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scipy.stats.CensoredData.

# interval_censored

classmethod CensoredData.interval_censored(low, high)

  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.

  Examples

      >>> import numpy as np
      >>> from scipy.stats import CensoredData

  `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)
      CensoredData(4 values: 0 not censored, 4 interval-censored)