Top level functions

register_accessors()	When called this function will register the "piso" ArrayAccessor on pandas.IntervalIndex and pandas.arrays.IntervalArray.
union(interval_array, *interval_arrays[, ...])	Performs a set union operation.
intersection(interval_array, *interval_arrays)	Performs a set intersection operation.
difference(interval_array, *interval_arrays)	Performs a set difference operation.
symmetric_difference(interval_array, ...[, ...])	Performs a set symmetric difference operation.
isdisjoint(interval_array, *interval_arrays)	Indicates whether one, or more, sets are disjoint or not.
issuperset(interval_array, *interval_arrays)	Indicates whether a set is a superset of one, or more, other sets.
issubset(interval_array, *interval_arrays[, ...])	Indicates whether a set is a subset of one, or more, other sets.
coverage(interval_array[, domain, bins, how])	Calculates the fraction of a domain (or possibly multiple domains) covered by a collection of intervals.
complement(interval_array[, domain])	Calculates the complement of a collection of intervals (in an array) over some domain.
contains(interval_array, x[, include_index, ...])	Evaluates the intersection of a set of intervals with a set of points.
split(interval_array, x)	Given a set of intervals, and break points, splits the intervals into pieces wherever the overlap a break point.
bridge(interval_array, threshold)	Given a set of intervals, and a threshold, merges intervals which are separated by a gap less than or equal to the threshold.
lookup(frame_or_series, x)	Given a pandas.DataFrame, or pandas.Series, indexed by a pandas.IntervalIndex, finds the intervals which contain each point in an array and returns the associated rows/elements.
join(*frames_or_series[, how, suffixes, sort])	Joins multiple dataframes or series by their pandas.IntervalIndex.
adjacency_matrix(interval_array, ...[, ...])	Returns a 2D array (or dataframe) of boolean values indicating edges between nodes in a graph.