Python | Pandas Index.dtype
Last Updated :
10 Apr, 2024
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.
Share your thoughts in the comments
Please Login to comment...