Contents

woodwork 0.11.1

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a two-dimensional data object with labeled axes and typing information

a two-dimensional data object with labeled axes and typing information

Stars: 73, Watchers: 73, Forks: 12, Open Issues: 145

The alteryx/woodwork repo was created 1 years ago and was last updated 17 hours ago. The project is moderately popular with 73 github stars!

How to Install woodwork

You can install woodwork using pip

pip install woodwork

or add it to a project with poetry

poetry add woodwork

Package Details

Author
Alteryx, Inc.
License
BSD 3-clause
Homepage
https://github.com/alteryx/woodwork/
PyPi
https://pypi.org/project/woodwork/
GitHub Repo
https://github.com/alteryx/woodwork

Classifiers

No  woodwork  pypi packages just yet.

Errors

A list of common woodwork errors.

No  woodwork  errors just yet.

Code Examples

Here are some woodwork code examples and snippets.

No  woodwork  code examples just yet.

GitHub Issues

The woodwork package has 145 open issues on GitHub

  • Add CurrencyCode Logical Type (ISO 4217)
  • Allow LatLong columns to have 2 NaN representations (tuple NaN, single NaN)
  • Read parquet/arrow files created with df.ww.to_parquet and df.ww.to_arrow
  • Add df.ww.to_arrow method to save data and typing info in specified file
  • Add df.ww.to_parquet method to save data and typing info in specified file
  • Update arrow serialization to use a single file for data and typing info
  • Remove _get_subset_schema from table schema
  • Add series.ww.rolling_box_plot method to column accessor
  • Add Python 3.10 support
  • Datetime column frequency inference V2
  • Handle Nullability
  • Data Validation
  • Add Pearson correlation coefficient calculation to Woodwork DataFrames
  • SPIKE: Investigate inference performance improvements
  • Move dtype/physical type property off of the LogicalType class

See more issues on GitHub

See Also

pytorch-lightning 1.5.9

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.