v0.8.1

Bug fixes

• Fix bug in v0.8.0 that broke assignment to Datasets with non-unique
  indexes (#943). By Stephan Hoyer.

v0.8.0

v0.8.0 (2 August 2016)

This release includes new features and bug fixes, including several breaking changes.

Breaking changes

• Dropped support for Python 2.6 (#855).
• Indexing on multi-index now drop levels, which is consistent with pandas. It also changes the name of the dimension / coordinate when the multi-index is reduced to a single index (#802).
• Contour plots no longer add a colorbar per default (#866). Filled contour plots are unchanged.
• DataArray.values and .data now always returns an NumPy array-like object, even for 0-dimensional arrays with object dtype (#867). Previously, .values returned native Python objects in such cases. To convert the values of scalar arrays to Python objects, use the .item() method.

Enhancements

• Groupby operations now support grouping over multidimensional variables. A new method called xarray.Dataset.groupby_bins has also been added to allow users to specify bins for grouping. The new features are described in groupby.multidim and examples.multidim. By Ryan Abernathey.
• DataArray and Dataset method where now supports a drop=True option that clips coordinate elements that are fully masked. By Phillip J. Wolfram.
• New top level merge function allows for combining variables from any number of Dataset and/or DataArray variables. See merge for more details. By Stephan Hoyer.
• DataArray and Dataset method resample now supports the keep_attrs=False option that determines whether variable and dataset attributes are retained in the resampled object. By Jeremy McGibbon.
• Better multi-index support in DataArray and Dataset sel and loc methods, which now behave more closely to pandas and which also accept dictionaries for indexing based on given level names and labels (see multi-level indexing). By Benoit Bovy.
• New (experimental) decorators xarray.register_dataset_accessor and xarray.register_dataarray_accessor for registering custom xarray extensions without subclassing. They are described in the new documentation page on internals. By Stephan Hoyer.
• Round trip boolean datatypes. Previously, writing boolean datatypes to netCDF formats would raise an error since netCDF does not have a bool datatype. This feature reads/writes a dtype attribute to boolean variables in netCDF files. By Joe Hamman.
• 2D plotting methods now have two new keywords (cbar_ax and cbar_kwargs), allowing more control on the colorbar (#872). By Fabien Maussion.
• New Dataset method filter_by_attrs, akin to netCDF4.Dataset.get_variables_by_attributes, to easily filter data variables using its attributes. Filipe Fernandes.

Bug fixes

• Attributes were being retained by default for some resampling operations when they should not. With the keep_attrs=False option, they will no longer be retained by default. This may be backwards-incompatible with some scripts, but the attributes may be kept by adding the keep_attrs=True option. By Jeremy McGibbon.
• Concatenating xarray objects along an axis with a MultiIndex or PeriodIndex preserves the nature of the index (#875). By Stephan Hoyer.
• Fixed bug in arithmetic operations on DataArray objects whose dimensions are numpy structured arrays or recarrays #861, #837. By Maciek Swat.
• decode_cf_timedelta now accepts arrays with ndim >1 (#842). This fixes issue #665. Filipe Fernandes.
• Fix a bug where xarray.ufuncs that take two arguments would incorrectly use to numpy functions instead of dask.array functions (#876). By Stephan Hoyer.
• Support for pickling functions from xarray.ufuncs (#901). By Stephan Hoyer.
• Variable.copy(deep=True) no longer converts MultiIndex into a base Index (#769). By Benoit Bovy.
• Fixes for groupby on dimensions with a multi-index (#867). By Stephan Hoyer.
• Fix printing datasets with unicode attributes on Python 2 (#892). By Stephan Hoyer.
• Fixed incorrect test for dask version (#891). By Stephan Hoyer.
• Fixed dim argument for isel_points/sel_points when a pandas.Index is passed. By Stephan Hoyer.
• xarray.plot.contour now plots the correct number of contours (#866). By Fabien Maussion.

v0.8.0rc1

v0.8.0rc1

v0.7.2

Version 0.7.2

v0.7.1

Version 0.7.1

v0.7.0

Version 0.7.0

v0.6.1

This release contains a number of bug and compatibility fixes, as well as enhancements to plotting, indexing and writing files to disk.

Note that the minimum required version of dask for use with xray is now version 0.6.

• Faceted plotting through FacetGrid and the plot() method. See Faceting for more details and examples.
• sel() and reindex() now support the tolerance argument for controlling nearest-neighbor selection (GH629). This feature requires pandas v0.17 or newer.
• New encoding argument in to_netcdf() for writing netCDF files with compression, as described in the new documentation section on Writing encoded data.
• Add real and imag attributes to Dataset and DataArray (GH553).
• More informative error message with 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 GH555 for an example.
• Compatibility with Python 3.5 (GH583).
• Compatibility with pandas 0.17 (GH569).
• Compatability with numpy 1.10 (GH618).

See the What's New page for more information. Please report any issues here.

You an install the latest version of xray via conda:

conda install xray

or via pip:

pip install xray

v0.5.1

This minor release fixes a few bugs and an inconsistency with pandas. It also adds the pipe method, copied from pandas.

For more details, see the release notes.

v0.5

Highlights of this release:

• Support for parallel computation on arrays that don't fit in memory using dask.array (see http://continuum.io/blog/xray-dask for more details)
• Support for multi-file datasets
• assign and fillna methods, based on the pandas methods of the same name.
• to_array and to_dataset methods for easier conversion between xray Dataset and DataArray objects.
• Label based indexing with nearest neighbor lookups

For more details, see the release notes.

v0.4.1

The release contains bug fixes and several new features. All changes should be fully backwards compatible.

Highlights include:

• Documentation sections on Time series data and Combining multiple files.
• resample method for resampling to a new temporal resolution like pandas
• first and last methods on groupby objects
• swap_dims method for swapping dimensions
• Fixed a critical bug with the scipy netCDF backend

For more details, see the release notes