:meth:`~xray.DataArray.name` and Dataset keys must be a string
or None to be written to netCDF (:issue:`533`).
* :py:meth:`~xray.DataArray.where` now uses dask instead of numpy if
either the array or other is a dask array. Previously, if other
was a numpy array the method was evaluated eagerly.
* Global attributes are now handled more consistently when loading
remote datasets using engine='pydap' (:issue:`574`).
* It is now possible to assign to the .data attribute of DataArray
objects.
* coordinates attribute is now kept in the encoding dictionary after
decoding (:issue:`610`).
* Compatibility with numpy 1.10 (:issue:`617
- update to version 0.6.0:
* Plotting methods have been implemented on DataArray objects
:py:meth:`~xray.DataArray.plot` through integration with matplotlib
(:issue:`185`). For an introduction, see :ref:`plotting`.
* Variables in netCDF files with multiple missing values are now decoded as
NaN after issuing a warning if open_dataset is called with
mask_and_scale=True.
* We clarified our rules for when the result from an xray operation is a copy
vs. a view (see :ref:`copies vs views` for more details).
* Dataset variables are now written to netCDF files in order of appearance
when using the netcdf4 backend (:issue:`479`).
* Added :py:meth:`~xray.Dataset.isel_points` and
:py:meth:`~xray.Dataset.sel_points` to support pointwise indexing of
Datasets and DataArrays (:issue:`475`).
* New :py:meth:`~xray.Dataset.where` method for masking xray objects
according to some criteria. This works particularly well with
multi-dimensional data:
* Added new methods :py:meth:`DataArray.diff <xray.DataArray.diff>` and
:py:meth:`Dataset.diff <xray.Dataset.diff>` for finite difference
calculations along a given axis.
* New :py:meth:`~xray.DataArray.to_masked_array` convenience method for
returning a numpy.ma.MaskedArray.
* Added new flag "drop_variables" to :py:meth:`~xray.open_dataset` for
excluding variables from being parsed. This may be useful to drop variables
with problems or inconsistent values.
* Fixed aggregation functions (e.g., sum and mean) on big-endian arrays when
bottleneck is installed (:issue:`489`).
* Dataset aggregation functions dropped variables with unsigned integer dtype
(:issue:`505`).
* .any() and .all() were not lazy when used on xray objects containing dask
arrays.
* Fixed an error when attempting to saving datetime64 variables to netCDF
files when the first element is NaT (:issue:`528`).
* Fix pickle on DataArray objects (:issue:`515`).
* Fixed unnecessary coercion of float64 to float32 when using netcdf3 and
netcdf4_classic formats (:issue:`526`).
- Initial version
OBS-URL: https://build.opensuse.org/request/show/617154
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-xarray?expand=0&rev=3
2018-06-29 22:27:12 +02:00
-------------------------------------------------------------------
Sun Jun 10 20:04:48 UTC 2018 - sebix+novell.com@sebix.at
- update to version 0.10.7:
* Enhancements:
* Plot labels now make use of metadata that follow CF conventions (:issue:`2135`). By Deepak Cherian and Ryan Abernathey.
* Line plots now support facetting with row and col arguments (:issue:`2107`). By Yohai Bar Sinai.
* :py:meth:`~xarray.DataArray.interp` and :py:meth:`~xarray.Dataset.interp` methods are newly added. See :ref:`interpolating values with interp` for the detail. (:issue:`2079`) By Keisuke Fujii.
* Bug fixes:
* Fixed a bug in rasterio backend which prevented use with distributed. The rasterio backend now returns pickleable objects (:issue:`2021`).
- update to version 0.10.6:
* Enhancements:
* New PseudoNetCDF backend for many Atmospheric data formats including GEOS-Chem, CAMx, NOAA arlpacked bit and many others. See :ref:`io.PseudoNetCDF` for more details. By Barron Henderson.
* The :py:class:`Dataset` constructor now aligns :py:class:`DataArray` arguments in data_vars to indexes set explicitly in coords, where previously an error would be raised. (:issue:`674`) By Maximilian Roos.
* :py:meth:`~DataArray.sel`, :py:meth:`~DataArray.isel` & :py:meth:`~DataArray.reindex`, (and their :py:class:`Dataset` counterparts) now support supplying a dict as a first argument, as an alternative to the existing approach of supplying kwargs. This allows for more robust behavior of dimension names which conflict with other keyword names, or are not strings. By Maximilian Roos.
* :py:meth:`~DataArray.rename` now supports supplying **kwargs, as an alternative to the existing approach of supplying a dict as the first argument. By Maximilian Roos.
* :py:meth:`~DataArray.cumsum` and :py:meth:`~DataArray.cumprod` now support aggregation over multiple dimensions at the same time. This is the default behavior when dimensions are not specified (previously this raised an error). By Stephan Hoyer
* :py:meth:`DataArray.dot` and :py:func:`dot` are partly supported with older dask<0.17.4. (related to :issue:`2203`) By Keisuke Fujii.
* Xarray now uses Versioneer to manage its version strings. (:issue:`1300`). By Joe Hamman.
* Bug fixes:
* Fixed a regression in 0.10.4, where explicitly specifying dtype='S1' or dtype=str in encoding with to_netcdf() raised an error (:issue:`2149`). Stephan Hoyer
* :py:func:`apply_ufunc` now directly validates output variables (:issue:`1931`). By Stephan Hoyer.
* Fixed a bug where to_netcdf(..., unlimited_dims='bar') yielded NetCDF files with spurious 0-length dimensions (i.e. b, a, and r) (:issue:`2134`). By Joe Hamman.
