`scipy.stats._censored_data:CensoredData.interval_censored`

source: /scipy/stats/_censored_data.py :385

Summary

Create a CensoredData instance of interval-censored data.

Extended Summary

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

low : array_like: The one-dimensional array containing the low ends of the intervals.
high : array_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.

Examples

import numpy as np
from scipy.stats import CensoredData

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``a`` and ``b`` 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)

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Aliases

scipy.stats.CensoredData.interval_censored