scipy.stats.sampling.FastGeneratorInversion.

support

FastGeneratorInversion.support()

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, scale and domain.

Examples

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>>> 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)

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