To indicate all duplicate index values as True, use the index.duplicated(). Use the keep parameter with the value False.
At first, import the required libraries −
import pandas as pd
Creating the index with some duplicates −
index = pd.Index(['Car','Bike','Airplane','Ship','Airplane'])
Display the index −
print("Pandas Index with duplicates...\n",index)
Indicate all duplicate index values as True. Set the "keep" parameter as "False" −
print("\nIndicating all duplicate index values True...\n", index.duplicated(keep=False))
Example
Following is the code −
import pandas as pd # Creating the index with some duplicates index = pd.Index(['Car','Bike','Airplane','Ship','Airplane']) # Display the index print("Pandas Index with duplicates...\n",index) # Return the dtype of the data print("\nThe dtype object...\n",index.dtype) # get the dimensions of the data print("\nGet the dimensions...\n",index.ndim) # Indicate all duplicate index values as True # Set the "keep" parameter as "False" print("\nIndicating all duplicate index values True...\n", index.duplicated(keep=False))
Output
This will produce the following code −
Pandas Index with duplicates... Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane'], dtype='object') The dtype object... object Get the dimensions... 1 Indicating all duplicate index values True... [False False True False True]