* Removed spurious warnings with Dataset.update(Dataset) (:issue:`2161`) and array.equals(array) when array contains NaT (:issue:`2162`). By Stephan Hoyer.
* Aggregations with :py:meth:`Dataset.reduce` (including mean, sum, etc) no longer drop unrelated coordinates (:issue:`1470`). Also fixed a bug where non-scalar data-variables that did not include the aggregation dimension were improperly skipped. By Stephan Hoyer
* Fix :meth:`~DataArray.stack` with non-unique coordinates on pandas 0.23 (:issue:`2160`). By Stephan Hoyer
* Selecting data indexed by a length-1 CFTimeIndex with a slice of strings now behaves as it does when using a length-1 DatetimeIndex (i.e. it no longer falsely returns an empty array when the slice includes the value in the index) (:issue:`2165`). By Spencer Clark.
* Fix DataArray.groupby().reduce() mutating coordinates on the input array when grouping over dimension coordinates with duplicated entries (:issue:`2153`). By Stephan Hoyer
* Fix Dataset.to_netcdf() cannot create group with engine="h5netcdf" (:issue:`2177`). By Stephan Hoyer
2018-05-29 10:34:57 +02:00
-------------------------------------------------------------------
Mon May 21 04:03:17 UTC 2018 - arun@gmx.de
- update to version 0.10.4:
* Documentation
+ New FAQ entry, What other projects leverage xarray?. By Deepak
Cherian.
+ Assigning values with indexing now includes examples on how to
select and assign values to a DataArray with .loc. By Chiara
Lepore.
* Enhancements
+ Add an option for using a CFTimeIndex for indexing times with
non-standard calendars and/or outside the Timestamp-valid range;
this index enables a subset of the functionality of a standard
pandas.DatetimeIndex. See Non-standard calendars and dates
outside the Timestamp-valid range for full details. (GH789,
GH1084, GH1252) By Spencer Clark with help from Stephan Hoyer.
+ Allow for serialization of cftime.datetime objects (GH789,
GH1084, GH2008, GH1252) using the standalone cftime library. By
Spencer Clark.
+ Support writing lists of strings as netCDF attributes
(GH2044). By Dan Nowacki.
+ to_netcdf() with engine='h5netcdf' now accepts h5py encoding
settings compression and compression_opts, along with the
NetCDF4-Python style settings gzip=True and complevel. This
allows using any compression plugin installed in hdf5, e.g. LZF
(GH1536). By Guido Imperiale.
+ dot() on dask-backed data will now call
dask.array.einsum(). This greatly boosts speed and allows
chunking on the core dims. The function now requires dask >=
0.17.3 to work on dask-backed data (GH2074). By Guido Imperiale.
+ plot.line() learned new kwargs: xincrease, yincrease that change
the direction of the respective axes. By Deepak Cherian.
+ Added the parallel option to open_mfdataset(). This option uses
dask.delayed to parallelize the open and preprocessing steps
within open_mfdataset. This is expected to provide performance
improvements when opening many files, particularly when used in
conjunction with dask’
schedulers (GH1981). By Joe Hamman.
+ New compute option in to_netcdf(), to_zarr(), and
save_mfdataset() to allow for the lazy computation of netCDF and
zarr stores. This feature is currently only supported by the
netCDF4 and zarr backends. (GH1784). By Joe Hamman.
* Bug fixes
+ ValueError is raised when coordinates with the wrong size are
assigned to a DataArray. (GH2112) By Keisuke Fujii.
+ Fixed a bug in rolling() with bottleneck. Also, fixed a bug in
rolling an integer dask array. (GH2113) By Keisuke Fujii.
+ Fixed a bug where keep_attrs=True flag was neglected if
apply_ufunc() was used with Variable. (GH2114) By Keisuke Fujii.
+ When assigning a DataArray to Dataset, any conflicted
non-dimensional coordinates of the DataArray are now
dropped. (GH2068) By Keisuke Fujii.
+ Better error handling in open_mfdataset (GH2077). By Stephan
Hoyer.
+ plot.line() does not call autofmt_xdate() anymore. Instead it
changes the rotation and horizontal alignment of labels without
removing the x-axes of any other subplots in the figure (if
any). By Deepak Cherian.
+ Colorbar limits are now determined by excluding ±Infs too. By
Deepak Cherian.
+ Fixed to_iris to maintain lazy dask array after conversion
(GH2046). By Alex Hilson and Stephan Hoyer.
- changes from version 0.10.3:
* Enhancements
+ isin() and isin() methods, which test each value in the array
for whether it is contained in the supplied list, returning a
bool array. See Selecting values with isin for full
details. Similar to the np.isin function. By Maximilian Roos.
+ Some speed improvement to construct DataArrayRolling object
(GH1993) By Keisuke Fujii.
+ Handle variables with different values for missing_value and
_FillValue by masking values for both attributes; previously
this resulted in a ValueError. (GH2016) By Ryan May.
* Bug fixes
+ Fixed decode_cf function to operate lazily on dask arrays
(GH1372). By Ryan Abernathey.
+ Fixed labeled indexing with slice bounds given by xarray objects
with datetime64 or timedelta64 dtypes (GH1240). By Stephan
Hoyer.
+ Attempting to convert an xarray.Dataset into a numpy array now
raises an informative error message. By Stephan Hoyer.
+ Fixed a bug in decode_cf_datetime where int32 arrays weren’
parsed correctly (GH2002). By Fabien Maussion.
+ When calling xr.auto_combine() or xr.open_mfdataset() with a
concat_dim, the resulting dataset will have that one-element
dimension (it was silently dropped, previously) (GH1988). By Ben
Root.
