try again

app.py

@@ -1,161 +1,71 @@
-import streamlit as st
-import pandas as pd
-import numpy as np
-import altair as alt
-import plotly.express as px
-import plotly.graph_objects as go
-import pydeck as pdk
-from PIL import Image
-import cv2
-import io
-
-st.set_page_config(page_title="Streamlit Comprehensive Demo 🚀", page_icon="📝", layout="wide")
+# INSTRUCTIONS:
+# 1. Open a "Terminal" by: View --> Terminal OR just the "Terminal" through the hamburger menu
+# 2. run in terminal with: streamlit run test_altair_streamlit.py
+# 3. click the "Open in Browser" link that pops up OR click on "Ports" and copy the URL
+# 4. Open a Simple Browswer with View --> Command Palette --> Simple Browser: Show
+# 5. use the URL from prior steps as intput into this simple browser
 
-def main():
-    st.title("🎨 Streamlit Comprehensive Showcase")
-    st.markdown("Explore the various features of Streamlit in this interactive demo!")
 
-    # Sidebar for navigation
-    demo_type = st.sidebar.selectbox(
-        "Choose a Demo",
-        ["Basic Elements", "Data Visualization", "Interactive Widgets", "Advanced Features"]
+import streamlit as st
+import altair as alt
+from vega_datasets import data
+ 
+st.title('My First Streamlit App')
+
+source = data.seattle_weather()
+
+scale = alt.Scale(
+    domain=["sun", "fog", "drizzle", "rain", "snow"],
+    range=["#e7ba52", "#a7a7a7", "#aec7e8", "#1f77b4", "#9467bd"],
+)
+color = alt.Color("weather:N", scale=scale)
+
+# We create two selections:
+# - a brush that is active on the top panel
+# - a multi-click that is active on the bottom panel
+brush = alt.selection_interval(encodings=["x"])
+click = alt.selection_point(encodings=["color"])
+
+# Top panel is scatter plot of temperature vs time
+points = (
+    alt.Chart()
+    .mark_point()
+    .encode(
+        alt.X("monthdate(date):T", title="Date"),
+        alt.Y(
+            "temp_max:Q",
+            title="Maximum Daily Temperature (C)",
+            scale=alt.Scale(domain=[-5, 40]),
+        ),
+        color=alt.condition(brush, color, alt.value("lightgray")),
+        size=alt.Size("precipitation:Q", scale=alt.Scale(range=[5, 200])),
     )
+    .properties(width=550, height=300)
+    .add_params(brush)
+    .transform_filter(click)
+)
+
+# Bottom panel is a bar chart of weather type
+bars = (
+    alt.Chart()
+    .mark_bar()
+    .encode(
+        x="count()",
+        y="weather:N",
+        color=alt.condition(click, color, alt.value("lightgray")),
+    )
+    .transform_filter(brush)
+    .properties(
+        width=550,
+    )
+    .add_params(click)
+)
 
