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app.py

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+import streamlit as st
+import pandas as pd
+import numpy as np
+import yfinance as yf
+import altair as alt
+import plotly.figure_factory as ff
+import pydeck as pdk
+from vega_datasets import data as vds
+import plotly.express as px
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+from streamlit_image_comparison import image_comparison
+
+
+def on_input_change():
+    user_input = st.session_state.user_input
+    st.session_state.past.append(user_input)
+    st.session_state.generated.append(
+        {"data": "The messages from Bot\nWith new line", "type": "normal"}
+    )
+
+
+def on_btn_click():
+    del st.session_state.past[:]
+    del st.session_state.generated[:]
+
+
+def main():
+    st.title(" 3D Visualisation")
+    z_data = pd.read_csv(
+        "https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv"
+    )
+    fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
+    fig.update_layout(
+        title="Mt Bruno Elevation",
+        width=400,
+        height=400,
+        margin=dict(t=40, r=0, l=20, b=20),
+    )
+    name = "default"
+    camera = dict(
+        up=dict(x=0, y=0, z=1),
+        center=dict(x=0, y=0, z=0),
+        eye=dict(x=1.25, y=1.25, z=1.25),
+    )
+    fig.update_layout(scene_camera=camera, title=name)
+    st.plotly_chart(fig)
+    df = px.data.election()
+    geojson = px.data.election_geojson()
+    fig = px.choropleth_mapbox(
+        df,
+        geojson=geojson,
+        color="Bergeron",
+        locations="district",
+        featureidkey="properties.district",
+        center={"lat": 45.5517, "lon": -73.7073},
+        mapbox_style="carto-positron",
+        zoom=9,
+    )
+    st.plotly_chart(fig)
+    fig = make_subplots(
+        rows=2,
+        cols=2,
+        specs=[
+            [{"type": "surface"}, {"type": "surface"}],
+            [{"type": "surface"}, {"type": "surface"}],
+        ],
+    )
+    x = np.linspace(-5, 80, 10)
+    y = np.linspace(-5, 60, 10)
+    xGrid, yGrid = np.meshgrid(y, x)
+    z = xGrid**3 + yGrid**3
+    fig.add_trace(
+        go.Surface(x=x, y=y, z=z, colorscale="Viridis", showscale=False), row=1, col=1
+    )
+    fig.add_trace(
+        go.Surface(x=x, y=y, z=z, colorscale="RdBu", showscale=False), row=1, col=2
+    )
+    fig.add_trace(
+        go.Surface(x=x, y=y, z=z, colorscale="YlOrRd", showscale=False), row=2, col=1
+    )
+    fig.add_trace(
+        go.Surface(x=x, y=y, z=z, colorscale="YlGnBu", showscale=False), row=2, col=2
+    )
+    fig.update_layout(
+        title_text="3D subplots with different colorscales", height=800, width=800
+    )
+    st.plotly_chart(fig)
+    fig = px.scatter_3d(
+        px.data.iris(),
+        x="sepal_length",
+        y="sepal_width",
+        z="petal_width",
+        color="petal_length",
+        size="petal_length",
+        size_max=18,
+        symbol="species",
+        opacity=0.7,
+    )
+    fig.update_layout(margin=dict(l=0, r=0, b=0, t=0))
+    st.plotly_chart(fig)
+
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+streamlit
+yfinance
+streamlit-chat 
+vega_datasets
+streamlit_image_comparison 
+plotly==5.14.1
+altair
+pydeck