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Update app.py
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app.py
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@@ -354,36 +354,48 @@ with gr.Blocks() as demo:
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with gr.Tab("Dashboard"):
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gr.Markdown("## Exploratory Data Analysis of NYC Urban Data")
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with gr.Row():
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max_date = panel_df['month'].max().strftime('%Y-%m-%d')
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# Function to update both plots at once
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def update_dashboard(metric, start_date, end_date):
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with gr.Tab("Dashboard"):
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gr.Markdown("## Exploratory Data Analysis of NYC Urban Data")
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# Horizontal controls layout
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with gr.Row():
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metric_selector = gr.Dropdown(
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label="Select Metric",
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choices=['crime_total', 'sr311_total', 'dob_permits_total'],
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value='crime_total',
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scale=2
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)
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# Get date range from data
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min_date = panel_df['month'].min().strftime('%Y-%m-%d')
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max_date = panel_df['month'].max().strftime('%Y-%m-%d')
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start_date_picker = gr.Textbox(
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label="Start Date (YYYY-MM-DD)",
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value=min_date,
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placeholder="2023-01-01",
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scale=1
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)
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end_date_picker = gr.Textbox(
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label="End Date (YYYY-MM-DD)",
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value=max_date,
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placeholder="2023-12-31",
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scale=1
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)
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update_button = gr.Button("Update Dashboard", scale=1)
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# Side-by-side visualizations
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("### Spatial Distribution")
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# Initialize with default data
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initial_map = create_choropleth_map('crime_total', min_date, max_date)
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map_plot = gr.Plot(value=initial_map)
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with gr.Column(scale=1):
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gr.Markdown("### Time Series Analysis")
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# Initialize with default data
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initial_ts = create_time_series_plot('crime_total', min_date, max_date)
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ts_plot = gr.Plot(value=initial_ts)
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# Function to update both plots at once
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def update_dashboard(metric, start_date, end_date):
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