my df'td'是一个时间序列数据，其中索引月份数为1，性能值为0-1的列。我正在尝试进行平稳性测试
'''
def stationarity_test(timeseries):
""""Augmented Dickey-Fuller Test
Test for Stationarity"""
from statsmodels.tsa.stattools import adfuller
print("Results of Dickey-Fuller Test:")
df_test = adfuller(timeseries, autolag = "AIC")
df_output = pd.Series(df_test[0:4],
index = ["Test Statistic", "p-value", "#Lags Used",
"Number of Observations Used"])
print(df_output)
stationarity_test(td)
'''
收到错误： 迪基-富勒测试的结果：
Traceback (most recent call last):
File "<ipython-input-143-69a68080d36a>", line 12, in <module>
stationarity_test(td)
File "<ipython-input-143-69a68080d36a>", line 6, in stationarity_test
df_test = adfuller(timeseries, autolag = "AIC")
File "C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\tsa\stattools.py", line 221, in adfuller
xdall = lagmat(xdiff[:, None], maxlag, trim='both', original='in')
File "C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\tsa\tsatools.py", line 397, in lagmat
nobs, nvar = xa.shape
ValueError: too many values to unpack (expected 2)