Python | Pandas Timestamp.days_in_month

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas Timestamp.days_in_month attribute return the number of days in the month for the given date in the Timestamp object.

Syntax : Timestamp.days_in_month

Parameters : None

Return : number of days in month

Example #1: Use Timestamp.days_in_month attribute to find out the number of days in the given Timestamp object.

# importing pandas as pd
import pandas as pd

# Create the Timestamp object
ts = pd.Timestamp(2017, 2, 15, 12)

# Print the Timestamp object
print(ts)

Output :

Now we will use the Timestamp.days_in_month attribute to find out the number of days in the given Timestamp object.

# return the number of days in month
ts.days_in_month

Output :

As we can see in the output, the Timestamp.days_in_month attribute has returned 28 indicating that there are 28 days in the month of the given Timestamp object.

Example #2: Use Timestamp.days_in_month attribute to find out the number of days in the given Timestamp object.

# importing pandas as pd
import pandas as pd

# Create the Timestamp object
ts = pd.Timestamp(year = 2009, month = 10,
           day = 21, tz = 'Europe/Berlin')

# Print the Timestamp object
print(ts)

Output :

Now we will use the Timestamp.days_in_month attribute to find out the number of days in the given Timestamp object.

# return the number of days in month
ts.days_in_month

Output :

As we can see in the output, the Timestamp.days_in_month attribute has returned 31 indicating that there are 31 days in the month of the given Timestamp object.