Remove Duplicate Data in Excel Using Python (Fast & Easy)
Description
Duplicate data can quietly ruin your reports, inflate totals, and create inaccurate analysis.
In this video, you’ll learn how to find and remove duplicate rows using Python directly inside Excel — quickly and without complicated code.
Using Python DataFrames, we’ll detect duplicate records, count them, and clean the dataset in just a few lines of code.
If you’re learning Python in Excel, this is an essential data-cleaning skill to master.
What You’ll Learn
✔️ How to detect duplicate rows in a DataFrame
✔️ How duplicated() works in Python
✔️ How to count duplicates with .sum()
✔️ How to remove duplicate records using drop_duplicates()
✔️ Why duplicate data causes reporting problems
Code Used in This Video
df = xl("A1:E16", headers=True)
df
df.duplicated()
df.duplicated().sum()
df = df.drop_duplicates()
df
Previous Video
👉 Fix Missing Data in Excel Using Python
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👉 Correcting Date Types in Excel Using Python
Python in Excel Series
This video is part of the Python in Excel series where we learn how to:
Work with DataFrames
Clean messy data
Automate Excel workflows
Use Python for faster analysis
Short, practical tutorials designed for real work.
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