Streamlit Dtale PygWalker compile

[tjsxstreamlit]

import streamlit as st
import pandas as pd
import dtale
import pygwalker as pygwalk
import threading

# Function to read the Titanic dataset
def read_titanic_data():
    # Assuming the CSV file is named 'titanic.csv' and located in the same directory as your Python script
    # If the file is located in a different directory, provide the full path to the file
    titanic_df = pd.read_csv('titanic.csv')
    return titanic_df

# Function to display data using dtale
def display_with_dtale(data):
    dtale_instance = dtale.show(data)
    return dtale_instance

# Function to start pygwalk server in a separate thread
def start_pygwalk_server(data):
    pygwalk.show(data)

def main():
    st.title('Visualization Tools for Titanic Dataset')

    # Read the Titanic dataset
    data = read_titanic_data()

    # Create radio buttons for visualization tools
    visualization_tool = st.radio("Choose Visualization Tool", ["dtale", "pygwalk"], horizontal=True)

    if visualization_tool == "dtale":
        st.write("You selected dtale")
        run_button = st.button("Run")
        stop_button = st.button("Stop")
        if run_button:
            if 'dtale_instance' not in  st.session_state:
                st.session_state.dtale_instance= dtale.show(data)
            else:
                st.session_state.dtale_instance.kill()
                st.session_state.dtale_instance= dtale.show(data)

            dtale_url = st.session_state.dtale_instance.main_url()
            st.components.v1.html(f'<iframe src="{dtale_url}" width="1000" height="600" style="border:none;"></iframe>', height=700)
        if stop_button and st.session_state.dtale_instance:
            st.session_state.dtale_instance.kill()
            
    elif visualization_tool == "pygwalk":
        st.write("You selected pygwalk")
        run_button = st.button("Run")
        stop_button = st.button("Stop")
        pygwalk_instance = None
        if run_button:
            pygwalk_thread = threading.Thread(target=start_pygwalk_server, args=(data,))
            pygwalk_thread.start()
            st.write("Pygwalk server started. Please open the browser and navigate to the provided URL.")
        if stop_button and pygwalk_instance:
            # Currently, pygwalk doesn't provide a direct way to stop the server programmatically
            # You would typically need to stop the server manually (e.g., Ctrl+C in the terminal)
            st.write("To stop pygwalk, please manually stop the server")

if __name__ == "__main__":
    main()

[ObservedObserver]

Hi, it seems the code uses some API of pygwalker that does not exist.

You can check this pygwalker example of how to use with streamlit: How to Use PyGWalker with Streamlit – Nextra