scipy.stats.CensoredData.
left_censored#
- classmethod CensoredData.left_censored(x, censored)[source]#
Create a
CensoredData
instance of left-censored data.- Parameters:
- xarray_like
x is the array of observed data or measurements. x must be a one-dimensional sequence of finite numbers.
- censoredarray_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 valuex[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.
- data
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)