Python Pandas - Return a new Index of the values set with the mask

To return a new Index of the values set with the mask, use the index.putmask() method in Pandas. At first, import the required libraries −

import pandas as pd

Creating Pandas index −

index = pd.Index([5, 65, 10, 17, 75, 40]) 

Display the Pandas index −

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

Mask and place index values less than 3 with a value 111 −

print("\nMask...\n",index.putmask(index < 30, 111)) 

Example

Following is the code −

import pandas as pd # Creating Pandas index index = pd.Index([5, 65, 10, 17, 75, 40]) # 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) # mask and place index values less than 3 with a value 111 print("\nMask...\n",index.putmask(index < 30, 111))

Output

This will produce the following output −

Pandas Index... Int64Index([5, 65, 10, 17, 75, 40], dtype='int64') Number of elements in the index... 6 The dtype object... int64 Mask... Int64Index([111, 65, 111, 111, 75, 40], dtype='int64')