2018-04-24 15:31:25 +02:00
-------------------------------------------------------------------
Sat Apr 14 12:41:49 UTC 2018 - sebix+novell.com@sebix.at
- temporarily deactivated tests because of minor issues with netCDF library
see https://github.com/pydata/xarray/issues/2050
Accepting request 617154 from devel:languages:python
- update to version 0.10.7:
* Enhancements:
* Plot labels now make use of metadata that follow CF conventions (:issue:`2135`). By Deepak Cherian and Ryan Abernathey.
* Line plots now support facetting with row and col arguments (:issue:`2107`). By Yohai Bar Sinai.
* :py:meth:`~xarray.DataArray.interp` and :py:meth:`~xarray.Dataset.interp` methods are newly added. See :ref:`interpolating values with interp` for the detail. (:issue:`2079`) By Keisuke Fujii.
* Bug fixes:
* Fixed a bug in rasterio backend which prevented use with distributed. The rasterio backend now returns pickleable objects (:issue:`2021`).
- update to version 0.10.6:
* Enhancements:
* New PseudoNetCDF backend for many Atmospheric data formats including GEOS-Chem, CAMx, NOAA arlpacked bit and many others. See :ref:`io.PseudoNetCDF` for more details. By Barron Henderson.
* The :py:class:`Dataset` constructor now aligns :py:class:`DataArray` arguments in data_vars to indexes set explicitly in coords, where previously an error would be raised. (:issue:`674`) By Maximilian Roos.
* :py:meth:`~DataArray.sel`, :py:meth:`~DataArray.isel` & :py:meth:`~DataArray.reindex`, (and their :py:class:`Dataset` counterparts) now support supplying a dict as a first argument, as an alternative to the existing approach of supplying kwargs. This allows for more robust behavior of dimension names which conflict with other keyword names, or are not strings. By Maximilian Roos.
* :py:meth:`~DataArray.rename` now supports supplying **kwargs, as an alternative to the existing approach of supplying a dict as the first argument. By Maximilian Roos.
* :py:meth:`~DataArray.cumsum` and :py:meth:`~DataArray.cumprod` now support aggregation over multiple dimensions at the same time. This is the default behavior when dimensions are not specified (previously this raised an error). By Stephan Hoyer
* :py:meth:`DataArray.dot` and :py:func:`dot` are partly supported with older dask<0.17.4. (related to :issue:`2203`) By Keisuke Fujii.
* Xarray now uses Versioneer to manage its version strings. (:issue:`1300`). By Joe Hamman.
* Bug fixes:
* Fixed a regression in 0.10.4, where explicitly specifying dtype='S1' or dtype=str in encoding with to_netcdf() raised an error (:issue:`2149`). Stephan Hoyer
* :py:func:`apply_ufunc` now directly validates output variables (:issue:`1931`). By Stephan Hoyer.
* Fixed a bug where to_netcdf(..., unlimited_dims='bar') yielded NetCDF files with spurious 0-length dimensions (i.e. b, a, and r) (:issue:`2134`). By Joe Hamman.
* Removed spurious warnings with Dataset.update(Dataset) (:issue:`2161`) and array.equals(array) when array contains NaT (:issue:`2162`). By Stephan Hoyer.
* Aggregations with :py:meth:`Dataset.reduce` (including mean, sum, etc) no longer drop unrelated coordinates (:issue:`1470`). Also fixed a bug where non-scalar data-variables that did not include the aggregation dimension were improperly skipped. By Stephan Hoyer
* Fix :meth:`~DataArray.stack` with non-unique coordinates on pandas 0.23 (:issue:`2160`). By Stephan Hoyer
* Selecting data indexed by a length-1 CFTimeIndex with a slice of strings now behaves as it does when using a length-1 DatetimeIndex (i.e. it no longer falsely returns an empty array when the slice includes the value in the index) (:issue:`2165`). By Spencer Clark.
* Fix DataArray.groupby().reduce() mutating coordinates on the input array when grouping over dimension coordinates with duplicated entries (:issue:`2153`). By Stephan Hoyer
* Fix Dataset.to_netcdf() cannot create group with engine="h5netcdf" (:issue:`2177`). By Stephan Hoyer
- update to version 0.10.4:
* Documentation
+ New FAQ entry, What other projects leverage xarray?. By Deepak
Cherian.
+ Assigning values with indexing now includes examples on how to
select and assign values to a DataArray with .loc. By Chiara
Lepore.
* Enhancements
+ Add an option for using a CFTimeIndex for indexing times with
non-standard calendars and/or outside the Timestamp-valid range;
this index enables a subset of the functionality of a standard
pandas.DatetimeIndex. See Non-standard calendars and dates
outside the Timestamp-valid range for full details. (GH789,
GH1084, GH1252) By Spencer Clark with help from Stephan Hoyer.
+ Allow for serialization of cftime.datetime objects (GH789,
GH1084, GH2008, GH1252) using the standalone cftime library. By
Spencer Clark.
+ Support writing lists of strings as netCDF attributes
(GH2044). By Dan Nowacki.
+ to_netcdf() with engine='h5netcdf' now accepts h5py encoding
settings compression and compression_opts, along with the
NetCDF4-Python style settings gzip=True and complevel. This
allows using any compression plugin installed in hdf5, e.g. LZF
(GH1536). By Guido Imperiale.
+ dot() on dask-backed data will now call
dask.array.einsum(). This greatly boosts speed and allows
chunking on the core dims. The function now requires dask >=
0.17.3 to work on dask-backed data (GH2074). By Guido Imperiale.
+ plot.line() learned new kwargs: xincrease, yincrease that change
the direction of the respective axes. By Deepak Cherian.
