bundles / numpy 2.4.3 / numpy / random / RandomState / randn
cython_function_or_method
numpy.random:RandomState.randn
Summary
Return a sample (or samples) from the "standard normal" distribution.
Extended Summary
If positive int_like arguments are provided, randn generates an array of shape (d0, d1, ..., dn), filled with random floats sampled from a univariate "normal" (Gaussian) distribution of mean 0 and variance 1. A single float randomly sampled from the distribution is returned if no argument is provided.
Parameters
d0, d1, ..., dn: int, optionalThe dimensions of the returned array, must be non-negative. If no argument is given a single Python float is returned.
Returns
Z: ndarray or floatA
(d0, d1, ..., dn)-shaped array of floating-point samples from the standard normal distribution, or a single such float if no parameters were supplied.
Notes
For random samples from the normal distribution with mean mu and standard deviation sigma, use
sigma * np.random.randn(...) + muExamples
np.random.randn()
✗3 + 2.5 * np.random.randn(2, 4)
✗See also
- normal
Also accepts mu and sigma arguments.
- random.Generator.standard_normal
which should be used for new code.
- standard_normal
Similar, but takes a tuple as its argument.
Aliases
-
numpy.random.randn -
numpy.random.RandomState.randn