python - Difference of a date and int column in Pandas -


i have dataframe looks this:

raw_data = {'seriesdate':['2017-03-10','2017-03-13','2017-03-14','2017-03-15'],'test':['1','2','3','4']} import pandas pd df = pd.dataframe(raw_data,columns=['seriesdate','test']) df['seriesdate'] = pd.to_datetime(df['seriesdate'])

i want subtract number field date field arrive @ date, when this:

df['testdate'] = df['seriesdate'] - pd.series((dd) dd in df['test'])

i following typeerror:

typeerror: incompatible type [object] datetime/timedelta operation

any idea how can workaround this?

you can use to_timedelta:

df['testdate'] = df['seriesdate'] - pd.to_timedelta(df['test'].astype(int), unit="d")  print(df)      seriesdate  test    testdate 0   2017-03-10  1       2017-03-09 1   2017-03-13  2       2017-03-11 2   2017-03-14  3       2017-03-11 3   2017-03-15  4       2017-03-11

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