Remove duplicate values of a variable using Python | S-Logix

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How to Remove Duplicate Values of a Variable in Python

Remove Duplicate Values

Condition for Removing Duplicate Values of a Variable in Python

Description:
To remove duplicate values from a variable (column) in a dataset using Python, you typically use the pandas library.

The pandas library provides powerful tools for handling and manipulating datasets.

Steps: 1. Import pandas
2. Load the dataset
3. Use the drop_duplicates() method
4. Store the result

Step-by-Step Process

Import pandas:
First, you need to import the pandas library.
Load the dataset:
You can load your dataset into a pandas DataFrame using pd.read_csv() (if the dataset is in a CSV file), or other methods depending on the format (e.g., Excel, SQL, etc.).
Use the drop_duplicates() method:
The drop_duplicates() method is used to remove duplicate rows based on one or more columns (variables). You can specify which column to check for duplicates using the subset parameter.
Store the result:
You can either modify the original DataFrame in place or create a new DataFrame with the duplicates removed.

Sample Source Code

# Code for Remove Duplicates

import pandas as pd

data = {'Name': ['Akash', 'Bharat', 'Akash', 'Charlie', 'Bharat'],
'Age': [25, 30, 25, 35, 30],
'City': ['New York', 'Los Angeles', 'New York', 'Chicago', 'Los Angeles']}

df = pd.DataFrame(data)

print("Original DataFrame:")
print(df)

# Remove duplicates
df_no_duplicates = df.drop_duplicates()

# DataFrame after removing duplicates
print("\nDataFrame after removing duplicates: ")
print(df_no_duplicates)

Screenshots

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