NumPy ndarray.transpose() Method | Find Transpose of the NumPy Array

NumPy ndarray.T | Get View of Transposed Array

Last Updated : 31 Jan, 2024

The NumPy ndarray.T attribute finds the view of the transposed Array.

It can transpose any array having a dimension greater than or equal to 2. It works similarly to the numpy.transpose() method but it is easy and concise to use.

Syntax

Syntax: ndarray.T

Returns

Transpose of given array

Examples

Let’s look at how to use the ndarray.T attribute of the Python’s NumPy library.

Example 1

Python3

import numpy as np 
  
arr = np.array([[1, 2, 3], [4, 5, 6]])      
# applying ndarray.T object 
transposed_array = arr.T 
   
print(transposed_array)

Output

[[1 4]
 [2 5]
 [3 6]]

Example 2

Python3

# import the important module in python  
import numpy as np  
          
# make an array with numpy  
gfg = np.array([[1, 2, 3, 4], [4, 5, 6, 7], [7, 8, 9, 0]])  
          
# applying ndarray.T object  
geeks = gfg.T  
  
print(geeks)  

Output:

[[1 4 7]
 [2 5 8]
 [3 6 9]
 [4 7 0]]

The ndarray.T attribute finds its use in machine learning applications where input data needs to be formatted in a certain way for further processing.

It does not modify the original array and only returns the view of the transposed array.

NumPy ndarray.transpose() Method | Find Transpose of the NumPy Array

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