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app.py

@@ -26,58 +26,89 @@ def on_btn_click():
 
 
 def main():
-    st.title(" Stock Forecasting App")
-    uploaded_file = st.file_uploader("Choose a file", type=["jpg", "png", "mp3"])
-    value = st.slider(
-        " Select Horizon Period", min_value=0, max_value=100, value=50, key=18
-    )
-    value = st.slider(" Folds", min_value=0, max_value=100, value=50, key=80)
-    if st.button(" start"):
-        st.write("Button clicked!")
-    st.title(" Training")
+    st.title(" US Real Estate Data and Market Trends")
     (
         col1,
         col2,
     ) = st.columns(2)
     with col1:
-        st.table(
-            {
-                "Country": ["USA", "Canada", "UK", "Australia"],
-                "Population (millions)": [331, 38, 66, 25],
-                "GDP (trillion USD)": [22.675, 1.843, 2.855, 1.488],
-            }
-        )
+        option = st.selectbox(" Monthly / Weekly", [" Monthly ", " Weekly"])
+    with col2:
+        option = st.selectbox(" Current / Historical", [" Current ", " Historical"])
+    (
+        col1,
+        col2,
+    ) = st.columns(2)
+    with col1:
+        option = st.selectbox(" Median / Mean", [" Median ", " Mean"])
     with col2:
-        data = {"key": "value", "name": "John Doe", "age": 30}
-        st.json(data)
-    st.title(" Forecast")
+        option = st.selectbox(" San Francisco", [" San Francisco"])
     (
         col1,
         col2,
     ) = st.columns(2)
     with col1:
-        st.line_chart(
+        selected_color = st.color_picker(" Choose a palate", "#FF0000")
+    with col2:
+        value = st.slider(" No of colors", min_value=0, max_value=100, value=50, key=45)
+    if st.checkbox(" Show raw data"):
+        st.write("Checkbox checked!")
+    st.subheader(" Global 3D Visualization")
+    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=pd.DataFrame(
+                        np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],
+                        columns=["lat", "lon"],
+                    ),
+                    get_position="[lon, lat]",
+                    radius=200,
+                    elevation_scale=4,
+                    elevation_range=[0, 1000],
+                    pickable=True,
+                    extruded=True,
+                ),
+                pdk.Layer(
+                    "ScatterplotLayer",
+                    data=pd.DataFrame(
+                        np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],
+                        columns=["lat", "lon"],
+                    ),
+                    get_position="[lon, lat]",
+                    get_color="[200, 30, 0, 160]",
+                    get_radius=200,
+                ),
+            ],
+        )
+    )
+    st.subheader(" 2D Visualization")
+    st.altair_chart(
+        alt.Chart(
             pd.DataFrame(
                 {
-                    "Apple": yf.download("AAPL", start="2023-01-01", end="2023-07-31")[
-                        "Adj Close"
-                    ],
-                    "Google": yf.download(
-                        "GOOGL", start="2023-01-01", end="2023-07-31"
-                    )["Adj Close"],
-                    "Microsoft": yf.download(
-                        "MSFT", start="2023-01-01", end="2023-07-31"
-                    )["Adj Close"],
+                    "x": np.random.rand(50),
+                    "y": np.random.rand(50),
+                    "size": np.random.randint(10, 100, 50),
+                    "color": np.random.rand(50),
                 }
             )
         )
-    with col2:
-        data = pd.DataFrame(
-            {"X": [1, 2, 3, 4, 5], "Y1": [10, 16, 8, 14, 12], "Y2": [5, 8, 3, 6, 7]}
+        .mark_circle()
+        .encode(
+            x="x",
+            y="y",
+            size="size",
+            color="color",
+            tooltip=["x", "y", "size", "color"],
         )
-        st.area_chart(data)
-    st.bar_chart(
-        pd.DataFrame(np.random.randn(20, 3), columns=["Apple", "Banana", "Cherry"])
+        .properties(width=600, height=400),
+        use_container_width=True,
     )