Is it possible to apply color on a polygon that is displayed in a chart?

[jessicairicardo]

How can I apply color on a polygon that is displayed in a chart so it’s easy to visualize if there was an improvement or not?

I want to display something like this image:

Please help me

[cgage1]

Have you come across this thread yet?:

Help styling arrows in dataframe

Once you concat the dataframes, you need to re-apply the styling to columns that were previously styled. Extending my example from above: import numpy as np import pandas as pd import streamlit as st @st.cache_data def load_data(): # range of values from -100 to 100 return pd.DataFrame(np.random.randint(-6, 6, size=(6, 2)), columns=list("ab")) def _format_arrow(val): return f"{'↑' if val > 0 else '↓'} {abs(val):.0f}%" if val != 0 else f"{val:.0f}%" def _color_arrow(val): …

It’s not exactly polygons, but you can use the same logic to get the desired output.

Let me know if this is what you are looking for.

[jessicairicardo]

It helps! I’m product analyst, but I will show this for the developer of my team.

Is it possible to display a arrow pointing forward?

[cgage1]

Looks like you should be able to get something like that, here is a big list of Streamlit compatible emojis that should work in there.

streamlit app

You might be able to get google material icons to work in the dataframes as well, however I have not tested that yet. I know they work for page icons in the side bar. Would be something like this “:material/arrow_forward_ios:”. Here is the library of all those: Material Symbols and Icons - Google Fonts