DOC: fix docstrings and doc build for 0.11.1

Author: shoyer

doc/examples/weather-data.rst

@@ -17,7 +17,7 @@ Shared setup:
 .. ipython:: python
    :suppress:
 
-    fpath = "doc/examples/_code/weather_data_setup.py"
+    fpath = "examples/_code/weather_data_setup.py"
     with open(fpath) as f:
         code = compile(f.read(), fpath, 'exec')
         exec(code)

doc/internals.rst

@@ -111,7 +111,7 @@ Back in an interactive IPython session, we can use these properties:
 .. ipython:: python
    :suppress:
 
-   exec(open("doc/examples/_code/accessor_example.py").read())
+   exec(open("examples/_code/accessor_example.py").read())
 
 .. ipython:: python
 

doc/whats-new.rst

@@ -13,23 +13,24 @@ What's New
     import xarray as xr
     np.random.seed(123456)
 
+.. _whats-new.0.11.1:
+
+v0.11.1 (29 December 2018)
+--------------------------
+
+This minor release includes a number of enhancements and bug fixes, and two
+(slightly) breaking changes.
+
 .. warning::
 
-    Xarray plans to drop support for python 2.7 at the end of 2018. This
-    means that new releases of xarray published after this date will only be
-    installable on python 3+ environments, but older versions of xarray will
-    always be available to python 2.7 users. For more information see the
-    following references
+  This is the last xarray release that will support Python 2.7. Future releases
+  will be Python 3 only, but older versions of xarray will always be available
+  for Python 2.7 users. For the more details, see:
 
-     - `Xarray Github issue discussing dropping Python 2 <https://github.com/pydata/xarray/issues/1829>`__
+  - `Xarray Github issue discussing dropping Python 2 <https://github.com/pydata/xarray/issues/1829>`__
   - `Python 3 Statement <http://www.python3statement.org/>`__
   - `Tips on porting to Python 3 <https://docs.python.org/3/howto/pyporting.html>`__
 
