我有一个带有日期和数字的数据框（df）。我想在日期上加上数字。如何使用pd.offsets（）将df ['additional_days']系列添加到df ['start_date']系列中？有一个更好的方法吗？
start_date另外_days
2018-03-29 360
2018-07-31 0
2018-11-01 360
2016-11-03 720
2018-12-04 480
尝试时出现错误
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'>
最佳答案
使用pd.to_timedelta
import pandas as pd
#df['start_date'] = pd.to_datetime(df.start_date)
df['start_date'] + pd.to_timedelta(df.additional_days, unit='d')
#0 2019-03-24
#1 2018-07-31
#2 2019-10-27
#3 2018-10-24
#4 2020-03-28
#dtype: datetime64[ns]
关于python - 将系列而不是整数传递给Pandas偏移量，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/54581339/