Pandas - Float to Date conversion YYYY-MM

Question

I have a Column 'Date' which has values in the form YYYYMM, The Column date is of type float.

I wish to convert it in to date type as YYYY-MM.

When I try the below, it gives the error float is not sliceable.

df['Date'] = pd.to_datetime(df['Date'], format='%Y%m').dt.strftime('%Y%m')

Input Data

 Date(Float)
    201101.0
    201812.0

Output Required

Date(Date Type)
2011-01
2018-12

Zero · Accepted Answer · 2018-03-08T10:52:49.247

4

Use

In [26]: pd.to_datetime(df['Date'], format='%Y%m.0').dt.strftime('%Y-%m')
Out[26]:
0    2011-01
1    2018-12
Name: Date, dtype: object

Use pd.to_datetime(..., errors='coerce') to replace incomptabile values as NaT

edited Mar 08 '18 at 10:52

answered Mar 08 '18 at 10:51

Zero

@Zero It worked, It tried the same for 2 columns, when I try to subtract those columns, it throws error. – Tom J Muthirenthi Mar 08 '18 at 11:11
@TomJMuthirenthi please accept the current answer and ask a new question for your new problem... – IanS Mar 08 '18 at 11:16
@IanS https://stackoverflow.com/questions/49173429/month-difference-yyyymm-pandas. New question – Tom J Muthirenthi Mar 08 '18 at 12:44

1 Answers1