-.. _whats-new.0.11.1:
-
-v0.11.1 (unreleased)
---------------------
-
 Breaking changes
 ~~~~~~~~~~~~~~~~
 
@@ -70,9 +71,9 @@ Enhancements
 - Datasets are now guaranteed to have a ``'source'`` encoding, so the source
   file name is always stored (:issue:`2550`).
   By `Tom Nicholas <http://github.com/TomNicholas>`_.
-- The `apply` methods for `DatasetGroupBy`, `DataArrayGroupBy`,
-  `DatasetResample` and `DataArrayResample` can now pass positional arguments to
-  the applied function.
+- The ``apply`` methods for ``DatasetGroupBy``, ``DataArrayGroupBy``,
+  ``DatasetResample`` and ``DataArrayResample`` now support passing positional
+  arguments to the applied function as a tuple to the ``args`` argument.
   By `Matti Eskelinen <https://github.com/maaleske>`_.
 - 0d slices of ndarrays are now obtained directly through indexing, rather than
   extracting and wrapping a scalar, avoiding unnecessary copying. By `Daniel

xarray/backends/api.py

@@ -517,18 +517,17 @@ def open_mfdataset(paths, chunks=None, concat_dim=_CONCAT_DIM_DEFAULT,
         By default, xarray attempts to infer this argument by examining
         component files. Set ``concat_dim=None`` explicitly to disable
         concatenation.
-    compat : {'identical', 'equals', 'broadcast_equals',
-              'no_conflicts'}, optional
+    compat : {'identical', 'equals', 'broadcast_equals', 'no_conflicts'}, optional
         String indicating how to compare variables of the same name for
         potential conflicts when merging:
-        - 'broadcast_equals': all values must be equal when variables are
-          broadcast against each other to ensure common dimensions.
-        - 'equals': all values and dimensions must be the same.
-        - 'identical': all values, dimensions and attributes must be the
-          same.
-        - 'no_conflicts': only values which are not null in both datasets
-          must be equal. The returned dataset then contains the combination
-          of all non-null values.
+         * 'broadcast_equals': all values must be equal when variables are
+           broadcast against each other to ensure common dimensions.
+         * 'equals': all values and dimensions must be the same.
+         * 'identical': all values, dimensions and attributes must be the
+           same.
+         * 'no_conflicts': only values which are not null in both datasets
+           must be equal. The returned dataset then contains the combination
+           of all non-null values.
     preprocess : callable, optional
         If provided, call this function on each dataset prior to concatenation.
         You can find the file-name from which each dataset was loaded in
@@ -545,29 +544,31 @@ def open_mfdataset(paths, chunks=None, concat_dim=_CONCAT_DIM_DEFAULT,
         active dask scheduler.
     data_vars : {'minimal', 'different', 'all' or list of str}, optional
         These data variables will be concatenated together:
-          * 'minimal': Only data variables in which the dimension already
-            appears are included.
-          * 'different': Data variables which are not equal (ignoring
-            attributes) across all datasets are also concatenated (as well as
-            all for which dimension already appears). Beware: this option may
-            load the data payload of data variables into memory if they are not
-            already loaded.
-          * 'all': All data variables will be concatenated.
-          * list of str: The listed data variables will be concatenated, in
-            addition to the 'minimal' data variables.
+
+         * 'minimal': Only data variables in which the dimension already
+           appears are included.
+         * 'different': Data variables which are not equal (ignoring
+           attributes) across all datasets are also concatenated (as well as
+           all for which dimension already appears). Beware: this option may
+           load the data payload of data variables into memory if they are not
+           already loaded.
+         * 'all': All data variables will be concatenated.
+         * list of str: The listed data variables will be concatenated, in
+           addition to the 'minimal' data variables.
     coords : {'minimal', 'different', 'all' o list of str}, optional
         These coordinate variables will be concatenated together:
-          * 'minimal': Only coordinates in which the dimension already appears
-            are included.
-          * 'different': Coordinates which are not equal (ignoring attributes)
-            across all datasets are also concatenated (as well as all for which
-            dimension already appears). Beware: this option may load the data
-            payload of coordinate variables into memory if they are not already
-            loaded.
-          * 'all': All coordinate variables will be concatenated, except
-            those corresponding to other dimensions.
-          * list of str: The listed coordinate variables will be concatenated,
-            in addition the 'minimal' coordinates.
+
+         * 'minimal': Only coordinates in which the dimension already appears
+           are included.
+         * 'different': Coordinates which are not equal (ignoring attributes)
+           across all datasets are also concatenated (as well as all for which
+           dimension already appears). Beware: this option may load the data
+           payload of coordinate variables into memory if they are not already
+           loaded.
+         * 'all': All coordinate variables will be concatenated, except
+           those corresponding to other dimensions.
