python - Round Date in Pandas Dataframe -


this question has answer here:

i'm attempting round date dataframe below 1st day of next month - i.e. 1997-10-10 result in 1997-11-01:

date  1997-10-10 1997-05-27 1997-04-30 1997-12-19 1997-08-12

currently code looks like:

df = pd.read_csv(xxx)  df['date'] = pd.to_datetime(df.date) df['date'] = df['date'].dt.date.replace(day = 1)

according python library documentation, 

date.replace(year=self.year, month=self.month, day=self.day) return date same value, except parameters given new values whichever keyword arguments specified. example, if d == date(2002, 12, 31), d.replace(day=26) == date(2002, 12, 26).

i had presumed use .replace 1 argument - day -however i'm receiving number of errors.

i think need monthbegin(0):

df['date'] = pd.to_datetime(df.date) + pd.offsets.monthbegin(0) print (df)         date 0 1997-11-01 1 1997-06-01 2 1997-05-01 3 1998-01-01 4 1997-09-01

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