# df2onehot
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[](https://pypi.org/project/df2onehot/)
[](https://github.com/erdogant/df2onehot/blob/master/LICENSE)
[](https://pepy.tech/project/df2onehot/month)
[](https://pepy.tech/project/df2onehot)
[](https://zenodo.org/badge/latestdoi/245003302)
[](https://erdogant.github.io/df2onehot/)
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``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.
<hr>
### 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)
#
<hr>
#### Maintainers
* Erdogan Taskesen, github: [erdogant](https://github.com/erdogant)
* Contributions are welcome.
* If you wish to buy me a <a href="https://www.buymeacoffee.com/erdogant">Coffee</a> for this work, it is very appreciated :)
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