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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Output :
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Python3
Output :
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Period.month attribute return an integer value. The returned value represents the value of month in the given period object. January being 1 to December being 12.
Syntax : Period.month Parameters : None Return : monthExample #1: Use
Period.month attribute to find the value of month in 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)
Now we will use the Period.month attribute to find out value of month in prd object.
# return value of month
prd.month
As we can see in the output, the Period.month attribute has returned 2 indicating that the given period object has 'February' as a month.
Example #2: Use Period.month attribute to find the value of month in 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)
Now we will use the Period.month attribute to find out value of month in prd object.
# return value of month
prd.month
Output :
As we can see in the output, the
As we can see in the output, the Period.month attribute has returned 10 indicating that the given period object has 'October' as a month.