numpy.random.mtrand.RandomState.randint — NumPy v1.17 Manual
numpy.random.mtrand.RandomState.randint¶ method RandomState.randint(low, high=None, size=None, dtype='l')¶ Return random integers from low (inclusive) to high (exclusive). Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval [low, high). If high is None (the default), then results are from [0, low). low : int or array-like of ints Lowes
Random sampling (numpy.random) — NumPy v1.16 Manual
Return a sample (or samples) from the “standard normal” distribution.
numpy.random.permutation — NumPy v1.16 Manual
numpy.random.permutation¶ numpy.random.permutation(x)¶ Randomly permute a sequence, or return a permuted range. If x is a multi-dimensional array, it is only shuffled along its first index. x : int or array_like If x is an integer, randomly permute np.arange(x). If x is an array, make a copy and shuffle the elements randomly. Parameters:
numpy.random.normal — NumPy v1.16 Manual
numpy.random.normal¶ numpy.random.normal(loc=0.0, scale=1.0, size=None)¶ Draw random samples from a normal (Gaussian) distribution. The probability density function of the normal distribution, first derived by De Moivre and 200 years later by both Gauss and Laplace independently [2], is often called the bell curve because of its characteristic shape (see the example below). The normal distribution
numpy.random.randn — NumPy v1.16 Manual
numpy.random.randn¶ numpy.random.randn(d0, d1, ..., dn)¶ Return a sample (or samples) from the “standard normal” distribution. If positive, int_like or int-convertible 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 (if any of the are floats, they are first con
numpy.random.randint — NumPy v1.16 Manual
numpy.random.randint¶ numpy.random.randint(low, high=None, size=None, dtype='l')¶ Return random integers from low (inclusive) to high (exclusive). Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval [low, high). If high is None (the default), then results are from [0, low). low : int Lowest (signed) integer to be drawn from the distrib
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