Skip to main content

Simplifying good practice in statistical tables.

Project description

Travis build status PyPI release

gptables is an opinionated python package for spreadsheet production. It produces .xlsx files from your pandas dataframes or using reticulate in R. You define the mapping from your data to elements of the table. It does the rest.

gptables uses the official guidance on good practice spreadsheets. It advocates a strong adherence to the guidance by restricting the range of operations possible. The default theme gptheme should accommodate most use cases. However, the Theme object allows development of custom themes, where other formatting is required.

gptables is developed and maintained by the Best Practice and Impact division of the Office for National Statistics, UK.

4 Simple Steps

  1. You map your data to the elements of a GPTable.

  2. You can define the format of each element with a custom Theme, or simply use the default - gptheme.

  3. Optionally design a Cover page to provide information that relates to all of the tables in your Workbook.

  4. You write_workbook to win.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gptables-0.3.2.tar.gz (49.2 kB view details)

Uploaded Source

File details

Details for the file gptables-0.3.2.tar.gz.

File metadata

  • Download URL: gptables-0.3.2.tar.gz
  • Upload date:
  • Size: 49.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.7

File hashes

Hashes for gptables-0.3.2.tar.gz
Algorithm Hash digest
SHA256 0c21fa115846e7095f13a98046adf9014fe1de45854c4f4d153ed635d229a180
MD5 c230fa4e859acc27fb46c96d8fcc161b
BLAKE2b-256 afaea4b8b1a4c7635437cd52757793919527ca066294bdbfb9fc174d7dc46794

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page