Python | Pandas Index.dtype_str

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_str

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

Syntax: Index.dtype_str Parameter : None Returns : dtype as a string

Example #1:

Use

Index.dtype_str

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

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')

Index.dtype_str

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

Python3

# return the dtype as a string
result = idx.dtype_str
 
# Print the result
print(result)

Output :

object

As we can see in the output, the

Index.dtype_str

attribute has returned the data of the underlying data of the given Index object as a string.

Example #2 :

Use

Index.dtype_str

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

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_str

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

Python3

# return the dtype as a string
result = idx.dtype_str
 
# Print the result
print(result)

Output :

int64

As we can see in the output, the

Index.dtype_str

attribute has returned the data of the underlying data of the given Index object as a string.