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Python Pandas - Return Index with duplicate values removed except the first occurrence
To return Index with duplicate values removed except the first occurrence, use the index.drop_duplicates() method. Use the keep parameter with value first.
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 "first" keeps the first occurrence for each set of duplicated entries −
index.drop_duplicates(keep='first')
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 "first" keeps the first occurrence for each set of duplicated entries
print("\nIndex with duplicate values removed (keeping the first occurrence)...\n",index.drop_duplicates(keep='first'))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 first occurrence)... Index(['Car', 'Bike', 'Airplane', 'Ship'], dtype='object')
Updated on: 13-Oct-2021
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