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NormalDist.samples

  • NormalDist.samples(n, *, seed=None)
Generate *n* samples for a given mean and standard deviation.
Changed in 3.13
  • 3.13:
1 Example
>>> def model(x, y, z):
...     return (3*x + 7*x*y - 5*y) / (11 * z)
...
>>> n = 100_000
>>> X = NormalDist(10, 2.5).samples(n, seed=3652260728)
>>> Y = NormalDist(15, 1.75).samples(n, seed=4582495471)
>>> Z = NormalDist(50, 1.25).samples(n, seed=6582483453)
>>> quantiles(map(model, X, Y, Z))
[1.4591308524824727, 1.8035946855390597, 2.175091447274739]
from the Python docs
See Also
No see-alsos for statistics/NormalDist.samples
0 Notes
No notes for NormalDist.samples