`scipy.stats._censored_data:CensoredData.left_censored`

Summary

Create a CensoredData instance of left-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 left-censored. That is, the value x[k] is the upper bound of the true (but unknown) value.

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

from scipy.stats import CensoredData

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Two uncensored values (0.12 and 0.033) and two left-censored values (both 1e-3).

data = CensoredData.left_censored([0.12, 0.033, 1e-3, 1e-3],
                                  [False, False, True, True])

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data

✗

print(data)

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