PyCafe - Dash - Comparison of Travel Times: LPR vs GPS

app.py
gpslpr_v1.csv
requirements.txt
app.py
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import pandas as pd
import plotly.graph_objects as go
from dash import Dash, dcc, html, Input, Output


# Read the CSV data
df = pd.read_csv('gpslpr_v1.csv')

# Convert 'Date' column to datetime
df['Date'] = pd.to_datetime(df['Date'], format='%d/%m/%Y')

# Create the Dash app
app = Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])

# Define the layout
app.layout = html.Div([
    html.H1("השוואת זמני נסיעה LPR ו GPS", style={'textAlign': 'center', 'marginTop': '20px', 'marginBottom': '20px'}),
    html.Div([
        html.Div([
            dcc.DatePickerSingle(
                id='date-picker',
                min_date_allowed=df['Date'].min(),
                max_date_allowed=df['Date'].max(),
                initial_visible_month=df['Date'].min(),
                date=df['Date'].min()
            )
        ], style={'width': '48%', 'display': 'inline-block'}),
        html.Div([
            dcc.Dropdown(
                id='segment-dropdown',
                options=[{'label': i, 'value': i} for i in df['sub_segment_name'].unique()],
                value=df['sub_segment_name'].unique()[0]
            )
        ], style={'width': '48%', 'float': 'right', 'display': 'inline-block'})
    ]),
    html.Div([
        dcc.Graph(id='travel-time-plot')
    ])
], style={'padding': '0 20px'})

@app.callback(
    Output('travel-time-plot', 'figure'),
    [Input('date-picker', 'date'),
     Input('segment-dropdown', 'value')]
)
def update_graph(date, segment):
    filtered_df = df[(df['Date'] == date) & (df['sub_segment_name'] == segment)]
    
    fig = go.Figure()

    fig.add_trace(go.Scatter(x=filtered_df['Hour'], y=filtered_df['LMS_TimeL_Mean'], mode='lines+markers', name='LPR(LMS) זמן נסיעה', line=dict(color='#ff7f0e')))
    fig.add_trace(go.Scatter(x=filtered_df['Hour'], y=filtered_df['AH_GPSAvgTravelTimeSec'], mode='lines+markers', name='GPS שיטה 2 זמן נסיעה +', line=dict(color='#1f77b4')))
    fig.add_trace(go.Scatter(x=filtered_df['Hour'], y=filtered_df['LMS_TimeG_Mean'], mode='lines+markers', name='(LMS) GPS שיטה 1 זמן נסיעה', line=dict(color='#e377c2')))
    fig.add_trace(go.Scatter(x=filtered_df['Hour'], y=filtered_df['LMS_TimeG_StdDev'], mode='lines+markers', name='(LMS) GPS 1 סטיית תקן  שיטה', line=dict(color='#2ca02c')))
    fig.add_trace(go.Scatter(x=filtered_df['Hour'], y=filtered_df['LMS_TimeL_StdDev'], mode='lines+markers', name='LPR(LMS) סטיית תקן -', line=dict(color='#ff7f0e', dash='dash')))
    fig.add_trace(go.Scatter(x=filtered_df['Hour'], y=filtered_df['AH_GPSStdDevTravelTimeSec'], mode='lines+markers', name='GPS שיטה 2 סטיית תקן -', line=dict(color='#1f77b4', dash='dash')))

    fig.update_layout(
        xaxis_title='שעה ביום',
        yaxis_title='זמן נסיעה (שניות)',
        legend_title='מקרא',
        font=dict(size=12),
        height=600
    )

    return fig

if __name__ == '__main__':
    app.run_server(debug=True)
Py.Cafe

dash-comparison-lpr-gps

Comparison of Travel Times: LPR vs GPS
