6446 lines
994 KiB
Plaintext
6446 lines
994 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"id": "0fca612a",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"from adsbpy import csvutil\n",
|
||
"import pathlib\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
" \n",
|
||
"\n",
|
||
"from mpl_toolkits.basemap import Basemap"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"id": "76bf74d5",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"csv_path = pathlib.Path(\"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0\")\n",
|
||
"df = csvutil.get_basics_from_dir(csv_path, go_into_subdirs=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"id": "e8257066",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
|
||
"columns": [
|
||
{
|
||
"name": "index",
|
||
"rawType": "int64",
|
||
"type": "integer"
|
||
},
|
||
{
|
||
"name": "file",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "icao",
|
||
"rawType": "object",
|
||
"type": "unknown"
|
||
},
|
||
{
|
||
"name": "reg",
|
||
"rawType": "object",
|
||
"type": "unknown"
|
||
},
|
||
{
|
||
"name": "type",
|
||
"rawType": "object",
|
||
"type": "unknown"
|
||
},
|
||
{
|
||
"name": "first_seen",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_lat",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_lon",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_alt",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_airspeed",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_seen",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_lat",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_lon",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_alt",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_airspeed",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
}
|
||
],
|
||
"ref": "95a6dbe0-2123-4965-84ed-f7b1ca05c0b1",
|
||
"rows": [
|
||
[
|
||
"0",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_3c66e9.json.csv",
|
||
"3c66e9",
|
||
"D-AIWI",
|
||
"A320",
|
||
"1732075924.91",
|
||
"59.41232",
|
||
"24.88147",
|
||
"2900.0",
|
||
null,
|
||
"1732140774.37",
|
||
"45.43005",
|
||
"9.27869",
|
||
"675.0",
|
||
"145.0"
|
||
],
|
||
[
|
||
"1",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9e9.json.csv",
|
||
"4ac9e9",
|
||
"SE-ROI",
|
||
"A20N",
|
||
"1732085971.41",
|
||
"69.75667",
|
||
"19.10002",
|
||
"2000.0",
|
||
null,
|
||
"1732144931.89",
|
||
"60.17564",
|
||
"11.06835",
|
||
"1475.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"2",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4676f7.json.csv",
|
||
"4676f7",
|
||
null,
|
||
null,
|
||
"1732126823.53",
|
||
"60.31137",
|
||
"24.98058",
|
||
"0.0",
|
||
null,
|
||
"1732132918.13",
|
||
"60.31483",
|
||
"24.97566",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"3",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_151df7.json.csv",
|
||
"151df7",
|
||
"RA-73207",
|
||
"A320",
|
||
"1732106066.6",
|
||
"59.80501",
|
||
"30.27747",
|
||
"825.0",
|
||
"176.0",
|
||
"1732143410.96",
|
||
"57.83327",
|
||
"57.56969",
|
||
"33000.0",
|
||
null
|
||
],
|
||
[
|
||
"4",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4601f7.json.csv",
