Python | Pandas Index.dtype



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.

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

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

Output :

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.

 

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

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

Output :

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.

 

Last Updated on October 19, 2021 by admin

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