我目前正在基于ARIMA [SARIMAX]建立时间序列模型，但遇到无法解决的错误，
这是我拥有的数据格式
DT[INDEX Column] Value
YYYY-MM-DD HH:MM:SS 19273792.02
YYYY-MM-DD HH:MM:SS 283672.24
YYYY-MM-DD HH:MM:SS 324587654
YYYY-MM-DD HH:MM:SS 356543564
这是代码
pred = results.get_prediction(start = pd.to_datetime('yyyy-mm-dd'), dynamic = False) ##Error occurs in this line
pred_ci = pred.conf_int()
pred_ci.head()
这些是我遇到的主要错误
TypeError: 'int' object is not subscriptable
During handling of the above exception, another exception occurred:
KeyError: 'only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices'
During handling of the above exception, another exception occurred:
KeyError: 'The `start` argument could not be matched to a location related to the index of the data.'
我尝试为pd.to_datetime('yyyy-mm-dd hh:mm:ss')函数插入时间和日期，但出现相同的错误！