semvec/pypi-packages huggingface dataset:
streamlit-custom-filters 0.1.5
Streamlit tools for interactive dataframes filtering
License: MIT
Requires Python: >=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*
Keywords: streamlit,components

# streamlit-custom-filters
Streamlit tools for interactive dataframes filtering

Also demo for publishing and deploy docs via github workflow

Example of usage:

```python
dataframe_filters = DataFrameFilter(
    df=sales_df,
    filters=[
        RangeFilter('source_count'),
        GreaterFilter('sales'),
        GreaterFilter('demand_ratio'),
        LessFilter('available_ratio'),
        CategoricalFilter('trend_category'),
    ],
    columns=3,
    gap="small",
)

dataframe_filters.display_filters()
dataframe_filters.display_df(hide_index=True)
```