To indicate duplicate index values except for the last occurrence, use the index.duplicated(). Use the keep parameter with the value last.
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 duplicate index values as True, except the last occurrence. Set the "keep" parameter as "last" −
print("\nIndicating duplicate values except the last occurrence...\n", index.duplicated(keep='last'))
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 duplicate index values as True, except the last occurrence # Set the "keep" parameter as "last" print("\nIndicating duplicate values except the last occurrence...\n", index.duplicated(keep='last'))
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 duplicate values except the last occurrence... [False False True False False]