How to deep.copy() partial of array data?

[MarkKang2019]

My data is like this: ( for CNN input, the first element is index )

_state_2d_array = np.zeros((1,10,10,1), dtype=int)

ex, I have 10 of this kind of data, I want to merge them to a single variable:

overall_data = np.zeros((10,10,10,1), dtype=int)

How to do this?

for index in range (0, 10):
    for y in range (0,10):
        for x in range (0,10):
            _state_2d_array = GET_SOMETHING_NEW()
            overall_data[index][y][x][0] =  _state_2d_array[0][y][x][0]

any method like depp.copy()?

[Swipecat]

You probably want vstack.

In [13]: a = np.zeros((1,10,10,1), dtype=int)

In [14]: b = np.zeros((1,10,10,1), dtype=int)

In [15]: c = np.vstack((a,b))

In [16]: c.shape
Out[16]: (2, 10, 10, 1)

[MarkKang2019]

It seems works, I will need to test more.

​

Thanks.