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 Period.qyear attribute return the fiscal year the Period lies in according to its starting-quarter. The year and the qyear of the period will be the same if the fiscal and calendar years are the same. When they are not, the fiscal year can be different from the calendar year of the period.
Syntax : Period.qyear
Parameters : None
Return : fiscal year
Example #1: Use Period.qyear attribute to find the fiscal year the period lies in for the given Period object.
# importing pandas as pd import pandas as pd # Create the Period object prd = pd.Period(freq ='S', year = 2000, month = 2, day = 21, hour = 8, minute = 21) # Print the Period object print(prd) |
Output :
Now we will use the Period.qyear attribute to find the fiscal year
# return the fiscal year prd.qyear |
Output :
As we can see in the output, the Period.qyear attribute has returned 2000 indicating that the given period lies in the year of 2000.
Example #2: Use Period.qyear attribute to find the fiscal year the period lies in for the given Period object.
# importing pandas as pd import pandas as pd # Create the Period object prd = pd.Period(freq ='T', year = 2006, month = 10, hour = 15, minute = 49) # Print the Period object print(prd) |
Output :
Now we will use the Period.qyear attribute to find the fiscal year
# return the fiscal year prd.qyear |
Output :
As we can see in the output, the Period.qyear attribute has returned 2006 indicating that the given period lies in the year of 2006.
