我也有同样的疑问，并在此网站上找到了正确答案：

https://raw.githubusercontent.com/GeneralMills/pytrends/master/pytrends/dailydata.py

https://medium.com/@yanweiliu/getting-the-google-trends-data-with-python-67b335e7d1cf

Returns:
    complete (pd.DataFrame): Contains 4 columns.
        The column named after the word argument contains the daily search
        volume already scaled and comparable through time.
        The column f'{word}_unscaled' is the original daily data fetched
        month by month,and it is not comparable across different months
        (but is comparable within a month).
        The column f'{word}_monthly' contains the original monthly data
        fetched at once. The values in this column have been backfilled
        so that there are no NaN present.
        The column 'scale' contains the scale used to obtain the scaled
        daily data.