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. Python3

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index(['Melbourne', 'Sanghai', 'Lisbon', 'Doha', 'Moscow'])

# Print the index
print(idx)

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. Python3 1==

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

# Print the result
print(result)

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. Python3

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index([900, 700, 620, 388, 900])

# Print the index
print(idx)

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. Python3 1==

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

# Print the result
print(result)

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.