`scipy.stats._censored_data:CensoredData.right_censored`

Summary

Create a CensoredData instance of right-censored data.

x : array_like: x is the array of observed data or measurements. x must be a one-dimensional sequence of finite numbers.
censored : array_like of bool: censored must be a one-dimensional sequence of boolean values. If censored[k] is True, the corresponding value in x is right-censored. That is, the value x[k] is the lower bound of the true (but unknown) value.

data : `CensoredData`: An instance of CensoredData that represents the collection of uncensored and right-censored values.

from scipy.stats import CensoredData

✓

Two uncensored values (4 and 10) and two right-censored values (24 and 25).

data = CensoredData.right_censored([4, 10, 24, 25],
                                   [False, False, True, True])

✓

data

✗

CensoredData(uncensored=array([ 4., 10.]), left=array([], dtype=float64), right=array([24., 25.]), interval=array([], shape=(0, 2), dtype=float64))

print(data)

✓

CensoredData(4 values: 2 not censored, 2 right-censored)