+ Added the parallel option to open_mfdataset(). This option uses
dask.delayed to parallelize the open and preprocessing steps
within open_mfdataset. This is expected to provide performance
improvements when opening many files, particularly when used in
conjunction with dask’s multiprocessing or distributed
schedulers (GH1981). By Joe Hamman.
+ New compute option in to_netcdf(), to_zarr(), and
save_mfdataset() to allow for the lazy computation of netCDF and
zarr stores. This feature is currently only supported by the
netCDF4 and zarr backends. (GH1784). By Joe Hamman.
* Bug fixes
+ ValueError is raised when coordinates with the wrong size are
assigned to a DataArray. (GH2112) By Keisuke Fujii.
+ Fixed a bug in rolling() with bottleneck. Also, fixed a bug in
rolling an integer dask array. (GH2113) By Keisuke Fujii.
+ Fixed a bug where keep_attrs=True flag was neglected if
apply_ufunc() was used with Variable. (GH2114) By Keisuke Fujii.
+ When assigning a DataArray to Dataset, any conflicted
non-dimensional coordinates of the DataArray are now
dropped. (GH2068) By Keisuke Fujii.
+ Better error handling in open_mfdataset (GH2077). By Stephan
Hoyer.
+ plot.line() does not call autofmt_xdate() anymore. Instead it
changes the rotation and horizontal alignment of labels without
removing the x-axes of any other subplots in the figure (if
any). By Deepak Cherian.
+ Colorbar limits are now determined by excluding ±Infs too. By
Deepak Cherian.
+ Fixed to_iris to maintain lazy dask array after conversion
(GH2046). By Alex Hilson and Stephan Hoyer.
- changes from version 0.10.3:
* Enhancements
+ isin() and isin() methods, which test each value in the array
for whether it is contained in the supplied list, returning a
bool array. See Selecting values with isin for full
details. Similar to the np.isin function. By Maximilian Roos.
+ Some speed improvement to construct DataArrayRolling object
(GH1993) By Keisuke Fujii.
+ Handle variables with different values for missing_value and
_FillValue by masking values for both attributes; previously
this resulted in a ValueError. (GH2016) By Ryan May.
* Bug fixes
+ Fixed decode_cf function to operate lazily on dask arrays
(GH1372). By Ryan Abernathey.
+ Fixed labeled indexing with slice bounds given by xarray objects
with datetime64 or timedelta64 dtypes (GH1240). By Stephan
Hoyer.
+ Attempting to convert an xarray.Dataset into a numpy array now
raises an informative error message. By Stephan Hoyer.
+ Fixed a bug in decode_cf_datetime where int32 arrays weren’t
parsed correctly (GH2002). By Fabien Maussion.
+ When calling xr.auto_combine() or xr.open_mfdataset() with a
concat_dim, the resulting dataset will have that one-element
dimension (it was silently dropped, previously) (GH1988). By Ben
Root.
- temporarily deactivated tests because of minor issues with netCDF library
see https://github.com/pydata/xarray/issues/2050
- update to version 0.10.3:
* Enhancements
- :py:meth:`~xarray.DataArray.isin` and :py:meth:`~xarray.Dataset.isin` methods,
which test each value in the array for whether it is contained in the
supplied list, returning a bool array. See :ref:`selecting values with isin`
for full details. Similar to the ``np.isin`` function.
By `Maximilian Roos <https://github.com/maxim-lian>`_.
- Some speed improvement to construct :py:class:`~xarray.DataArrayRolling`
object (:issue:`1993`)
By `Keisuke Fujii <https://github.com/fujiisoup>`_.
- Handle variables with different values for ``missing_value`` and
``_FillValue`` by masking values for both attributes; previously this
resulted in a ``ValueError``. (:issue:`2016`)
By `Ryan May <https://github.com/dopplershift>`_.
* Bug fixes
- Fixed ``decode_cf`` function to operate lazily on dask arrays
(:issue:`1372`). By `Ryan Abernathey <https://github.com/rabernat>`_.
- Fixed labeled indexing with slice bounds given by xarray objects with
datetime64 or timedelta64 dtypes (:issue:`1240`).
By `Stephan Hoyer <https://github.com/shoyer>`_.
- Attempting to convert an xarray.Dataset into a numpy array now raises an
informative error message.
By `Stephan Hoyer <https://github.com/shoyer>`_.
- Fixed a bug in decode_cf_datetime where ``int32`` arrays weren't parsed
correctly (:issue:`2002`).
By `Fabien Maussion <https://github.com/fmaussion>`_.
- When calling `xr.auto_combine()` or `xr.open_mfdataset()` with a `concat_dim`,
the resulting dataset will have that one-element dimension (it was
silently dropped, previously) (:issue:`1988`).
By `Ben Root <https://github.com/WeatherGod>`_.
- update to version 0.10.2:
* Backwards incompatible changes
+ The addition of __array_ufunc__ for xarray objects (see below)
means that NumPy ufunc methods (e.g., np.add.reduce) that
previously worked on xarray.DataArray objects by converting them
into NumPy arrays will now raise NotImplementedError instead. In
all cases, the work-around is simple: convert your objects
explicitly into NumPy arrays before calling the ufunc (e.g.,
with .values).
* Enhancements
+ Added dot(), equivalent to np.einsum(). Also, dot() now supports
dims option, which specifies the dimensions to sum
over. (GH1951) By Keisuke Fujii.
+ Support for writing xarray datasets to netCDF files (netcdf4
backend only) when using the dask.distributed scheduler
(GH1464). By Joe Hamman.
