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Python Pandas - Return Index with duplicate values removed keeping the last occurrence
To return Index with duplicate values removed keeping the last occurrence, use the index.drop_duplicates() method. Use the keep parameter with 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)
Return Index with duplicate values removed. The "keep" parameter with value "last" keeps the last occurrence for each set of duplicated entries −
print("\nIndex with duplicate values removed (keeping the last occurrence)...\n",index.drop_duplicates(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 bytes in the data print("\nGet the bytes...\n",index.nbytes) # get the dimensions of the data print("\nGet the dimensions...\n",index.ndim) # Return Index with duplicate values removed # The "keep" parameter with value "last" keeps the last occurrence for each set of duplicated entries print("\nIndex with duplicate values removed (keeping the last occurrence)...\n",index.drop_duplicates(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 bytes... 40 Get the dimensions... 1 Index with duplicate values removed (keeping the last occurrence)... Index(['Car', 'Bike', 'Ship', 'Airplane'], dtype='object')
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