|
||
"4601f7",
|
||
"OH-ATJ",
|
||
"AT75",
|
||
"1732073115.3",
|
||
"65.16962",
|
||
"24.71671",
|
||
"20025.0",
|
||
null,
|
||
"1732104739.68",
|
||
"60.31817",
|
||
"24.95907",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"5",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca88.json.csv",
|
||
"4aca88",
|
||
"SE-RTH",
|
||
"B38M",
|
||
"1732086000.02",
|
||
"59.66235",
|
||
"17.92255",
|
||
"1225.0",
|
||
null,
|
||
"1732129621.1",
|
||
"59.61619",
|
||
"17.94693",
|
||
"1250.0",
|
||
"149.0"
|
||
],
|
||
[
|
||
"6",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4cad88.json.csv",
|
||
"4cad88",
|
||
"EI-SIU",
|
||
"A20N",
|
||
"1732079379.71",
|
||
"59.66258",
|
||
"17.96942",
|
||
"1025.0",
|
||
null,
|
||
"1732141856.24",
|
||
"59.6336",
|
||
"17.91188",
|
||
"1150.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"7",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_502d88.json.csv",
|
||
"502d88",
|
||
"YL-ABT",
|
||
"BCS3",
|
||
"1732074438.22",
|
||
"56.02213",
|
||
"21.40578",
|
||
"10325.0",
|
||
null,
|
||
"1732142732.85",
|
||
"60.82269",
|
||
"23.47579",
|
||
"10300.0",
|
||
"279.0"
|
||
],
|
||
[
|
||
"8",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_155c54.json.csv",
|
||
"155c54",
|
||
"RA-89172",
|
||
"SU95",
|
||
"1732088981.81",
|
||
"59.79943",
|
||
"30.29398",
|
||
"0.0",
|
||
null,
|
||
"1732106086.75",
|
||
"59.80196",
|
||
"30.2778",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"9",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_478054.json.csv",
|
||
"478054",
|
||
"LN-OQM",
|
||
"S92",
|
||
"1732086728.2",
|
||
"58.90183",
|
||
"5.47247",
|
||
"2125.0",
|
||
null,
|
||
"1732086728.2",
|
||
"58.90183",
|
||
"5.47247",
|
||
"2125.0",
|
||
null
|
||
],
|
||
[
|
||
"10",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac54.json.csv",
|
||
"45ac54",
|
||
"OY-KBT",
|
||
"A319",
|
||
"1732091290.57",
|
||
"60.19688",
|
||
"11.12006",
|
||
"1675.0",
|
||
"160.0",
|
||
"1732137575.28",
|
||
"62.6244",
|
||
"11.29775",
|
||
"22375.0",
|
||
"269.0"
|
||
],
|
||
[
|
||
"11",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_48548c.json.csv",
|
||
"48548c",
|
||
"PH-EXK",
|
||
"E75L",
|
||
"1732131937.76",
|
||
"52.30122",
|
||
"4.75812",
|
||
"0.0",
|
||
null,
|
||
"1732136691.61",
|
||
"58.20348",
|
||
"8.07655",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"12",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca8c.json.csv",
|
||
"4aca8c",
|
||
"SE-RTL",
|
||
"B38M",
|
||
"1732076470.2",
|
||
"60.31706",
|
||
"24.97151",
|
||
"0.0",
|
||
null,
|
||
"1732114004.43",
|
||
"60.31899",
|
||
"24.96952",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"13",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47878c.json.csv",
|
||
"47878c",
|
||
"LN-DYY",
|
||
"B738",
|
||
"1732084035.12",
|
||
"60.21414",
|
||
"11.09051",
|
||
"1750.0",
|
||
null,
|
||
"1732133171.71",
|
||
"62.53912",
|
||
"11.20799",
|
||
"18925.0",
|
||
"309.0"
|
||
],
|
||
[
|
||
"14",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47838c.json.csv",
|
||
"47838c",
|
||
"LN-ODL",
|
||
"A139",
|
||
"1732092589.8",
|
||
