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# scipy.stats.CensoredData.left_censored

classmethod CensoredData.left_censored(x, censored)

  Create a `CensoredData` instance of left-censored data.

  Parameters:
    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.

  Returns:
    data `CensoredData`

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

  Examples

      >>> from scipy.stats import CensoredData

  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])
      >>> data
      CensoredData(uncensored=array([0.12 , 0.033]),
      left=array([0.001, 0.001]), right=array([], dtype=float64),
      interval=array([], shape=(0, 2), dtype=float64))
      >>> print(data)
      CensoredData(4 values: 2 not censored, 2 left-censored)