+ Support lazy vectorized-indexing. After this change, flexible
indexing such as orthogonal/vectorized indexing, becomes
possible for all the backend arrays. Also, lazy transpose is now
also supported. (GH1897) By Keisuke Fujii.
+ Implemented NumPy’s __array_ufunc__ protocol for all xarray
objects (GH1617). This enables using NumPy ufuncs directly on
xarray.Dataset objects with recent versions of NumPy (v1.13 and
newer):
In [1]: ds = xr.Dataset({'a': 1})
In [2]: np.sin(ds)
Out[2]:
<xarray.Dataset>
Dimensions: ()
Data variables:
a float64 0.8415
This obliviates the need for the xarray.ufuncs module, which
will be deprecated in the future when xarray drops support for
older versions of NumPy. By Stephan Hoyer.
+ Improve rolling() logic. DataArrayRolling() object now supports
construct() method that returns a view of the DataArray /
Dataset object with the rolling-window dimension added to the
last axis. This enables more flexible operation, such as strided
rolling, windowed rolling, ND-rolling, short-time FFT and
convolution. (GH1831, GH1142, GH819) By Keisuke Fujii.
+ line() learned to make plots with data on x-axis if so
specified. (GH575) By Deepak Cherian.
* Bug fixes
+ Raise an informative error message when using apply_ufunc with
numpy v1.11 (GH1956). By Stephan Hoyer.
+ Fix the precision drop after indexing datetime64 arrays
(GH1932). By Keisuke Fujii.
+ Silenced irrelevant warnings issued by open_rasterio
(GH1964). By Stephan Hoyer.
+ Fix kwarg colors clashing with auto-inferred cmap (GH1461) By
Deepak Cherian.
+ Fix imshow() error when passed an RGB array with size one in a
spatial dimension. By Zac Hatfield-Dodds.
- Replace future goals and aims by present capabilities.
- update to version 0.10.1:
* please see upstream changelog at: https://github.com/pydata/xarray/blob/v0.10.1/doc/whats-new.rst
- remove check boundary condition
- run spec-cleaner
- use %license for license
- Implement single-spec version
- Update to 0.9.6
* Please see changelog at:
https://github.com/pydata/xarray/blob/v0.9.6/doc/whats-new.rst
- Rename package to python3-xray to match upstream naming.
- update to version 0.7.0:
* The project formerly known as "xray" is now "xarray", pronounced "x-array"!
This avoids a namespace conflict with the entire field of x-ray science. Renaming
our project seemed like the right thing to do, especially because some
scientists who work with actual x-rays are interested in using this project in
their work. Thanks for your understanding and patience in this transition.
* Breaking changes
- The internal data model used by :py:class:`~xray.DataArray` has been
rewritten to fix several outstanding issues. Internally, ``DataArray``
is now implemented in terms of ``._variable`` and ``._coords``
attributes instead of holding variables in a ``Dataset`` object.
- It is no longer possible to convert a DataArray to a Dataset with
:py:meth:`xray.DataArray.to_dataset` if it is unnamed. This will now
raise ``ValueError``. If the array is unnamed, you need to supply the
``name`` argument.
* Enhancements
- Basic support for :py:class:`~pandas.MultiIndex` coordinates on xray objects, including
indexing, :py:meth:`~DataArray.stack` and :py:meth:`~DataArray.unstack`:
- Support for reading GRIB, HDF4 and other file formats via PyNIO_. See
:ref:`io.pynio` for more details.
- Better error message when a variable is supplied with the same name as
one of its dimensions.
- Plotting: more control on colormap parameters (:issue:`642`). ``vmin`` and
``vmax`` will not be silently ignored anymore. Setting ``center=False``
prevents automatic selection of a divergent colormap.
- New :py:meth:`~xray.Dataset.shift` and :py:meth:`~xray.Dataset.roll` methods
for shifting/rotating datasets or arrays along a dimension
- Assigning a ``pandas`` object directly as a ``Dataset`` variable is now permitted. Its
index names correspond to the ``dims`` of the ``Dataset``, and its data is aligned.
- Passing a :py:class:`pandas.DataFrame` or :py:class:`pandas.Panel` to a Dataset constructor
is now permitted.
- New function :py:func:`~xray.broadcast` for explicitly broadcasting
``DataArray`` and ``Dataset`` objects against each other.
* Bug fixes
- Fixes for several issues found on ``DataArray`` objects with the same name
as one of their coordinates (see :ref:`v0.7.0.breaking` for more details).
- ``DataArray.to_masked_array`` always returns masked array with mask being an
array (not a scalar value) (:issue:`684`)
- Allows for (imperfect) repr of Coords when underlying index is PeriodIndex (:issue:`645`).
- Fixes for several issues found on ``DataArray`` objects with the same name
as one of their coordinates (see :ref:`v0.7.0.breaking` for more details).
- Attempting to assign a ``Dataset`` or ``DataArray`` variable/attribute using
attribute-style syntax (e.g., ``ds.foo = 42``) now raises an error rather
than silently failing (:issue:`656`, :issue:`714`).
- You can now pass pandas objects with non-numpy dtypes (e.g., ``categorical``
or ``datetime64`` with a timezone) into xray without an error
(:issue:`716`).
- update to version 0.6.1:
* The handling of colormaps and discrete color lists for 2D plots in
:py:meth:`~xray.DataArray.plot` was changed to provide more
compatibility with matplotlib's contour and contourf functions
(:issue:`538`). Now discrete lists of colors should be specified
using colors keyword, rather than cmap.
* Faceted plotting through :py:class:`~xray.plot.FacetGrid` and the
:py:meth:`~xray.plot.plot` method. See :ref:`plotting.faceting`
for more details and examples.
