Python | Pandas Timestamp.days_in_month
Last Updated :
08 Jan, 2019
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.
import pandas as pd
ts = pd.Timestamp(2017, 2, 15, 12)
print(ts)
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Output :
Now we will use the Timestamp.days_in_month attribute to find out the number of days in the given Timestamp object.
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.
import pandas as pd
ts = pd.Timestamp(year = 2009, month = 10,
day = 21, tz = 'Europe/Berlin')
print(ts)
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Output :
Now we will use the Timestamp.days_in_month attribute to find out the number of days in the given Timestamp object.
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.
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