"69.6739",
|
||
"19.03179",
|
||
"1375.0",
|
||
null,
|
||
"1732107094.57",
|
||
"69.66659",
|
||
"18.98033",
|
||
"625.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"15",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_155bb9.json.csv",
|
||
"155bb9",
|
||
"RA-89017",
|
||
"SU95",
|
||
"1732080226.7",
|
||
"59.80543",
|
||
"30.27482",
|
||
"625.0",
|
||
null,
|
||
"1732111240.43",
|
||
"59.80389",
|
||
"30.28455",
|
||
"1475.0",
|
||
null
|
||
],
|
||
[
|
||
"16",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ca8b9.json.csv",
|
||
"4ca8b9",
|
||
"EI-FPN",
|
||
"CRJ9",
|
||
"1732084260.83",
|
||
"62.69344",
|
||
"9.61874",
|
||
"26475.0",
|
||
null,
|
||
"1732131063.01",
|
||
"62.66743",
|
||
"8.86495",
|
||
"27925.0",
|
||
"298.0"
|
||
],
|
||
[
|
||
"17",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_1130b9.json.csv",
|
||
"1130b9",
|
||
"TWR",
|
||
"TWR",
|
||
"1732060816.85",
|
||
"59.80404",
|
||
"30.29539",
|
||
"0.0",
|
||
null,
|
||
"1732147198.83",
|
||
"59.80404",
|
||
"30.29539",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"18",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4864ee.json.csv",
|
||
"4864ee",
|
||
"PH-NXO",
|
||
"E295",
|
||
"1732080814.93",
|
||
"57.67133",
|
||
"12.28759",
|
||
"1225.0",
|
||
null,
|
||
"1732113602.04",
|
||
"52.29966",
|
||
"4.75452",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"19",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_ae1bee.json.csv",
|
||
"ae1bee",
|
||
"06-8612",
|
||
"C30J",
|
||
"1732084490.42",
|
||
"55.50874",
|
||
"-4.59303",
|
||
"300.0",
|
||
null,
|
||
"1732104706.38",
|
||
"65.32997",
|
||
"19.87928",
|
||
"7875.0",
|
||
"194.0"
|
||
],
|
||
[
|
||
"20",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_151dee.json.csv",
|
||
"151dee",
|
||
"RA-73198",
|
||
"A319",
|
||
"1732075166.58",
|
||
"59.80476",
|
||
"30.27853",
|
||
"0.0",
|
||
null,
|
||
"1732138515.81",
|
||
"59.80262",
|
||
"30.27775",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"21",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9ee.json.csv",
|
||
"4ac9ee",
|
||
"SE-RON",
|
||
"A20N",
|
||
"1732078922.74",
|
||
"59.42958",
|
||
"24.91489",
|
||
"3550.0",
|
||
null,
|
||
"1732134633.83",
|
||
"59.62234",
|
||
"17.9492",
|
||
"1175.0",
|
||
"135.0"
|
||
],
|
||
[
|
||
"22",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4067ee.json.csv",
|
||
"4067ee",
|
||
"G-TAWK",
|
||
"B738",
|
||
"1732061161.01",
|
||
"59.99945",
|
||
"21.84603",
|
||
"40000.0",
|
||
"229.0",
|
||
"1732069661.84",
|
||
"51.15374",
|
||
"-0.1503",
|
||
"675.0",
|
||
"127.0"
|
||
],
|
||
[
|
||
"23",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_ae08ee.json.csv",
|
||
"ae08ee",
|
||
"83-0497",
|
||
"BE20",
|
||
"1732119885.74",
|
||
"52.37242",
|
||
"13.50525",
|
||
"775.0",
|
||
null,
|
||
"1732127329.29",
|
||
"60.16681",
|
||
"11.06382",
|
||
"1650.0",
|
||
"121.0"
|
||
],
|
||
[
|
||
"24",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4677c2.json.csv",
|
||
"4677c2",
|
||
null,
|
||
null,
|
||
"1732109901.04",
|
||
"60.31848",
|
||
"24.96181",
|
||
"0.0",
|
||
null,
|
||
"1732136616.79",
|
||
"60.30825",