* :py:meth:`~xray.Dataset.sel` and :py:meth:`~xray.Dataset.reindex`
now support the tolerance argument for controlling
nearest-neighbor selection (:issue:`629`):
This feature requires pandas v0.17 or newer.
* New encoding argument in :py:meth:`~xray.Dataset.to_netcdf` for
writing netCDF files with compression, as described in the new
documentation section on :ref:`io.netcdf.writing_encoded`.
* Add :py:attr:`~xray.Dataset.real` and
:py:attr:`~xray.Dataset.imag` attributes to Dataset and DataArray
(:issue:`553`).
* More informative error message with
:py:meth:`~xray.Dataset.from_dataframe` if the frame has duplicate
columns.
* xray now uses deterministic names for dask arrays it creates or
opens from disk. This allows xray users to take advantage of
dask's nascent support for caching intermediate computation
results. See :issue:`555` for an example.
* Forwards compatibility with the latest pandas release
(v0.17.0). We were using some internal pandas routines for
datetime conversion, which unfortunately have now changed upstream
(:issue:`569`).
* Aggregation functions now correctly skip NaN for data for
complex128 dtype (:issue:`554`).
* Fixed indexing 0d arrays with unicode dtype (:issue:`568`).
* :py:meth:`~xray.DataArray.name` and Dataset keys must be a string
or None to be written to netCDF (:issue:`533`).
* :py:meth:`~xray.DataArray.where` now uses dask instead of numpy if
either the array or other is a dask array. Previously, if other
was a numpy array the method was evaluated eagerly.
* Global attributes are now handled more consistently when loading
remote datasets using engine='pydap' (:issue:`574`).
* It is now possible to assign to the .data attribute of DataArray
objects.
* coordinates attribute is now kept in the encoding dictionary after
decoding (:issue:`610`).
* Compatibility with numpy 1.10 (:issue:`617
- update to version 0.6.0:
* Plotting methods have been implemented on DataArray objects
:py:meth:`~xray.DataArray.plot` through integration with matplotlib
(:issue:`185`). For an introduction, see :ref:`plotting`.
* Variables in netCDF files with multiple missing values are now decoded as
NaN after issuing a warning if open_dataset is called with
mask_and_scale=True.
* We clarified our rules for when the result from an xray operation is a copy
vs. a view (see :ref:`copies vs views` for more details).
* Dataset variables are now written to netCDF files in order of appearance
when using the netcdf4 backend (:issue:`479`).
* Added :py:meth:`~xray.Dataset.isel_points` and
:py:meth:`~xray.Dataset.sel_points` to support pointwise indexing of
Datasets and DataArrays (:issue:`475`).
* New :py:meth:`~xray.Dataset.where` method for masking xray objects
according to some criteria. This works particularly well with
multi-dimensional data:
* Added new methods :py:meth:`DataArray.diff <xray.DataArray.diff>` and
:py:meth:`Dataset.diff <xray.Dataset.diff>` for finite difference
calculations along a given axis.
* New :py:meth:`~xray.DataArray.to_masked_array` convenience method for
returning a numpy.ma.MaskedArray.
* Added new flag "drop_variables" to :py:meth:`~xray.open_dataset` for
excluding variables from being parsed. This may be useful to drop variables
with problems or inconsistent values.
* Fixed aggregation functions (e.g., sum and mean) on big-endian arrays when
bottleneck is installed (:issue:`489`).
* Dataset aggregation functions dropped variables with unsigned integer dtype
(:issue:`505`).
* .any() and .all() were not lazy when used on xray objects containing dask
arrays.
* Fixed an error when attempting to saving datetime64 variables to netCDF
files when the first element is NaT (:issue:`528`).
* Fix pickle on DataArray objects (:issue:`515`).
* Fixed unnecessary coercion of float64 to float32 when using netcdf3 and
netcdf4_classic formats (:issue:`526`).
- Initial version
OBS-URL: https://build.opensuse.org/request/show/617154
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-xarray?expand=0&rev=3
2018-06-29 22:27:12 +02:00
- update to version 0.10.3:
2018-04-24 15:31:25 +02:00
* Enhancements
- :py:meth:`~xarray.DataArray.isin` and :py:meth:`~xarray.Dataset.isin` methods,
which test each value in the array for whether it is contained in the
supplied list, returning a bool array. See :ref:`selecting values with isin`
for full details. Similar to the ``np.isin`` function.
By `Maximilian Roos <https://github.com/maxim-lian>`_.
- Some speed improvement to construct :py:class:`~xarray.DataArrayRolling`
object (:issue:`1993`)
By `Keisuke Fujii <https://github.com/fujiisoup>`_.
- Handle variables with different values for ``missing_value`` and
``_FillValue`` by masking values for both attributes; previously this
resulted in a ``ValueError``. (:issue:`2016`)
By `Ryan May <https://github.com/dopplershift>`_.
* Bug fixes
- Fixed ``decode_cf`` function to operate lazily on dask arrays
(:issue:`1372`). By `Ryan Abernathey <https://github.com/rabernat>`_.
- Fixed labeled indexing with slice bounds given by xarray objects with
datetime64 or timedelta64 dtypes (:issue:`1240`).
By `Stephan Hoyer <https://github.com/shoyer>`_.
- Attempting to convert an xarray.Dataset into a numpy array now raises an
informative error message.
By `Stephan Hoyer <https://github.com/shoyer>`_.
- Fixed a bug in decode_cf_datetime where ``int32`` arrays weren't parsed
correctly (:issue:`2002`).
By `Fabien Maussion <https://github.com/fmaussion>`_.
