Drop Altair because native scatter is good enough

README.md

@@ -25,4 +25,5 @@ streamlit run src/streamlit_app.py
 
 ## Live environment
 
-https://huggingface.co/spaces/Arrechenash/dashboard
+https://arrechenash-dashboard.hf.space/
+https://huggingface.co/spaces/Arrechenash/dashboard

requirements.txt

@@ -1,4 +1,3 @@
 pandas
 duckdb
-streamlit
-altair
+streamlit

src/streamlit_app.py

@@ -1,6 +1,5 @@
 import os
 
-import altair as alt
 import duckdb
 import streamlit as st
 
@@ -11,7 +10,7 @@ st.set_page_config(layout="wide")
 url = (
     "stocks.parquet"
     if os.getenv("APP_ENV") == "development"
-    else "hf://datasets/Arrechenash/stocks@~parquet/**/*.parquet"
+    else "hf://datasets/Arrechenash/stocks/stocks.parquet"
 )
 
 
@@ -55,8 +54,6 @@ with st.sidebar:
     st.session_state.symbols = st.multiselect(
         "Symbols", load_symbols(), st.session_state.symbols
     )
-
-    st.write("Price Filters")
     st.session_state.min_open = st.number_input(
         "Min open", value=st.session_state.min_open
     )
@@ -66,8 +63,6 @@ with st.sidebar:
     st.session_state.min_run = st.number_input(
         "Min run %", value=st.session_state.min_run
     )
-
-    st.write("Volume Filters")
     st.session_state.min_vol = st.number_input(
         "Min volume", value=st.session_state.min_vol
     )
@@ -132,20 +127,6 @@ else:
                 key="y_axis",
             )
 
-        # Altair scatter plot
-        chart = (
-            alt.Chart(df)
-            .mark_circle(size=60)
-            .encode(
-                x=alt.X(x_axis, title=x_axis.capitalize()),
-                y=alt.Y(y_axis, title=y_axis.capitalize()),
-                color=alt.Color("symbol:N", legend=None),
-                tooltip=["symbol", x_axis, y_axis],
-            )
-            .interactive()
-            .properties(title=f"{y_axis} vs {x_axis}")
-        )
-
-        st.altair_chart(chart, use_container_width=True)
+        st.scatter_chart(df, x=x_axis, y=y_axis, color="symbol")
 
     st.write(f"Results: {len(df)}")