Python | Pandas PeriodIndex.daysinmonth

Pandas is a library that provides easy-to-use data structures and data analysis tools for the Python programming language. The PeriodIndex class in Pandas is used to handle time periods, which are useful for analyzing and plotting time-series data.

The daysinmonth method of the PeriodIndex class returns a NumPy array containing the number of days in each month of the period. This method can be useful for calculating the total number of days in a period or for plotting a time-series graph.

Syntax

PeriodIndex.daysinmonth(self)

Parameters

This method does not take any parameters.

Return Value

This method returns a NumPy array containing the number of days in each month of the period.

Example

import pandas as pd

# create a period index with monthly frequency
period_index = pd.period_range(start='20210101', end='20211231', freq='M')

# get the number of days in each month
days_in_month = period_index.daysinmonth

print(days_in_month)

Output:

[31 28 31 30 31 30 31 31 30 31 30 31]

In this example, we created a PeriodIndex with monthly frequency from January 2021 to December 2021. We then used the daysinmonth method to get the number of days in each month and stored it in the days_in_month variable. Finally, we printed the value of the variable, which gives us an array of length 12 containing the number of days in each month.