Open In App

Python | Pandas Index.dtype_str

Improve
Improve
Like Article
Like
Save
Share
Report

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.




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




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


Output :

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.




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




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


Output :

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.



Last Updated : 20 Feb, 2019
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads