NumPy: Get the largest integer smaller or equal to the division of the inputs

Last update on August 29 2025 12:45:04 (UTC/GMT +8 hours)

4. Floor Division (Largest Integer Less or Equal)

Write a NumPy program to get the largest integer smaller or equal to the division of the inputs.

Sample Solution:

Python Code:

import numpy as np
x = [1., 2., 3., 4.]
print("Original array:")
print(x)
print("Largest integer smaller or equal to the division of the inputs:")
print(np.floor_divide(x, 1.5))

Sample Output:

Original array:                                                        
[1.0, 2.0, 3.0, 4.0]                                                   
Largest integer smaller or equal to the division of the inputs:        
[ 0.  1.  2.  2.]

Explanation:

In the above exercise -

x = [1., 2., 3., 4.] – This line defines a list of floats.

np.floor_divide(x, 1.5) – This line performs floor division of each element in x by 1.5.

Finally print() will print [0., 1., 2., 2.].

For more Practice: Solve these Related Problems:

Implement a function that performs floor division on two arrays and returns the largest integer less than or equal to each quotient.
Test the floor division on arrays with fractional values to confirm that the output matches np.floor of the division.
Compare np.floor_divide with manual floor operation on element-wise division of two arrays.
Apply floor division on an array and a scalar and verify that broadcasting yields the correct integer array.

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