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
- Run
toxto confirm that unit tests pass - Write a failing unit test in
tests/ - Make it pass by editing code in
cjwpandasmodule/ - 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
git pushand make sure Travis tests all pass.git tag vX.X.Xgit push --tags
TravisCI will push to PyPi.
Metadata
Release files for cjwpandasmodule 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cjwpandasmodule-0.2.0.tar.gz | 4.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | cjwpandasmodule-0.2.0.tar.gz |
|---|---|
| Size | 4.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / cjwpandasmodule-0.2.0-py3-none-any.whl
| Download URL | cjwpandasmodule-0.2.0-py3-none-any.whl |
|---|---|
| Size | 5.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.9.2
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