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