What problem does it solve?
Streamlines complex spreadsheet operations, eliminating manual data entry, formula creation, and formatting. It ensures accuracy and consistency in financial models, data analysis, and reporting, saving significant time and reducing errors.
Core Features & Use Cases
- Dynamic Spreadsheet Creation: Build new Excel files with formulas, formatting, and data validation, ensuring they remain dynamic and updateable.
- Advanced Data Analysis: Read, analyze, and visualize data using powerful libraries like pandas for insights and reporting.
- Formula Recalculation & Error Checking: Automatically recalculate formulas and identify errors to ensure data integrity and model accuracy.
- Use Case: Generate a weekly financial report from raw data, including complex formulas and conditional formatting, and ensure all calculations are correct before delivery, all without manual intervention.
Quick Start
Example: Read, analyze, and create a spreadsheet
import pandas as pd
from openpyxl import Workbook
Read and analyze data
df = pd.read_excel('input.xlsx')
print(df.describe())
Create new spreadsheet with a formula
wb = Workbook()
sheet = wb.active
sheet['A1'] = 'Sales'
sheet['B1'] = '=SUM(A2:A10)'
wb.save('output.xlsx')
Recalculate formulas (MANDATORY)
python recalc.py output.xlsx