PYTHON

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.date

pandas dataframe column to datetime

# convert the 'Date' column to datetime format
df['Date']= pd.to_datetime(df['Date'])
 
# Check the format of 'Date' column
df.info()

pandas change dtype to timestamp

pd.to_datetime(df.column)

pandas convert column to datetime

df['col'] = pd.to_datetime(df['col'])

convert datetime to date pandas

[dt.to_datetime().date() for dt in df.dates]

Convert a Pandas Column of Timestamps to Datetimes

import pandas as pd

#create DataFrame
df = pd.DataFrame({'stamps': pd.date_range(start='2020-01-01 12:00:00',
                             periods=6,
                             freq='H'),
                   'sales': [11, 14, 25, 31, 34, 35]})

#convert column of timestamps to datetimes
df.stamps = df.stamps.apply(lambda x: x.date())

#view DataFrame
df

	stamps	        sales
0	2020-01-01	11
1	2020-01-01	14
2	2020-01-01	25
3	2020-01-01	31
4	2020-01-01	34
5	2020-01-01	35

converting a panda column to a datetime()

df = pd.DataFrame({'year': [2015, 2016],
                   'month': [2, 3],
                   'day': [4, 5]})
pd.to_datetime(df)
0   2015-02-04
1   2016-03-05
dtype: datetime64[ns]