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.daysinmonth attribute return the number of days in the month for the given date in the Timestamp object.
Syntax : Timestamp.daysinmonth
Parameters : None
Return : number of days in month
Example #1: Use Timestamp.daysinmonth 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.daysinmonth attribute to find out the number of days in the given Timestamp object.
# return the number of days in month ts.daysinmonth |
Output :
As we can see in the output, the Timestamp.daysinmonth attribute has returned 28 indicating that there are 28 days in the month of the given Timestamp object.
Example #2: Use Timestamp.daysinmonth 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.daysinmonth attribute to find out the number of days in the given Timestamp object.
# return the number of days in month ts.daysinmonth |
Output :
As we can see in the output, the Timestamp.daysinmonth attribute has returned 31 indicating that there are 31 days in the month of the given Timestamp object.
