<commit_before>What's New
==========

v0.2.0 (14 August 2014)
-----------------------

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 :doc:`tutorial`.
- You can perform aggregation operations like ``mean`` directly on
  :py:class:`~xray.Dataset` objects, thanks to <NAME>. These aggregation
  methods also worked on grouped datasets.
- xray now works on Python 2.6, thanks to <NAME>.
- 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 :py:meth`~xray.Dataset.load_data` and :py:meth`~xray.Dataset.close`
  methods for datasets facilitate lower level of control of data loaded from
  disk.

v0.1.1 (20 May 2014)<commit_msg>Fix whats new typo<commit_after>What's New
==========

v0.2.0 (14 August 2014)
-----------------------

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 :doc:`tutorial`.
- You can perform aggregation operations like ``mean`` directly on
  :py:class:`~xray.Dataset` objects, thanks to <NAME>. These aggregation
  methods also worked on grouped datasets.
- xray now works on Python 2.6, thanks to <NAME>.
- 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 :py:meth:`~xray.Dataset.load_data` and :py:meth:`~xray.Dataset.close`
  methods for datasets facilitate lower level of control of data loaded from
  disk.

v0.1.1 (20 May 2014)
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{'dir': 'git-commits-cleaned', 'id': '3901149', 'n_tokens_mistral': 680, 'n_tokens_neox': 641, 'n_words': 266}