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.resolution attribute return a string representing the lowest resolution that we have for the given TimedeltaIndex object.
Syntax : TimedeltaIndex.resolution
Return : string
Example #1: Use TimedeltaIndex.resolution attribute to find out the lowest resolution available for the given 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 find the lowest resolution that we have for the given object.
# return the lowest resolution available for the tidx object tidx.resolution |
Output :
As we can see in the output, the TimedeltaIndex.resolution attribute has returned ‘nanosecond’ as the lowest resolution available for the given tidx object.
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Example #2: Use TimedeltaIndex.resolution attribute to find out the lowest resolution available for the given 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 find the lowest resolution that we have for the given object.
# return the lowest resolution available for the tidx object tidx.resolution |
Output :
As we can see in the output, the TimedeltaIndex.resolution attribute has returned ‘day’ as the lowest resolution available for the given tidx object.
