Numpy random.random() Function

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The Numpy random.random() function is used to generate random numbers in the interval of [0.0, 1.0). It returns an array of specified shape and fills it with random floats in the half-open interval.

Using numpy.random.random() function, the generated random numbers will be in a range greater than or equal to 0 (>=0) and less than 1 (<1). When representing intervals, square bracket [ means that the number is included in the interval, and round bracket ) means that the number is not included in the interval.

Syntax

Following is the syntax of the Numpy random.random() Function −

numpy.random.random(size=None)

Parameters

Following are the parameters of the Numpy random.random() function −

• size (optional): This defines the output shape. If None, a single float is returned. If an integer, a 1D array of that length is returned. If a tuple, it specifies the dimensions of the output array.

Return Values

This function returns a NumPy array with random floats between 0 and 1.

Example

Following is a basic example to generate a evenly spaced numpy array using Numpy random.random() function −

import numpy as np
random_value = np.random.random()
print("Random Value -", random_value)

Output

Following is the output of the above code −

Random Value - 0.5488135039273248

Example : Numpy Array using 'random.random()'

The numpy.random.random() function used to generate the numpy array of random float values between 0 & 1.

In the following example, we have generated the a numpy array using numpy.random.random() function −

import numpy as np
numpy_Array = np.random.random(size = 4)
print("Numpy 1D array - \n",numpy_Array)
print(type(numpy_Array))

Output

Following is the output of the above code −

Numpy 1D array - 
 [0.43857993 0.75618948 0.72346477 0.74740608]
<class 'numpy.ndarray'>

Example : Multi-dimensional Numpy Array

Using the numpy.random.random() function, we can generate a 2-dimensional array of random values by specifying a tuple as the size parameter. This tuple represents the desired shape of the array.

In the following example, we have created a 2D array with 3 rows and 4 columns, filled with random values between 0 and 1 −

import numpy as np
# Generating a 2D array with random values between 0 and 1
random_2d_array = np.random.random((3, 4))
print("Numpy 2D Array of Random Values -\n", random_2d_array)

Output

Following is the output of the above code −

Numpy 2D Array of Random Values -
[[0.37454012 0.95071431 0.73199394 0.59865848]
 [0.15601864 0.15599452 0.05808361 0.86617615]
 [0.60111501 0.70807258 0.02058449 0.96990985]]