DataMiningProjectDash.py

from dash import Dash, html, dcc, callback, Output, Input
import plotly.express as px
import plotly.graph_objs as go
import pandas as pd

df = pd.read_csv('anomaly_table_v2.csv', delimiter=";")

app = Dash(__name__)
app.layout = html.Div([
    html.H1(children="DashBoard"),
    # Dropdown to select elements
    dcc.Dropdown(
        id='element-dropdown',
        options=['failed_engine', 'wo', 'nothing'],
        value='nothing'
    ),
    # Plotly graph
    dcc.Graph(id='graph-content'),
    dcc.Graph(id='map', style={'width': '90vh', 'height': '90vh'})
])

@callback(
    Output('graph-content', 'figure'),
    Input('element-dropdown', 'value')
)
def update_graph(value):
    dff = df[df['Anomalie_type']==value]
    return px.line(dff, x='lat', y='lon')

@callback(
    Output('map', 'figure'),
    Input('element-dropdown', 'value')
)
def update_graph(value):
    dff = df[df['Anomalie_type']==value]
    fig = go.Figure(go.Scattergeo(
        lat=dff['lat'],
        lon=dff['lon'],
        text=dff['mapped_veh_id'],
        mode='markers',
        marker_color=dff['mapped_veh_id']
    )).update_geos(
        visible=False, resolution=50,
        showcountries=True, countrycolor="Blue"
    ).update_layout(
        geo=dict(
            center=dict(lat=50.5503, lon=4.3517),
            projection_scale=80
        )
    )
    return fig

if __name__ == '__main__':
    app.run(debug=True)