scipy.stats.CensoredData.
interval_censored#
- classmethod CensoredData.interval_censored(low, high)[source]#
- Create a - CensoredDatainstance 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:
- dataCensoredData
- An instance of - CensoredDatathat represents the collection of censored values.
 
- data
 - Examples - >>> import numpy as np >>> from scipy.stats import CensoredData - aand- bare 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)