print("AR", ar) return ar if __name__ == '__main__': from DataAccess import DataAccess data = DataAccess('2003-09-27T00:00:00', '2003-09-29T00:00:00', 'FIL') chain_encoded = prep.encode_and_split(data.get_chain_code()) mer = get_shapes(chain_encoded, data.get_pixel_start_x(), data.get_pixel_start_y(), data.get_filename(), data.get_track_id(), data.get_fil_id(), data.get_date()) make_synthesis(mer) # for id, coords in mer.items(): # carrington.append(coords[0][0]) # for x in range(1,6): # carrington.append(mer["50988"][x][0]) # # prep.display_object(carrington, "") # npa = np.array([pix[0]], dtype=np.int32) # npa2 = np.array([pix[1]], dtype=np.int32) # print(npa) #