Python | Pandas TimedeltaIndex.get_values
Last Updated :
28 Dec, 2018
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.get_values()
function return the underlying data as an ndarray of the given TimedeltaIndex object.
Syntax : TimedeltaIndex.get_values()
Parameters : None
Return : ndarray
Example #1: Use TimedeltaIndex.get_values()
function to return the underlying data of the given TimedeltaIndex object as an ndarray.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '3 days 06:05:01.000030' , '1 days 06:05:01.000030' ,
'3 days 06:05:01.000030' , '1 days 02:00:00' ,
'21 days 06:15:01.000030' ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.get_values()
function to return the data of tidx as an ndarray
Output :
As we can see in the output, the TimedeltaIndex.get_values()
function has returned the data of the tidx object as an ndarray.
Example #2: Use TimedeltaIndex.get_values()
function to return the underlying data of the given TimedeltaIndex object as an ndarray.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '06:05:01.000030' , '3 days 06:05:01.000030' ,
'22 day 2 min 3us 10ns' , '+23:59:59.999999' ,
'13 days 06:05:01.000030' , '+12:19:59.999999' ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.get_values()
function to return the data of tidx as an ndarray
Output :
As we can see in the output, the TimedeltaIndex.get_values()
function has returned the data of the tidx object as an ndarray.
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