How to Convert Timestamp to Datetime in Pandas

1. Use Timestamp as the Time of Events in Pandas
2. the Datetime in Pandas
3. Use to_pydatetime() Function to Convert Timestamp to Datetime in Pandas
4. Conclusion

Pandas is an advanced data analysis tool or a package extension in Python.

The timestamp is the time of the event, while datetime is used to analyze and manipulate data. This is why we must learn how to convert timestamps to datetime.

Use Timestamp as the Time of Events in Pandas

First, we will create a dummy data frame to work with.

import pandas as pd

ts = pd.Timestamp("2014-01-23 00:00:00", tz=None)

The code block creates a data variable with the value as specified for a specific timestamp associated with an event.

print(ts)

Output:

2014-01-23 00:00:00

This timestamp represents the year, month, day, hour, minutes, and seconds exactly during the event.

This data is generally fetched from a local computer and is not analysis-friendly.

the Datetime in Pandas

Datetime is one of the most common data analysis types. It helps trace the movement and activity of a product.

It also helps in understanding the engagement of the product in the market.

Use to_pydatetime() Function to Convert Timestamp to Datetime in Pandas

ts.to_pydatetime()

Output.

datetime.datetime(2014, 1, 23, 0, 0)

As we can see, the timestamp has been converted to a datetime format.

Conclusion

Therefore, with the help of the to_pydatetime() function in Pandas, we can efficiently manipulate our data to have our timestamp converted to datetime.