How to Use df[], loc[] & iloc[] in Pandas | Select Specific Columns & Rows | Explain in Tamil

🚀 Learn how to select specific columns, rows, and individual values in a Pandas DataFrame!

In this beginner-friendly Python Pandas Tutorial in Tamil, you'll learn the most commonly used DataFrame selection methods: df[], loc[], and iloc[]. These concepts are essential for Data Analysis, Data Science, Data Engineering, and Machine Learning.

Whether you're preparing for interviews or starting your Python journey, this video will help you understand DataFrame indexing with practical examples.

📚 Topics Covered

✅ Select a single column using df['column_name']
✅ Select multiple columns using df[['column1', 'column2']]
✅ Select an entire row using loc[]
✅ Select a specific value using loc[]
✅ Select rows using iloc[]
✅ Select rows and columns together using iloc[]
✅ Difference between df[], loc[], and iloc[]

💻 Code Used in This Video
# Select a single column
df['Country']

# Select multiple columns
df[['Country', 'Continent']]

# Select the first row
df.loc[0]

# Select a specific value
df.loc[0, 'Country']

# Select the first 5 rows
df.iloc[0:5]

# Select the first 5 rows and first 2 columns
df.iloc[0:5, 0:2]
🎯 What You'll Learn

✔ DataFrame Indexing
✔ Column Selection
✔ Row Selection
✔ Label-based Indexing (loc)
✔ Position-based Indexing (iloc)
✔ Beginner-friendly Pandas Concepts

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Видео How to Use df[], loc[] & iloc[] in Pandas | Select Specific Columns & Rows | Explain in Tamil канала DataCraft Tamil