python - Creating new numpy array from existing array efficiently -

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I have an existing NMP array (UIT8) that looks like this:

(Value 8-bit, I only include the last 3) 

  [[00000AAA, 00000BBB, 00000CCC], [00000FFF, 00000EEE, 00000DDD], [00000GGG, 00000HHH, 00000III], [00000LLL, 00000KKK, interested in 00000JJJ]]

and finally I want the data in this form: 

  [01AAABBB, 01CCCDDD 01EEEFFF, 01GGGHHH, 01IIIJJJ, 01KKKLLL ]

In addition, every second line is reversed.

Currently, I have a long and curved code that can be found in the original list row-per-line and cell-by-cell

Itemprop =" text ">

Here trustees have an approach using built-in commands and vector-style indexing, so it should be very compact (and fast) ):

updated with comment with suggestions 

  every other row unsnaked_array = NP# Reverse direction. Array (inp_array) unsnaked_array [1 :: 2] = inp_array [1 :: 2, :: - 1] # change a long array unsnaked_array = unsnaked_array.ravel () unsnaked_array & amp; = 0x7 # extra security :) # yoga bits required for every pair of elements (rolled with the first element) and add result_array = (unsnaked_array [:: 2] to & lt; & lt; 3) + unsnaked_array [1 :: 2] + (1 & Lt; <6)

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