CategoricalIndex.as_ordered(*args, **kwargs) [source] Sets the Categorical to be ordered Parameters: inplace : boolean (default: False) Whether or not to set the ordered attribute inplace or return a copy of this categorical with ordered set to True

CategoricalIndex.astype(dtype, copy=True) [source] Create an Index with values cast to dtypes. The class of a new Index is determined by dtype. When conversion is impossible, a ValueError exception is raised. Parameters: dtype : numpy dtype or pandas type copy : bool, default True By default, astype always returns a newly allocated object. If copy is set to False and internal requirements on dtype are satisfied, the original data is used to create a new Index or the original Index is retu

CategoricalIndex.asof_locs(where, mask) [source] where : array of timestamps mask : array of booleans where data is not NA

CategoricalIndex.asof(label) [source] For a sorted index, return the most recent label up to and including the passed label. Return NaN if not found. See also get_loc asof is a thin wrapper around get_loc with method=?pad?

CategoricalIndex.asi8 = None

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

CategoricalIndex.argmin(axis=None) [source] return a ndarray of the minimum argument indexer See also numpy.ndarray.argmin

CategoricalIndex.argmax(axis=None) [source] return a ndarray of the maximum argument indexer See also numpy.ndarray.argmax

CategoricalIndex.append(other) [source] Append a collection of Index options together Parameters: other : Index or list/tuple of indices Returns: appended : Index

CategoricalIndex.any(other=None) [source]