Python | Pandas DatetimeIndex.month
Last Updated :
24 Dec, 2018
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.month
attribute outputs an Index object containing numeric values corresponding to each entry in the DatetimeIndex object. It outputs the month as January=1, December=12 and corresponding numeric values for each month in between.
Syntax: DatetimeIndex.month
Return: Index containing months.
Example #1: Use DatetimeIndex.month
attribute to find the months present in the DatetimeIndex.
import pandas as pd
didx = pd.DatetimeIndex(start = '2014-08-01 10:00' , freq = 'B' ,
periods = 5 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find all the month values present in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the numeric value corresponding to months of each entry in the DatetimeIndex object.
Example #2: Use DatetimeIndex.month
attribute to find the months present in the DatetimeIndex.
import pandas as pd
didx = pd.DatetimeIndex(start = '2014-08-01 10:00' , freq = 'M' ,
periods = 5 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find all the month values present in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the numeric value corresponding to months of each entry in the DatetimeIndex object.
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