spreadsheet

To edit Excel files without breaking formulas, use openpyxl to modify .xlsx workbooks while preserving formulas, references, and formatting. This approach ensures cell references remain intact and outputs stay reviewable without manual reconstruction.

Yes, you can use pandas to filter, aggregate, and pivot CSV or TSV data, then write the transformed results back to an .xlsx file. This workflow supports building formatted spreadsheets directly from raw tabular data sources.

No, openpyxl does not evaluate formulas when modifying .xlsx spreadsheets. It preserves formula strings and validates their presence, but you must open the workbook in a compatible viewer to trigger recalculation and view computed values.

The best way to clean and aggregate tabular data is using pandas for transformation across .csv and .tsv files, then leveraging openpyxl to apply merged headers, styles, and number formats when saving to .xlsx.

To render spreadsheets to PDF images for visual checks, you need LibreOffice and Poppler installed in your environment. When available, the system can optionally convert sheets to PDF for review purposes.

Yes, you can build a new .xlsx workbook from a CSV file by applying consistent styles, merged headers, number and date formats, and inserting formulas for totals while saving the final output to a specified path.