Merging pickled .npz files in a desired format - python-3.x

Question

I have multiple npz files which i want to merge into one npz.file with the format similar to "mnist.npz"
the format of mnist.npz is:
((array([[[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]],
[0, 0, 0, ..., 0, 0, 0]]], dtype=uint8),
array([5, 0, 4, ..., 5, 6, 8], dtype=uint8))
Here two arrays are merged into one big npz file.
My two npz arrays are:
x_array:
[[[252, 251, 253],
[151, 150, 152],
[ 28, 25, 27],
...,
[ 30, 25, 27],
[ 30, 25, 27],
[ 32, 27, 29]],
[ 23, 18, 20]],
[[ 50, 92, 163],
[ 55, 90, 163],
[ 75, 105, 176],
...,
[148, 197, 242],
[109, 157, 208],
[109, 165, 222]],
[[ 87, 104, 155],
[ 82, 112, 168],
...,
[ 29, 52, 105],
[ 30, 55, 111],
[ 36, 55, 106]]]
y_array:
[1, 1, 1, 1, 1, 1]
When i tried to merge my files, the output i got is:
(array([[[252, 251, 253],
[151, 150, 152],
[ 28, 25, 27],
...,
[ 30, 25, 27],
[ 30, 25, 27],
[ 32, 27, 29]],
[ 23, 18, 20]]], dtype=uint8), array([[[ 50, 92, 163],
[ 55, 90, 163],
[ 75, 105, 176],
...,
[148, 197, 242],
[109, 157, 208],
[109, 165, 222]],
[ 87, 104, 155],
[ 82, 112, 168],
...,
[ 29, 52, 105],
[ 30, 55, 111],
[ 36, 55, 106]]], dtype=uint8),1, 1, 1, 1, 1, 1)
So in the last line, my array is formated as
1, 1, 1, 1, 1, 1
instead of something like:
array([1, 1, 1, 1, 1, 1], dtype=uint8)
My code for merging two npz files is:
data = load('x_array.npz',allow_pickle=True)
lst = data.files
for item in lst:
x_train = data[item]
#print((x_item,x_train))
data1 = load('y_array.npz',allow_pickle=True)
lst1 = data1.files
for item in lst1:
y_train = data1[item]
out1 = (*x_train,*y_train)
np.savez('out1.npz',out1)
print(out1)
Can anyone please suggest how i can convert my second array of (1, 1, 1, 1, 1, 1) to array([1, 1, 1, 1, 1, 1], dtype=uint8)? Any suggestions are helpful

Answer 1

After going through my code i found out that by changing the line
out1 = (*x_train,*y_train)
to
out1 = (*x_train,y_train)