Streamlit tools for interactive dataframes filtering
Project description
streamlit-custom-filters
Streamlit tools for interactive dataframes filtering
Also demo for publishing and deploy docs via github workflow
Example of usage:
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)
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