numpy.matlib.randn#
- matlib.randn(*args)[source]#
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.- Parameters
- *argsArguments
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.
- Returns
- Zmatrix of floats
A matrix of floating-point samples drawn from the standard normal distribution.
See also
Notes
For random samples from \(N(\mu, \sigma^2)\), use:
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 \(N(3, 6.25)\):
>>> 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 ]])