Python Pandas - Get the total number of days of the month that the Period falls in


To get the total number of days of the month that a Period falls on, use the period.daysinmonth property.

At first, import the required libraries −

import pandas as pd

The pandas.Period represents a period of time. Creating two Period objects −

period1 = pd.Period("2020-09-23")
period2 = pd.Period(freq="D", year = 2021, month = 2, day = 14, hour = 2, minute = 35)

Display the Period objects −

print("Period1...\n", period1)
print("Period2...\n", period2)

Get the days in the month from two Period objects −

res1 = period1.daysinmonth
res2 = period2.daysinmonth

Example

Following is the code −

import pandas as pd

# The pandas.Period represents a period of time
# creating two Period objects
period1 = pd.Period("2020-09-23")
period2 = pd.Period(freq="D", year = 2021, month = 2, day = 14, hour = 2, minute = 35)

# display the Period objects
print("Period1...\n", period1)
print("Period2...\n", period2)

# get the days in the month from two Period objects
res1 = period1.daysinmonth
res2 = period2.daysinmonth

# Return the days in the month from two Period objects
print("\nReturn Days in the month from the 1st Period object ...\n", res1)
print("\nReturn Days in the month from the 2nd Period object ...\n", res2)

Output

This will produce the following code −

Period1...
2020-09-23
Period2...
2021-02-14

Return Days in the month from the 1st Period object ...
30

Return Days in the month from the 2nd Period object ...
28

Updated on: 14-Oct-2021

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