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.drop_duplicates() function return Index with duplicate values removed. The function provides the flexibility to choose which duplicate value to keep and rest to drop.
Syntax : TimedeltaIndex.drop_duplicates(keep=’first’)Â
Parameters : keep : {‘first’, ‘last’, False}, default ‘first’ -> first : Drop duplicates except for the first occurrence. -> last : Drop duplicates except for the last occurrence. -> False : Drop all duplicatesÂ
Return : deduplicated : Index
Example #1: Use TimedeltaIndex.drop_duplicates() function to drop all the duplicate value from the given TimedeltaIndex object. Keep the first occurrences only.Â
Python3
# importing pandas as pdimport pandas as pdÂ
# Create the TimedeltaIndex objecttidx = pd.TimedeltaIndex(data =['06:05:01.000030', '+23:59:59.999999',                                '22 day 2 min 3us 10ns', '+23:59:59.999999',                                 '+23:29:59.999999', '+12:19:59.999999'])Â
# Print the TimedeltaIndex objectprint(tidx) |
Output :
 
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Now we will use the TimedeltaIndex.drop_duplicates() function to drop all the duplicate values while keeping the first occurrence.Â
Python3
# drop all duplicates and keep the first occurrencetidx.drop_duplicates(keep ='first') |
Output :
 As we can see in the output, the TimedeltaIndex.drop_duplicates() function has returned a new object which has all the duplicate values removed except the first occurrence.  Â
Example #2: Use TimedeltaIndex.drop_duplicates() function to drop all the duplicate value from the given TimedeltaIndex object. Keep the last duplicate value.Â
Python3
# importing pandas as pdimport pandas as pdÂ
# Create the TimedeltaIndex objecttidx = pd.TimedeltaIndex(data =['1 days 02:00:00', '1 days 06:05:01.000030',           '1 days 02:00:00', '1 days 02:00:00', '21 days 06:15:01.000030'])Â
# Print the TimedeltaIndex objectprint(tidx) |
Output :
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Now we will use the TimedeltaIndex.drop_duplicates() function to drop all the duplicate values while keeping the last occurrence.Â
Python3
# drop all duplicates and keep the first occurrencetidx.drop_duplicates(keep ='last') |
Output :
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 As we can see in the output, the TimedeltaIndex.drop_duplicates() function has returned a new object which has all the duplicate values removed except the last occurrence.
