scipy.stats.sampling.FastGeneratorInversion.
support#
- FastGeneratorInversion.support()[source]#
- Support of the distribution. - Returns:
- a, bfloat
- end-points of the distribution’s support. 
 
 - Notes - Note that the support of the distribution depends on - loc,- scaleand domain.- Examples - >>> from scipy import stats >>> from scipy.stats.sampling import FastGeneratorInversion - Define a truncated normal distribution: - >>> d_norm = FastGeneratorInversion(stats.norm(), domain=(0, 1)) >>> d_norm.support() (0, 1) - Shift the distribution: - >>> d_norm.loc = 2.5 >>> d_norm.support() (2.5, 3.5)