numpy.random.mtrand.RandomState.randint
method
-
RandomState.randint(low, high=None, size=None, dtype='l')
-
Return random integers from
low
(inclusive) tohigh
(exclusive).Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval [
low
,high
). Ifhigh
is None (the default), then results are from [0,low
).Parameters: -
low : int or array-like of ints
-
Lowest (signed) integers to be drawn from the distribution (unless
high=None
, in which case this parameter is one above the highest such integer). -
high : int or array-like of ints, optional
-
If provided, one above the largest (signed) integer to be drawn from the distribution (see above for behavior if
high=None
). If array-like, must contain integer values -
size : int or tuple of ints, optional
-
Output shape. If the given shape is, e.g.,
(m, n, k)
, thenm * 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 ifsize
not provided.
See also
-
random.random_integers
- similar to
randint
, only for the closed interval [low
,high
], and 1 is the lowest value ifhigh
is omitted.
Examples
>>> np.random.randint(2, size=10) array([1, 0, 0, 0, 1, 1, 0, 0, 1, 0]) # random >>> 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], # random [3, 2, 2, 0]])
Generate a 1 x 3 array with 3 different upper bounds
>>> np.random.randint(1, [3, 5, 10]) array([2, 2, 9]) # random
Generate a 1 by 3 array with 3 different lower bounds
>>> np.random.randint([1, 5, 7], 10) array([9, 8, 7]) # random
Generate a 2 by 4 array using broadcasting with dtype of uint8
>>> np.random.randint([1, 3, 5, 7], [[10], [20]], dtype=np.uint8) array([[ 8, 6, 9, 7], # random [ 1, 16, 9, 12]], dtype=uint8)
-
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Licensed under the 3-clause BSD License.
https://docs.scipy.org/doc/numpy-1.17.0/reference/random/generated/numpy.random.mtrand.RandomState.randint.html