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 DatetimeIndex.day attribute outputs an Index object containing the days in each of the entries of the DatetimeIndex object.
Syntax: DatetimeIndex.day
Return: Index containing days.
Example #1: Use DatetimeIndex.day attribute to find the days present in the DatetimeIndex object.
# importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here the 'W' represents Weekly frequency didx = pd.DatetimeIndex(start ='2014-08-01 10:00', freq ='W', periods = 5, tz ='Asia/Calcutta') # Print the DatetimeIndex print(didx) |
Output :
Now we want to find all the day values present in the DatetimeIndex object.
# find all the days present in the object didx.day |
Output :
As we can see in the output, the function has returned an Index object containing the days value corresponding to days of each entry in the DatetimeIndex object.
Example #2: Use DatetimeIndex.day attribute to find the days present in the DatetimeIndex object.
# importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here the 'M' represents Month end frequency didx = pd.DatetimeIndex(start ='2014-08-01 10:00', freq ='M', periods = 5, tz ='Asia/Calcutta') # Print the DatetimeIndex print(didx) |
Output :
Now we want to find all the day values present in the DatetimeIndex object.
# find all the months in the object didx.day |
Output :
As we can see in the output, the function has returned an Index object containing the days value corresponding to days of each entry in the DatetimeIndex object.