issues: 168375067

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
168375067 MDU6SXNzdWUxNjgzNzUwNjc= 925 DataArray.mean docstring is not filled in completely 1217238 closed 0     0 2016-07-29T17:33:34Z 2017-01-26T04:12:49Z 2017-01-26T04:12:49Z MEMBER      

as reported by @chrisroat:

``` In [9]: help(normed.mean) Help on method mean in module xarray.core.common:

mean(self, dim=None, axis=None, skipna=None, keep_attrs=False, **kwargs) method of xarray.core.dataarray.DataArray instance Reduce this DataArray's data by applying mean along some dimension(s).

Parameters
----------
dim : str or sequence of str, optional
    Dimension(s) over which to apply `{name}`.
axis : int or sequence of int, optional
    Axis(es) over which to apply `{name}`. Only one of the 'dim'
    and 'axis' arguments can be supplied. If neither are supplied, then
    `{name}` is calculated over axes.
skipna : bool, optional
    If True, skip missing values (as marked by NaN). By default, only
    skips missing values for float dtypes; other dtypes either do not
    have a sentinel missing value (int) or skipna=True has not been
    implemented (object, datetime64 or timedelta64).
keep_attrs : bool, optional
    If True, the attributes (`attrs`) will be copied from the original
    object to the new one.  If False (default), the new object will be
    returned without attributes.
**kwargs : dict
    Additional keyword arguments passed on to `mean`.

Returns
-------
reduced : DataArray
    New DataArray object with `mean` applied to its data and the
    indicated dimension(s) removed.

```

We probably should fix #755 at the same time.

 
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   completed 13221727 issue

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