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Element wise multiplication NumPy

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Element-wise multiplication in NumPy is straightforward. You can perform it using either the * operator or the numpy.multiply() function. Here’s the syntax for both approaches:

Using the * operator:

result = array1 * array2

Using the numpy.multiply() function:

result = np.multiply(array1, array2)

In both cases:

  • array1 and array2 are NumPy arrays that you want to multiply element-wise.
  • result will contain the result of the element-wise multiplication, where each element in result will be the product of the corresponding elements in array1 and array2.

You can replace array1 and array2 with your own NumPy arrays as needed, and the element-wise multiplication will work the same way.

Element-wise multiplication NumPy example

Here’s an example of element-wise multiplication in NumPy:

import numpy as np

# Create two NumPy arrays
array1 = np.array([1, 2, 3])
array2 = np.array([4, 5, 6])

# using the * operator
result = array1 * array2

print("Element-wise multiplication using * operator:")

# using numpy.multiply()
result2 = np.multiply(array1, array2)

print("\nElement-wise multiplication using np.multiply():")


Element wise multiplication NumPy

The * operator and the numpy.multiply() function performs element-wise operations, which means they multiply each element in array1 with the corresponding element in array2.

Note: IDE: PyCharm 2021.3.3 (Community Edition)

Windows 10

Python 3.10.1

All Python Examples are in Python 3, so Maybe its different from python 2 or upgraded versions.

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