NumPy ndarray.T | Get View of Transposed Array
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 Beginner = gfg.T print (Beginner) |
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.
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