python - Convert a list of 2D numpy arrays to one 3D numpy array? -

i have list of several hundred 10x10 arrays want stack single nx10x10 array. @ first tried simple

newarray = np.array(mylist)

but returned "valueerror: setting array element sequence."

then found online documentation dstack(), looked perfect: "...this simple way stack 2d arrays (images) single 3d array processing." i'm trying do. however,

newarray = np.dstack(mylist) 

tells me "valueerror: array dimensions must agree except d_0", odd because arrays 10x10. thought maybe problem dstack() expects tuple instead of list,

newarray = np.dstack(tuple(mylist)) 

produced same result.

at point i've spent 2 hours searching here , elsewhere find out i'm doing wrong and/or how go correctly. i've tried converting list of arrays list of lists of lists , 3d array, didn't work either (i ended lists of lists of arrays, followed "setting array element sequence" error again).

any appreciated.

newarray = np.dstack(mylist) 

should work. example:

import numpy np  # here list of 5 10x10 arrays: x=[np.random.random((10,10)) _ in range(5)]  y=np.dstack(x) print(y.shape) # (10, 10, 5)  # shape nx10x10,  use rollaxis: y=np.rollaxis(y,-1) print(y.shape) # (5, 10, 10)