pandas.Series.interval#

Series.interval()[source]#

Accessor object for interval properties of the Series values.

Provides the endpoints, midpoints and lengths of the intervals, and elementwise checks for containment and overlap, each returned as a Series aligned with the original. A categorical Series with interval categories, such as the result of cut(), is also supported.

Parameters:

dataSeries: The Series with interval or interval-categorical dtype to which the accessor is attached.

See also

arrays.IntervalArray: Pandas array for interval data.
Series.cat: Accessor object for categorical properties of the Series values.
Series.dt: Accessor object for datetimelike properties of the Series values.

Examples

>>> ser = pd.Series(pd.arrays.IntervalArray.from_breaks([0, 1, 3, 6]))
>>> ser.interval.mid
0    0.5
1    2.0
2    4.5
dtype: float64

>>> ser.interval.contains(2)
0    False
1     True
2    False
dtype: bool