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

MultiIndex.ndim return the number of dimensions of the underlying data, by definition 1

MultiIndex.nbytes = None

MultiIndex.nlevels

MultiIndex.name = None

MultiIndex.names Names of levels in MultiIndex

MultiIndex.memory_usage(deep=False) [source] Memory usage of my values Parameters: deep : bool Introspect the data deeply, interrogate object dtypes for system-level memory consumption Returns: bytes used See also numpy.ndarray.nbytes Notes Memory usage does not include memory consumed by elements that are not components of the array if deep=False

MultiIndex.min() [source] The minimum value of the object

MultiIndex.max() [source] The maximum value of the object

MultiIndex.map(mapper) [source] Apply mapper function to its values. Parameters: mapper : callable Function to be applied. Returns: applied : array