data-wrangling-components 0.0.6
This project provides a collection of utilities for doing lightweight data wrangling.
License: MIT
Requires Python: >=3.8,<3.10

# data-wrangling-components

This project provides a collection of utilities for doing lightweight data wrangling.

There are two goals of the project:

1. Create a shareable client/server schema for serialized wrangling instructions
2. Maintain an implementation of a basic wrangling engine (based on Arquero) and in the case of python implemented in Pandas

# Building

- You need to install [poetry](https://python-poetry.org/docs/) python package manager.
- Run: `poetry install`

# Usage

This project is inteded to be used as a library for lightweight data wrangling. In the examples folder there is a [Notebook](examples/examples.ipynb) which provides several examples of how to create data wrangling pipelines and how to read json specifications that can be generated by the js implementation.

Example of joining two tables:

```python
from data_wrangling_components.pipeline import Pipeline
import data_wrangling_components.types as types
import pandas as pd

# id   name
# 1    bob
# 2    joe
# 3    jane
parents = pd.DataFrame({
    "id": [1, 2, 3],
    "name": ['bob', 'joe', 'jane']
})

# id   kid
# 1    billy
# 1    jill
# 2    kaden
# 2    kyle
# 3    moe
kids = pd.DataFrame({
    "id": [1, 1, 2, 2, 3],
    "kid": ['billy', 'jill', 'kaden', 'kyle', 'moe']
})

pipeline = Pipeline()

pipeline.add_dataset('parents', parents)
pipeline.add_dataset('kids', kids)

pipeline.add(Step(
    verb=Verb.join,
    input="parents",
    output="output",
    args={
        "other": "kids",
        "on":["id"]
    }
))

# id   name    kid
# 1    bob     billy
# 1    bob     jill
# 2    joe     kaden
# 2    joe     kyle
# 3    jane    moe
result = pipeline.run()
```

# Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

# Trademarks

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trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.