1

I am trying to transpose this array into single one. My input:

a = [[ array([  3.00514850e+05,   3.32400000e+01,   2.71669002e-01,
         6.50974961e+05,   3.00515112e+05,   3.32248995e+01])
  array([ 15.])]
 [ array([  3.00915200e+05,   2.90600000e+01,   2.91730634e-01,
         6.50763121e+05,   3.00915412e+05,   2.91246275e+01])
  array([ 17.])]

What i am trying to achieve:

 b = [[  3.00514850e+05,   3.32400000e+01,   2.71669002e-01,
         6.50974961e+05,   3.00515112e+05,   3.32248995e+01, 15.]
       [  3.00915200e+05,   2.90600000e+01,   2.91730634e-01,
         6.50763121e+05,   3.00915412e+05,   2.91246275e+01, 17.]]

So my plan is to first transpose my array into single one, split two arrays into individual and then append it together. I really feel like I over-complicating something.

I used b = a.transpose() to put all the values from small array to the end. After that i am trying to use c, d = ([i] for i in b) to split this to arrays and then my plan is to use output = np.append(c, d).

But my function c, d trowing error "too many values to unpack (expected 2)".

Is there any better way to do it? What am I doing wrong? Can you help me?

0

1 Answer 1

3

So you are trying to concatenate the arrays in all the sublist of your list a. You can do that using the built-in function map:

a = [[np.array([3.00514850e+05, 3.32400000e+01, 2.71669002e-01,
                6.50974961e+05, 3.00515112e+05, 3.32248995e+01]), np.array([15.])],
     [np.array([3.00915200e+05, 2.90600000e+01, 2.91730634e-01,
                6.50763121e+05, 3.00915412e+05, 2.91246275e+01]), np.array([17.])]]
a = np.array(a)
result = np.array(list(map(np.concatenate,a)))
Sign up to request clarification or add additional context in comments.

1 Comment

Perfect! That's the answer what i was looking for!

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.