Python | Pandas Index.data
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 :
Index(['Jan', 'Feb', 'Mar', 'Apr', 'May'], dtype='object')
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 :
object
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 :
Int64Index([100, 200, 142, 88, 124], dtype='int64')
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 :
Int64
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.