我正在使用 ARIMA 在 Python 中進行預測，以下是我的代碼：import numpy as np import pandas as pd import matplotlib.pyplot as plt from statsmodels.tsa.seasonal import seasonal_decomposefrom sklearn import datasets, linear_modelfrom sklearn.model_selection import train_test_splitHSBC = pd.read_csv('HSBC.csv', index_col = 'Date', parse_dates = True)HSBC2 = HSBC['Close']result = seasonal_decompose(HSBC2, model='multiplicative', period = 1)from pmdarima import auto_arimaimport warningswarnings.filterwarnings("ignore")stepwise_fit = auto_arima(HSBC2, start_p = 1, start_q = 1,                       max_p = 3, max_q = 3, m = 12,                       start_P = 0, seasonal = True,                       d = None, D = 1, trace = True,                       error_action ='ignore',                          suppress_warnings = True,                        stepwise = True) train = HSBC2[0:173]test = HSBC2[173:248]model = SARIMAX(train, order = (0, 1, 1), seasonal_order =(0,1,1,12)) result = model.fit()start = len(train)end = len(train) + len(test) - 1prediction = result.predict(start,end,                            typ = 'levels').rename("Predictions")  predictions.plot(legend = True) test.plot(legend = True)我很困惑為什么預測圖的 x 軸變成數字，它應該是像測試圖一樣的日期。