Indicates if an interval is empty, meaning it contains no points.
A boolean indicating if a scalar Interval is empty, or a boolean ndarray positionally indicating if an Interval in an IntervalArray or IntervalIndex is empty.
Examples
An Interval that contains points is not empty:
>>> pd.Interval(0, 1, closed='right').is_empty False
An Interval that does not contain any points is empty:
>>> pd.Interval(0, 0, closed='right').is_empty True >>> pd.Interval(0, 0, closed='left').is_empty True >>> pd.Interval(0, 0, closed='neither').is_empty True
An Interval that contains a single point is not empty:
>>> pd.Interval(0, 0, closed='both').is_empty False
An IntervalArray or IntervalIndex returns a boolean ndarray positionally indicating if an Interval is empty:
>>> ivs = [pd.Interval(0, 0, closed='neither'), ... pd.Interval(1, 2, closed='neither')] >>> pd.arrays.IntervalArray(ivs).is_empty array([ True, False])
Missing values are not considered empty:
>>> ivs = [pd.Interval(0, 0, closed='neither'), np.nan] >>> pd.IntervalIndex(ivs).is_empty array([ True, False])
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