Displaying computaitonal burdens using dask in jupyter notebooks

notebook_cell.py

src = np.array(imread('carles-rabada-DD1fSz2HF1s-unsplash-small.png'))[:, :, :3]
trn = np.array(imread('olia-gozha-9A_peGrSbZc-unsplash-small.png'))[:, :, :3]
src = np.unique(src.reshape(-1, 3), axis=0)
trn = np.unique(trn.reshape(-1, 3), axis=0)
self_da = da.from_array(src.astype(np.long), chunks=(1024, 3))
other_da = da.from_array(trn.reshape(-1, 1, 3).astype(np.long),
                         chunks=(1024, 1, 3))
rgb_da = self_da - other_da
display(self_da)
display(other_da)
display(rgb_da)