Python | Pandas TimedeltaIndex.to_series()
Last Updated :
06 Jan, 2019
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.to_series()
function create a Series with both index and values equal to the index keys useful with map for returning an indexer based on an index.
Syntax : TimedeltaIndex.to_series(index = None, name = None)
Parameters :
index :index of resulting Series. If None, defaults to original index (Index, optional)
name :name of resulting Series. If None, defaults to name of original index (string, optional)
Return : Series : dtype will be based on the type of the Index values.
Example #1: Use TimedeltaIndex.to_series()
function to construct a Series object from the given TimedeltaIndex object.
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.to_series()
function to construct a Series object using tidx.
Output :
As we can see in the output, the TimedeltaIndex.to_series()
function has returned a newly constructed Series object using the tidx object. Notice the index of the Series is also constructed using the labels of the given object.
Example #2: Use TimedeltaIndex.to_series()
function to construct a Series object from the given TimedeltaIndex object.
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.to_series()
function to construct a Series object using tidx.
Output :
As we can see in the output, the TimedeltaIndex.to_series()
function has returned a newly constructed Series object using the tidx object. Notice the index of the Series is also constructed using the labels of the given object.
Share your thoughts in the comments
Please Login to comment...