Numpy .t - Python NumPy ndarray.T Function

NumPy ndarray.T Function:

Numpy .t: The ndarray.T in NumPy module is an array attribute which it is used to get the transposed array.

Syntax:

numpy.ndarray.T

Parameters:

This method doesn’t accept any parameters

Return Value:

The transposed array is returned by this function.

NumPy ndarray.T Function in Python

Example1

Approach:

Import numpy module using the import keyword.
Pass some random list as an argument to the array() function of the numpy module to create an array.
Store it in a variable.
Apply .T attribute on the given array to get a transpose of the given array(interchange rows& columns).
Store it in another variable.
Print the given array.
Print the above-obtained transposed Array.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list as an argument to the array() function of the 
# numpy module to create an array.
# Store it in a variable.
gvn_arry = np.array([[1,2,3],[4, 5, 6]])
# Apply .T attribute on the given array to get a transpose 
# of the given array(interchange rows& columns)
# Store it in another variable.
trnspos_arry = gvn_arry.T
# Print the given array
print("The given array is:")
print(gvn_arry)
print()
# Print the above-obtained transposed Array
print("The above obtained transposed Array is:")
print(trnspos_arry)

Output:

The given array is:
[[1 2 3]
[4 5 6]]

The above obtained transposed Array is:
[[1 4]
[2 5]
[3 6]]

Example2: For 1 dimensional array

Here it remains unchanged

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list as an argument to the array() function of the 
# numpy module to create an array.
# Store it in a variable.
gvn_arry = np.array([1,2,3])
# Apply .T attribute on the given array to get a transpose 
# of the given array(interchange rows& columns)
# Store it in another variable.
trnspos_arry = gvn_arry.T
# Print the given array
print("The given array is:")
print(gvn_arry)
print()
# Print the above-obtained transposed Array
print("The above obtained transposed Array is:")
print(trnspos_arry)

Output:

The given array is:
[1 2 3]

The above obtained transposed Array is:
[1 2 3]

Numpy .t – Python NumPy ndarray.T Function

NumPy ndarray.T Function in Python

Related