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Utilities for CJWorkbench modules that use Pandas.

Workbench modules may optionally depend on the latest version of this Python package for its handy utilities:

  • cjwpandasmodule.validate: functions to check if a DataFrame can be saved in Workbench.

Developing

  1. Run tox to confirm that unit tests pass
  2. Write a failing unit test in tests/
  3. Make it pass by editing code in cjwpandasmodule/
  4. Submit a pull request

We use semver. Workbench will upgrade this dependency (minor version only) without module authors' explicit consent. Features in the same major version must be backwards-compatible.

Publishing

  1. git push and make sure Travis tests all pass.
  2. git tag vX.X.X
  3. git push --tags

TravisCI will push to PyPi.

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Release history Release notifications | RSS feed

This release

0.2.0 This release

2 files

0.1.0

2 files

0.0.2

2 files

0.0.0

1 file

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