Python | Pandas Index.dtype

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.dtype

attribute return the data type (dtype) of the underlying data of the given Index object.

Syntax: Index.dtype Parameter : None Returns : dtype

Example #1:

Use

Index.dtype

attribute to find the dtype of the underlying data of the given Index object.

Python3

# 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.dtype

attribute to find the data type of the underlying data of the given series object.

Python3

# return the dtype 
result = idx.dtype 
  
# Print the result 
print(result) 

Output :

object

As we can see in the output, the

Index.dtype

attribute has returned

object

as the data type of the underlying data of the given Index object.

Example #2 :

Use

Index.dtype

attribute to find the dtype of the underlying data of the given Index object.

Python3

# 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.dtype

attribute to find the data type of the underlying data of the given series object.

Python3

# return the dtype 
result = idx.dtype 

# Print the result 
print(result) 

Output :

int64

As we can see in the output, the

Index.dtype

attribute has returned

int64

as the data type of the underlying data of the given Index object.