search
Search
Publish
menu
menu search toc more_vert
Robocat
Guest 0reps
Thanks for the thanks!
close
Comments
Log in or sign up
Cancel
Post
account_circle
Profile
exit_to_app
Sign out
help Ask a question
Share on Twitter
search
keyboard_voice
close
Searching Tips
Search for a recipe: "Creating a table in MySQL"
Search for an API documentation: "@append"
Search for code: "!dataframe"
Apply a tag filter: "#python"
Useful Shortcuts
/ to open search panel
Esc to close search panel
to navigate between search results
d to clear all current filters
Enter to expand content preview
icon_star
Doc Search
icon_star
Code Search Beta
SORRY NOTHING FOUND!
mic
Start speaking...
Voice search is only supported in Safari and Chrome.
Navigate to
A
A
share
thumb_up_alt
bookmark
arrow_backShare
Twitter
Facebook

Python Datetime | fromtimestamp method

Programming
chevron_right
Python
chevron_right
Standard Library
chevron_right
Datetime
chevron_right
Documentation
schedule Mar 10, 2022
Last updated
local_offer Python
Tags
tocTable of Contents
expand_more

Python’s date.fromtimestamp(~) method converts a Unix timestamp to a date object.

NOTE

A Unix timestamp is the number of seconds between a particular date and January 1, 1970 UTC.

Parameters

1. timestamp | Unix timestamp

The Unix timestamp to convert to corresponding date object.

Return value

A date object based off the provided Unix timestamp.

Examples

To return date object from Unix timestamp 1476561252:

from datetime import date
timestamp = date.fromtimestamp(1476561252)
print(timestamp)
print(type(timestamp))
2016-10-16
<class 'datetime.date'>

To return date object from current Unix timestamp:

import datetime
import time

timestamp = time.time()
print(timestamp)

date_object = date.fromtimestamp(timestamp)
print(date_object)
1610854011.17864
2021-01-17
robocat
Published by Arthur Yanagisawa
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Ask a question or leave a feedback...
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
A modern learning experience for data science and analytics