vamseeachanta 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