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
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Output :
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Python3
Output :
As we can see in the output, the
Python3
Output :
Now we will use the
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Period.day attribute returns the day of the month for the given Period object. It returns an integer value.
Syntax : Period.day Parameters : None Return : dayExample #1: Use
Period.day attribute to find the day in the given Period object.
# importing pandas as pd
import pandas as pd
# Create the Period object
prd = pd.Period(freq ='D', year = 2001, month = 1, day = 21)
# Print the Period object
print(prd)
Now we will use the Period.day attribute to find the day of the month in the given object.
# return the day value
prd.day
As we can see in the output, the Period.day attribute has returned 21 which is the value of day in the given period object.
Example #2: Use Period.day attribute to find the day in the given Period object.
# importing pandas as pd
import pandas as pd
# Create the Period object
prd = pd.Period(freq ='Q', year = 2006, quarter = 1)
# Print the object
print(prd)
Now we will use the Period.day attribute to find the day of the month in the given object.
# return the day value
prd.day
Output :
As we can see in the output, the
As we can see in the output, the Period.day attribute has returned 31 which is the value of day in the given period object.