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.has_duplicates attribute return a boolean value. It return True if the Timedeltaindex object contains duplicate values else it return False indicating there is no duplicate values present in the object.
Syntax: TimedeltaIndex.has_duplicates
Return : boolean
Example #1: Use TimedeltaIndex.has_duplicates attribute to check if there is any duplicate value present in the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['1 days 02:00:00', '1 days 06:05:01.000030', '1 days 02:00:00']) # Print the TimedeltaIndex print(tidx) |
Output :
Now we will check if there is any duplicate value present in the given TimedeltaIndex object.
# check for duplicates tidx.has_duplicates |
Output :
As we can see in the output, the TimedeltaIndex.has_duplicates attribute has returned True indicating there is duplicate value present in the object.
Example #2: Use TimedeltaIndex.has_duplicates attribute to check if there is any duplicate value present in the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['-1 days 2 min 3us', '1 days 06:05:01.000030', '-1 days + 23:59:59.999999']) # Print the TimedeltaIndex print(tidx) |
Output :
Now we will check if there is any duplicate value present in the given TimedeltaIndex object.
# check for duplicates tidx.has_duplicates |
Output :
As we can see in the output, the TimedeltaIndex.has_duplicates attribute has returned False indicating there is no duplicate value present in the object.
