Xlsx

Overview

Comprehensive Excel manipulation using pandas for data analysis and openpyxl for formulas, formatting, and Excel-specific features.

Quick Start

import pandas as pd
from openpyxl import Workbook

# Read with pandas
df = pd.read_excel("data.xlsx")
print(df.head())

# Create with openpyxl
wb = Workbook()
ws = wb.active
ws["A1"] = "Hello"
ws["B1"] = "World"
wb.save("output.xlsx")

When to Use

• Reading and analyzing Excel data with pandas
• Creating formatted spreadsheets programmatically
• Building financial models with formulas
• Generating reports with charts and graphs
• Automating data entry and updates
• Converting between Excel and other formats
• Batch processing multiple spreadsheets
• Creating templates for repeated use

Version History

• 1.1.0 (2026-01-02): Added Quick Start, When to Use, Execution Checklist, Error Handling, Metrics sections; updated frontmatter with version, category, related_skills
• 1.0.0 (2024-10-15): Initial release with pandas, openpyxl, financial model standards

Sub-Skills

• Execution Checklist
• Error Handling
• Metrics
• Quick Reference
• Dependencies

Sub-Skills

• Financial Model Color Standards (+1)
• With Pandas (+1)
• With Pandas (+1)
• Cell Styles (+1)
• Charts
• Check for Errors (+1)
• Workflow