MultiIndex.hasnans = None

MultiIndex.groupby(values) [source] Group the index labels by a given array of values. Parameters: values : array Values used to determine the groups. Returns: groups : dict {group name -> group labels}

MultiIndex.get_values() [source] return the underlying data as an ndarray

MultiIndex.get_value(series, key) [source]

MultiIndex.get_slice_bound(label, side, kind) [source]

MultiIndex.get_major_bounds(start=None, end=None, step=None, kind=None) [source] For an ordered MultiIndex, compute the slice locations for input labels. They can be tuples representing partial levels, e.g. for a MultiIndex with 3 levels, you can pass a single value (corresponding to the first level), or a 1-, 2-, or 3-tuple. Parameters: start : label or tuple, default None If None, defaults to the beginning end : label or tuple If None, defaults to the end step : int or None Slice st

MultiIndex.get_loc_level(key, level=0, drop_level=True) [source] Get integer location slice for requested label or tuple Parameters: key : label or tuple level : int/level name or list thereof Returns: loc : int or slice object

MultiIndex.get_locs(tup) [source] Given a tuple of slices/lists/labels/boolean indexer to a level-wise spec produce an indexer to extract those locations Parameters: key : tuple of (slices/list/labels) Returns: locs : integer list of locations or boolean indexer suitable for passing to iloc

MultiIndex.get_loc(key, method=None) [source] Get integer location, slice or boolean mask for requested label or tuple. If the key is past the lexsort depth, the return may be a boolean mask array, otherwise it is always a slice or int. Parameters: key : label or tuple method : None Returns: loc : int, slice object or boolean mask

MultiIndex.get_level_values(level) [source] Return vector of label values for requested level, equal to the length of the index Parameters: level : int or level name Returns: values : ndarray