|
||
"24.95641",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"25",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4784c2.json.csv",
|
||
"4784c2",
|
||
"LN-NOD",
|
||
"B738",
|
||
"1732088667.44",
|
||
"60.21922",
|
||
"11.09269",
|
||
"1975.0",
|
||
null,
|
||
"1732131574.56",
|
||
"63.14858",
|
||
"11.75579",
|
||
"39000.0",
|
||
"241.0"
|
||
],
|
||
[
|
||
"26",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ab4c2.json.csv",
|
||
"4ab4c2",
|
||
"SE-MFB",
|
||
"F50",
|
||
"1732123570.96",
|
||
"60.56376",
|
||
"10.62661",
|
||
"14600.0",
|
||
null,
|
||
"1732124135.53",
|
||
"60.03394",
|
||
"10.98298",
|
||
"4400.0",
|
||
null
|
||
],
|
||
[
|
||
"27",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acac2.json.csv",
|
||
"4acac2",
|
||
"SE-RVB",
|
||
"PC24",
|
||
"1732095167.34",
|
||
"63.75147",
|
||
"20.28702",
|
||
"3900.0",
|
||
null,
|
||
"1732100556.57",
|
||
"63.56992",
|
||
"20.55774",
|
||
"5650.0",
|
||
"244.0"
|
||
],
|
||
[
|
||
"28",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_461e1f.json.csv",
|
||
"461e1f",
|
||
"OH-LKP",
|
||
"E190",
|
||
"1732074933.65",
|
||
"59.41346",
|
||
"24.86973",
|
||
"2300.0",
|
||
null,
|
||
"1732140818.7",
|
||
"60.31735",
|
||
"24.96054",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"29",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_155c1f.json.csv",
|
||
"155c1f",
|
||
"RA-89119",
|
||
"SU95",
|
||
"1732078682.26",
|
||
"59.8049",
|
||
"30.27859",
|
||
"850.0",
|
||
null,
|
||
"1732109544.41",
|
||
"59.80031",
|
||
"30.30967",
|
||
"1600.0",
|
||
null
|
||
],
|
||
[
|
||
"30",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4a821f.json.csv",
|
||
"4a821f",
|
||
"100003",
|
||
"SF34",
|
||
"1732092203.62",
|
||
"58.40013",
|
||
"15.51852",
|
||
"0.0",
|
||
null,
|
||
"1732123819.86",
|
||
"58.40012",
|
||
"15.51848",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"31",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ab422.json.csv",
|
||
"4ab422",
|
||
"SE-MAB",
|
||
"DH8C",
|
||
"1732100432.07",
|
||
"58.82181",
|
||
"15.36125",
|
||
"5750.0",
|
||
null,
|
||
"1732110463.24",
|
||
"55.24512",
|
||
"13.75014",
|
||
"5600.0",
|
||
null
|
||
],
|
||
[
|
||
"32",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4b7f43.json.csv",
|
||
"4b7f43",
|
||
"T-752",
|
||
"CL60",
|
||
"1732117910.83",
|
||
"66.55879",
|
||
"25.89788",
|
||
"5150.0",
|
||
null,
|
||
"1732129681.43",
|
||
"46.92903",
|
||
"7.47894",
|
||
"2225.0",
|
||
"126.0"
|
||
],
|
||
[
|
||
"33",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a743.json.csv",
|
||
"47a743",
|
||
"LN-NGM",
|
||
"B738",
|
||
"1732088140.02",
|
||
"60.22984",
|
||
"11.09932",
|
||
"2375.0",
|
||
null,
|
||
"1732133273.27",
|
||
"60.16206",
|
||
"11.06019",
|
||
"1750.0",
|
||
"137.0"
|
||
],
|
||
[
|
||
"34",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_155c5c.json.csv",
|
||
"155c5c",
|
||
"RA-89180",
|
||
"SU95",
|
||
"1732122848.8",
|
||
"59.80117",
|
||
"30.22188",
|
||
"0.0",
|
||
null,
|
||
"1732123104.07",
|
||
"59.79533",
|
||
"30.24939",
|
||
"1075.0",
|
||
null
|
||
],
|
||
[
|
||
"35",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47875c.json.csv",
