scipy.stats.CensoredData.interval_censored#
- classmethod CensoredData.interval_censored(low, high)[source]#
Create a
CensoredData
instance of interval-censored data.This method is useful when all the data is interval-censored, and the low and high ends of the intervals are already stored in separate one-dimensional arrays.
- Parameters:
- lowarray_like
The one-dimensional array containing the low ends of the intervals.
- higharray_like
The one-dimensional array containing the high ends of the intervals.
- Returns:
- data
CensoredData
An instance of
CensoredData
that represents the collection of censored values.
- data
Examples
>>> import numpy as np >>> from scipy.stats import CensoredData
a
andb
are the low and high ends of a collection of interval-censored values.>>> a = [0.5, 2.0, 3.0, 5.5] >>> b = [1.0, 2.5, 3.5, 7.0] >>> data = CensoredData.interval_censored(low=a, high=b) >>> print(data) CensoredData(4 values: 0 not censored, 4 interval-censored)