-    if demo_type == "Basic Elements":
-        show_basic_elements()
-    elif demo_type == "Data Visualization":
-        show_data_visualization()
-    elif demo_type == "Interactive Widgets":
-        show_interactive_widgets()
-    elif demo_type == "Advanced Features":
-        show_advanced_features()
-
-def show_basic_elements():
-    st.header("1. Basic Elements")
-
-    st.subheader("1.1 Text Elements")
-    st.text("This is simple text")
-    st.markdown("This is **markdown** with _styling_")
-    st.latex(r"\begin{pmatrix}a & b \\ c & d\end{pmatrix}")
-
-    st.subheader("1.2 Data Display")
-    df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
-    st.dataframe(df)
-    st.table(df)
-    st.json({"foo": "bar", "baz": "boz"})
-
-    st.subheader("1.3 Media Elements")
-    st.image("https://streamlit.io/images/brand/streamlit-mark-color.png", width=200)
-    st.audio("https://upload.wikimedia.org/wikipedia/commons/c/c4/Muriel-Nguyen-Xuan-Chopin-valse-opus64-1.ogg")
-    st.video("https://youtu.be/B2iAodr0fOo")
-
-def show_data_visualization():
-    st.header("2. Data Visualization")
-
-    @st.cache_data
-    def load_data():
-        return pd.DataFrame(np.random.randn(20, 3), columns=["A", "B", "C"])
-
-    data = load_data()
-
-    st.subheader("2.1 Streamlit Charts")
-    st.line_chart(data)
-    st.area_chart(data)
-    st.bar_chart(data)
-
-    st.subheader("2.2 Altair Chart")
-    chart = alt.Chart(data).mark_circle().encode(
-        x='A', y='B', size='C', color='C', tooltip=['A', 'B', 'C'])
-    st.altair_chart(chart, use_container_width=True)
-
-    st.subheader("2.3 Plotly Chart")
-    fig = px.scatter(data, x="A", y="B", size="C", color="C")
-    st.plotly_chart(fig, use_container_width=True)
-
-    st.subheader("2.4 PyDeck Chart")
-    chart_data = pd.DataFrame(np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4], columns=['lat', 'lon'])
-    st.pydeck_chart(pdk.Deck(
-        map_style=None,
-        initial_view_state=pdk.ViewState(latitude=37.76, longitude=-122.4, zoom=11, pitch=50),
-        layers=[pdk.Layer('HexagonLayer', data=chart_data, get_position='[lon, lat]', radius=200, elevation_scale=4, elevation_range=[0, 1000], pickable=True, extruded=True)]
-    ))
-
-def show_interactive_widgets():
-    st.header("3. Interactive Widgets")
-
-    st.subheader("3.1 Input Widgets")
-    text_input = st.text_input("Enter some text")
-    number = st.number_input("Enter a number", min_value=0, max_value=100)
-    date = st.date_input("Pick a date")
-
-    st.subheader("3.2 Selection Widgets")
-    option = st.selectbox("Choose an option", ["Option 1", "Option 2", "Option 3"])
-    options = st.multiselect("Choose multiple options", ["A", "B", "C", "D"])
-    slider_val = st.slider("Pick a number", 0, 100)
-
-    st.subheader("3.3 Button and Download")
-    if st.button("Click me!"):
-        st.write("Button clicked!")
-
-    @st.cache_data
-    def get_sample_data():
-        return pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
-
-    csv = get_sample_data().to_csv(index=False)
-    st.download_button("Download CSV", csv, "sample_data.csv", "text/csv")
-
-def show_advanced_features():
-    st.header("4. Advanced Features")
-
-    st.subheader("4.1 Layouts")
-    col1, col2 = st.columns(2)
-    with col1:
-        st.write("This is column 1")
-    with col2:
-        st.write("This is column 2")
-
-    with st.expander("Click to expand"):
-        st.write("This content is hidden by default")
-
-    st.subheader("4.2 Progress and Status")
-    progress_bar = st.progress(0)
-    for i in range(100):
-        progress_bar.progress(i + 1)
-    st.success("This is a success message!")
-    st.error("This is an error message!")
-    st.warning("This is a warning message!")
-    st.info("This is an info message!")
-
-    st.subheader("4.3 Cache and Performance")
-    @st.cache_data
-    def expensive_computation(a, b):
-        return a * b
-
-    result = expensive_computation(2, 21)
-    st.write(f"2 * 21 is {result}")
-
-    st.subheader("4.4 Session State")
-    if 'count' not in st.session_state:
-        st.session_state.count = 0
-
-    if st.button('Increment'):
-        st.session_state.count += 1
-
-    st.write('Count = ', st.session_state.count)
-
-    st.subheader("4.5 Forms")
-    with st.form("my_form"):
-        st.write("Inside the form")
-        slider_val = st.slider("Form slider")
-        checkbox_val = st.checkbox("Form checkbox")
-        submitted = st.form_submit_button("Submit")
-    if submitted:
-        st.write("Slider", slider_val, "Checkbox", checkbox_val)
+chart = alt.vconcat(points, bars, data=source, title="Seattle Weather: 2012-2015")
 
-    st.subheader("4.6 Popover")
-    with st.popover("Click for Popover"):
-        st.write("This is a popover")
-        st.image("https://streamlit.io/images/brand/streamlit-mark-color.png", width=100)
+tab1, tab2 = st.tabs(["Streamlit theme (default)", "Altair native theme"])
 
-if __name__ == "__main__":
-    main()
+with tab1:
+    st.altair_chart(chart, theme="streamlit", use_container_width=True)
+with tab2:
+    st.altair_chart(chart, theme=None, use_container_width=True)

requirements.txt

@@ -1,8 +1,3 @@
-streamlit==1.36.0
-pandas==1.5.3
-numpy==1.23.5
-altair==5.0.1
-plotly==5.14.1
-pydeck==0.8.0
-Pillow==9.5.0
-opencv-python-headless==4.7.0.72
+streamlit
+altair
+vega_datasets

requirements.txt_old

@@ -0,0 +1,8 @@
+streamlit==1.36.0
+pandas==1.5.3
+numpy==1.23.5
+altair==5.0.1
+plotly==5.14.1
+pydeck==0.8.0
+Pillow==9.5.0
+opencv-python-headless==4.7.0.72