avo-app.py

# Import libraries
from dash import Dash, html, dcc, Input, Output
import pandas as pd
import plotly.express as px

# Load the dataset
df = pd.read_csv('Resources/avocado-updated-2020.csv')

# Create the Dash app
app = Dash()

# Set up the app layout
geo_dropdown = dcc.Dropdown(options=df['geography'].unique(),
                            value='San Diego')

app.layout = html.Div(children=[
    html.H1(children='Avocado Prices Dashboard'),
    geo_dropdown,
    dcc.Graph(id='price-graph')
])


# Set up the callback function
@app.callback(
    Output(component_id='price-graph', component_property='figure'),
    Input(component_id=geo_dropdown, component_property='value')
)
def update_graph(selected_geography):
    filtered_df = df[df['geography'] == selected_geography]
    line_fig = px.line(filtered_df,
                       x='date', y='average_price',
                       color='type',
                       title=f'Avocado Prices in {selected_geography}')
    return line_fig


# Run local server
if __name__ == '__main__':
    app.run_server(debug=True)