How to concatenate multiple arrays across multiple axis in numpy

Question

I have the following numpy array dimension: [64, 897]. This data is generated after each experiment. I have 8 subjects in total and I did the experiments 6 times per subject.

Therefore, I would like to have at the end a 4 dimensional array of the following size: [8, 6, 64, 897].

How can I achieve this in numpy in python.

Any help is much appreciated!!

Take a look at np.stack specifying axis=0

rafaelc
– rafaelc

2019-09-08 22:58:27 +00:00
Commented Sep 8, 2019 at 22:58 — rafaelc
– rafaelc, Commented Sep 8, 2019 at 22:58

I. A · Accepted Answer · 2019-09-08 23:06:51Z

1

According to @rafaelc, here is the solution:

total_slices = []

for i in range(8):
    slices_ = []
    for j in range(6):
        slices = result_of_experiment()   # This will return an np.array of shape: [64, 8970
        slices_.append(slices)

    slices = np.stack(slices_, axis=0)
    print("slices.shape", slices.shape)
    total_slices.append(slices)

total_slices = np.stack(total_slices, axis=0)
print("total_slices.shape", total_slices.shape)

answered Sep 8, 2019 at 23:06

I. A

2,3122 gold badges29 silver badges70 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

How to concatenate multiple arrays across multiple axis in numpy

1 Answer 1

Comments

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Your Answer

Sign up or log in

Post as a guest

Related