Python | Pandas Period.start_time

Pandas is a popular data analysis library for Python. It provides various ways to work with time-series data. One of the important classes in Pandas is the Period class, which represents a single time span. In this article, we will discuss the Period.start_time attribute in Pandas.

Syntax:

Period.start_time

Description:

The start_time attribute of Period object returns the timestamp at which the current period starts. The return value is a Timestamp object, representing the date and time at the start of the Period.

Example:

import pandas as pd
p = pd.Period('2022-10-31')
print(p.start_time)

Output:

2022-10-31 00:00:00

In this example, we first created a Period object for the date 2022-10-31. Then we accessed the start_time attribute of the period object to get the timestamp at which the period starts. The output shows that the start time is 2022-10-31 00:00:00.

Note that the start_time attribute returns a Timestamp object, which is a Pandas time-series object. You can perform various operations on this object to work with time-series data.

Conclusion:

The Period.start_time attribute in Pandas returns the timestamp at which the current period starts. It is a useful attribute for working with time-series data in Pandas.