|
||
"47875c",
|
||
"LN-DYR",
|
||
"B738",
|
||
"1732081681.71",
|
||
"60.41289",
|
||
"6.32479",
|
||
"22950.0",
|
||
"301.0",
|
||
"1732097351.39",
|
||
"60.21364",
|
||
"7.10465",
|
||
"19350.0",
|
||
"295.0"
|
||
],
|
||
[
|
||
"36",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_151e1c.json.csv",
|
||
"151e1c",
|
||
"RA-73244",
|
||
"B738",
|
||
"1732064892.81",
|
||
"56.32068",
|
||
"57.65117",
|
||
"36000.0",
|
||
null,
|
||
"1732139938.2",
|
||
"59.80339",
|
||
"30.28885",
|
||
"1125.0",
|
||
"168.0"
|
||
],
|
||
[
|
||
"37",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_461e1c.json.csv",
|
||
"461e1c",
|
||
"OH-LKM",
|
||
"E190",
|
||
"1732060806.47",
|
||
"49.03231",
|
||
"2.66534",
|
||
"2075.0",
|
||
"143.0",
|
||
"1732147199.62",
|
||
"60.38113",
|
||
"25.0905",
|
||
"2700.0",
|
||
"130.0"
|
||
],
|
||
[
|
||
"38",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_155c1c.json.csv",
|
||
"155c1c",
|
||
"RA-89116",
|
||
"SU95",
|
||
"1732113167.36",
|
||
"59.79905",
|
||
"30.26715",
|
||
"0.0",
|
||
null,
|
||
"1732135784.73",
|
||
"59.70625",
|
||
"30.93961",
|
||
"12675.0",
|
||
"280.0"
|
||
],
|
||
[
|
||
"39",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47921c.json.csv",
|
||
"47921c",
|
||
"LN-NIO",
|
||
"B738",
|
||
"1732082281.59",
|
||
"60.20883",
|
||
"11.08748",
|
||
"1625.0",
|
||
null,
|
||
"1732134680.75",
|
||
"58.95886",
|
||
"6.24051",
|
||
"7525.0",
|
||
"241.0"
|
||
],
|
||
[
|
||
"40",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_50801c.json.csv",
|
||
"50801c",
|
||
"UR-82008",
|
||
"A124",
|
||
"1732091352.18",
|
||
"60.2176",
|
||
"11.09237",
|
||
"1900.0",
|
||
null,
|
||
"1732114154.27",
|
||
"60.16313",
|
||
"11.06098",
|
||
"1700.0",
|
||
"133.0"
|
||
],
|
||
[
|
||
"41",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4cad42.json.csv",
|
||
"4cad42",
|
||
"EI-SIO",
|
||
"A20N",
|
||
"1732091656.96",
|
||
"60.19865",
|
||
"11.12277",
|
||
"2075.0",
|
||
"156.0",
|
||
"1732138671.45",
|
||
"51.46754",
|
||
"-0.44127",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"42",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_781942.json.csv",
|
||
"781942",
|
||
"B-20EQ",
|
||
"B789",
|
||
"1732069965.69",
|
||
"60.15676",
|
||
"24.84646",
|
||
"3600.0",
|
||
"202.0",
|
||
"1732126180.12",
|
||
"60.49784",
|
||
"25.29877",
|
||
"10375.0",
|
||
"246.0"
|
||
],
|
||
[
|
||
"43",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_155c42.json.csv",
|
||
"155c42",
|
||
"RA-89154",
|
||
"SU95",
|
||
"1732076463.5",
|
||
"59.80552",
|
||
"30.27387",
|
||
"625.0",
|
||
null,
|
||
"1732076466.55",
|
||
"59.80495",
|
||
"30.27741",
|
||
"725.0",
|
||
null
|
||
],
|
||
[
|
||
"44",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_48418b.json.csv",
|
||
"48418b",
|
||
"PH-BXP",
|
||
"B739",
|
||
"1732085089.93",
|
||
"59.67019",
|
||
"17.92514",
|
||
"1550.0",
|
||
null,
|
||
"1732116763.64",
|
||
"52.67712",
|
||
"1.45326",
|
||
"2225.0",
|
||
"175.0"
|
||
],
|
||
[
|
||
"45",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47808b.json.csv",
|
||
"47808b",
|
||
"LN-WIC",
|
||
"DH8A",
|
||
