Python | Pandas Period.minute

Pandas is a popular library for data manipulation and analysis in Python. It provides a flexible and powerful data structure called a DataFrame, which is similar to a SQL table or an Excel spreadsheet.

In addition to DataFrames, Pandas also provides a data structure called Period, which represents a fixed-length span of time, such as a day, month, or year. The Period class has a number of useful methods for working with time-based data, including the minute attribute.

Purpose

The minute attribute of the Pandas Period class returns the minute component of a Period object. This can be useful for various data analysis tasks, such as grouping data by minute, or extracting the minute values from a datetime column.

Syntax

Period.minute

Parameters

None.

Returns

The minute component of the Period object, as an integer between 0 and 59.

Example

import pandas as pd

# create a Period object for 2020-01-01 12:30:00
period = pd.Period("2020-01-01 12:30:00", freq="T")

# print the minute component
print(period.minute)

Output:

30

In this example, we create a Period object representing the time "2020-01-01 12:30:00", with a frequency of one minute (freq="T"). We then use the minute attribute to print the minute component of the Period, which is 30.

Conclusion

The Period.minute attribute of the Pandas Period class provides a simple and convenient way to extract the minute component of a time-based data structure. This can be useful for a wide variety of data analysis tasks, from grouping data by minute to calculating statistics at a fine-grained level.