+         * list of str: The listed coordinate variables will be concatenated,
+           in addition the 'minimal' coordinates.
     parallel : bool, optional
         If True, the open and preprocess steps of this function will be
         performed in parallel using ``dask.delayed``. Default is False.

xarray/core/alignment.py

@@ -53,6 +53,7 @@ def align(*objects, **kwargs):
     join : {'outer', 'inner', 'left', 'right', 'exact'}, optional
         Method for joining the indexes of the passed objects along each
         dimension:
+
         - 'outer': use the union of object indexes
         - 'inner': use the intersection of object indexes
         - 'left': use indexes from the first object with each dimension

xarray/core/combine.py

@@ -574,10 +574,10 @@ def auto_combine(datasets, concat_dim=_CONCAT_DIM_DEFAULT,
         By default, xarray attempts to infer this argument by examining
         component files. Set ``concat_dim=None`` explicitly to disable
         concatenation.
-    compat : {'identical', 'equals', 'broadcast_equals',
-              'no_conflicts'}, optional
+    compat : {'identical', 'equals', 'broadcast_equals', 'no_conflicts'}, optional
         String indicating how to compare variables of the same name for
         potential conflicts:
+
         - 'broadcast_equals': all values must be equal when variables are
           broadcast against each other to ensure common dimensions.
         - 'equals': all values and dimensions must be the same.
@@ -599,7 +599,7 @@ def auto_combine(datasets, concat_dim=_CONCAT_DIM_DEFAULT,
     --------
     concat
     Dataset.merge
-    """
+    """  # noqa
 
     # Coerce 1D input into ND to maintain backwards-compatible API until API
     # for N-D combine decided

xarray/core/merge.py

@@ -49,8 +49,7 @@ def unique_variable(name, variables, compat='broadcast_equals'):
     variables : list of xarray.Variable
         List of Variable objects, all of which go by the same name in different
         inputs.
-    compat : {'identical', 'equals', 'broadcast_equals',
-              'no_conflicts'}, optional
+    compat : {'identical', 'equals', 'broadcast_equals', 'no_conflicts'}, optional
         Type of equality check to use.
 
     Returns
@@ -60,7 +59,7 @@ def unique_variable(name, variables, compat='broadcast_equals'):
     Raises
     ------
     MergeError: if any of the variables are not equal.
-    """
+    """  # noqa
     out = variables[0]
     if len(variables) > 1:
         combine_method = None
@@ -122,16 +121,15 @@ def merge_variables(
     priority_vars : mapping with Variable or None values, optional
         If provided, variables are always taken from this dict in preference to
         the input variable dictionaries, without checking for conflicts.
-    compat : {'identical', 'equals', 'broadcast_equals',
-              'minimal', 'no_conflicts'}, optional
+    compat : {'identical', 'equals', 'broadcast_equals', 'minimal', 'no_conflicts'}, optional
         Type of equality check to use when checking for conflicts.
 
     Returns
     -------
     OrderedDict with keys taken by the union of keys on list_of_variable_dicts,
     and Variable values corresponding to those that should be found on the
     merged result.
-    """
+    """  # noqa
     if priority_vars is None:
         priority_vars = {}
 
@@ -313,15 +311,14 @@ def _get_priority_vars(objects, priority_arg, compat='equals'):
         Dictionaries in which to find the priority variables.
     priority_arg : int or None
         Integer object whose variable should take priority.
-    compat : {'identical', 'equals', 'broadcast_equals',
-              'no_conflicts'}, optional
+    compat : {'identical', 'equals', 'broadcast_equals', 'no_conflicts'}, optional
         Compatibility checks to use when merging variables.
 
     Returns
     -------
     None, if priority_arg is None, or an OrderedDict with Variable objects as
     values indicating priority variables.
-    """
+    """  # noqa
     if priority_arg is None:
         priority_vars = {}
     else:
@@ -406,8 +403,7 @@ def merge_core(objs,
     ----------
     objs : list of mappings
         All values must be convertable to labeled arrays.
-    compat : {'identical', 'equals', 'broadcast_equals',
-              'no_conflicts'}, optional
+    compat : {'identical', 'equals', 'broadcast_equals', 'no_conflicts'}, optional
         Compatibility checks to use when merging variables.
     join : {'outer', 'inner', 'left', 'right'}, optional
         How to combine objects with different indexes.
@@ -430,7 +426,7 @@ def merge_core(objs,
     Raises
     ------
     MergeError if the merge cannot be done successfully.
-    """
+    """  # noqa
     from .dataset import calculate_dimensions
 
     _assert_compat_valid(compat)
@@ -472,8 +468,7 @@ def merge(objects, compat='no_conflicts', join='outer'):
     objects : Iterable[Union[xarray.Dataset, xarray.DataArray, dict]]
         Merge together all variables from these objects. If any of them are
         DataArray objects, they must have a name.
-    compat : {'identical', 'equals', 'broadcast_equals',
-              'no_conflicts'}, optional
+    compat : {'identical', 'equals', 'broadcast_equals', 'no_conflicts'}, optional
         String indicating how to compare variables of the same name for
         potential conflicts:
 
@@ -516,7 +511,7 @@ def merge(objects, compat='no_conflicts', join='outer'):
     See also
     --------
     concat
-    """
+    """  # noqa
     from .dataarray import DataArray
     from .dataset import Dataset