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Python | Numpy ndarray.T

  • Difficulty Level : Easy
  • Last Updated : 02 Apr, 2019

With the help of Numpy ndarray.T object, we can make a Transpose of an array having dimension greater than or equal to 2.

Syntax : ndarray.T

Return : Transpose of an array

Example #1 :
In this example we can see that with the help of ndarray.T object, we are able to transform an array.




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

Example #2 :




# 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]]

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