拟合和预测-收到错误

Question

我是预测，jupyter笔记本和python的新手。我似乎找不到问题

train_df = fit_train.drop(['price','Date'],axis=1).values
pred_df = fit_cast.drop(['price','Date'],axis=1).values

def fitForecast(stepwise_model, train_df, pred_df):  #fittrain, fitcast

    train_pred = pred_df[:len(train_df)] # data (M-Th) 
    cast_pred = pred_df[len(train_df):] # just Friday, the forecast 

    #xregTrain=train_pred.drop(['price','Date'],axis=1).values
    #stepwise_model.fit(fit_train['price'], exogenous=xregTrain)
    stepwise_model.fit(train_df['price'], exogenous=train_pred)

    #xreg_cast=cast_pred.drop(['price','Date'],axis=1).values
    future_forecast = stepwise_model.predict(n_periods=1, exogenous=cast_pred.reshape(1, -1))

    return future_forecast

错误：

IndexError                                
Traceback (most recent call last)
<ipython-input-13-990978da5899> in <module>()
    15     return future_forecast
    16 
---> 17 testFitForecast = fitForecast(stepwise_model, train_df, pred_df)
    18 
    19 print(testFitForecast)
<ipython-input-13-990978da5899> in fitForecast(stepwise_model, train_df, pred_df)
    8 
    9     #xregTrain=train_pred.drop(['price','Date'],axis=1).values
---> 10     stepwise_model.fit(train_df['price'], exogenous=train_pred)
    11 
    12     #xreg_cast=cast_pred.drop(['price','Date'],axis=1).values
IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices