Python Pandas - Create an Index with values cast to dtypes

To create an Index with values cast to dtypes, use the index.astype() method in Pandas. At first, import the required libraries −

import pandas as pd

Creating Pandas index −

index = pd.Index([50.4, 10.2, 70.5, 110.5, 90.8, 50.6]) 

Display the Pandas index −

print("Pandas Index...\n",index)

Convert datatype to int64 −

index.astype('int64') 

Example

Following is the code −

import pandas as pd # Creating Pandas index index = pd.Index([50.4, 10.2, 70.5, 110.5, 90.8, 50.6]) # Display the Pandas index print("Pandas Index...\n",index) # Return the number of elements in the Index print("\nNumber of elements in the index...\n",index.size) # Return the dtype of the data print("\nThe dtype object...\n",index.dtype) # convert datatype to int64 print("\nIndex object after converting type...\n",index.astype('int64'))

Output

This will produce the following output −

Pandas Index... Float64Index([50.4, 10.2, 70.5, 110.5, 90.8, 50.6], dtype='float64') Number of elements in the index... 6 The dtype object... float64 Index object after converting type... Int64Index([50, 10, 70, 110, 90, 50], dtype='int64')