Hi All! 
I built a new (and my first) component. It’s a fairly simple wrapper for st.multiselect' which uses st.session_state and st.experimental_rerun under the hood to show only relevant values in filter options and dynamically filter a dataframe (similar to Google Sheets slicers or Only Relevant Values in Tableau behaviour).
Check out the demo app here - Dynamic Filters Demo App
How to install and use the package:
-
Install the package using pip:
pip install streamlit-dynamic-filters -
Import the
DynamicFiltersclass:
from streamlit_dynamic_filters import DynamicFilters -
Create an instance of the
DynamicFiltersclass and pass the dataframe and the list of fields that will serve as filters:dynamic_filters = DynamicFilters(df, filters=['col1', 'col2', 'col3', 'col4']) -
Display the filters in your app:
dynamic_filters.display_filters() -
Display the filtered dataframe:
dynamic_filters.display_df()
Demo GIF:
Sample usage:
import streamlit as st
from streamlit_dynamic_filters import DynamicFilters
data = {
'Region': ['North America', 'North America', 'North America', 'Europe', 'Europe', 'Asia', 'Asia'],
'Country': ['USA', 'USA', 'Canada', 'Germany', 'France', 'Japan', 'China'],
'City': ['New York', 'Los Angeles', 'Toronto', 'Berlin', 'Paris', 'Tokyo', 'Beijing']
}
df = pd.DataFrame(data)
dynamic_filters = DynamicFilters(df, filters=['Region', 'Country', 'City'])
with st.sidebar:
dynamic_filters.display_filters()
dynamic_filters.display_df()
Any feedback is much appreciated 
Hopefully, it’ll be useful for someone, personally I’ve been struggling with if/else logic to make the filters dynamic and our users had to only apply them from top to bottom, so being able to use session state is a game changer for me.