"1732078757.23",
|
||
"62.18024",
|
||
"6.0792",
|
||
"0.0",
|
||
null,
|
||
"1732138301.13",
|
||
"61.87079",
|
||
"6.38021",
|
||
"5850.0",
|
||
null
|
||
],
|
||
[
|
||
"46",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_3c648b.json.csv",
|
||
"3c648b",
|
||
"D-AIDK",
|
||
"A321",
|
||
"1732082053.8",
|
||
"41.28829",
|
||
"2.07688",
|
||
"0.0",
|
||
null,
|
||
"1732142588.37",
|
||
"59.63338",
|
||
"17.91193",
|
||
"1150.0",
|
||
"154.0"
|
||
],
|
||
[
|
||
"47",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_46788b.json.csv",
|
||
"46788b",
|
||
"LJ-3",
|
||
"LJ35",
|
||
"1732087744.22",
|
||
"61.41977",
|
||
"23.63007",
|
||
"2100.0",
|
||
"207.0",
|
||
"1732094591.26",
|
||
"61.91016",
|
||
"23.24089",
|
||
"12375.0",
|
||
null
|
||
],
|
||
[
|
||
"48",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca8b.json.csv",
|
||
"4aca8b",
|
||
"SE-RTK",
|
||
"B38M",
|
||
"1732082391.62",
|
||
"59.67384",
|
||
"17.92612",
|
||
"1825.0",
|
||
null,
|
||
"1732123401.32",
|
||
"55.5905",
|
||
"12.60098",
|
||
"675.0",
|
||
"143.0"
|
||
],
|
||
[
|
||
"49",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_507c59.json.csv",
|
||
"507c59",
|
||
"UK-78706",
|
||
"B788",
|
||
"1732060805.1",
|
||
"62.48474",
|
||
"16.18805",
|
||
"39000.0",
|
||
"264.0",
|
||
"1732062665.2",
|
||
"60.8269",
|
||
"24.41219",
|
||
"40975.0",
|
||
"252.0"
|
||
]
|
||
],
|
||
"shape": {
|
||
"columns": 14,
|
||
"rows": 719
|
||
}
|
||
},
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>file</th>\n",
|
||
" <th>icao</th>\n",
|
||
" <th>reg</th>\n",
|
||
" <th>type</th>\n",
|
||
" <th>first_seen</th>\n",
|
||
" <th>first_lat</th>\n",
|
||
" <th>first_lon</th>\n",
|
||
" <th>first_alt</th>\n",
|
||
" <th>first_airspeed</th>\n",
|
||
" <th>last_seen</th>\n",
|
||
" <th>last_lat</th>\n",
|
||
" <th>last_lon</th>\n",
|
||
" <th>last_alt</th>\n",
|
||
" <th>last_airspeed</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>3c66e9</td>\n",
|
||
" <td>D-AIWI</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732076e+09</td>\n",
|
||
" <td>59.41232</td>\n",
|
||
" <td>24.88147</td>\n",
|
||
" <td>2900.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732141e+09</td>\n",
|
||
" <td>45.43005</td>\n",
|
||
" <td>9.27869</td>\n",
|
||
" <td>675.0</td>\n",
|
||
" <td>145.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9e9</td>\n",
|
||
" <td>SE-ROI</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>69.75667</td>\n",
|
||
" <td>19.10002</td>\n",
|
||
" <td>2000.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732145e+09</td>\n",
|
||
" <td>60.17564</td>\n",
|
||
" <td>11.06835</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4676f7</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732127e+09</td>\n",
|
||
" <td>60.31137</td>\n",
|
||
" <td>24.98058</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>60.31483</td>\n",
|
||
" <td>24.97566</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>151df7</td>\n",
|
||
" <td>RA-73207</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732106e+09</td>\n",
|
||
" <td>59.80501</td>\n",
|
||
" <td>30.27747</td>\n",
|
||
" <td>825.0</td>\n",
|
||
