Python | Pandas Timestamp.hour

Introduction

In Python, the Pandas library provides the Timestamp class to work with date and time data effectively. The hour attribute of the Timestamp class allows you to extract the hour component from a given timestamp.

This tutorial will guide you on how to use the hour attribute of the Pandas Timestamp class in Python to get the hour component from a timestamp.

Syntax

The syntax to access the hour attribute of a Timestamp object is as follows:

timestamp.hour

Example

Consider the following example where we have a timestamp representing a specific date and time:

import pandas as pd

# Creating a timestamp object
timestamp = pd.Timestamp('2022-10-31 18:45:30')

# Accessing the hour component
hour = timestamp.hour

print(hour)

Output

18

Explanation

In the above example, we first import the pandas library to use the Timestamp class. Then, we create a Timestamp object timestamp representing the date and time 2022-10-31 18:45:30.

To extract the hour component from the timestamp, we use the hour attribute as timestamp.hour. It returns the hour value as 18.

Conclusion

The hour attribute of the Pandas Timestamp class is a useful way to extract the hour component from a given timestamp. It allows you to perform various operations like filtering, grouping, or analyzing data based on the hour value.