NumPy provides uniform() function to generate uniformly distributed random numbers. The uniform() function is present in a random module of NumPy.
The syntax of uniform() function is
numpy.random.uniform(lower, upper, size)
It takes three arguments:
lower: It is the lower bound. All the numbers generated from uniform() are greater than or equal to lower. Its default value is 0.upper: It is the upper bound. All the numbers generated from uniform() are less than upper. Its default value is 1.size: It is used to specify the shape of the returned NumPy array. If nothing is specified, then a single value is generated. You can pass an integer or a tuple of integers.In mathematical terms, numbers generated by numpy.random.uniform() function belongs to [lower, upper) interval.
Note: All the numbers between the specified interval have equal probability of occurring. The size parameter controls how many numbers will be generated.
import numpy as np arr = np.random.uniform(0, 10, size=5) print(arr)
Output
[3.58278693 7.58057951 9.51818642 7.63117296 2.73584315]
The above code will provide a 1 dimensional NumPy array that contains 5 uniformly generated random numbers between 0 and 10.
import numpy as np arr = np.random.uniform(-1, 1, size=(4)) print(arr)
Output
[-0.17077581 -0.68234879 -0.53202123 0.43884018]
The above code will provide a 1 dimensional NumPy array that contains 4 uniformly generated random numbers between -1 and 1.
import numpy as np arr = np.random.uniform(0, 1, size=(2, 3)) print(arr)
Output
[[0.84666524 0.24250251 0.85863502] [0.88411415 0.21698299 0.61560524]]
The above code will generate a 2x3 NumPy array that contains 6 uniformly generated random numbers between 0 and 1.
