@@ -3639,8 +3639,8 @@ def replace(self, to_replace=None, value=None, inplace=False, limit=None,
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wrappers around the scipy interpolation methods of similar
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names. These use the actual numerical values of the index. See
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the scipy documentation for more on their behavior
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- `here <http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`__ # noqa
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- `and here <http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`__ # noqa
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+ `here <http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`__
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+ `and here <http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`__
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* 'from_derivatives' refers to BPoly.from_derivatives which
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replaces 'piecewise_polynomial' interpolation method in scipy 0.18
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@@ -4159,6 +4159,9 @@ def resample(self, rule, how=None, axis=0, fill_method=None, closed=None,
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.. versionadded:: 0.19.0
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+ Notes
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+ -----
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+
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To learn more about the offset strings, please see `this link
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<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
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@@ -4346,7 +4349,7 @@ def rank(self, axis=0, method='average', numeric_only=None,
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Parameters
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----------
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- axis: {0 or 'index', 1 or 'columns'}, default 0
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+ axis : {0 or 'index', 1 or 'columns'}, default 0
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index to direct ranking
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method : {'average', 'min', 'max', 'first', 'dense'}
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* average: average rank of group
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