Hello Streamlit Community!
I just released this geospatial weather application that can provide a weather report at each station .

When looking at the application on streamlit launched locally, there is only one error that shows initially if an object is not clicked. This is the error:

TypeError: ‘NoneType’ object is not subscriptable

This error goes away after selecting an object, but I believe the issue stems from the Limit Data Return on streamlit-folium,
streamlit-folium documentation: Limit Data Return · Streamlit

Any feedback would be much appreciated.

Requirements file

theeliad/Geospatial_Weather_App/blob/main/requirements.txt

numpy==1.24.2
pandas==1.5.3
lxml==4.9.2
nwsapy==1.0.3
folium==0.14.0
streamlit==1.20.0
streamlit-folium==0.11.1
Links

Link to your GitHub repo: GitHub - theeliad/Geospatial_Weather_App: Geospatial Folium App that uses Streamlit to visualize station markers that provide a 7-day forecast
Link to your deployed app: https://theeliad-geospatial-weather-app-main-4jq9qz.streamlit.app/
              
Hi @theeliad, welcome to the forum!  
Here’s the entire traceback when running the app locally:
Traceback (most recent call last):
  File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 565, in _run_script
    exec(code, module.__dict__)
  File "/Users/adsdsa/Downloads/streamlit-misc/Geospatial_Weather_App/main.py", line 115, in <module>
    app()
  File "/Users/adsdsa/Downloads/streamlit-misc/Geospatial_Weather_App/main.py", line 110, in app
    detailed_forecast_df = get_forecast_periods_df(output)
  File "/Users/adsdsa/Downloads/streamlit-misc/Geospatial_Weather_App/get_forecast.py", line 20, in get_forecast_periods_df
    latlon_pointdata = api_connector.get_point(output['last_object_clicked']['lat'],
TypeError: 'NoneType' object is not subscriptable
From the traceback, it’s clear that output['last_object_clicked'] is a NoneType object. You have to account for the condition when no object has been clicked yet.
The simplest solution would be to execute get_forecast_periods_df(output) if output["last_object_clicked"] is not None. Perhaps here:
with row1_col2:
    st.write(output)
with st.expander("Click here to expand and view weather forecast"):
    if output["last_object_clicked"] is not None:
        detailed_forecast_df = get_forecast_periods_df(output)
        st.dataframe(detailed_forecast_df)
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