DOC: Fixing more doc warnings (#26826)

Author: datapythonista

doc/source/reference/indexing.rst

@@ -190,6 +190,9 @@ Numeric Index
 .. autosummary::
    :toctree: api/
 
+   RangeIndex.start
+   RangeIndex.stop
+   RangeIndex.step
    RangeIndex.from_range
 
 .. _api.categoricalindex:

doc/source/reference/series.rst

@@ -473,6 +473,7 @@ strings and apply several methods to it. These can be accessed like
        Series.cat
        Series.dt
        Series.sparse
+       DataFrame.sparse
        Index.str
 
 .. _api.series.cat:

doc/source/user_guide/sparse.rst

@@ -77,6 +77,8 @@ A sparse array can be converted to a regular (dense) ndarray with :meth:`numpy.a
    np.asarray(sparr)
 
 
+.. _sparse.dtype:
+
 SparseDtype
 -----------
 

doc/source/whatsnew/v0.20.0.rst

@@ -1564,7 +1564,7 @@ Removal of prior version deprecations/changes
 
 - The ``pandas.rpy`` module is removed. Similar functionality can be accessed
   through the `rpy2 <https://rpy2.readthedocs.io/>`__ project.
-  See the :ref:`R interfacing docs <https://pandas.pydata.org/pandas-docs/version/0.20/r_interface.html>`__ for more details.
+  See the `R interfacing docs <https://pandas.pydata.org/pandas-docs/version/0.20/r_interface.html>`__ for more details.
 - The ``pandas.io.ga`` module with a ``google-analytics`` interface is removed (:issue:`11308`).
   Similar functionality can be found in the `Google2Pandas <https://github.com/panalysis/Google2Pandas>`__ package.
 - ``pd.to_datetime`` and ``pd.to_timedelta`` have dropped the ``coerce`` parameter in favor of ``errors`` (:issue:`13602`)

pandas/core/frame.py

@@ -6284,8 +6284,8 @@ def _gotitem(self,
     index (default) or the column axis. This behavior is different from
     `numpy` aggregation functions (`mean`, `median`, `prod`, `sum`, `std`,
     `var`), where the default is to compute the aggregation of the flattened
-    array, e.g., ``numpy.mean(arr_2d)`` as opposed to ``numpy.mean(arr_2d,
-    axis=0)``.
+    array, e.g., ``numpy.mean(arr_2d)`` as opposed to
+    ``numpy.mean(arr_2d, axis=0)``.
 
     `agg` is an alias for `aggregate`. Use the alias.
 

pandas/core/strings.py

@@ -2360,13 +2360,13 @@ def cat(self, others=None, sep=None, na_rep=None, join=None):
 
     See Also
     --------
-     Series.str.split : Split strings around given separator/delimiter.
-     Series.str.rsplit : Splits string around given separator/delimiter,
-     starting from the right.
-     Series.str.join : Join lists contained as elements in the Series/Index
-     with passed delimiter.
-     str.split : Standard library version for split.
-     str.rsplit : Standard library version for rsplit.
+    Series.str.split : Split strings around given separator/delimiter.
+    Series.str.rsplit : Splits string around given separator/delimiter,
+        starting from the right.
+    Series.str.join : Join lists contained as elements in the Series/Index
+        with passed delimiter.
+    str.split : Standard library version for split.
+    str.rsplit : Standard library version for rsplit.
 
     Notes
     -----
@@ -2383,7 +2383,12 @@ def cat(self, others=None, sep=None, na_rep=None, join=None):
     Examples
     --------
     >>> s = pd.Series(["this is a regular sentence",
-    "https://docs.python.org/3/tutorial/index.html", np.nan])
+    ...                "https://docs.python.org/3/tutorial/index.html",
+    ...                np.nan])
+    0                       this is a regular sentence
+    1    https://docs.python.org/3/tutorial/index.html
+    2                                              NaN
+    dtype: object
 
     In the default setting, the string is split by whitespace.
 
@@ -2434,7 +2439,6 @@ def cat(self, others=None, sep=None, na_rep=None, join=None):
     0                                           this    is     a  regular
     1  https://docs.python.org/3/tutorial/index.html  None  None     None
     2                                            NaN   NaN   NaN      NaN \
-
                  4
     0     sentence
     1         None

pandas/core/tools/datetimes.py

@@ -456,7 +456,7 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
         - If False returns ndarray of values.
 
         .. deprecated:: 0.25.0
-            Use :meth:`.to_numpy` or :meth:`Timestamp.to_datetime64`
+            Use :meth:`Series.to_numpy` or :meth:`Timestamp.to_datetime64`
             instead to get an ndarray of values or numpy.datetime64,
             respectively.
 

pandas/core/tools/timedeltas.py

@@ -44,7 +44,7 @@ def to_timedelta(arg, unit='ns', box=True, errors='raise'):
           values of dtype timedelta64[ns].
 
         .. deprecated:: 0.25.0
-            Use :meth:`.to_numpy` or :meth:`Timedelta.to_timedelta64`
+            Use :meth:`Series.to_numpy` or :meth:`Timedelta.to_timedelta64`
             instead to get an ndarray of values or numpy.timedelta64,
             respectively.