Python | Numpy numpy.transpose()

With the help of Numpy numpy.transpose(), We can perform the simple function of transpose within one line by using numpy.transpose() method of Numpy. It can transpose the 2-D arrays on the other hand it has no effect on 1-D arrays. This method transpose the 2-D numpy array.
 

Parameters: 
axes : [None, tuple of ints, or n ints] If anyone wants to pass the parameter then you can but it's not all required. But if you want than remember only pass (0, 1) or (1, 0). Like we have array of shape (2, 3) to change it (3, 2) you should pass (1, 0) where 1 as 3 and 0 as 2.
Returns: ndarray 
 

Example #1 : 
In this example we can see that it's really easy to transpose an array with just one line.
 

# importing python module named numpy
import numpy as np

# making a 3x3 array
gfg = np.array([[1, 2, 3],
                [4, 5, 6],
                [7, 8, 9]])

# before transpose
print(gfg, end ='\n\n')

# after transpose
print(gfg.transpose())

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

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

Example #2 : 
In this example we demonstrate the use of tuples in numpy.transpose().
 

# importing python module named numpy
import numpy as np

# making a 3x3 array
gfg = np.array([[1, 2],
                [4, 5],
                [7, 8]])

# before transpose
print(gfg, end ='\n\n')

# after transpose
print(gfg.transpose(1, 0))

[[1 2]
 [4 5]
 [7 8]]

[[1 4 7]
 [2 5 8]]

Method 2: Using  Numpy ndarray.T object.

# importing python module named numpy
import numpy as np
  
# making a 3x3 array
gfg = np.array([[1, 2, 3],
                [4, 5, 6],
                [7, 8, 9]])
  
# before transpose
print(gfg, end ='\n\n')
  
# after transpose
print(gfg.T)

Output

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

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