How to Delete a Column in Python | 3 Methods (in under 2 minutes)
Learn how to delete a column from a Pandas DataFrame in Python using three simple and effective methods! This quick and practical tutorial walks you through removing columns from the Iris dataset using the del statement, drop() method, and column selection. Whether you're cleaning data or customizing a dataset, this tutorial has you covered.
✅ What You’ll Learn:
Using del to remove a column.
Removing columns with drop() and specifying axis=1.
Selecting specific columns to keep using indexing.
Why Watch This Video?
Data cleaning is a critical part of data analysis, and knowing multiple ways to handle columns in Python makes your workflow flexible and efficient. This short tutorial simplifies the process and is perfect for beginners and advanced users alike.
📊 Who Is This For?
Perfect for Python beginners, data analysts, and data scientists working with Pandas DataFrames and looking to enhance their data manipulation skills.
🔗 Related Topics:
Data Cleaning with Pandas
Pandas Basics for Beginners
DataFrame Manipulations in Python
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Code from Video:
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import pandas as pd
import seaborn as sns
data = sns.load_dataset('iris')
data
del data['species']
data
iris = sns.load_dataset('iris')
iris
iris.drop('species', axis=1, inplace=True)
iris
iris = iris[['petal_length', 'petal_width']]
iris
***