Showing qs.reports.html in streamlit

[ceciliabonucchi]

Hello, thank you so much for developing this amazing library! I am trying to use it in my streamlit app, however even after extensive research I was not able to make it work. It doesn't seems to save the html output if I'm working outside of a Jupyter notebook.

Here's the code I came up with:

stock = qs.utils.download_returns('QQQ', period="10y") qs.reports.html(stock, "SPY", title="QQQ vs. SPY", output='Output.html')

#Show import streamlit.components.v1 as components HtmlFile = open('Output.html', 'r', encoding='utf-8') source_code = HtmlFile.read() print(source_code) components.html(source_code, height = 900)

But it's not working. Can you help me? Thank you very much!

[eervin123]

Would love to see this ^ +1 on the up vote.

[jamesfulford]

@ceciliabonucchi I haven't tried in streamlit, but I know I have to specify output=filepath, download_filename=filepath for it to actually save to that filepath. Maybe that's the problem here, if your print is printing nothing.

[TradingDominion]

@ceciliabonucchi

You can do it like this:

        stock = qs.utils.download_returns('AAPL')
        fig = qs.plots.snapshot(stock, title='AAPL Performance', show=False)
        st.write(fig)

[TradingDominion]

Now that I've managed to get the plots working in Streamlit, I've been trying to get them converted over to Plotly format in order to make them interactive. I've tried a whole bunch of variations but I haven't had any luck. If someone figures out, please post the solution in this thread.

[georgosqlab]

Could someone tell me how to integrate qs.reports.metrics report into streamlit app? Unfortunately it does not work with st.write() st.table(), st.markdown()...