Python | Pandas Index.is_unique

Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object which stores the axis labels for all pandas objects.

Pandas Index.is_unique attribute return True if the underlying data in the given Index object is unique else it return False.

Syntax: Index.is_unique

Parameter : None

Returns : boolean



Example #1: Use Index.is_unique attribute to find out if the underlying data in the given Index object is unique or not.

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# importing pandas as pd
import pandas as pd
  
# Creating the index
idx = pd.Index(['Melbourne', 'Sanghai', 'Lisbon', 'Doha', 'Moscow'])
  
# Print the index
print(idx)

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Output :

Now we will use Index.is_unique attribute to find out if the underlying data in the given Index object is unique or not.

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# check if the values in the Index
# is unique or not.
result = idx.is_unique
  
# Print the result
print(result)

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Output :

As we can see in the output, the Index.is_unique attribute has returned True indicating that the underlying data of the given Index object is unique.
 
Example #2 : Use Index.is_unique attribute to find out if the underlying data in the given Index object is unique or not.

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# importing pandas as pd
import pandas as pd
  
# Creating the index
idx = pd.Index([900, 700, 620, 388, 900])
  
# Print the index
print(idx)

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Output :

Now we will use Index.is_unique attribute to find out if the underlying data in the given Index object is unique or not.

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close

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# check if the values in the Index
# is unique or not.
result = idx.is_unique
  
# Print the result
print(result)

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Output :

As we can see in the output, the Index.is_unique attribute has returned False indicating that the underlying data of the given Index object is not unique.




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