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Utilities for Workbench modules that use Pandas

Project description

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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