streamlit-dynamic-filters 0.1.3

Dynamic multiselect filters for Streamlit

Custom component to create dynamic multiselect filters in Streamlit. The filters apply to a dataframe and adjust their values based on the user selection (similar to Google Sheets slicers or Only Relevant Values in Tableau).

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()

Demo GIF:

0.1.3 - 28th September

Added

• Ability to specify filter location in display_filters(). The filters can be either displayed in sidebar, main area or columns.
• Error handling of invalid arguments in display_filters().

Changed

• Renamed filter_except() to filter_df(). The function returns a filtered df.

Deprecated

Removed

Fixed

• The StreamlitApiException that occured when selected values did not exist in the dataset.