pynapple.core.interval_set.IntervalSet.__init__#

IntervalSet.__init__(start, end=None, time_units='s')[source]#

If start and end are not aligned, meaning that: 1. len(start) != len(end) 2. end[i] > start[i] 3. start[i+1] > end[i] 4. start and end are not sorted,

IntervalSet will try to “fix” the data by eliminating some of the start and end data points.

Parameters:

  • start (numpy.ndarray or number or pandas.DataFrame or pandas.Series or iterable of (start, end) pairs) –

    Beginning of intervals. Alternatively, the end argument can be left out and start can be one of the following:

    • IntervalSet

    • pandas.DataFrame with columns [“start”, “end”]

    • iterable of (start, end) pairs

    • a single (start, end) pair

  • end (numpy.ndarray or number or pandas.Series, optional) – Ends of intervals.

  • time_units (str, optional) – Time unit of the intervals (‘us’, ‘ms’, ‘s’ [default]).

Raises:

RuntimeError – If start and end arguments are of unknown type.