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 TimedeltaIndex.nanoseconds attribute return the number of nanoseconds for each element in the TimedeltaIndex object. The value returned ranges from 0 to less than 1 microsecond.
Syntax : TimedeltaIndex.nanoseconds
Return : index object
Example #1: Use TimedeltaIndex.nanoseconds attribute to find out the nanoseconds value for each entry of the TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(start ='1 days 02:00:12.001124', periods = 5, freq ='N', name ='Koala') # Print the TimedeltaIndex print(tidx) |
Output :
Now we will print the number of nanoseconds in each entry of the object.
# find nanoseconds number tidx.nanoseconds |
Output :
As we can see in the output, the TimedeltaIndex.nanoseconds attribute has returned the number of nanoseconds in each element of the object.
Example #2: Use TimedeltaIndex.nanoseconds attribute to find out the nanoseconds value for each entry of the TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['-1 days 2 min 3us 10ns', '1 days 06:05:01.000030', '-1 days + 23:59:59.999999']) # Print the TimedeltaIndex print(tidx) |
Output :
Now we will print the number of nanoseconds in each entry of the object.
# find nanoseconds number tidx.nanoseconds |
Output :
As we can see in the output, the TimedeltaIndex.nanoseconds attribute has returned the number of nanoseconds in each element of the object.
