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Pandas lessons (35/42)

Pandas — Export Excel

Read Excel

import pandas as pd

df = pd.read_excel('data.xlsx')

# Specific sheet
df = pd.read_excel('data.xlsx', sheet_name='Sheet2')

# With options
df = pd.read_excel('data.xlsx', 
                   index_col=0,
                   na_values=['N/A'])

Write Excel

df.to_excel('output.xlsx', index=False)

# Multiple sheets
with pd.ExcelWriter('output.xlsx') as writer:
    df1.to_excel(writer, sheet_name='Sheet1')
    df2.to_excel(writer, sheet_name='Sheet2')

Install openpyxl

pip install openpyxl

Mini Practice

  1. Read Excel file
  2. Write Excel file
  3. Work with multiple sheets
  4. Handle missing values

Up Next

Continue with SQL - Database operations.

Related Topics

Frequently Asked Questions about Export Excel

What is Export Excel in Pandas?

Export Excel is a fundamental concept in Pandas. This lesson explains it step by step with clear examples, making it easy for beginners to understand.

How do I learn Export Excel?

Start by reading the explanation above, then try the code examples. Practice by modifying the examples and experimenting with different values. Hands-on practice is the best way to learn Export Excel.

Why is Export Excel important in Pandas?

Export Excel is essential for Pandas development. Understanding this concept will help you write better code and solve real-world problems more effectively.