Closed arnaudmiribel closed 1 year ago
Fun little addition to Altex to have mini charts
https://playground.streamlit.app?q=minispark
import yfinance import pandas as pd import yfinance as yf from streamlit_extras.altex import sparkline_chart import altair as alt msft = yf.Ticker("MSFT") data = msft.history().reset_index() def minispark(data: pd.DataFrame, x: str = "record_date:T", y: str = "cost") -> None: sparkline_chart( data=data, x=x, y=alt.Y( y + ":Q", scale=alt.Scale(domain=[data[y].min(), data[y].max()]), ), height=80, ) left, middle, right = st.columns(3) with left: st.metric("Average Open", int(data["Open"].mean())) minispark(data, x="Date", y="Open") with middle: st.metric("Average Close", int(data["Close"].mean())) minispark(data, x="Date", y="Close") with right: st.metric("Average Volume", int(data["Volume"].mean())) minispark(data, x="Date", y="Open")
Fun little addition to Altex to have mini charts
https://playground.streamlit.app?q=minispark
Code