Python | Pandas TimedeltaIndex.is_unique
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.is_unique
attribute checks if all the entries in the TimedeltaIndex is unique or not. If the entries are not unique, False
value is returned else True
value is returned.
Syntax : TimedeltaIndex.is_unique
Return : boolean
Example #1: Use TimedeltaIndex.is_unique
attribute to check if the entries in the TimedeltaIndex object is unique or not.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(start = '1 days 02:00:00' , periods = 5 , freq = 'T' ) # Print the TimedeltaIndex print (tidx) |
Output :
Now we will check if the TimedeltaIndex object contain unique entries or not.
# check if tidx is containing unique values or not. tidx.is_unique |
Output :
As we can see in the output, the TimedeltaIndex.is_unique
attribute has returned True
indicating that value in tidx object is unique.
Example #2: Use TimedeltaIndex.is_unique
attribute to check if the entries in the TimedeltaIndex object is unique or not.
# 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 the TimedeltaIndex object contain unique entries or not.
# check if tidx is containing unique values or not. tidx.is_unique |
Output :
As we can see in the output, the TimedeltaIndex.is_unique
attribute has returned False
indicating that value in tidx object are not unique.
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