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.nanosecond attribute outputs an Index object containing the nanosecond values present in each of the entries of the DatetimeIndex object.
Syntax: DatetimeIndex.nanosecond
Return: Index containing nanosecond.
Example #1: Use DatetimeIndex.nanosecond attribute to find the nanosecond value present in the DatetimeIndex object.
# importing pandas as pd import pandas as pd   # Create the DatetimeIndex # Here 'N' represents nanoseconds didx = pd.DatetimeIndex(start ='2014-08-01 10:05:45', freq ='N',                               periods = 5, tz ='Asia/Calcutta')   # Print the DatetimeIndex print(didx) |
Output :
Now we want to find all the nanoseconds value present in the DatetimeIndex object.
# find all the nanosecond values present in the object didx.nanosecond |
Output :
As we can see in the output, the function has returned an Index object containing the nanosecond values present in each entry of the DatetimeIndex object.
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Example #2: Use DatetimeIndex.nanosecond attribute to find the nanosecond value present in the DatetimeIndex object.
# importing pandas as pd import pandas as pd   # Create the DatetimeIndex didx = pd.DatetimeIndex(['2014-08-01 10:05:45.000000010 + 05:30',                          '2014-08-01 10:05:45.000000021 + 05:35'])   # Print the DatetimeIndex print(didx) |
Output :
Now we want to find all the nanoseconds value present in the DatetimeIndex object.
# find all the nanosecond values present in the object didx.nanosecond |
Output :
As we can see in the output, the function has returned an Index object containing the nanosecond values present in each entry of the DatetimeIndex object.
