How to transpose a 2D array using numpy?

Question

I want to convert this array

[array([46, 64, 50, 66]),
 array([53, 61, 59, 59]),
 array([54, 63, 55, 61]),
 array([56, 58, 51, 55])]

into this array

[array([46, 53, 54, 56]),
 array([64, 61, 63, 58]),
 array([50, 59, 55, 51]),
 array([66, 59, 61, 55])]

Is there a way to do this in numpy?

Explain what exactly you want to do, instead of providing just an example. — user202729
– user202729, Commented Mar 9, 2021 at 12:03
Mostly duplicate of python - How to flip numpy array along the diagonal efficiently? - Stack Overflow , although the answers there are terrible. — user202729
– user202729, Commented Mar 9, 2021 at 12:11

Prayson W. Daniel · Accepted Answer · 2021-03-09 12:12:57Z

6

Numpy allows you to transpose. Cast the list to numpy array and use .T

import numpy as np

case = [np.array([46, 64, 50, 66]),
 np.array([53, 61, 59, 59]),
 np.array([54, 63, 55, 61]),
 np.array([56, 58, 51, 55])]

# transform `[ ]` list to array and then `.T`
np.array(case).T # Transpose

See documentation of Transpose for more details.

edited Mar 9, 2021 at 12:12

answered Mar 9, 2021 at 12:07

Prayson W. Daniel

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Comments

Azeem Lodhi · Accepted Answer · 2021-03-09 12:06:20Z

1

check out this python docs link for help Check for transpose function in numpy as follows https://numpy.org/doc/stable/reference/generated/numpy.transpose.html

edited Mar 9, 2021 at 12:06

answered Mar 9, 2021 at 12:05

Azeem Lodhi

5112 bronze badges

1 Comment

Angry Coder Over a year ago

@user202729 Thanks. This was really helpful.

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