NumPy: Get true division of the element-wise array inputs
3. True Division of Array Inputs
Write a NumPy program to get true division of the element-wise array inputs.
Sample Solution:
Python Code:
# Importing the NumPy library
import numpy as np
# Creating an array from 0 to 9
x = np.arange(10)
# Displaying the original array
print("Original array:")
print(x)
# Performing element-wise division of the array by 3 using true_divide function
print("Division of the array inputs, element-wise:")
print(np.true_divide(x, 3))
Sample Output:
Original array: [0 1 2 3 4 5 6 7 8 9] Division of the array inputs, element-wise: [ 0. 0.33333333 0.66666667 1. 1.33333333 1.6666666 7 2. 2.33333333 2.66666667 3. ]
Explanation:
In the above exercise -
x = np.arange(10): This line creates an array of integers from 0 to 9 using np.arange(10).
np.true_divide(x, 3): This line performs element-wise true division of x by 3.
The output of this code will be a NumPy array where each element is the corresponding element from x divided by 3, and the result is a floating-point number. So, the output will be an array of decimal values.
For more Practice: Solve these Related Problems:
- Implement element-wise true division for two arrays ensuring float output even when inputs are integers.
- Create a function that handles division of an array by a scalar and manages division by zero gracefully.
- Test true division on arrays with mixed positive and negative numbers and verify output precision.
- Apply broadcasting rules to perform element-wise division when array shapes differ and confirm the result’s shape.
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Previous: Write a NumPy program to compute logarithm of the sum of exponentiations of the inputs, sum of exponentiations of the inputs in base-2.
Next: Write a NumPy program to get the largest integer smaller or equal to the division of the inputs.
Python-Numpy Code Editor:
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