如何在 Pandas 中将 int64 转换为日期时间

Question

I have a pandas dataframe that has a column of type int64 but this columns represets date, eg 20180501. I'd like to convert this column to datetime and I'm having the following code but it returns an error message

 df['new_date'] = pd.to_datetime(df['old_date'].astype('str'), format = '%y%m%d')

I'm getting the following error message

ValueError: unconverted data remains: 0501

How can I fix my code?

Answer 1

You need a capital Y . See Python's strftime directives for a complete reference.

df = pd.DataFrame({'old_date': [20180501, 20181230, 20181001]})

df['new_date'] = pd.to_datetime(df['old_date'].astype(str), format='%Y%m%d')

print(df)

   old_date   new_date
0  20180501 2018-05-01
1  20181230 2018-12-30
2  20181001 2018-10-01

Answer 2

It could be that the problem arises due to a format error at some places in the dataframe.

You could try setting the parameter errors="coerce" to avoid converting those entries and setting them to NaT.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.to_datetime.html