How to create a three-dimensional array using NumPy? How to create a 3-dimensional array using NumPy?

To create a three-dimensional array using NumPy, you can use the numpy.array function with nested lists. Each nested list represents a 2D matrix or a set of 2D matrices, which combine to form a 3D array. Here is an example code snippet that demonstrates how to create a three-dimensional array with NumPy:

import numpy as np

# Create a three-dimensional array with 2 matrices of size 3x3
arr = np.array([[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 
                [[10, 11, 12], [13, 14, 15], [16, 17, 18]]])

print(arr)

In this example, we imported the NumPy library using the import statement, and then we used the numpy.array function to create a three-dimensional array with 2 matrices of size 3x3. We passed in a list of two nested lists, each containing three nested lists of three integers. We assigned the resulting array to the variable arr. Finally, we printed the contents of the array using the print statement.

You can create a three-dimensional array using NumPy in many other ways, such as using the numpy.zeros function or the numpy.random.rand function, depending on your needs.

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