I’ve all the time been a fan of the styler method in pandas. Once I began constructing Streamlit apps, it was clear to me that I needed to fashion 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. Effectively, correction, it does assist them, however the UI show is horrendous!
Because of this I wish to share with you my workarounds and concepts to constructing a well-styled dataframe in Streamlit. We are going to cowl:
- Methods to add commas for separating 1000’s in numbers.
- Methods to show a quantity as a proportion (from 0.24 within the knowledge to 24% within the UI)
- Methods to add foreign money symbols.
- Methods to add color to the cells. Even higher, I’ll share with you my favorite colour-grading operate.
- Methods to add emojis! Sure, we cant reside with out emojis 😊!
Streamlit is definitely fairly good at inferring one of the best show based mostly on knowledge sorts. Think about the…