https://github.com/erdogant/df2onehot

Convert a unstructured array into a stuctured dataframe.
https://github.com/erdogant/df2onehot

onehot-encoding preprocessing python structuring

Last synced: 3 months ago
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Convert a unstructured array into a stuctured dataframe.

• Host: GitHub
• URL: https://github.com/erdogant/df2onehot
• Owner: erdogant
• License: other
• Created: 2020-03-04T21:02:27.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-03-26T13:34:20.000Z (10 months ago)
• Last Synced: 2024-10-03T10:09:12.745Z (3 months ago)
• Topics: onehot-encoding, preprocessing, python, structuring
• Language: Python
• Homepage: https://erdogant.github.io/df2onehot
• Size: 4.14 MB
• Stars: 3
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Citation: CITATION.cff

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README

        
# df2onehot

[![Python](https://img.shields.io/pypi/pyversions/df2onehot)](https://img.shields.io/pypi/pyversions/df2onehot)

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[![Downloads](https://pepy.tech/badge/df2onehot/month)](https://pepy.tech/project/df2onehot/month)

[![Downloads](https://pepy.tech/badge/df2onehot)](https://pepy.tech/project/df2onehot)

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[![Sphinx](https://img.shields.io/badge/Sphinx-Docs-Green)](https://erdogant.github.io/df2onehot/)

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

# 

**⭐️ Star this repo if you like it ⭐️**

#

#### Install df2onehot from PyPI

```bash

pip install df2onehot

```

#### Import df2onehot package

```python

from df2onehot import df2onehot

```

# 

### [Documentation pages](https://erdogant.github.io/df2onehot/)

On the [documentation pages](https://erdogant.github.io/df2onehot/) you can find detailed information about the working of the ``df2onehot`` with many examples. 

 


### Examples

```python

results = df2onehot(df)

```

```python

# Force features (int or float) to be numeric if unique non-zero values are above percentage.

out = df2onehot(df, perc_min_num=0.8)

```

```python

# Remove categorical features for which less then 2 values exists.

out = df2onehot(df, y_min=2)

```

```python

# Combine two rules above.

out = df2onehot(df, y_min=2, perc_min_num=0.8)

```

# 

* [Example: Process Mixed dataset](https://erdogant.github.io/df2onehot/pages/html/Examples.html#)

# 

* [Example: Extracting nested columns](https://erdogant.github.io/df2onehot/pages/html/Examples.html#extracting-nested-columns)

# 

* [Example: Setting custom dtypes](https://erdogant.github.io/df2onehot/pages/html/Examples.html#custom-dtypes)

#



#### Maintainers

* Erdogan Taskesen, github: [erdogant](https://github.com/erdogant)

* Contributions are welcome.

* If you wish to buy me a Coffee for this work, it is very appreciated :)