KeyError: 'The `start` argument could not be matched to a location related to the index of the data.'

这个错误通常是由于`start`参数的值不在数据索引范围内导致的。请检查数据的时间索引是否包含所指定的`start`和`end`时间。您可以使用`print`语句打印数据的时间索引以及所指定的`start`和`end`时间，以检查它们是否匹配。

另外，还需要注意，时间索引需要先转换为`DatetimeIndex`类型，这可以通过以下代码实现：

gg.index = pd.DatetimeIndex(gg.index)
fb.index = pd.DatetimeIndex(fb.index)

这样就可以确保时间索引和`start`和`end`参数的类型匹配，并且可以正确地进行预测。

相关问题

'The `end` argument could not be matched to a location related to the index of the data.'

这个错误提示意味着在使用predict()方法时，指定的结束时间（end argument）在数据索引中找不到对应的位置。这通常是因为要预测的数据中不包括指定的结束时间，或者结束时间超出了数据索引的范围。解决这个问题的方法是检查要预测的数据是否包括指定的结束时间，并将结束时间调整为数据索引范围内的时间。

The given frequency argument could not be matched to the given index.

This error message could be encountered in various scenarios based on the context of usage. In general, it indicates that the frequency value provided as an argument in the code does not correspond to any index value in the code or data structure being used.

For example, if you are working with an array and trying to access an element at a particular frequency index that does not exist in the array, this error could be raised. Similarly, in signal processing or audio-related applications, this error could occur when trying to access a frequency bin that is out of range or does not exist.

To fix this error, you should check the code carefully and ensure that the frequency value being used matches the index values expected by the code or data structure. You may need to adjust the frequency range or modify the code to handle out-of-range values gracefully.