A Timestamp object in pandas is an equivalent of Python's datetime object. It is a combination of date and time fields.
To combine date and time into a Timestamp object, we use the Timestamp.combine() function in pandas.
The syntax to combine date and time into a timestamp is:
Timestamp.combine(date, time)
The Timestamp.combine() function takes the following parameter values:
date: This is a datetime.date object representing the date field.time: This is a datetime.time object representing the time field.The Timestamp.combine() function returns a Timestamp object formed from the combination of the date and time object.
Let's look at the code below:
# A code to illustrate the Timestamp.combine() function in Pandas# impoting the pandas libraryimport pandas as pd# importing the date and time modulefrom datetime import date, time# creating a Timestamp object from the date and time combinationmy_datetime = pd.Timestamp.combine(date(2022, 4, 29), time(8,54,15))print(my_datetime)
pandas library.date and time modules.Timestamp.combine() function by combining the date and time. Thereby, we form a datetime object. We assign the value to a variable, my_datetime.my_datetime.