pandas.arrays.IntervalArray.is_empty

IntervalArray.is_empty

Indicates if an interval is empty, meaning it contains no points.

Returns

bool or ndarray

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.

See also

Interval.length

Return the length of the Interval.

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])