scipy.stats.CensoredData.
right_censored#
- classmethod CensoredData.right_censored(x, censored)[source]#
- Create a - CensoredDatainstance of right-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 right-censored. That is, the value- x[k]is the lower bound of the true (but unknown) value.
 
- Returns:
- dataCensoredData
- An instance of - CensoredDatathat represents the collection of uncensored and right-censored values.
 
- data
 - Examples - >>> from scipy.stats import CensoredData - Two uncensored values (4 and 10) and two right-censored values (24 and 25). - >>> data = CensoredData.right_censored([4, 10, 24, 25], ... [False, False, True, True]) >>> data CensoredData(uncensored=array([ 4., 10.]), left=array([], dtype=float64), right=array([24., 25.]), interval=array([], shape=(0, 2), dtype=float64)) >>> print(data) CensoredData(4 values: 2 not censored, 2 right-censored)