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.values attribute return an array representing the data in the given Index object.

Syntax: Index.values Parameter : None Returns : an array

Example #1: Use Index.values attribute to return an array representing the data in the given Index object.

 

# importing pandas as pd

import pandas as pd

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# Creating the index

idx = pd.Index(['Melbourne', 'Sanghai', 'Lisbon', 'Doha', 'Moscow', 'Rio'])

​

# Print the index

print(idx)

Output : Now we will use Index.values attribute to return an array representing the data in the given Index object.

# return an array
result = idx.values

# Print the result
print(result)

Output : As we can see in the output, the Index.values attribute has successfully returned an array representing the data of the given Index object.   Example #2 : Use Index.values attribute to return an array representing the data in the given Index object.

 

# importing pandas as pd

import pandas as pd

​

# Creating the index

idx = pd.Index([900 + 3j, 700 + 25j, 620 + 10j, 388 + 44j, 900])

​

# Print the index

print(idx)

Output : Now we will use Index.values attribute to return an array representing the data in the given Index object.

# return an array
result = idx.values

# Print the result
print(result)

Output : As we can see in the output, the Index.values attribute has successfully returned an array representing the data of the given Index object.