CategoricalIndex.str() [source] Vectorized string functions for Series and Index. NAs stay NA unless handled otherwise by a particular method. Patterned after Python?s string methods, with some inspiration from R?s stringr package. Examples >>> s.str.split('_') >>> s.str.replace('_', '')

CategoricalIndex.sort_values(return_indexer=False, ascending=True) [source] Return sorted copy of Index

CategoricalIndex.sortlevel(level=None, ascending=True, sort_remaining=None) [source] For internal compatibility with with the Index API Sort the Index. This is for compat with MultiIndex Parameters: ascending : boolean, default True False to sort in descending order level, sort_remaining are compat parameters Returns: sorted_index : Index

CategoricalIndex.slice_indexer(start=None, end=None, step=None, kind=None) [source] For an ordered Index, compute the slice indexer for input labels and step Parameters: start : label, default None If None, defaults to the beginning end : label, default None If None, defaults to the end step : int, default None kind : string, default None Returns: indexer : ndarray or slice Notes This function assumes that the data is sorted, so use at your own peril

CategoricalIndex.sort(*args, **kwargs) [source]

CategoricalIndex.slice_locs(start=None, end=None, step=None, kind=None) [source] Compute slice locations for input labels. Parameters: start : label, default None If None, defaults to the beginning end : label, default None If None, defaults to the end step : int, defaults None If None, defaults to 1 kind : {?ix?, ?loc?, ?getitem?} or None Returns: start, end : int

CategoricalIndex.shape return a tuple of the shape of the underlying data

CategoricalIndex.shift(periods=1, freq=None) [source] Shift Index containing datetime objects by input number of periods and DateOffset Returns: shifted : Index

CategoricalIndex.size return the number of elements in the underlying data

CategoricalIndex.set_value(arr, key, value) [source] Fast lookup of value from 1-dimensional ndarray. Only use this if you know what you?re doing