NumPy numpy.transpose()

NumPy numpy.transpose()

NumPy numpy.transpose() transposes a 2-dimensional array by moving the rows data to the column and the columns data to the rows.

Here is an example of how numpy.transpose() works.

import numpy as np

# 👇️ create a numpy array
example_array = np.array(
  [ [1, 2, 3],
    [4, 5, 6] ]
)
print(example_array)
>> [ [1, 2, 3],
     [4, 5, 6] ]

# 👇️ this is the transposed array
transposed_array = example_array.transpose()
print(transposed_array)
>> [ [1, 4]
     [2, 5]
     [3, 6] ]

Transposing a 1D array

A 1-dimensional NumPy array cannot be transposed. If you try this, you will get not an error, but the array will stay the same.

import numpy as np

# 👇️ create a 1D numpy array
example_1d_array = np.array([1, 2, 3, 4, 5])
print(example_1d_array)
>> [1, 2, 3, 4, 5]

# 👇️ the transposed array is the same as the original array
transposed_1d_array = example_1d_array.transpose()
print(transposed_1d_array)
>> [1, 2, 3, 4, 5]

Conclusion

NumPy numpy.transpose() transposes a 2-dimensional array by moving the rows data to the column and the columns data to the rows.