Metadata-Version: 2.1
Name: lowess_grouped
Version: 0.0.1
Summary: Apply groupwise lowess smoothing to a dataframe
Project-URL: Source Code, https://github.com/lukiwieser/lowess-grouped
Project-URL: Bug Tracker, https://github.com/lukiwieser/lowess-grouped/issues
Author: Lukas Wieser
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Requires-Dist: pandas>=1.1.5
Requires-Dist: statsmodels>=0.12.2
Description-Content-Type: text/markdown

# lowess-grouped

Apply groupwise lowess smoothing to a dataframe.

This project builds upon the lowess function from statsmodels.

## Usage

Simply import the package, and pass your dataframe `df` to the function `lowess_grouped`:

```python
from lowess_grouped.lowess_grouped import lowess_grouped
df_smoothed = lowess_grouped(df, "x_col_name", "y_col_name", "group_name", frac=0.05)
```

For a more detailed example see the temperature-example.ipynb.
