convert column in pandas to datetime
df['col'] = pd.to_datetime(df['col'])convert column in pandas to datetime
df['col'] = pd.to_datetime(df['col'])convert date time to date pandas
df['date_column'] = pd.to_datetime(df['datetime_column']).dt.dateconvert column series to datetime in pandas dataframe
#Converting column to datetime dtype while loading file.
#Create a date parser function
d_parser = lambda x: pd.to_datetime(x)
df = pd.read_csv(file_name.csv, parse_dates=['date_column'], date_parser=d_parser)
#If date is not in parseable format, use
pd.to_datetime.strptime(x, format)
#Eg. format for '2017-03-13 04-PM' is '%Y-%M-%D %I-%p'
#Datetime Formatting Codes - http://bit.ly/python-dt-fmtpandas convert series of datetime to date
df['date_only'] = df['date_time_column'].dt.dateconvert datetime to date pandas
[dt.to_datetime().date() for dt in df.dates]Copyright © 2021 Codeinu
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