Skip to main content

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

Project description

datashaper

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 python package manager.
  • Run: poetry install

Usage

This project is intended to be used as a library for lightweight data wrangling. In the examples folder there is a Notebook 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:

from datashaper.pipeline import Pipeline
import datashaper.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 provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datashaper-0.0.14.tar.gz (23.4 kB view details)

Uploaded Source

Built Distribution

datashaper-0.0.14-py3-none-any.whl (44.2 kB view details)

Uploaded Python 3

File details

Details for the file datashaper-0.0.14.tar.gz.

File metadata

  • Download URL: datashaper-0.0.14.tar.gz
  • Upload date:
  • Size: 23.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for datashaper-0.0.14.tar.gz
Algorithm Hash digest
SHA256 b70dd48f641efebaa3192383fc73a6a4c083526c9ed84dcdce5edd13934080b7
MD5 739970e4c551af9ef30187c70395611b
BLAKE2b-256 2d87baa12df7086f2f7b4574c504ee328719d4f6cff8e29622d68100db11c69a

See more details on using hashes here.

File details

Details for the file datashaper-0.0.14-py3-none-any.whl.

File metadata

  • Download URL: datashaper-0.0.14-py3-none-any.whl
  • Upload date:
  • Size: 44.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for datashaper-0.0.14-py3-none-any.whl
Algorithm Hash digest
SHA256 2c860aeae876706f89c4f36df74b57c990df8d6ee437664a0ff397d0faf943aa
MD5 eb53fb5f2f77ea7cb73cf34ee96c2e3f
BLAKE2b-256 db88e88cb4d91fca37f210dd71407a85e828f1fb906175a76d6a4022d6843e61

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page