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xlsx6.1 KB

Pine Assembly Workshop: Shipment export workbook

Shipment export workbook for Pine Assembly Workshop. One worksheet named Shipments with a header row and 16 data rows carrying the same values as shipments-export.csv. Weights are stored as text, so the trailing zero in a figure such as 24.400 survives the round trip instead of being displayed as a shorter number.

Rendered preview of Pine Assembly Workshop: Shipment export workbook

Rendered preview of the xlsx file (6.1 KB). Download above for the original.

Specifications

Document Set
logistics
Industry
logistics
Source Kit
inventory-manufacturing
Synthetic
true
As Of
2026-09-08
Sheets
1
Rows
16
Columns
14

Testing contract

Expected to pass
Scenario
Open the workbook and compare its single sheet against shipments-export.csv cell by cell.
Expected result
Sheet Shipments has 17 rows and 14 columns and every cell matches the CSV, including three-decimal weights such as 24.400 that a numeric column would render shorter.

What is a .xlsx file?

XLSX is the default Microsoft Excel format, an Office Open XML spreadsheet stored as a ZIP archive containing worksheet XML, shared strings, styles, and formulas. It supports multiple sheets, cell formatting, charts, and calculated values. It is the standard for editable tabular workbooks.

How to use this file

Use an example XLSX to test spreadsheet parsing, formula and multi-sheet handling, shared-string extraction, and pipelines that read or generate Excel workbooks.

How to use this file for testing

“Pine Assembly Workshop: Shipment export workbook” is a deterministic Novus Examples fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 16 rows · 14 columns · 1 sheets. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.

Code examples

from openpyxl import load_workbook

wb = load_workbook("shipments-export.xlsx")
ws = wb.active
print(ws.title, ws.max_row, ws.max_column)

Generated by generation/industry_documents.py. Free for any use, no attribution required, license.