I’ve at all times been a fan of the styler technique in pandas. Once I began constructing Streamlit apps, it was clear to me that I needed to model my dataframes to assist in visualising dataframes, however… shock! As of the time of writing, Streamlit st.dataframe() doesn’t assist styler objects, solely dataframe objects. Nicely, correction, it does assist them, however the UI show is horrendous!
This is the reason I need to share with you my workarounds and concepts to constructing a well-styled dataframe in Streamlit. We are going to cowl:
- Find out how to add commas for separating 1000’s in numbers.
- Find out how to show a quantity as a proportion (from 0.24 within the knowledge to 24% within the UI)
- Find out how to add forex symbols.
- Find out how to add color to the cells. Even higher, I’ll share with you my favorite colour-grading operate.
- Find out how to add emojis! Sure, we cant dwell with out emojis 😊!
Streamlit is definitely fairly good at inferring one of the best show based mostly on knowledge sorts. Think about the…