Create app.py

app.py

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+import pandas as pd
+import numpy as np
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+import dash
+from dash import dcc, html, Input, Output, State
+import dash_bootstrap_components as dbc
+
+# Load CSV into DataFrame
+df = pd.read_csv('data.csv')
+
+# List of unique farm names for the dropdown
+farm_names = df['Farm Name'].unique()
+
+# Initialize the Dash app
+app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
+
+app.layout = dbc.Container([
+    dbc.Row([
+        dbc.Col([
+            html.H1("Farm Height Dashboard", className='text-center'),
+            dcc.Dropdown(
+                id='farm-dropdown',
+                options=[{'label': name, 'value': name} for name in farm_names],
+                placeholder='Select a farm...'
+            ),
+            html.Div(id='output-container')
+        ], width=12)
+    ]),
+    dbc.Row([
+        dbc.Col([
+            dcc.Graph(id='height-histogram')
+        ], width=12)
+    ])
+], fluid=True)
+
+@app.callback(
+    Output('height-histogram', 'figure'),
+    Output('output-container', 'children'),
+    Input('farm-dropdown', 'value')
+)
+def update_graph(selected_farm):
+    if selected_farm is None:
+        return go.Figure(), "Please select a farm."
+
+    # Filter data based on selected farm
+    filtered_df = df[df['Farm Name'] == selected_farm]
+    
+    # Prepare 3D surface data
+    weeks = np.arange(1, 19)
+    heights = filtered_df.iloc[:, 1:19].values  # Adjust for your actual data structure
+
+    fig = make_subplots(rows=1, cols=1, specs=[[{'type': 'surface'}]])
+
+    fig.add_trace(
+        go.Surface(
+            z=heights,
+            x=weeks,
+            y=filtered_df['Farm Name'].values,
+            colorscale='Viridis'
+        )
+    )
+
+    fig.update_layout(
+        title=f'Height Histogram for {selected_farm}',
+        scene=dict(
+            xaxis_title='Week',
+            yaxis_title='Farm Name',
+            zaxis_title='Height'
+        )
+    )
+
+    return fig, f"Displaying data for: {selected_farm}"
+
+if __name__ == '__main__':
+    app.run_server(debug=True)