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Python | Pandas Index.values
  • Last Updated : 20 Feb, 2019

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
  
# 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.

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