Python | Pandas TimedeltaIndex.insert
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.insert()
function return the underlying data as an ndarray of the given TimedeltaIndex object.
Syntax : TimedeltaIndex.insert(loc, item)
Parameters :
loc : int
item : if not either a Python datetime or a numpy integer-like, returned Index dtype will be object rather than datetime.
Return : new_index : Index
Example #1: Use TimedeltaIndex.insert()
function is used to insert new values in the TimedeltaIndex objects. It returns a new object having the new element inserted at the desired position.
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.insert()
function to insert a value at the 0th position
tidx.insert(loc = 0 , item = '4 days 06:05:01.000030' )
|
Output :
As we can see in the output, the TimedeltaIndex.insert()
function has inserted the passed value at the desired location in tidx object.
Example #2: Use TimedeltaIndex.insert()
function is used to insert new values in the TimedeltaIndex objects. It returns a new object having the new element inserted at the desired position.
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.insert()
function to insert a value at the 0th position
tidx.insert(loc = 0 , item = '100 days 08:11:01.000030' )
|
Output :
As we can see in the output, the TimedeltaIndex.insert()
function has inserted the passed value at the desired location in tidx object.
Like Article
Suggest improvement
Share your thoughts in the comments
Please Login to comment...