Python | Pandas TimedeltaIndex.total_seconds()
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.total_seconds()
function is used to find the total duration of each element expressed in seconds. It returns an index object.
Syntax : TimedeltaIndex.total_seconds()
Parameters : None
Return : index
Example #1: Use TimedeltaIndex.total_seconds()
function to find out the total time duration of each element of the given TimedeltaIndex object expressed in seconds.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '06:05:01.000030' , '+23:59:59.999999' ,
'22 day 2 min 3us 10ns' , '+23:29:59.999999' ,
'+12:19:59.999999' ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.total_seconds()
function to find the total seconds for each element of the tidx object.
Output :
As we can see in the output, the TimedeltaIndex.total_seconds()
function has returned an index object containing the time duration for each element of the TimedeltaIndex object expressed in seconds.
Example #2: Use TimedeltaIndex.total_seconds()
function to find out the total time duration of each element of the given TimedeltaIndex object expressed in seconds.
import pandas as pd
tidx = pd.TimedeltaIndex(start = '1 days 02:00:12.001124' ,
periods = 5 , freq = 'D' , name = 'Koala' )
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.total_seconds()
function to find the total seconds for each element of the tidx object.
Output :
As we can see in the output, the TimedeltaIndex.total_seconds()
function has returned an index object containing the time duration for each element of the TimedeltaIndex object expressed in seconds.
Last Updated :
06 Jan, 2019
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