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ssf-reducto

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ssf-reducto

Spreadsheet Number Format processor - a Python port of SheetJS/ssf.js

  • 0.2.3
  • PyPI
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=== ssf

.. image:: https://img.shields.io/pypi/v/ssf.svg :target: https://pypi.python.org/pypi/ssf

.. image:: https://img.shields.io/travis/snoopyjc/ssf.svg :target: https://travis-ci.com/snoopyjc/ssf

.. image:: https://readthedocs.org/projects/ssf/badge/?version=latest :target: https://ssf.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

Spreadsheet Number Format processor - a Python port of SheetJS/ssf.js

Features

ssf (Spreadsheet Format) is a pure python library to format data using ECMA-376 spreadsheet format codes (used in popular spreadsheet software packages). It is derived from the JavaScript version available at https://github.com/SheetJS/ssf. All listed issues in that package, up to #80, have been fixed in this version and support for colors, widths, and localization including alternative calendars have also been implemented.

Python Version and Required Libraries

A modern version of Python is required to use ssf: version 3.6 or better. Also, these libraries are required by ssf: Babel, python-dateutil, pytz, pyYAML, six, ummalqura, convertdate.

Example

  • Basic Demo <http://www.snoopyjc.org/ssf/>_

Credits

This package is a Python port of the similarly named JavaScript library (https://github.com/SheetJS/ssf).

This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

======= History

0.2.2 (2020-10-29)

  • Fix issues #13, #14, #15

0.2.1 (2020-10-26)

  • Fix issues #5, #10, #11, #12

0.2.0 (2020-10-25)

  • Fix issue #6: Add support for other calendars
  • Fix issues #7-9

0.1.5 (2020-10-14)

  • Fix issues #1, #3, and JS#79, JS#80.
  • Add demo doc and encode/decode the results so unicode comes thru

0.1.2 (2020-10-08)

  • Add data files to distro

0.1.0 (2020-10-05)

  • First release on PyPI.

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