Python to_timestamp Easiest Way to Implement with Examples

In this tutorial, we look at what Python to_timestamp is and the easiest way to implement it. We will understand how to import timestamp, get time in pandas, and convert strings to timestamp to date and time.

Introduction

Python is a great language for analyzing data, mostly because it has a great ecosystem of packages that focus on data. Pandas is one of these packages, and it makes it much easier to import data and look at it.

A timestamp is a date and time that an event takes place. In Python, we can get an event’s timestamp within a few milliseconds. Python’s timestamp format gives back the amount of time that has passed since the epoch time, which is set to 00:00:00 UTC on January 1, 1970.

What is Python to_timestamp?

Pandas Period.to_timestamp() function returns the Timestamp representation of the Period at the target frequency at the specified end (how) of the Period.

Syntax

Period.to_timestamp()

Parameters :

• freq : Target frequency. Default is ‘D’ if self.freq is week or longer and ‘S’ otherwise.
• how : ‘S’, ‘E’. Can be aliased as case insensitive ‘Start’, ‘Finish’, ‘Begin’, ‘End’
• Return : Timestamp

Pandas DataFrame.to_timestamp(~) method converts the row index or column index to DatetimeIndex.

Parameters:

• freq: str, default frequency of PeriodIndex.
• how: {‘s’, ‘e’, ‘start’, ‘end’}. How to turn a period into a timestamp; start of period vs. end of the period.
• axis: {0 or ‘index’, 1 or ‘columns’}, default 0. Axis to be converted (the index by default).
• copy: bool, default True. If False, then the original data that was put in is not copied.
• Returns : DataFrame with DatetimeIndex

Example program

import pandas as pd
  
prd = pd.Period(freq ='S', year = 2000, month = 2, day = 22,
                         hour = 8, minute = 21, second = 24)
  
print(prd)

We use the Period.to_timestamp() method to return the specified period as a Timestamp object at the specified frequency. Then, now we will use the Period.to_timestamp() function to return the given period object as a timestamp object.

What is PD timestamp?

Pandas pandas.Timestamp() function returns the time expressed as the number of seconds that have passed since January 1, 1970. That zero moment is known as the epoch.

Replacement of Pandas python datetime.datetime object.

The timestamp is the panda equivalent of python’s Datetime and is interchangeable with it in most cases. It’s the type used for the entries that make up a DatetimeIndex, and other timeseries-oriented data structures in pandas.

How do I get time in pandas?

import pandas as pd
import datetime

timestamp = pd.Timestamp(datetime.datetime(2021, 10, 10))

print("Timestamp: ", timestamp)

print("Day Name:", timestamp.day_name())

res = timestamp.today()

print("\nToday's Date and time...\n", res)

print("Today's Day:", res.day_name())

Output:

Timestamp: 2021-10-10 00:00:00
Day Name: Sunday

Today's Date and time...
2021-10-03 13:22:28.891506
Today's Day: Sunday

How do I import a timestamp?

Example:

from datetime import datetime

timestamp = 1586507536367
dt_object = datetime.fromtimestamp(timestamp)

import time 
ts = time.time() 
// OR
import datetime; 
ct = datetime.datetime.now() 
ts = ct.timestamp() 

How do I convert a string to a timestamp in Python?

import time
import datetime
  
string = "20/01/2020"
  
element = datetime.datetime.strptime(string,"%d/%m/%Y")
  
timestamp = datetime.datetime.timestamp(element)
print(timestamp)

Output

1579458600.0

Program explanation:

• import datetime is used to import the date and time modules
• After importing date time module next step is to accept the date string as an input and then store it in a variable
• Then we use strptime method. This method takes two arguments
  • The first argument is the string format of the date and time
  • The second argument is the format of the input string
• Then it returns date and time value in timestamp format, and we store this in timestamp variable.

How do you add two timestamps in Python?

import datetime as dt
t1 = dt.datetime.strptime('12:00:00', '%H:%M:%S')
t2 = dt.datetime.strptime('02:00:00', '%H:%M:%S')
time_zero = dt.datetime.strptime('00:00:00', '%H:%M:%S')
print((t1 - time_zero + t2).time())

Output

14:00:00

What is timestamp value?

The timestamp value is equivalent to Datetime in Python and may be used interchangeably in most situations. It is the type used for DatetimeIndex entries and other time-series-oriented pandas data structures.

Conclusion

In this tutorial, we learned what Python to_timestamp is. We also learned how to get time in panda and import timestamp. We also convert strings to timestamps using Python. To learn more about what string is, visit our previous article.

The parameters and syntax are the easiest ways we should remember in order to get the timestamp. However, it is necessary to understand and practice it to enhance our programming skills.

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Common use cases for Python to_timestamp Easiest Way to Implement

• Data pipelines. Python is the standard for ETL, data analysis, and ML workflows.
• Web development. Django and FastAPI power modern web backends and APIs.
• Automation and scripting. System administration, file processing, web scraping, and cron jobs.
• Machine learning. scikit-learn, PyTorch, TensorFlow, Hugging Face for AI/ML projects.
• Educational tools. Python’s readability makes it the go-to teaching language.

Working code example

from typing import Optional

def process_data(items: list[dict]) -> Optional[dict]:
    """Process a list of items and return summary stats."""
    if not items:
        return None
    return {
        "count": len(items),
        "total": sum(item.get("value", 0) for item in items),
        "avg": sum(item.get("value", 0) for item in items) / len(items),
    }

# Usage
data = [{"value": 10}, {"value": 20}, {"value": 30}]
summary = process_data(data)
print(summary)  # {'count': 3, 'total': 60, 'avg': 20.0}

Best practices

• Use type hints. list[dict], Optional[str], and TypedDict make code self-documenting and enable static analysis.
• Follow PEP 8. Consistent style improves readability. Use black or ruff to auto-format.
• Prefer f-strings. f”{value}” is cleaner than str.format() or % formatting.
• Write tests with pytest. Aim for 70%+ coverage on business-critical modules.
• Use ruff or pylint. Static analysis catches many bugs before code runs.

Common pitfalls

• Mutable default arguments. def f(x=[]) reuses the same list across calls. Use x=None then check.
• Integer division. 5/2 gives 2.5 in Python 3. Use // for floor division.
• Missing self on methods. Class methods need self as first parameter.
• Late binding closures. Loops that create lambdas can capture variables late.

Glay Eliver

Programmer & Technical Writer at PIES IT Solution

Glay Eliver is a programmer and writer at PIES IT Solution, author of over 600 tutorials at itsourcecode.com. Specializes in JavaScript tutorials, Microsoft Office how-tos (Excel, Word, PowerPoint), and Python error debugging covering ImportError, TypeError, AttributeError, ModuleNotFoundError, and JavaScript ReferenceError. Authored several of the site’s highest-traffic Excel and MS Office reference articles.

Expertise: JavaScript · MS Excel · MS Word · MS PowerPoint · Python · Python ImportError · Python TypeError · Python AttributeError · ModuleNotFoundError · JavaScript ReferenceError · Pygame
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