Silence sphinx warnings: Round 2

azure-pipelines.yml

@@ -110,5 +110,5 @@ jobs:
   - bash: |
       source activate xarray-tests
       cd doc
-      sphinx-build -n -j auto -b html -d _build/doctrees . _build/html
+      sphinx-build -W --keep-going -j auto -b html -d _build/doctrees . _build/html
     displayName: Build HTML docs

doc/whats-new.rst

@@ -30,7 +30,7 @@ New Features
   By `Deepak Cherian <https://github.com/dcherian>`_.
 - Added the :py:meth:`count` reduction method to both :py:class:`DatasetCoarsen`
   and :py:class:`DataArrayCoarsen` objects. (:pull:`3500`)
-  By `Deepak Cherian <https://github.com/dcherian/>`_
+  By `Deepak Cherian <https://github.com/dcherian>`_
 
 Bug fixes
 ~~~~~~~~~
@@ -42,17 +42,17 @@ Documentation
 - Switch doc examples to use nbsphinx and replace sphinx_gallery with
   notebook.
   (:pull:`3105`, :pull:`3106`, :pull:`3121`)
-  By `Ryan Abernathey <https://github.com/rabernat>`
+  By `Ryan Abernathey <https://github.com/rabernat>`_
 - Added example notebook demonstrating use of xarray with Regional Ocean
   Modeling System (ROMS) ocean hydrodynamic model output.
   (:pull:`3116`).
-  By `Robert Hetland <https://github.com/hetland>`
+  By `Robert Hetland <https://github.com/hetland>`_
 - Added example notebook demonstrating the visualization of ERA5 GRIB
   data. (:pull:`3199`)
-  By `Zach Bruick <https://github.com/zbruick>` and
-  `Stephan Siemen <https://github.com/StephanSiemen>`
-- Added examples for `DataArray.quantile`, `Dataset.quantile` and
-  `GroupBy.quantile`. (:pull:`3576`)
+  By `Zach Bruick <https://github.com/zbruick>`_ and
+  `Stephan Siemen <https://github.com/StephanSiemen>`_
+- Added examples for :py:meth:`DataArray.quantile`, :py:meth:`Dataset.quantile` and
+  ``GroupBy.quantile``. (:pull:`3576`)
   By `Justus Magin <https://github.com/keewis>`_.
 
 Internal Changes

xarray/core/dataarray.py

@@ -235,19 +235,6 @@ class DataArray(AbstractArray, DataWithCoords):
 
     Getting items from or doing mathematical operations with a DataArray
     always returns another DataArray.
-
-    Attributes
-    ----------
-    dims : tuple
-        Dimension names associated with this array.
-    values : numpy.ndarray
-        Access or modify DataArray values as a numpy array.
-    coords : dict-like
-        Dictionary of DataArray objects that label values along each dimension.
-    name : str or None
-        Name of this array.
-    attrs : dict
-        Dictionary for holding arbitrary metadata.
     """
 
     _cache: Dict[str, Any]
@@ -3000,8 +2987,6 @@ def quantile(
         ...     coords={"x": [7, 9], "y": [1, 1.5, 2, 2.5]},
         ...     dims=("x", "y"),
         ... )
-
-        Single quantile
         >>> da.quantile(0)  # or da.quantile(0, dim=...)
         <xarray.DataArray ()>
         array(0.7)
@@ -3013,8 +2998,6 @@ def quantile(
         Coordinates:
           * y         (y) float64 1.0 1.5 2.0 2.5
             quantile  float64 0.0
-
-        Multiple quantiles
         >>> da.quantile([0, 0.5, 1])
         <xarray.DataArray (quantile: 3)>
         array([0.7, 3.4, 9.4])

xarray/core/dataset.py

@@ -5167,8 +5167,6 @@ def quantile(
         ...     {"a": (("x", "y"), [[0.7, 4.2, 9.4, 1.5], [6.5, 7.3, 2.6, 1.9]])},
         ...     coords={"x": [7, 9], "y": [1, 1.5, 2, 2.5]},
         ... )
-
-        Single quantile
         >>> ds.quantile(0)  # or ds.quantile(0, dim=...)
         <xarray.Dataset>
         Dimensions:   ()
@@ -5184,8 +5182,6 @@ def quantile(
             quantile  float64 0.0
         Data variables:
             a         (y) float64 0.7 4.2 2.6 1.5
-
-        Multiple quantiles
         >>> ds.quantile([0, 0.5, 1])
         <xarray.Dataset>
         Dimensions:   (quantile: 3)

xarray/core/groupby.py

@@ -607,8 +607,6 @@ def quantile(self, q, dim=None, interpolation="linear", keep_attrs=None):
         ...     dims=("y", "y"),
         ... )
         >>> ds = xr.Dataset({"a": da})
-
-        Single quantile
         >>> da.groupby("x").quantile(0)
         <xarray.DataArray (x: 2, y: 4)>
         array([[0.7, 4.2, 0.7, 1.5],
@@ -625,15 +623,12 @@ def quantile(self, q, dim=None, interpolation="linear", keep_attrs=None):
           * y         (y) int64 1 2
         Data variables:
             a         (y) float64 0.7 0.7
-
-        Multiple quantiles
         >>> da.groupby("x").quantile([0, 0.5, 1])
         <xarray.DataArray (x: 2, y: 4, quantile: 3)>
         array([[[0.7 , 1.  , 1.3 ],
                 [4.2 , 6.3 , 8.4 ],
                 [0.7 , 5.05, 9.4 ],
                 [1.5 , 4.2 , 6.9 ]],
-
                [[6.5 , 6.5 , 6.5 ],
                 [7.3 , 7.3 , 7.3 ],
                 [2.6 , 2.6 , 2.6 ],