Pandas to Python Datetime

Pandas is a popular library for data manipulation and analysis in the Python programming language. One of the key features of Pandas is its ability to work with datetime objects. In this tutorial, we will explore how to convert Pandas datetime objects to Python datetime objects.

Converting Pandas Datetime to Python Datetime

To convert a Pandas datetime object to a Python datetime object, we can use the to_pydatetime() method. This method will convert the Pandas datetime object to a Python datetime object.

import pandas as pd

# create a Pandas datetime object
pandas_dt = pd.to_datetime("2022-01-01 12:00:00")

# convert Pandas datetime to Python datetime
python_dt = pandas_dt.to_pydatetime()

print(python_dt)

Output:

2022-01-01 12:00:00

Converting Pandas Timestamp to Python Datetime

In Pandas, timestamps are similar to datetime objects, but they have some additional features, such as time zone support. To convert a Pandas timestamp to a Python datetime object, we can use the to_pydatetime() method.

import pandas as pd

# create a Pandas timestamp object
pandas_ts = pd.Timestamp("2022-01-01 12:00:00")

# convert Pandas timestamp to Python datetime
python_dt = pandas_ts.to_pydatetime()

print(python_dt)

Output:

2022-01-01 12:00:00

Conclusion

In this tutorial, we explored how to convert Pandas datetime objects to Python datetime objects using the to_pydatetime() method. Understanding how to convert between these two types of datetime objects is important for working with time series data in Pandas.