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.delete() function make a new DatetimeIndex with passed location deleted. The function can delete more than one locations at a time. It takes the index of the label to be deleted as the parameter.
Syntax : TimedeltaIndex.delete(loc)
Parameters :
loc : Indicate which sub-arrays to remove.Return : new_index : TimedeltaIndex
Example #1: Use TimedeltaIndex.delete() function to delete the passed index from the TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['06:05:01.000030', '+23:59:59.999999', '22 day 2 min 3us 10ns', None]) # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.delete() function to delete the value at 1st index.
Note : The index value begins from 0.
# delete the passed index tidx.delete(1) |
Output :
As we can see in the output, the TimedeltaIndex.delete() function has deleted the passed index and has returned a new object.
Example #2: Use TimedeltaIndex.delete() function to delete the passed index from the TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the first TimedeltaIndex object tidx = pd.TimedeltaIndex(start ='1 days 02:00:12.001124', periods = 8, freq ='N', name ='Koala') # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.delete() function to delete the value at the passed index.
Note : The index value begins from 0.
# delete the passed indexes tidx.delete([2, 3, 4]) |
Output :
As we can see in the output, the TimedeltaIndex.delete() function has deleted the passed indexes and has returned a new object.
