Timestampas the Time of Events in Pandas
to_pydatetime()Function to Convert Timestamp to Datetime in Pandas
Pandas is an advanced
data analysis tool or a package extension in Python.
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.
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.
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.
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.
to_pydatetime() Function to Convert Timestamp to Datetime in Pandas
datetime.datetime(2014, 1, 23, 0, 0)
As we can see, the timestamp has been converted to a
Therefore, with the help of the
to_pydatetime() function in Pandas, we can efficiently manipulate our data to have our
timestamp converted to