" <td>176.0</td>\n",
|
||
" <td>1.732143e+09</td>\n",
|
||
" <td>57.83327</td>\n",
|
||
" <td>57.56969</td>\n",
|
||
" <td>33000.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4601f7</td>\n",
|
||
" <td>OH-ATJ</td>\n",
|
||
" <td>AT75</td>\n",
|
||
" <td>1.732073e+09</td>\n",
|
||
" <td>65.16962</td>\n",
|
||
" <td>24.71671</td>\n",
|
||
" <td>20025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732105e+09</td>\n",
|
||
" <td>60.31817</td>\n",
|
||
" <td>24.95907</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>714</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>502d23</td>\n",
|
||
" <td>YL-AAU</td>\n",
|
||
" <td>BCS3</td>\n",
|
||
" <td>1.732081e+09</td>\n",
|
||
" <td>56.91295</td>\n",
|
||
" <td>23.96916</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732127e+09</td>\n",
|
||
" <td>59.41589</td>\n",
|
||
" <td>24.51334</td>\n",
|
||
" <td>3775.0</td>\n",
|
||
" <td>177.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>715</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>7804a7</td>\n",
|
||
" <td>B-2003</td>\n",
|
||
" <td>B77W</td>\n",
|
||
" <td>1.732071e+09</td>\n",
|
||
" <td>57.92784</td>\n",
|
||
" <td>22.00322</td>\n",
|
||
" <td>34000.0</td>\n",
|
||
" <td>290.0</td>\n",
|
||
" <td>1.732113e+09</td>\n",
|
||
" <td>59.67145</td>\n",
|
||
" <td>24.36597</td>\n",
|
||
" <td>33000.0</td>\n",
|
||
" <td>296.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>716</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>461fa7</td>\n",
|
||
" <td>OH-LZR</td>\n",
|
||
" <td>A321</td>\n",
|
||
" <td>1.732097e+09</td>\n",
|
||
" <td>60.31818</td>\n",
|
||
" <td>24.96199</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732142e+09</td>\n",
|
||
" <td>60.31848</td>\n",
|
||
" <td>24.96454</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>717</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>479d40</td>\n",
|
||
" <td>LN-NHG</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>58.79929</td>\n",
|
||
" <td>5.78522</td>\n",
|
||
" <td>9500.0</td>\n",
|
||
" <td>249.0</td>\n",
|
||
" <td>1.732134e+09</td>\n",
|
||
" <td>58.90100</td>\n",
|
||
" <td>5.47760</td>\n",
|
||
" <td>1875.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>718</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4d2240</td>\n",
|
||
" <td>9H-QBJ</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>45.67152</td>\n",
|
||
" <td>9.68685</td>\n",
|
||
" <td>1775.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732125e+09</td>\n",
|
||
" <td>59.61610</td>\n",
|
||
" <td>17.94693</td>\n",
|
||
" <td>1250.0</td>\n",
|
||
" <td>149.0</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>719 rows × 14 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" file icao reg \\\n",
|
||
"0 /home/lars/Documents/Studium/UiO/data_analysis... 3c66e9 D-AIWI \n",
|
||
"1 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9e9 SE-ROI \n",
|
||
"2 /home/lars/Documents/Studium/UiO/data_analysis... 4676f7 NaN \n",
|
||
"3 /home/lars/Documents/Studium/UiO/data_analysis... 151df7 RA-73207 \n",
|
||
"4 /home/lars/Documents/Studium/UiO/data_analysis... 4601f7 OH-ATJ \n",
|
||
