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.
import pandas as pd
idx = pd.Index([ 'Jan' , 'Feb' , 'Mar' , 'Apr' , 'May' ])
print (idx)
|
Output :

Now we will use Index.data
attribute to find the memory address of the underlying data of the given series object.
result = idx.data
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.
import pandas as pd
idx = pd.Index([ 100 , 200 , 142 , 88 , 124 ])
print (idx)
|
Output :

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