DOC: bunch of docstring formatting fixes (sphinx warnings) (pandas-dev#26117)

Author: jorisvandenbossche

pandas/_libs/tslibs/nattype.pyx

@@ -512,8 +512,8 @@ class NaTType(_NaT):
             - 'raise' will raise an AmbiguousTimeError for an ambiguous time
 
             .. versionadded:: 0.24.0
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 
@@ -550,8 +550,8 @@ class NaTType(_NaT):
             - 'raise' will raise an AmbiguousTimeError for an ambiguous time
 
             .. versionadded:: 0.24.0
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 
@@ -584,8 +584,8 @@ class NaTType(_NaT):
             - 'raise' will raise an AmbiguousTimeError for an ambiguous time
 
             .. versionadded:: 0.24.0
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 
@@ -648,8 +648,8 @@ class NaTType(_NaT):
             - 'NaT' will return NaT for an ambiguous time
             - 'raise' will raise an AmbiguousTimeError for an ambiguous time
 
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 

pandas/_libs/tslibs/timestamps.pyx

@@ -455,8 +455,8 @@ class Timestamp(_Timestamp):
             - 'raise' will raise an AmbiguousTimeError for an ambiguous time
 
             .. versionadded:: 0.24.0
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 
@@ -497,8 +497,8 @@ class Timestamp(_Timestamp):
             - 'raise' will raise an AmbiguousTimeError for an ambiguous time
 
             .. versionadded:: 0.24.0
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 
@@ -533,8 +533,8 @@ class Timestamp(_Timestamp):
             - 'raise' will raise an AmbiguousTimeError for an ambiguous time
 
             .. versionadded:: 0.24.0
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 
@@ -786,8 +786,8 @@ class Timestamp(_Timestamp):
             - 'NaT' will return NaT for an ambiguous time
             - 'raise' will raise an AmbiguousTimeError for an ambiguous time
 
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 

pandas/_libs/tslibs/tzconversion.pyx

@@ -53,8 +53,8 @@ def tz_localize_to_utc(ndarray[int64_t] vals, object tz, object ambiguous=None,
         - bool if True, treat all vals as DST. If False, treat them as non-DST
         - 'NaT' will return NaT where there are ambiguous times
 
-    nonexistent : {None, "NaT", "shift_forward", "shift_backward", "raise",
-                   timedelta-like}
+    nonexistent : {None, "NaT", "shift_forward", "shift_backward", "raise", \
+timedelta-like}
         How to handle non-existent times when converting wall times to UTC
 
         .. versionadded:: 0.24.0

pandas/core/arrays/datetimelike.py

@@ -211,8 +211,8 @@ class TimelikeOps(object):
 
             .. versionadded:: 0.24.0
 
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 

pandas/core/arrays/datetimes.py

@@ -895,8 +895,8 @@ def tz_localize(self, tz, ambiguous='raise', nonexistent='raise',
             - 'raise' will raise an AmbiguousTimeError if there are ambiguous
               times
 
-        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta,
-                      default 'raise'
+        nonexistent : 'shift_forward', 'shift_backward, 'NaT', timedelta, \
+default 'raise'
             A nonexistent time does not exist in a particular timezone
             where clocks moved forward due to DST.
 

pandas/core/frame.py

@@ -6311,7 +6311,7 @@ def _gotitem(self,
 
     @Substitution(see_also=_agg_summary_and_see_also_doc,
                   examples=_agg_examples_doc,
-                  versionadded='.. versionadded:: 0.20.0',
+                  versionadded='\n.. versionadded:: 0.20.0\n',
                   **_shared_doc_kwargs)
     @Appender(_shared_docs['aggregate'])
     def aggregate(self, func, axis=0, *args, **kwargs):

pandas/core/groupby/generic.py

@@ -1534,7 +1534,8 @@ def nunique(self, dropna=True):
         ham    1       1       2
         spam   1       2       1
 
-        # check for rows with the same id but conflicting values
+        Check for rows with the same id but conflicting values:
+
         >>> df.groupby('id').filter(lambda g: (g.nunique() > 1).any())
              id  value1 value2
         0  spam       1      a

pandas/core/series.py

@@ -3514,7 +3514,7 @@ def _gotitem(self, key, ndim, subset=None):
 
     @Substitution(see_also=_agg_see_also_doc,
                   examples=_agg_examples_doc,
-                  versionadded='.. versionadded:: 0.20.0',
+                  versionadded='\n.. versionadded:: 0.20.0\n',
                   **_shared_doc_kwargs)
     @Appender(generic._shared_docs['aggregate'])
     def aggregate(self, func, axis=0, *args, **kwargs):

pandas/core/window.py

@@ -2128,8 +2128,7 @@ class EWM(_Rolling):
         :math:`\alpha = 2 / (span + 1),\text{ for } span \geq 1`.
     halflife : float, optional
         Specify decay in terms of half-life,
-        :math:`\alpha = 1 - exp(log(0.5) / halflife),\text{ for }
-            halflife > 0`.
+        :math:`\alpha = 1 - exp(log(0.5) / halflife),\text{for} halflife > 0`.
     alpha : float, optional
         Specify smoothing factor :math:`\alpha` directly,
         :math:`0 < \alpha \leq 1`.

pandas/io/parsers.py

@@ -727,7 +727,7 @@ def parser_f(filepath_or_buffer: FilePathOrBuffer,
                       summary="""Read general delimited file into DataFrame.
 
 .. deprecated:: 0.24.0
-Use :func:`pandas.read_csv` instead, passing ``sep='\\t'`` if necessary.""",
+  Use :func:`pandas.read_csv` instead, passing ``sep='\\t'`` if necessary.""",
                       _default_sep=r"'\\t' (tab-stop)")
                       )(read_table)
 

pandas/io/sql.py

@@ -188,7 +188,6 @@ def read_sql_table(table_name, con, schema=None, index_col=None,
         Attempts to convert values of non-string, non-numeric objects (like
         decimal.Decimal) to floating point. Can result in loss of Precision.
     parse_dates : list or dict, default None
-        The behavior is as follows:
         - List of column names to parse as dates.
         - Dict of ``{column_name: format string}`` where format string is
           strftime compatible in case of parsing string times or is one of

pandas/plotting/_core.py

@@ -2088,15 +2088,15 @@ def plot_series(data, kind='line', ax=None,                    # Series unique
     -----
     The return type depends on the `return_type` parameter:
 
-        * 'axes' : object of class matplotlib.axes.Axes
-        * 'dict' : dict of matplotlib.lines.Line2D objects
-        * 'both' : a namedtuple with structure (ax, lines)
+    * 'axes' : object of class matplotlib.axes.Axes
+    * 'dict' : dict of matplotlib.lines.Line2D objects
+    * 'both' : a namedtuple with structure (ax, lines)
 
-        For data grouped with ``by``:
+    For data grouped with ``by``, return a Series of the above or a numpy
+    array:
 
-        * :class:`~pandas.Series`
-        * :class:`~numpy.array` (for ``return_type = None``)
-        Return Series or numpy.array.
+    * :class:`~pandas.Series`
+    * :class:`~numpy.array` (for ``return_type = None``)
 
     Use ``return_type='dict'`` when you want to tweak the appearance
     of the lines after plotting. In this case a dict containing the Lines