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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.

Metadata

Release files for cjwpandasmodule 0.2.0

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Source distribution (sdist)

Source distribution for cjwpandasmodule 0.2.0
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Table of built distributions (wheels) for cjwpandasmodule 0.2.0
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cjwpandasmodule-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 10.0 kB

Release files / cjwpandasmodule-0.2.0.tar.gz

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This release

0.2.0 This release

2 release files

0.1.0

2 release files

0.0.2

2 release files

0.0.0

1 release file

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