Python | Pandas DatetimeIndex.microsecond
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.microsecond
attribute outputs an Index object containing the microsecond values present in each of the entries of the DatetimeIndex object.
Syntax: DatetimeIndex.microsecond
Return: Index containing microsecond.
Example #1: Use DatetimeIndex.microsecond
attribute to find the microsecond value present in the DatetimeIndex object.
import pandas as pd
didx = pd.DatetimeIndex(start = '2014-08-01 10:05:45' , freq = 'U' ,
periods = 5 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find all the microseconds value present in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the microsecond values present in each entry of the DatetimeIndex object.
Example #2: Use DatetimeIndex.microsecond
attribute to find the microsecond value present in the DatetimeIndex object.
import pandas as pd
didx = pd.DatetimeIndex([ '2014-08-01 10:05:45.000001 + 05:30' ,
'2014-08-01 10:05:45.000010 + 05:30' ])
print (didx)
|
Output :
Now we want to find all the microseconds value present in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the microsecond values present in each entry of the DatetimeIndex object.
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