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Create app.py
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app.py
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import streamlit as st
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import plotly.graph_objs as go
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import plotly.express as px
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from graphviz import Digraph
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st.title('Dog πΆ, Cat π±, and Graph π Adventures Visualizations')
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# Sankey Diagram
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st.header('Sankey Diagram')
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sankey_data = dict(
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type='sankey',
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node=dict(
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pad=15,
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thickness=20,
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line=dict(color='black', width=0.5),
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label=['A', 'B', 'C', 'D', 'E', 'F'],
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),
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link=dict(
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source=[0, 1, 0, 2, 3, 3],
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target=[2, 3, 3, 4, 4, 5],
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value=[8, 4, 2, 8, 4, 2],
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)
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)
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sankey_fig = go.Figure(sankey_data)
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st.plotly_chart(sankey_fig)
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# Plotly 3D Scatterplot
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st.header('3D Scatterplot')
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scatter_data = px.scatter_3d(x=[1, 2, 3, 4], y=[2, 3, 4, 5], z=[3, 4, 5, 6], color=['A', 'B', 'C', 'D'])
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st.plotly_chart(scatter_data)
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# Plotly Sunburst Chart
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st.header('Sunburst Chart')
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sunburst_data = px.sunburst(
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data_frame={'id': ['A', 'B', 'C', 'D', 'E', 'F'], 'parent': ['', 'A', 'A', 'B', 'B', 'C'], 'value': [1, 2, 3, 4, 5, 6]},
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names='id',
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parents='parent',
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values='value',
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)
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st.plotly_chart(sunburst_data)
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# Graphviz
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st.header('Graphviz Diagram')
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dot = Digraph()
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dot.node('A', 'Dog πΆ')
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dot.node('B', 'Cat π±')
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dot.node('C', 'Graph π')
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dot.edges(['AB', 'AC', 'BC'])
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st.graphviz_chart(dot)
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# Heatmap
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st.header('Heatmap')
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heatmap_data = px.imshow([[1, 20, 30], [20, 1, 60], [30, 60, 1]], color_continuous_scale='RdBu_r')
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st.plotly_chart(heatmap_data)
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