numpy.matlib.
randn
Return a random matrix with data from the “standard normal” distribution.
randn generates a matrix filled with random floats sampled from a univariate “normal” (Gaussian) distribution of mean 0 and variance 1.
Shape of the output. If given as N integers, each integer specifies the size of one dimension. If given as a tuple, this tuple gives the complete shape.
A matrix of floating-point samples drawn from the standard normal distribution.
See also
rand, numpy.random.RandomState.randn
rand
numpy.random.RandomState.randn
Notes
For random samples from
System Message: WARNING/2 (N(\mu, \sigma^2))
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sigma * np.matlib.randn(...) + mu
Examples
>>> np.random.seed(123) >>> import numpy.matlib >>> np.matlib.randn(1) matrix([[-1.0856306]]) >>> np.matlib.randn(1, 2, 3) matrix([[ 0.99734545, 0.2829785 , -1.50629471], [-0.57860025, 1.65143654, -2.42667924]])
Two-by-four matrix of samples from
System Message: WARNING/2 (N(3, 6.25))
>>> 2.5 * np.matlib.randn((2, 4)) + 3 matrix([[1.92771843, 6.16484065, 0.83314899, 1.30278462], [2.76322758, 6.72847407, 1.40274501, 1.8900451 ]])
