Releases · pydata/xarray

23 Oct 06:31

shoyer

v0.3.1

76ee314

v0.3.1

This is mostly a bug-fix release to make xray compatible with the latest release of pandas (v0.15).

We added several features to better support working with missing values and exporting xray objects to pandas. We also reorganized the internal API for serializing and deserializing datasets, but this change should be almost entirely transparent to users.

Other than breaking the experimental DataStore API, there should be no backwards incompatible changes.

New features:

Added count and dropna methods, copied from pandas, for working with missing values.
Added DataArray.to_pandas for
converting a data array into the pandas object with the same dimensionality
(1D to Series, 2D to DataFrame, etc.).
Support for reading gzipped netCDF3 files.
Reduced memory usage when writing netCDF files.
'missing_value' is now supported as an alias for the '_FillValue' attribute
on netCDF variables.
Trivial indexes, equivalent to range(n) where n is the length of the
dimension, are no longer written to disk.

Bug fixes:

Compatibility fixes for pandas v0.15.
Fixes for display and indexing of NaT (not-a-time).
Fix slicing by label was an argument is a data array.
Test data is now shipped with the source distribution.
Ensure order does not matter when doing arithmetic with scalar data arrays.
Order of dimensions preserved with DataArray.to_dataframe.

Assets 2

22 Sep 05:10

shoyer

v0.3

646cb5a

v0.3

New features:

Revamped coordinates: "coordinates" now refer to all arrays that are not
used to index a dimension. Coordinates are intended to allow for keeping track
of arrays of metadata that describe the grid on which the points in "variable"
arrays lie. They are preserved (when unambiguous) even though mathematical
operations.
Dataset math xray.Dataset objects now support all arithmetic
operations directly. Dataset-array operations map across all dataset
variables; dataset-dataset operations act on each pair of variables with the
same name.
GroupBy math: This provides a convenient shortcut for normalizing by the
average value of a group.
The dataset __repr__ method has been entirely overhauled; dataset
objects now show their values when printed.
You can now index a dataset with a list of variables to return a new dataset:
ds[['foo', 'bar']].

Backwards incompatible changes:

Dataset.__eq__ and Dataset.__ne__ are now element-wise operations
instead of comparing all values to obtain a single boolean. Use the method
Dataset.equals instead.

Deprecations:

Dataset.noncoords is deprecated: use Dataset.vars instead.
Dataset.select_vars deprecated: index a Dataset with a list of
variable names instead.
DataArray.select_vars and DataArray.drop_vars deprecated: use
DataArray.reset_coords instead.

Assets 2

14 Aug 20:02

shoyer

v0.2

db6598a

v0.2

This is major release that includes some new features and quite a few bug
fixes. Here are the highlights:

There is now a direct constructor for DataArray objects, which makes it
possible to create a DataArray without using a Dataset. This is highlighted
in the refreshed tutorial.
You can perform aggregation operations like mean directly on
xray.Dataset objects, thanks to Joe Hamman. These aggregation
methods also worked on grouped datasets.
xray now works on Python 2.6, thanks to Anna Kuznetsova.
A number of methods and attributes were given more sensible (usually shorter)
names: labeled -> sel, indexed -> isel, select ->
select_vars, unselect -> drop_vars, dimensions -> dims,
coordinates -> coords, attributes -> attrs.
New Dataset.load_data and Dataset.close methods for datasets facilitate lower level of control of data loaded from disk.