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.
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.