Python How to Convert Timestamp to Datetime Easily

Use datetime.fromtimestamp(timestamp) from the datetime module to convert a timestamp to a datetime object in Python.

Examples

Input0

Output1970-01-01 00:00:00

Input1686000000

Output2023-06-06 00:00:00

Input-1000000000

Output1938-04-24 22:13:20

How to Think About It

To convert a timestamp (which is seconds since 1970-01-01) to a readable date and time, you use Python's datetime module. The function fromtimestamp takes the timestamp number and returns a datetime object representing that exact moment.

Algorithm

1

Get the timestamp value as input.

2

Import the datetime module.

3

Use datetime.fromtimestamp() with the timestamp.

4

Return or print the resulting datetime object.

Code

python

from datetime import datetime

timestamp = 1686000000
converted_date = datetime.fromtimestamp(timestamp)
print(converted_date)

Output

2023-06-06 00:00:00

Dry Run

Let's trace converting timestamp 1686000000 to datetime.

1

Input timestamp

timestamp = 1686000000

2

Convert using fromtimestamp

converted_date = datetime.fromtimestamp(1686000000) -> 2023-06-06 00:00:00

3

Print result

print(converted_date) outputs '2023-06-06 00:00:00'

Step	Timestamp	Datetime Result
1	1686000000	N/A
2	1686000000	2023-06-06 00:00:00
3	N/A	2023-06-06 00:00:00

Why This Works

Step 1: Timestamp meaning

A timestamp is the number of seconds since January 1, 1970 (called the Unix epoch).

Step 2: Using fromtimestamp

datetime.fromtimestamp() converts this number into a human-readable date and time.

Step 3: Result is datetime object

The result is a datetime object that you can format or use in your program.

Alternative Approaches

Using pandas to convert timestamp

python

import pandas as pd

timestamp = 1686000000
converted_date = pd.to_datetime(timestamp, unit='s')
print(converted_date)

Pandas is useful if you already use it for data analysis; it returns a Timestamp object similar to datetime.

Using time module to convert timestamp

python

import time

timestamp = 1686000000
converted_date = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(timestamp))
print(converted_date)

This returns a formatted string instead of a datetime object, useful for quick display.

Complexity: O(1) time, O(1) space

Time Complexity

Conversion uses a fixed number of operations regardless of input size, so it is O(1).

Space Complexity

Only a single datetime object is created, so space usage is constant O(1).

Which Approach is Fastest?

Using datetime.fromtimestamp() is fastest and simplest for single conversions; pandas adds overhead but helps with bulk data.

Approach	Time	Space	Best For
datetime.fromtimestamp()	O(1)	O(1)	Simple, fast conversion
pandas.to_datetime()	O(1) but heavier	O(1)	Data analysis with many timestamps
time.strftime() with localtime	O(1)	O(1)	Quick string formatting for display