{"action":"closed","number":801,"pull_request":{"url":"https://api.github.com/repos/ioos/conda-recipes/pulls/801","id":62738652,"html_url":"https://github.com/ioos/conda-recipes/pull/801","diff_url":"https://github.com/ioos/conda-recipes/pull/801.diff","patch_url":"https://github.com/ioos/conda-recipes/pull/801.patch","issue_url":"https://api.github.com/repos/ioos/conda-recipes/issues/801","number":801,"state":"closed","locked":false,"title":"xarray 0.7.2","user":{"login":"ocefpaf","id":950575,"avatar_url":"https://avatars.githubusercontent.com/u/950575?v=3","gravatar_id":"","url":"https://api.github.com/users/ocefpaf","html_url":"https://github.com/ocefpaf","followers_url":"https://api.github.com/users/ocefpaf/followers","following_url":"https://api.github.com/users/ocefpaf/following{/other_user}","gists_url":"https://api.github.com/users/ocefpaf/gists{/gist_id}","starred_url":"https://api.github.com/users/ocefpaf/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ocefpaf/subscriptions","organizations_url":"https://api.github.com/users/ocefpaf/orgs","repos_url":"https://api.github.com/users/ocefpaf/repos","events_url":"https://api.github.com/users/ocefpaf/events{/privacy}","received_events_url":"https://api.github.com/users/ocefpaf/received_events","type":"User","site_admin":false},"body":"What's New\r\n==========\r\n\r\n    import numpy as np\r\n    import pandas as pd\r\n    import xray\r\n    import xarray\r\n    import xarray as xr\r\n    np.random.seed(123456)\r\n\r\nv0.7.2 (13 March 2016)\r\n----------------------\r\n\r\nThis release includes two new, entirely backwards compatible features and\r\nseveral bug fixes.\r\n\r\nEnhancements\r\n~~~~~~~~~~~~\r\n\r\n- New DataArray method :py:meth:`DataArray.dot` for calculating the dot\r\n  product of two DataArrays along shared dimensions. By\r\n  `Dean Pospisil <https://github.com/deanpospisil>`_.\r\n\r\n- Rolling window operations on DataArray objects are now supported via a new\r\n  :py:meth:`DataArray.rolling` method. For example:\r\n\r\n  .. ipython::\r\n    :verbatim:\r\n\r\n    In [1]: import xarray as xr; import numpy as np\r\n\r\n    In [2]: arr = xr.DataArray(np.arange(0, 7.5, 0.5).reshape(3, 5),\r\n                               dims=('x', 'y'))\r\n\r\n    In [3]: arr\r\n    Out[3]:\r\n    <xarray.DataArray (x: 3, y: 5)>\r\n    array([[ 0. ,  0.5,  1. ,  1.5,  2. ],\r\n           [ 2.5,  3. ,  3.5,  4. ,  4.5],\r\n           [ 5. ,  5.5,  6. ,  6.5,  7. ]])\r\n    Coordinates:\r\n      * x        (x) int64 0 1 2\r\n      * y        (y) int64 0 1 2 3 4\r\n\r\n    In [4]: arr.rolling(y=3, min_periods=2).mean()\r\n    Out[4]:\r\n    <xarray.DataArray (x: 3, y: 5)>\r\n    array([[  nan,  0.25,  0.5 ,  1.  ,  1.5 ],\r\n           [  nan,  2.75,  3.  ,  3.5 ,  4.  ],\r\n           [  nan,  5.25,  5.5 ,  6.  ,  6.5 ]])\r\n    Coordinates:\r\n      * x        (x) int64 0 1 2\r\n      * y        (y) int64 0 1 2 3 4\r\n\r\n  See :ref:`comput.rolling` for more details. By\r\n  `Joe Hamman <https://github.com/jhamman>`_.\r\n\r\nBug fixes\r\n~~~~~~~~~\r\n\r\n- Fixed an issue where plots using pcolormesh and Cartopy axes were being distorted\r\n  by the inference of the axis interval breaks. This change chooses not to modify\r\n  the coordinate variables when the axes have the attribute ``projection``, allowing\r\n  Cartopy to handle the extent of pcolormesh plots (:issue:`781`). By\r\n  `Joe Hamman <https://github.com/jhamman>`_.\r\n\r\n- 2D plots now better handle additional coordinates which are not ``DataArray``\r\n  dimensions (:issue:`788`). By `Fabien Maussion 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