df2onehot

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df2onehot is a Python package to convert unstructured DataFrames into structured dataframes, such as one-hot dense arrays.

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Install df2onehot from PyPI

pip install df2onehot

Import df2onehot package

from df2onehot import df2onehot

Documentation pages

On the documentation pages you can find detailed information about the working of the df2onehot with many examples.

Examples

results = df2onehot(df)

# Force features (int or float) to be numeric if unique non-zero values are above percentage.
out = df2onehot(df, perc_min_num=0.8)

# Remove categorical features for which less then 2 values exists.
out = df2onehot(df, y_min=2)

# Combine two rules above.
out = df2onehot(df, y_min=2, perc_min_num=0.8)

Maintainers

  • Erdogan Taskesen, github: erdogant
  • Contributions are welcome.
  • If you wish to buy me a Coffee for this work, it is very appreciated :)

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for erdogant from gravatar.com erdogant

Credits

Author: Erdogan Taskesen

License expression

MIT
View SPDX License List

Requires

Python >=3

Tags

Python one-hot encoding preprocessing structuring encoding categorical encoding df2onehot dataframe encoding feature engineering machine learning data transformation dummy variables pandas scikit-learn data preprocessing

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