Metadata-Version: 2.1
Name: gptables
Version: 0.3.2
Summary: Simplifying good practice in statistical tables.
Home-page: https://best-practice-and-impact.github.io/gptables/
Author: David Foster
Author-email: david.foster@ons.gov.uk
License: MIT license
Description: Good Practice Tables (gptables)
        ===============================
        
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            :target: https://travis-ci.org/best-practice-and-impact/gptables
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            :alt: 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.
        
        .. _`guidance on good practice spreadsheets`: https://gss.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/
        
        .. _`Best Practice and Impact`: https://gss.civilservice.gov.uk/about-us/support-for-the-gss/
        
        
        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.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
