python-scipyHow do I create an array of zeros with the same shape as an existing array using Python and NumPy?

Creating an array of zeros with the same shape as an existing array using Python and NumPy is easy. To do this, you can use the np.zeros_like function. This function takes an existing array and creates a new array filled with zeros that has the same shape as the existing array.

For example:

import numpy as np

arr = np.array([[1,2,3],
                [4,5,6]])

arr_zeros = np.zeros_like(arr)

print(arr_zeros)

Output example

[[0 0 0]
 [0 0 0]]

The code above creates an array arr with shape (2,3) and then creates a new array arr_zeros with the same shape as arr filled with zeros.

Code explanation

1. import numpy as np: Imports the NumPy library as np.
2. arr = np.array([[1,2,3], [4,5,6]]): Creates an array arr with shape (2,3).
3. arr_zeros = np.zeros_like(arr): Creates a new array arr_zeros with the same shape as arr filled with zeros.
4. print(arr_zeros): Prints the new array.

Helpful links

• NumPy Documentation - np.zeros_like

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