Landing configurations

A visualisation attempt at showing which landing configurations are the most commonly used at Zurich airport. The analysis uses one of the datasets made available in the traffic library.






















  
    

      
      flight_id
      stop
      ILS_max
    

  
  
    

      1923
      SWR177_15809_0
      2019-10-01 04:05:11+00:00
      34
    

    

      1635
      SWR139_15706_0
      2019-10-01 04:07:24+00:00
      34
    

    

      2284
      SWR296_13638_0
      2019-10-01 04:09:53+00:00
      34
    

    

      2518
      SWR55K_13535_0
      2019-10-01 04:11:41+00:00
      34
    

    

      1763
      SWR155_13346_0
      2019-10-01 04:13:31+00:00
      34
    

    

      ...
      ...
      ...
      ...
    

    

      3031
      TAP928_5353_0
      2019-10-09 20:40:28+00:00
      28
    

    

      2319
      SWR339_14452_0
      2019-10-09 20:43:40+00:00
      28
    

    

      501
      EDW201_8113_0
      2019-10-09 20:47:33+00:00
      28
    

    

      2392
      SWR40C_17396_0
      2019-10-09 20:56:33+00:00
      28
    

    

      578
      EDW399D_14044_0
      2019-10-09 21:08:48+00:00
      28
    

  



3196 rows × 3 columns






from traffic.data.datasets import landing_zurich_2019

import altair as alt

stats = (
    landing_zurich_2019.before("2019-10-10 00:00Z")
    .all("aligned_on_ils('LSZH')", flight_id="{self.flight_id}_{i}")
    .eval()
    .summary(["flight_id", "stop", "ILS_max"])
    .eval()
    .sort_values("stop")
)

chart = (
    alt.Chart(stats)
    .encode(
        alt.X("utchours(stop)", title=""),
        alt.Y("ILS_max", title=""),
        alt.Row("utcmonthdate(stop)", title=""),
        alt.Color("ILS_max", legend=None),
        alt.Size("count()", scale=alt.Scale(type="symlog"), title="Number of landings"),
    )
    .mark_circle()
    .properties(width=600, height=50)
    .configure_legend(orient="bottom")
    .configure_header(
        labelOrient="top", labelAnchor="start", labelFontWeight="bold", labelFontSize=12
    )
    .resolve_scale(x="independent", y="independent")
)

display(chart)
display(stats)