@@ -3635,14 +3635,17 @@ def replace(self, to_replace=None, value=None, inplace=False, limit=None,
36353635 require that you also specify an `order` (int),
36363636 e.g. df.interpolate(method='polynomial', order=4).
36373637 These use the actual numerical values of the index.
3638- * 'krogh', 'piecewise_polynomial', 'spline', 'pchip' and 'akima' are all
3639- wrappers around the scipy interpolation methods of similar
3640- names. These use the actual numerical values of the index. See
3641- the scipy documentation for more on their behavior
3642- `here <http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`__ # noqa
3643- `and here <http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`__ # noqa
3638+ * 'krogh', 'piecewise_polynomial', 'spline', 'pchip' and 'akima'
3639+ are all wrappers around the scipy interpolation methods of
3640+ similar names. These use the actual numerical values of the
3641+ index. For more information on their behavior, see the
3642+ `scipy documentation
3643+ <http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`__
3644+ and `tutorial documentation
3645+ <http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`__
36443646 * 'from_derivatives' refers to BPoly.from_derivatives which
3645- replaces 'piecewise_polynomial' interpolation method in scipy 0.18
3647+ replaces 'piecewise_polynomial' interpolation method in
3648+ scipy 0.18
36463649
36473650 .. versionadded:: 0.18.1
36483651
@@ -3656,7 +3659,7 @@ def replace(self, to_replace=None, value=None, inplace=False, limit=None,
36563659 * 1: fill row-by-row
36573660 limit : int, default None.
36583661 Maximum number of consecutive NaNs to fill.
3659- limit_direction : {'forward', 'backward', 'both'}, defaults to 'forward'
3662+ limit_direction : {'forward', 'backward', 'both'}, default 'forward'
36603663 If limit is specified, consecutive NaNs will be filled in this
36613664 direction.
36623665
@@ -4159,6 +4162,9 @@ def resample(self, rule, how=None, axis=0, fill_method=None, closed=None,
41594162
41604163 .. versionadded:: 0.19.0
41614164
4165+ Notes
4166+ -----
4167+
41624168 To learn more about the offset strings, please see `this link
41634169 <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
41644170
@@ -4346,7 +4352,7 @@ def rank(self, axis=0, method='average', numeric_only=None,
43464352
43474353 Parameters
43484354 ----------
4349- axis: {0 or 'index', 1 or 'columns'}, default 0
4355+ axis : {0 or 'index', 1 or 'columns'}, default 0
43504356 index to direct ranking
43514357 method : {'average', 'min', 'max', 'first', 'dense'}
43524358 * average: average rank of group
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