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