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 “halfopen” interval [low
, high
). If high
is None (the default), then results are from [0, low
).
Parameters: 
low : int Lowest (signed) integer to be drawn from the distribution (unless high : int, optional If provided, one above the largest (signed) integer to be drawn from the distribution (see above for behavior if size : int or tuple of ints, optional Output shape. If the given shape is, e.g., dtype : dtype, optional Desired dtype of the result. All dtypes are determined by their name, i.e., ‘int64’, ‘int’, etc, so byteorder is not available and a specific precision may have different C types depending on the platform. The default value is ‘np.int’. New in version 1.11.0. 

Returns: 
out : int or ndarray of ints

See also
random.random_integers
randint
, only for the closed interval [low
, high
], and 1 is the lowest value if high
is omitted. In particular, this other one is the one to use to generate uniformly distributed discrete nonintegers.>>> np.random.randint(2, size=10) array([1, 0, 0, 0, 1, 1, 0, 0, 1, 0]) >>> np.random.randint(1, size=10) array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
Generate a 2 x 4 array of ints between 0 and 4, inclusive:
>>> np.random.randint(5, size=(2, 4)) array([[4, 0, 2, 1], [3, 2, 2, 0]])
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Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy1.14.2/reference/generated/numpy.random.randint.html