python - 合并 Pandas DataFrame 日期时间列

Question

假设我有如下数据框:

Year Month Day
2003 1     8
2003 2     7

如何在数据框中新定义的列中组合年、月和日，因为数据框将是:

Year Month Day Date
2003 1     8   2003-1-8
2003 2     7   2003-2-7

对此有什么想法吗？

我正在使用 pandas python 数据框

谢谢!

Answer 1

>>> from datetime import datetime
>>> df['Date'] = df.apply(lambda row: datetime(
                              row['Year'], row['Month'], row['Day']), axis=1)
>>> df
   Year  Month  Day                Date
0  2003      1    8 2003-01-08 00:00:00
1  2003      2    7 2003-02-07 00:00:00

2020-03-12更新:sacul的回答更好更快:

%%timeit
df.apply(lambda row: datetime(
                              row['Year'], row['Month'], row['Day']), axis=1)

2.53 s ± 169 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)

# use below, above is slow!!!
%%timeit
pd.to_datetime(df[['Year','Month','Day']])

14.4 ms ± 3.37 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)