Question

在使用Jupyter Notebook创建代码以预测某些数据时出现以下错误：

File "<ipython-input-104-f41838a4a887>", line 240
    else:
       ^
SyntaxError: invalid syntax

我已经检查了缩进和格式错误，但是还没有解决问题。

if dfoutput[1] <= 0.05:
    # Auto Correlation plot to select p term for the ARIMA model.
    auto_corr(df)
    set_p_value()

    # Partial Auto Correlation plot to select q term for the ARIMA model.
    plot_pacf(df)
    set_q_value()

    # d value == 0 as no differencing took place.
    print('\nd value set as 0 as no differencing took place.')
    d_value = 0

    # Select length of time to forecast over.
    future_dates(forecast_length)

    # Create the ARIMA model (Use the values of the dataframe to avoid ValueError):
    model = ARIMA(df.values, order=(p_value, d_value, q_value))
    results = model.fit()

    # Option to show summary of the model:
    model_summary(results)

    # Option to show the residuals:
    show_residuals(results)

    # FORECASTING THE DATA
    final_df['forecast'] = results.predict(start=0, end=len(final_df) - 1)

    # Plotting the forecasted values
    plt.figure(figsize=(12,7))
    plt.plot(final_df[column_to_assess], label='real', color='blue')
    plt.plot(final_df['forecast'].iloc[len(df)-1:], label='forecast', color='red')
    plt.xlabel('Date')
    plt.ylabel('Median House Value')
    plt.title('Median House Prices for ' + column_to_assess + ' (1995 - 2018) & Forecasted Prices (2018 - ' + str(final_df.index[-1].year) + ")")
    plt.grid()
    plt.legend()


'''THIS IS WHERE THE ERROR ARISES:'''
else:

    # Perform Error, Trend, Seasonality (ETS) decomposition to check for seasonality:
    ets_result = seasonal_decompose(df.astype(int), model='multiplicative')

    # Plot the ETS decomposition
    fig = result.plot()
    fig.set_size_inches(12,7)

Answer 1

具有讽刺意味的是，错误的唯一原因是您的标记文字：'''THIS IS WHERE THE ERROR ARISES:'''。那不是评论，而是三引号的字符串文字，它使else与if断开连接。删除它，语法错误就会消失。

为什么“ else”行给出无效的语法错误？

1 个答案: