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Create All option for multiselect
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| import streamlit as st | |
| import pandas as pd | |
| def select_options(): | |
| """Select options based on the user's selection and update the session state. | |
| This function is triggered when the selection of options changes. It checks if "All" is selected and updates | |
| the session state accordingly. If "All" is selected, it sets the selected options to all options except "All", | |
| and updates the maximum number of selections. If "All" is not selected, it updates the maximum number of selections | |
| based on the available options. | |
| Args: | |
| None | |
| Returns: | |
| None | |
| """ | |
| if "selected_options" in st.session_state: | |
| if "All" in st.session_state["selected_options"]: | |
| st.session_state["selected_options"] = available_options[1:] | |
| st.session_state["max_selections"] = len(available_options) - 1 | |
| else: | |
| st.session_state["selected_options"] = [] | |
| st.session_state["max_selections"] = len(available_options) - 1 | |
| existing_genes = ["Gene1", "Gene2", "Gene3", "Gene4", "Gene5"] | |
| clinvar_accession_ids = ["CLINVAR1", "CLINVAR2", "CLINVAR3", "CLINVAR4", "CLINVAR5"] | |
| df = pd.DataFrame({"Gene": existing_genes, "Clinvar Accession ID": clinvar_accession_ids}) | |
| available_options = ["All"] + existing_genes | |
| st.multiselect( | |
| label="Select a Gene", | |
| options=available_options, | |
| key="selected_options", | |
| max_selections=st.session_state["max_selections"], | |
| on_change=select_options, | |
| format_func=lambda x: "All" if x == "All" else x | |
| ) | |
| if st.button("Clear Selection"): | |
| st.session_state["selected_options"] = [] | |
| selected_genes = available_options[1:] if st.session_state["max_selections"] == 1 else st.session_state["selected_options"] | |
| filtered_df = df[df["Gene"].isin(selected_genes)] | |
| st.dataframe(filtered_df) |
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My gist is a modification of the example from Carlos D. Serrano at https://medium.com/streamlit/multi-select-all-option-in-streamlit-3c92a0f20526.