Fix docs

pandas/core/series.py

@@ -2882,7 +2882,7 @@ def sort_index(self, axis=0, level=None, ascending=True, inplace=False,
  Returns
  -------
  Series
- The original Series sorted by the labels
+ The original Series sorted by the labels.
 
  See Also
  --------
@@ -4126,18 +4126,18 @@ def from_csv(cls, path, sep=',', parse_dates=True, header=None,
  ----------
  path : str, file path, or file handle / StringIO
  sep : str, default ','
- Field delimiter
- parse_dates : boolean, default True
- Parse dates. Different default from read_table
+ Field delimiter.
+ parse_dates : bool, default True
+ Parse dates. Different default from read_table.
  header : int, default None
- Row to use as header (skip prior rows)
+ Row to use as header (skip prior rows).
  index_col : int or sequence, default 0
  Column to use for index. If a sequence is given, a MultiIndex
- is used. Different default from read_table
+ is used. Different default from read_table.
  encoding : str, optional
  A string representing the encoding to use if the contents are
  non-ascii, for python versions prior to 3.
- infer_datetime_format : boolean, default False
+ infer_datetime_format : bool, default False
  If True and `parse_dates` is True for a column, try to infer the
  datetime format based on the first datetime string. If the format
  can be inferred, there often will be a large parsing speed-up.