@@ -2967,7 +2967,7 @@ def nunique(self, axis=0, dropna=True):
29672967 observations over requested axis.
29682968
29692969 Args:
2970- axis : {0 or ‘ index’ , 1 or ‘ columns’ }, default 0
2970+ axis : {0 or ' index' , 1 or ' columns' }, default 0
29712971 dropna : boolean, default True
29722972
29732973 Returns:
@@ -3228,7 +3228,7 @@ def rank(self, axis=0, method='average', numeric_only=None,
32283228 Args:
32293229 axis (int): 0 or 'index' for row-wise,
32303230 1 or 'columns' for column-wise
3231- interpolation: {‘ average’, ‘ min’, ‘ max’, ‘ first’, ‘ dense’ }
3231+ interpolation: {' average', ' min', ' max', ' first', ' dense' }
32323232 Specifies which method to use for equal vals
32333233 numeric_only (boolean)
32343234 Include only float, int, boolean data.
@@ -3539,7 +3539,7 @@ def sample(self, n=None, frac=None, replace=False, weights=None,
35393539 Default = 1 if frac = None.
35403540 frac: Fraction of axis items to return. Cannot be used with n.
35413541 replace: Sample with or without replacement. Default = False.
3542- weights: Default ‘ None’ results in equal probability weighting.
3542+ weights: Default ' None' results in equal probability weighting.
35433543 If passed a Series, will align with target object on index.
35443544 Index values in weights not found in sampled object will be
35453545 ignored and index values in sampled object not in weights will
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