How to reshape 4d array to 2d array in numpy

Question

I have a 4d array of shape like this. It has total 18*100 = 1800 rows and 30 dimensional outputs per row

(18, 100, 30, 1, 1)

i want to convert or reshape this into 2d array, the easiest way

(1800,30)

Sorry for being so naive with numpy, but please i am a novice user. Any help much appreciated.

Marcus Müller · Accepted Answer · 2017-01-30 08:54:30Z

10

numpy.reshape(input_in_4D, (1800,30))

Of course this just converts the input in the default order (meaning you "unroll" the input array from inner to outer); if you need special ordering, you should read up on slicing.

edited Jan 30, 2017 at 8:54

answered Feb 4, 2015 at 18:41

Marcus Müller

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2 Comments

Daniel Over a year ago

I understand this is pseudo code, but python does not accept variables that start with numbers. Also, this is not a valid input syntax for reshape it should be np.reshape(input_4d, (1800, 3)) or the more popular input_4d.reshape(1800,3).

ady Over a year ago

it should be: np.reshape(input_4d, (1800, 30)) (I mean thirty not three).

notEmissary · Accepted Answer · 2019-04-20 05:19:48Z

3

You can use reshape method:

newArray = oldArray.reshape(1800,30)

edited Apr 20, 2019 at 5:19

notEmissary

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answered Mar 22, 2017 at 12:35

pyAddict

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