python-scipyHow can I use the x.shape function in Python Numpy?

The x.shape function is a part of the NumPy library in Python and is used to find the shape of an array. It returns a tuple of the form (rows, columns), where rows is the number of rows and columns is the number of columns in the array.

Example

import numpy as np

x = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

x.shape

Output example

(3, 3)

The code above imports NumPy as np and creates an array x with three rows and three columns. Then the x.shape function is used to find the shape of the array x, which is (3, 3).

Code explanation

• import numpy as np: imports the NumPy library and assigns it to the alias np
• np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]): creates an array x with three rows and three columns
• x.shape: finds the shape of the array x

Helpful links

• NumPy Documentation
• NumPy Shape Function

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