Skip to main content

Install

pip install skittle-sheets

To access private Google Sheets, generate a service account and JSON key file following https://cloud.google.com/iam/docs/creating-managing-service-account-keys

Place the JSON key file in the working directory, a parent directory, your home directory, or ~/config/skittle. Make sure the filename matches *service*.json (e.g,. move it to ~/config/.skittle_service.json).

Format and examples

layout and longform output

There are three meaningful blocks that are automatically extracted from the layout based on location. Any other content is ignored, so it's OK to put notes wherever you like.

  1. Key value pairs, like experiment: <experiment_name>. These must be at the top left of the sheet.
  2. Variable definitions. Each must be an Oklahoma-shaped region in the first three columns (variable name, value, and code).
  3. Grids mapping variables onto plates. The grid can be anywhere, but the spacing between variable name and row/column labels is important. Fill out the plate with codes (empty cells are OK). Plates labels can be listed after a semicolon (a grid with no plate label applies to all plates).

Here are (some examples)[https://docs.google.com/spreadsheets/d/1UVDRgs1w6fySZqJqEbEH1v7m1i0qhhpQ_r9Y59TZ8tU/edit#gid=968744084]:

# example A
skittle export https://docs.google.com/spreadsheets/d/1UVDRgs1w6fySZqJqEbEH1v7m1i0qhhpQ_r9Y59TZ8tU/edit#gid=968744084
# example B (shown above)
skittle export https://docs.google.com/spreadsheets/d/1UVDRgs1w6fySZqJqEbEH1v7m1i0qhhpQ_r9Y59TZ8tU/edit#gid=767021684
# example C
skittle export https://docs.google.com/spreadsheets/d/1UVDRgs1w6fySZqJqEbEH1v7m1i0qhhpQ_r9Y59TZ8tU/edit#gid=1432994532

Usage

Public Google Sheets

skittle export <URL>

Private Google Sheets

Share your Google Sheets document with the service account generated above (read-only is fine). Then run:

skittle export "<spreadsheet>/<worksheet>"

If the Drive and Sheets APIs are not already enabled, there will be an error message with a link prompting you to enable them.

Local .csv file

skittle export layout.csv

Metadata

Release files for skittle-sheets 0.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for skittle-sheets 0.0.5
File Size Uploaded Provenance Actions
skittle-sheets-0.0.5.tar.gz 8.3 kB Without provenance Details for skittle-sheets-0.0.5.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for skittle-sheets 0.0.5
File Interpreter ABI Platform Actions
skittle_sheets-0.0.5-py3-none-any.whl Python 3 none any Details for skittle_sheets-0.0.5-py3-none-any.whl

Total release size: 17.0 kB

Release files / skittle-sheets-0.0.5.tar.gz

Download URL skittle-sheets-0.0.5.tar.gz
Size 8.3 kB
Tags Source
SHA-256 checksum
How to use checksums
7cd1babed5b1a4d60fb392835ad1fab776e3f2dd1b3d423b6abdd7d167b6091a
BLAKE2b-256 checksum
How to use checksums
fd6262cd411df8f9417671b3c533e6852a7d5c6469c27286bece285389cacd74
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.4

Release files / skittle_sheets-0.0.5-py3-none-any.whl

Download URL skittle_sheets-0.0.5-py3-none-any.whl
Size 8.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5e68022af68ddb39d2d9502d7d6db4f966503c90014884e930b51ee0a7d0b041
BLAKE2b-256 checksum
How to use checksums
4401e5f6aa0cf5c27df4ff8ba11dd16eb0b96c6091d72e6c8ee4463c4bfd7ee5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.4

Security for skittle-sheets 0.0.5

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page