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Create visualization.py
Browse files- visualization.py +69 -0
visualization.py
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import plotly.graph_objects as go
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from typing import List, Dict, Any
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def create_map_visualization(locations: List[Dict[str, Any]]) -> go.Figure:
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fig = go.Figure()
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# Add markers for each location
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fig.add_trace(go.Scattergeo(
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lon=[loc["longitude"] for loc in locations],
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lat=[loc["latitude"] for loc in locations],
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text=[loc["place_name"] for loc in locations],
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mode="markers+text",
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marker=dict(size=10, color="red"),
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textposition="top center"
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))
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# Update layout
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fig.update_layout(
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geo=dict(
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scope="world",
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showland=True,
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showcountries=True,
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landcolor="rgb(243, 243, 243)",
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countrycolor="rgb(204, 204, 204)"
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),
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title="Historical Art Locations",
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height=600
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)
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return fig
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def create_timeline_visualization(timeline_data: Dict[str, Any]) -> go.Figure:
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fig = go.Figure()
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# Add period span
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fig.add_trace(go.Scatter(
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x=[timeline_data["start_year"], timeline_data["end_year"]],
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y=[1, 1],
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mode="lines+markers",
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name=timeline_data["period_name"],
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line=dict(width=20, color="rgb(100, 100, 200)")
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))
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# Add historical events
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event_years = list(range(
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timeline_data["start_year"],
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timeline_data["end_year"],
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(timeline_data["end_year"] - timeline_data["start_year"]) // len(timeline_data["events"])
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))
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fig.add_trace(go.Scatter(
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x=event_years[:len(timeline_data["events"])],
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y=[1.2] * len(timeline_data["events"]),
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mode="markers+text",
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text=timeline_data["events"],
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textposition="top center",
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marker=dict(size=8, color="red")
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))
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# Update layout
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fig.update_layout(
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title="Historical Timeline",
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showlegend=False,
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height=400,
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yaxis=dict(visible=False),
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xaxis=dict(title="Year")
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)
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return fig
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