silence more sphinx warnings

Author: keewis

doc/whats-new.rst

@@ -229,7 +229,7 @@ Documentation
   (pull:`3331`, pull:`3331`). By `Justus Magin <https://github.com/keewis>`_.
 - Add examples for :py:meth:`align`, :py:meth:`merge`, :py:meth:`combine_by_coords`,
   :py:meth:`full_like`, :py:meth:`zeros_like`, :py:meth:`ones_like`, :py:meth:`Dataset.pipe`,
-  :py:meth:`Dataset.assign`, :py:meth:`Dataset.reindex`, :py:meth:`Dataset.fillna` (pull:`3328`).
+  :py:meth:`Dataset.assign`, :py:meth:`Dataset.reindex`, :py:meth:`Dataset.fillna` (:pull:`3328`).
   By `Anderson Banihirwe <https://github.com/andersy005>`_.
 - Fixed documentation to clean up an unwanted file created in ``ipython`` example
   (:pull:`3353`). By `Gregory Gundersen <https://github.com/gwgundersen/>`_.

xarray/backends/api.py

@@ -735,7 +735,7 @@ def open_mfdataset(
     Parameters
     ----------
     paths : str or sequence
-        Either a string glob in the form "path/to/my/files/*.nc" or an explicit list of
+        Either a string glob in the form ``"path/to/my/files/*.nc"`` or an explicit list of
         files to open. Paths can be given as strings or as pathlib Paths. If
         concatenation along more than one dimension is desired, then ``paths`` must be a
         nested list-of-lists (see ``manual_combine`` for details). (A string glob will

xarray/core/dataarray.py

@@ -1314,7 +1314,7 @@ def interp(
             values.
         kwargs: dictionary
             Additional keyword passed to scipy's interpolator.
-        **coords_kwarg : {dim: coordinate, ...}, optional
+        ``**coords_kwarg`` : {dim: coordinate, ...}, optional
             The keyword arguments form of ``coords``.
             One of coords or coords_kwargs must be provided.
 
@@ -2028,9 +2028,10 @@ def interpolate_na(
         ----------
         dim : str
             Specifies the dimension along which to interpolate.
-        method : {'linear', 'nearest', 'zero', 'slinear', 'quadratic', 'cubic',
-                  'polynomial', 'barycentric', 'krog', 'pchip',
-                  'spline', 'akima'}, optional
+        method : {'linear', 'nearest', 'zero', 'slinear', 'quadratic',
+                'cubic', 'polynomial', 'barycentric', 'krog', 'pchip',
+                'spline', 'akima'}, optional
+
             String indicating which method to use for interpolation:
 
             - 'linear': linear interpolation (Default). Additional keyword
@@ -3041,8 +3042,8 @@ def integrate(
             Coordinate(s) used for the integration.
         datetime_unit: str, optional
             Can be used to specify the unit if datetime coordinate is used.
-            One of {'Y', 'M', 'W', 'D', 'h', 'm', 's', 'ms', 'us', 'ns',
-                    'ps', 'fs', 'as'}
+            One of {'Y', 'M', 'W', 'D', 'h', 'm', 's', 'ms', 'us', 'ns', 'ps',
+            'fs', 'as'}
 
         Returns
         -------

xarray/core/dataset.py

@@ -1499,7 +1499,7 @@ def to_netcdf(
             Nested dictionary with variable names as keys and dictionaries of
             variable specific encodings as values, e.g.,
             ``{'my_variable': {'dtype': 'int16', 'scale_factor': 0.1,
-                               'zlib': True}, ...}``
+            'zlib': True}, ...}``
 
             The `h5netcdf` engine supports both the NetCDF4-style compression
             encoding parameters ``{'zlib': True, 'complevel': 9}`` and the h5py
@@ -2117,7 +2117,7 @@ def thin(
             A dict with keys matching dimensions and integer values `n`
             or a single integer `n` applied over all dimensions.
             One of indexers or indexers_kwargs must be provided.
-        **indexers_kwargs : {dim: n, ...}, optional
+        ``**indexers_kwargs`` : {dim: n, ...}, optional
             The keyword arguments form of ``indexers``.
             One of indexers or indexers_kwargs must be provided.
 

xarray/core/groupby.py

@@ -687,9 +687,9 @@ def map(self, func, shortcut=False, args=(), **kwargs):
             If these conditions are satisfied `shortcut` provides significant
             speedup. This should be the case for many common groupby operations
             (e.g., applying numpy ufuncs).
-        args : tuple, optional
+        ``*args`` : tuple, optional
             Positional arguments passed to `func`.
-        **kwargs
+        ``**kwargs``
             Used to call `func(ar, **kwargs)` for each array `ar`.
 
         Returns

xarray/plot/plot.py

@@ -269,7 +269,7 @@ def line(
         if None, use the default for the matplotlib function.
     add_legend : boolean, optional
         Add legend with y axis coordinates (2D inputs only).
-    *args, **kwargs : optional
+    ``*args``, ``**kwargs`` : optional
         Additional arguments to matplotlib.pyplot.plot
     """
     # Handle facetgrids first