numpy.random.randint() function with example in python
This function 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).
Syntax: numpy.random.randint(low, high=None, size=None, dtype=’l’)
low : int
Lowest (signed) integer to be drawn from the distribution (unless high=None, in which case this parameter is one above 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’.
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.
#example program on numpy.random.randint() function
import numpy as np print(np.random.randint(10, size=10)) print(np.random.randint(5, size=(2,5)))
[5 2 5 4 9 2 3 2 3 1]
[[0 1 0 0 3]
[1 3 1 4 1]]