python - Numpy reshape array of arrays to 1D -


how x become 1d array? found convenient create x this, 

x=np.array([[0,-1,0]*12,[-1,0,0]*4]) print x print len(x)

returns

array([ [0, -1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0],        [-1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0]], dtype=object)  2

i tried making this, length still 2

y=((0,1,0)*12,(-1,0,0)*4) print y

returns

((0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0), (-1, 0, 0, -1, 0, 0, -1, 0, 0, -1, 0, 0))

i have tried using numpy.reshape (on both x , y):

np.reshape(x,48)

but error:

valueerror: total size of new array must unchanged

is possible reshape x or y when have declared them did?

when create array, concatenate lists + instead of packing them in list:

x = np.array([0,-1,0]*12 + [-1,0,0]*4)

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