将系列而不是整数传递给熊猫偏移量

Question

我有一个带有日期和数字的数据框 (df)。我想将数字添加到日期。如何使用 pd.offsets() 将 df['additional_days'] 系列添加到 df['start_date'] 系列？有一个更好的方法吗？start_date additional_days2018-03-29 3602018-07-31 02018-11-01 3602016-11-03 7202018-12-04 480我尝试时出错df['start_date'] + pd.offsets.Day(df['additional_days']) 这是错误TypeError                                 Traceback (most recent call last)pandas/_libs/tslibs/offsets.pyx in pandas._libs.tslibs.offsets._BaseOffset._validate_n()/opt/conda/lib/python3.6/site-packages/pandas/core/series.py in wrapper(self)    117         raise TypeError("cannot convert the series to "--> 118                         "{0}".format(str(converter)))    119 TypeError: cannot convert the series to <class 'int'>During handling of the above exception, another exception occurred:TypeError                                 Traceback (most recent call last)<ipython-input-76-03920804db29> in <module>----> 1 df_test['start_date'] + pd.offsets.Day(df_test['additional_days'])/opt/conda/lib/python3.6/site-packages/pandas/tseries/offsets.py in __init__(self, n, normalize)   2219     def __init__(self, n=1, normalize=False):   2220         # TODO: do Tick classes with normalize=True make sense?-> 2221         self.n = self._validate_n(n)   2222         self.normalize = normalize   2223 pandas/_libs/tslibs/offsets.pyx in pandas._libs.tslibs.offsets._BaseOffset._validate_n()TypeError: `n` argument must be an integer, got <class 'pandas.core.series.Series'>