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.

参见

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

只包含一个点的“区间”不是空的：

>>> pd.Interval(0, 0, closed='both').is_empty
False

IntervalArray 或 IntervalIndex 返回一个布尔 ndarray，指示“区间”是否为空：

>>> ivs = [pd.Interval(0, 0, closed='neither'),
...        pd.Interval(1, 2, closed='neither')]
>>> pd.arrays.IntervalArray(ivs).is_empty
array([ True, False])

缺失值不被视为空：

>>> ivs = [pd.Interval(0, 0, closed='neither'), np.nan]
>>> pd.IntervalIndex(ivs).is_empty
array([ True, False])