[FIXED] Pandas convert column with year integer to datetime

Issue

I am having some problem converting column (datatype:int64) into datetime working with Pandas.

Original data:

Year
2015
2014
...
2010

Desired outcome:

Year
2015-01-01
2014-01-01
...
2010-01-01

My current result:

Year
1970-01-01 00:00:00.000002015
1970-01-01 00:00:00.000002014
...
1970-01-01 00:00:00.000002010

I have tried:

data.Year = pd.to_datetime(data.Year)
data.Year = pd.to_datetime(data.Year, format='%Y-%m-%d')

Thanks

Solution

Use format='%Y'

In [225]: pd.to_datetime(df.Year, format='%Y')
Out[225]:
0   2015-01-01
1   2014-01-01
2   2010-01-01
Name: Year, dtype: datetime64[ns]

---

Details

In [226]: df
Out[226]:
   Year
0  2015
1  2014
2  2010

Answered By - Zero