Index.searchsorted(key, side='left', sorter=None) [source] Find indices where elements should be inserted to maintain order. Find the indices into a sorted IndexOpsMixin self such that, if the corresponding elements in v were inserted before the indices, the order of self would be preserved. Parameters: key : array_like Values to insert into self. side : {?left?, ?right?}, optional If ?left?, the index of the first suitable location found is given. If ?right?, return the last such index

Index.reshape(*args, **kwargs) [source] NOT IMPLEMENTED: do not call this method, as reshaping is not supported for Index objects and will raise an error. Reshape an Index.

Index.repeat(n, *args, **kwargs) [source] Repeat elements of an Index. Refer to numpy.ndarray.repeat for more information about the n argument. See also numpy.ndarray.repeat

Index.rename(name, inplace=False) [source] Set new names on index. Defaults to returning new index. Parameters: name : str or list name to set inplace : bool if True, mutates in place Returns: new index (of same type and class...etc) [if inplace, returns None]

Index.reindex(target, method=None, level=None, limit=None, tolerance=None) [source] Create index with target?s values (move/add/delete values as necessary) Parameters: target : an iterable Returns: new_index : pd.Index Resulting index indexer : np.ndarray or None Indices of output values in original index

Index.ravel(order='C') [source] return an ndarray of the flattened values of the underlying data See also numpy.ndarray.ravel

Index.putmask(mask, value) [source] return a new Index of the values set with the mask See also numpy.ndarray.putmask

Index.order(return_indexer=False, ascending=True) [source] Return sorted copy of Index DEPRECATED: use Index.sort_values()

Index.nunique(dropna=True) [source] Return number of unique elements in the object. Excludes NA values by default. Parameters: dropna : boolean, default True Don?t include NaN in the count. Returns: nunique : int

Index.nlevels