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Python | Pandas Index.data
  • 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.data attribute return the data pointer of the underlying data of the given Index object.

Syntax: Index.data

Parameter : None

Returns : memory address



Example #1: Use Index.data attribute to find the memory address of the underlying data of the given Index object.




# importing pandas as pd
import pandas as pd
  
# Creating the index
idx = pd.Index(['Jan', 'Feb', 'Mar', 'Apr', 'May'])
  
# Print the index
print(idx)

Output :

Now we will use Index.data attribute to find the memory address of the underlying data of the given series object.




# return memory address
result = idx.data
  
# Print the result
print(result)

Output :

As we can see in the output, the Index.data attribute has successfully returned the data pointer of the underlying data of the given Index object.

Example #2 : Use Index.data attribute to find the memory address of the underlying data of the given Index object.






# importing pandas as pd
import pandas as pd
  
# Creating the index
idx = pd.Index([100, 200, 142, 88, 124])
  
# Print the index
print(idx)

Output :

Now we will use Index.data attribute to find the memory address of the underlying data of the given series object.




# return memory address
result = idx.data
  
# Print the result
print(result)

Output :

As we can see in the output, the Index.data attribute has successfully returned the data pointer of the underlying data of the given Index object.

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