Skip to main content

DataSet File Format (DSFF)

Project description

DataSet File Format Tweet

Store a dataset in XSLX-like format.

PyPi Read The Docs Python Versions Known Vulnerabilities License

This library contains code for handling the DataSet File Format (DSFF) based on the XSLX format and for converting it to ARFF (for use with the Weka framework), CSV or a FilelessDataset structure (from the Packing Box).

pip install --user dsff

:sunglasses: Usage

Creating a DSFF from a FilelessDataset

>>> import dsff
>>> with dsff.DSFF() as f:
    f.write("/path/to/my-dataset")  # folder of a FilelessDataset (containing data.csv, features.json and metadata.json)
    f.to_arff()                     # creates ./my-dataset.arff
    f.to_csv()                      # creates ./my-dataset.csv
# while leaving the context, ./my-dataset.dsff is created

Creating a FilelessDataset from a DSFF

>>> import dsff
>>> with dsff.DSFF("/path/to/my-dataset.dsff") as f:
    f.to_dataset()  # creates ./[dsff-title] with data.csv, features.json and metadata.json

:star: Related Projects

You may also like these:

:clap: Supporters

Stargazers repo roster for @packing-box/python-dsff

Forkers repo roster for @packing-box/python-dsff

Back to top

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

dsff-1.0.3.tar.gz (25.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dsff-1.0.3-py3-none-any.whl (35.7 kB view details)

Uploaded Python 3

File details

Details for the file dsff-1.0.3.tar.gz.

File metadata

  • Download URL: dsff-1.0.3.tar.gz
  • Upload date:
  • Size: 25.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/5.1.0 pkginfo/1.8.2 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.8.10

File hashes

Hashes for dsff-1.0.3.tar.gz
Algorithm Hash digest
SHA256 fb4f64d46072121a5966348c4993d1638706464ba60120198be7639379441f4f
MD5 8a35ddca2de864ce768acdb7be195e8e
BLAKE2b-256 a0061e4dd5059068342cb1179a9a024cf75eba9cb937ab1cc6b036c95cd59570

See more details on using hashes here.

File details

Details for the file dsff-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: dsff-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 35.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for dsff-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f61a113c2e80cbfaa97cc33a4209d10a78e7feb59d37df5f7d92873c05fdc6c9
MD5 959999aea9e1d8ce058bc6dfd80fe5fd
BLAKE2b-256 777170fc808cad0309273ee143cf0da546912723a6d644f2787c692d5c6a8445

See more details on using hashes here.

Supported by

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