- When calling `xr.auto_combine()` or `xr.open_mfdataset()` with a `concat_dim`,
the resulting dataset will have that one-element dimension (it was
silently dropped, previously) (:issue:`1988`).
By `Ben Root <https://github.com/WeatherGod>`_.
-------------------------------------------------------------------
Sat Mar 24 00:09:34 UTC 2018 - arun@gmx.de
- update to version 0.10.2:
* Backwards incompatible changes
+ The addition of __array_ufunc__ for xarray objects (see below)
means that NumPy ufunc methods (e.g., np.add.reduce) that
previously worked on xarray.DataArray objects by converting them
into NumPy arrays will now raise NotImplementedError instead. In
all cases, the work-around is simple: convert your objects
explicitly into NumPy arrays before calling the ufunc (e.g.,
with .values).
* Enhancements
+ Added dot(), equivalent to np.einsum(). Also, dot() now supports
dims option, which specifies the dimensions to sum
over. (GH1951) By Keisuke Fujii.
+ Support for writing xarray datasets to netCDF files (netcdf4
backend only) when using the dask.distributed scheduler
(GH1464). By Joe Hamman.
+ Support lazy vectorized-indexing. After this change, flexible
indexing such as orthogonal/vectorized indexing, becomes
possible for all the backend arrays. Also, lazy transpose is now
also supported. (GH1897) By Keisuke Fujii.
+ Implemented NumPy’
objects (GH1617). This enables using NumPy ufuncs directly on
xarray.Dataset objects with recent versions of NumPy (v1.13 and
newer):
In [1]: ds = xr.Dataset({'a': 1})
In [2]: np.sin(ds)
Out[2]:
<xarray.Dataset>
Dimensions: ()
Data variables:
a float64 0.8415
This obliviates the need for the xarray.ufuncs module, which
will be deprecated in the future when xarray drops support for
older versions of NumPy. By Stephan Hoyer.
+ Improve rolling() logic. DataArrayRolling() object now supports
construct() method that returns a view of the DataArray /
Dataset object with the rolling-window dimension added to the
last axis. This enables more flexible operation, such as strided
rolling, windowed rolling, ND-rolling, short-time FFT and
convolution. (GH1831, GH1142, GH819) By Keisuke Fujii.
+ line() learned to make plots with data on x-axis if so
specified. (GH575) By Deepak Cherian.
* Bug fixes
+ Raise an informative error message when using apply_ufunc with
numpy v1.11 (GH1956). By Stephan Hoyer.
+ Fix the precision drop after indexing datetime64 arrays
(GH1932). By Keisuke Fujii.
+ Silenced irrelevant warnings issued by open_rasterio
(GH1964). By Stephan Hoyer.
+ Fix kwarg colors clashing with auto-inferred cmap (GH1461) By
Deepak Cherian.
+ Fix imshow() error when passed an RGB array with size one in a
spatial dimension. By Zac Hatfield-Dodds.
-------------------------------------------------------------------
Sun Mar 4 09:34:18 UTC 2018 - jengelh@inai.de
- Replace future goals and aims by present capabilities.
-------------------------------------------------------------------
Thu Mar 1 11:44:58 UTC 2018 - sebix+novell.com@sebix.at
- update to version 0.10.1:
* please see upstream changelog at: https://github.com/pydata/xarray/blob/v0.10.1/doc/whats-new.rst
- remove check boundary condition
- run spec-cleaner
- use %license for license
-------------------------------------------------------------------
Tue Aug 15 19:22:58 UTC 2017 - toddrme2178@gmail.com
- Implement single-spec version
- Update to 0.9.6
* Please see changelog at:
https://github.com/pydata/xarray/blob/v0.9.6/doc/whats-new.rst
-------------------------------------------------------------------
Thu Jan 28 13:02:36 UTC 2016 - toddrme2178@gmail.com
- Rename package to python3-xray to match upstream naming.
- update to version 0.7.0:
* The project formerly known as "xray" is now "xarray", pronounced "x-array"!
This avoids a namespace conflict with the entire field of x-ray science. Renaming
our project seemed like the right thing to do, especially because some
scientists who work with actual x-rays are interested in using this project in
their work. Thanks for your understanding and patience in this transition.
* Breaking changes
- The internal data model used by :py:class:`~xray.DataArray` has been
rewritten to fix several outstanding issues. Internally, ``DataArray``
is now implemented in terms of ``._variable`` and ``._coords``
attributes instead of holding variables in a ``Dataset`` object.
- It is no longer possible to convert a DataArray to a Dataset with
:py:meth:`xray.DataArray.to_dataset` if it is unnamed. This will now
raise ``ValueError``. If the array is unnamed, you need to supply the
``name`` argument.
* Enhancements
- Basic support for :py:class:`~pandas.MultiIndex` coordinates on xray objects, including
indexing, :py:meth:`~DataArray.stack` and :py:meth:`~DataArray.unstack`:
- Support for reading GRIB, HDF4 and other file formats via PyNIO_. See
:ref:`io.pynio` for more details.
- Better error message when a variable is supplied with the same name as
one of its dimensions.
- Plotting: more control on colormap parameters (:issue:`642`). ``vmin`` and
``vmax`` will not be silently ignored anymore. Setting ``center=False``
prevents automatic selection of a divergent colormap.
- New :py:meth:`~xray.Dataset.shift` and :py:meth:`~xray.Dataset.roll` methods
for shifting/rotating datasets or arrays along a dimension
- Assigning a ``pandas`` object directly as a ``Dataset`` variable is now permitted. Its
index names correspond to the ``dims`` of the ``Dataset``, and its data is aligned.
