Operations¶

Imports¶

In [1]:

import pandas as pd
import numpy as np
import pint
ureg = pint.get_application_registry()
import plotly.graph_objects as go

import pandas as pd import numpy as np import pint ureg = pint.get_application_registry() import plotly.graph_objects as go

In [2]:

from aircraftdetective.processing.a4a import process_a4a_traffic_data

from aircraftdetective.processing.a4a import process_a4a_traffic_data

Data Processing¶

In [3]:

df = process_a4a_traffic_data()

df = process_a4a_traffic_data()

Visualization¶

In [7]:

fig = go.Figure()

fig.add_trace(go.Scatter(
    x=df['Year'],
    y=df['Passenger Load Factor'] * 100,
    mode='lines+markers',
    line=dict(width=2),
    marker=dict(size=6),
))
fig.update_layout(
    xaxis_title="Year",
    yaxis_title="Load Factor [%]"
)
fig.update_xaxes(range=[1950, 2025])
fig.update_yaxes(range=[0, 100])
fig.show(renderer="notebook")

fig = go.Figure() fig.add_trace(go.Scatter( x=df['Year'], y=df['Passenger Load Factor'] * 100, mode='lines+markers', line=dict(width=2), marker=dict(size=6), )) fig.update_layout( xaxis_title="Year", yaxis_title="Load Factor [%]" ) fig.update_xaxes(range=[1950, 2025]) fig.update_yaxes(range=[0, 100]) fig.show(renderer="notebook")