I'm trying to write a code with the objective to determine the fixed point of a nonlinear system. The code can determine the fixed points but there exixts few "None" values which when removed, generates varied array length of data. Hence, I tried to use padding. But it generates error which says AttributeError: 'numpy.ndarray' object has no attribute 'my_list' The code as below g1_fp1_arr = pad_list(g1_fp1_arr.my_list(), max_len) g1_fp2_arr = pad_list(g1_fp2_arr.my_list(), max_len) g1_mean = pad_list(g1_mean.my_list(), max_len) g1_diff = pad_list(g1_diff.my_list(), max_len) g2_fp_arr = pad_list(g2_fp_arr.my_list(), max_len) def pad_list(lst, length): return lst + [np.nan] * (length - len(lst)) Continue reading...