How to combine date and time into a Timestamp object in pandas

Overview

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.

Syntax

The syntax to combine date and time into a timestamp is:

Timestamp.combine(date, time)
Syntax for the Timestamp.combine() function

Parameters

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.

Return value

The Timestamp.combine() function returns a Timestamp object formed from the combination of the date and time object.

Example

Let's look at the code below:

# A code to illustrate the Timestamp.combine() function  in Pandas



# impoting the pandas library

import pandas as pd



# importing the date and time module

from datetime import date, time



# creating a Timestamp object from the date and time combination

my_datetime = pd.Timestamp.combine(date(2022, 4, 29), time(8,54,15))



print(my_datetime)

Explanation

  • Line 4: We import the pandas library.
  • Line 7: We import the date and time modules.
  • Line 10: We implement the Timestamp.combine() function by combining the date and time. Thereby, we form a datetime object. We assign the value to a variable, my_datetime.
  • Line 12: We print the value of the variable, my_datetime.

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