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.hour attribute outputs an Index object containing the hour values present in each of the entries of the DatetimeIndex object.
Syntax: DatetimeIndex.hour
Return: Index containing hours.
Example #1: Use DatetimeIndex.hour attribute to find the hour values present in the DatetimeIndex object.
# importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here the 'BH' represents business hour frequency didx = pd.DatetimeIndex(start ='2014-08-01 10:00', freq ='BH', periods = 5, tz ='Asia/Calcutta') # Print the DatetimeIndex print(didx) |
Output :
Now we want to find all the hour values present in the DatetimeIndex object.
# find all the hour values present in the object didx.hour |
Output :
As we can see in the output, the function has returned an Index object containing the hour values present in each entry of the DatetimeIndex object.
Example #2: Use DatetimeIndex.hour attribute to find the hour values present in the DatetimeIndex object.
# importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here the 'H' represents hourly frequency didx = pd.DatetimeIndex(start ='2000-01-10 06:30', freq ='H', periods = 3, tz ='Asia/Calcutta') # Print the DatetimeIndex print(didx) |
Output :
Now we want to find all the hour values present in the DatetimeIndex object.
# find all the hour values present in the object didx.hour |
Output :
As we can see in the output, the function has returned an Index object containing the hour values present in each entry of the DatetimeIndex object.