- Passing a :py:class:`pandas.DataFrame` or :py:class:`pandas.Panel` to a Dataset constructor
is now permitted.
- New function :py:func:`~xray.broadcast` for explicitly broadcasting
``DataArray`` and ``Dataset`` objects against each other.
* Bug fixes
- Fixes for several issues found on ``DataArray`` objects with the same name
as one of their coordinates (see :ref:`v0.7.0.breaking` for more details).
- ``DataArray.to_masked_array`` always returns masked array with mask being an
array (not a scalar value) (:issue:`684`)
- Allows for (imperfect) repr of Coords when underlying index is PeriodIndex (:issue:`645`).
- Fixes for several issues found on ``DataArray`` objects with the same name
as one of their coordinates (see :ref:`v0.7.0.breaking` for more details).
- Attempting to assign a ``Dataset`` or ``DataArray`` variable/attribute using
attribute-style syntax (e.g., ``ds.foo = 42``) now raises an error rather
than silently failing (:issue:`656`, :issue:`714`).
- You can now pass pandas objects with non-numpy dtypes (e.g., ``categorical``
or ``datetime64`` with a timezone) into xray without an error
(:issue:`716`).
- update to version 0.6.1:
* The handling of colormaps and discrete color lists for 2D plots in
:py:meth:`~xray.DataArray.plot` was changed to provide more
compatibility with matplotlib's contour and contourf functions
(:issue:`538`). Now discrete lists of colors should be specified
using colors keyword, rather than cmap.
* Faceted plotting through :py:class:`~xray.plot.FacetGrid` and the
:py:meth:`~xray.plot.plot` method. See :ref:`plotting.faceting`
for more details and examples.
* :py:meth:`~xray.Dataset.sel` and :py:meth:`~xray.Dataset.reindex`
now support the tolerance argument for controlling
nearest-neighbor selection (:issue:`629`):
This feature requires pandas v0.17 or newer.
* New encoding argument in :py:meth:`~xray.Dataset.to_netcdf` for
writing netCDF files with compression, as described in the new
documentation section on :ref:`io.netcdf.writing_encoded`.
* Add :py:attr:`~xray.Dataset.real` and
:py:attr:`~xray.Dataset.imag` attributes to Dataset and DataArray
(:issue:`553`).
* More informative error message with
:py:meth:`~xray.Dataset.from_dataframe` if the frame has duplicate
columns.
* xray now uses deterministic names for dask arrays it creates or
opens from disk. This allows xray users to take advantage of
dask's nascent support for caching intermediate computation
results. See :issue:`555` for an example.
* Forwards compatibility with the latest pandas release
(v0.17.0). We were using some internal pandas routines for
datetime conversion, which unfortunately have now changed upstream
(:issue:`569`).
* Aggregation functions now correctly skip NaN for data for
complex128 dtype (:issue:`554`).
* Fixed indexing 0d arrays with unicode dtype (:issue:`568`).
* :py:meth:`~xray.DataArray.name` and Dataset keys must be a string
or None to be written to netCDF (:issue:`533`).
* :py:meth:`~xray.DataArray.where` now uses dask instead of numpy if
either the array or other is a dask array. Previously, if other
was a numpy array the method was evaluated eagerly.
* Global attributes are now handled more consistently when loading
remote datasets using engine='pydap' (:issue:`574`).
* It is now possible to assign to the .data attribute of DataArray
objects.
* coordinates attribute is now kept in the encoding dictionary after
decoding (:issue:`610`).
* Compatibility with numpy 1.10 (:issue:`617
- update to version 0.6.0:
* Plotting methods have been implemented on DataArray objects
:py:meth:`~xray.DataArray.plot` through integration with matplotlib
(:issue:`185`). For an introduction, see :ref:`plotting`.
* Variables in netCDF files with multiple missing values are now decoded as
NaN after issuing a warning if open_dataset is called with
mask_and_scale=True.
* We clarified our rules for when the result from an xray operation is a copy
vs. a view (see :ref:`copies vs views` for more details).
* Dataset variables are now written to netCDF files in order of appearance
when using the netcdf4 backend (:issue:`479`).
* Added :py:meth:`~xray.Dataset.isel_points` and
:py:meth:`~xray.Dataset.sel_points` to support pointwise indexing of
Datasets and DataArrays (:issue:`475`).
* New :py:meth:`~xray.Dataset.where` method for masking xray objects
according to some criteria. This works particularly well with
multi-dimensional data:
* Added new methods :py:meth:`DataArray.diff <xray.DataArray.diff>` and
:py:meth:`Dataset.diff <xray.Dataset.diff>` for finite difference
calculations along a given axis.
* New :py:meth:`~xray.DataArray.to_masked_array` convenience method for
returning a numpy.ma.MaskedArray.
* Added new flag "drop_variables" to :py:meth:`~xray.open_dataset` for
excluding variables from being parsed. This may be useful to drop variables
with problems or inconsistent values.
* Fixed aggregation functions (e.g., sum and mean) on big-endian arrays when
bottleneck is installed (:issue:`489`).
* Dataset aggregation functions dropped variables with unsigned integer dtype
(:issue:`505`).
* .any() and .all() were not lazy when used on xray objects containing dask
arrays.
* Fixed an error when attempting to saving datetime64 variables to netCDF
files when the first element is NaT (:issue:`528`).
* Fix pickle on DataArray objects (:issue:`515`).
* Fixed unnecessary coercion of float64 to float32 when using netcdf3 and
netcdf4_classic formats (:issue:`526`).
-------------------------------------------------------------------
Tue Jul 14 16:27:58 UTC 2015 - toddrme2178@gmail.com
- Initial version
