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src=\"https://readthedocs.org/projects/sklearn_dummies/badge/?version=latest\"\u003e](http://readthedocs.org/projects/sklearn-dummies/)\n[![CircleCI](https://circleci.com/gh/gsmafra/sklearn-dummies.svg?style=shield)](https://circleci.com/gh/gsmafra/sklearn-dummies)\n[![codecov](https://codecov.io/gh/gsmafra/sklearn-dummies/branch/master/graph/badge.svg)](https://codecov.io/gh/gsmafra/sklearn-dummies)\n[![Requirements Status](https://requires.io/github/gsmafra/sklearn-dummies/requirements.svg?branch=master)](https://requires.io/github/gsmafra/sklearn-dummies/requirements/?branch=master)\n\n# sklearn-dummies\nScikit-learn label binarizer with support for missing values\n\n## Usage example\n\n```\nimport pandas as pd\nimport sklearn_dummies as skdm\n\ndf = pd.DataFrame(['A', 'B', None, 'A'], columns=['val'])\n\ndf_dummy = skdm.DataFrameDummies().fit_transform(df)\n```\n\nResult:\n\n|     | val_A | val_B |\n| --- |:-----:|:-----:|\n| 0   |   1.0 |   0.0 |\n| 1   |   0.0 |   1.0 |\n| 2   |   NaN |   NaN |\n| 3   |   1.0 |   0.0 |\n\n## Installing\n\nSklearn-dummies is available in [PyPI](https://pypi.python.org/pypi/sklearn_dummies). Install via pip:\n\n```\npip install sklearn_dummies\n```\n\n## Docs\n\n[They're here](http://sklearn-dummies.readthedocs.io/en/latest/index.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgsmafra%2Fsklearn-dummies","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgsmafra%2Fsklearn-dummies","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgsmafra%2Fsklearn-dummies/lists"}