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).

Parameters:

Parameters:	low : int Lowest (signed) integer to be drawn from the distribution (unless `high=None`, in which case this parameter is the highest such integer). high : int, optional If provided, one above the largest (signed) integer to be drawn from the distribution (see above for behavior if `high=None`). size : int or tuple of ints, optional Output shape. If the given shape is, e.g., `(m, n, k)`, then `m * n * k` samples are drawn. Default is None, in which case a single value is returned. 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 `size`-shaped array of random integers from the appropriate distribution, or a single such random int if `size` not provided.

low : int

Lowest (signed) integer to be drawn from the distribution (unless high=None, in which case this parameter is the highest such integer).

high : int, optional

If provided, one above the largest (signed) integer to be drawn from the distribution (see above for behavior if high=None).

size : int or tuple of ints, optional

Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. Default is None, in which case a single value is returned.

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

size-shaped array of random integers from the appropriate distribution, or a single such random int if size not provided.

Examples

>>> 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]])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.random.randint.html

doc_NumPy

2017-01-10 18:18:10

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