".. ... ... ... \n",
|
||
"714 /home/lars/Documents/Studium/UiO/data_analysis... 502d23 YL-AAU \n",
|
||
"715 /home/lars/Documents/Studium/UiO/data_analysis... 7804a7 B-2003 \n",
|
||
"716 /home/lars/Documents/Studium/UiO/data_analysis... 461fa7 OH-LZR \n",
|
||
"717 /home/lars/Documents/Studium/UiO/data_analysis... 479d40 LN-NHG \n",
|
||
"718 /home/lars/Documents/Studium/UiO/data_analysis... 4d2240 9H-QBJ \n",
|
||
"\n",
|
||
" type first_seen first_lat first_lon first_alt first_airspeed \\\n",
|
||
"0 A320 1.732076e+09 59.41232 24.88147 2900.0 NaN \n",
|
||
"1 A20N 1.732086e+09 69.75667 19.10002 2000.0 NaN \n",
|
||
"2 NaN 1.732127e+09 60.31137 24.98058 0.0 NaN \n",
|
||
"3 A320 1.732106e+09 59.80501 30.27747 825.0 176.0 \n",
|
||
"4 AT75 1.732073e+09 65.16962 24.71671 20025.0 NaN \n",
|
||
".. ... ... ... ... ... ... \n",
|
||
"714 BCS3 1.732081e+09 56.91295 23.96916 1450.0 NaN \n",
|
||
"715 B77W 1.732071e+09 57.92784 22.00322 34000.0 290.0 \n",
|
||
"716 A321 1.732097e+09 60.31818 24.96199 0.0 NaN \n",
|
||
"717 B738 1.732082e+09 58.79929 5.78522 9500.0 249.0 \n",
|
||
"718 B738 1.732084e+09 45.67152 9.68685 1775.0 NaN \n",
|
||
"\n",
|
||
" last_seen last_lat last_lon last_alt last_airspeed \n",
|
||
"0 1.732141e+09 45.43005 9.27869 675.0 145.0 \n",
|
||
"1 1.732145e+09 60.17564 11.06835 1475.0 129.0 \n",
|
||
"2 1.732133e+09 60.31483 24.97566 0.0 NaN \n",
|
||
"3 1.732143e+09 57.83327 57.56969 33000.0 NaN \n",
|
||
"4 1.732105e+09 60.31817 24.95907 0.0 NaN \n",
|
||
".. ... ... ... ... ... \n",
|
||
"714 1.732127e+09 59.41589 24.51334 3775.0 177.0 \n",
|
||
"715 1.732113e+09 59.67145 24.36597 33000.0 296.0 \n",
|
||
"716 1.732142e+09 60.31848 24.96454 0.0 NaN \n",
|
||
"717 1.732134e+09 58.90100 5.47760 1875.0 NaN \n",
|
||
"718 1.732125e+09 59.61610 17.94693 1250.0 149.0 \n",
|
||
"\n",
|
||
"[719 rows x 14 columns]"
|
||
]
|
||
},
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 52,
|
||
"id": "3f78bfd6",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"OSLO_GARDERMOEN_AIRPORT = (11.0859718, 60.1902228)\n",
|
||
"BERGEN_FLESLAND_AIRPORT = (5.2201954, 60.293512)\n",
|
||
"STAVANGER_SOLA_AIRPORT = (5.667972, 58.876667)\n",
|
||
"UMEA_AIRPORT = (20.2840218, 63.7906151)\n",
|
||
"GOTHENBURG_LANDVETTER_AIRPORT = (12.2850909, 57.669275)\n",
|
||
"STOCKHOLM_ARLANDA_AIRPORT = (17.9185743, 59.6519444)\n",
|
||
"TRONDHEIM_VAERNES_AIRPORT = (10.9110182, 63.4577224)\n",
|
||
"TROMSO_LANGNES_AIRPORT = (18.910825, 69.683911)\n",
|
||
"\n",
|
||
"known_airports = [\n",
|
||
" OSLO_GARDERMOEN_AIRPORT,\n",
|
||
" BERGEN_FLESLAND_AIRPORT,\n",
|
||
" STAVANGER_SOLA_AIRPORT,\n",
|
||
" UMEA_AIRPORT,\n",
|
||
" GOTHENBURG_LANDVETTER_AIRPORT,\n",
|
||
" STOCKHOLM_ARLANDA_AIRPORT,\n",
|
||
" TRONDHEIM_VAERNES_AIRPORT,\n",
|
||
" TROMSO_LANGNES_AIRPORT,\n",
|
||
"]\n",
|
||
"\n",
|
||
"from matplotlib import cm, colors\n",
|
||
"cax = cm.ScalarMappable(cmap='viridis', norm=colors.Normalize(vmin=df[\"first_alt\"].min(), vmax=df[\"first_alt\"].max()))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 57,
|
||
"id": "4fab274f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0.5, 1.0, 'Flight Positions Over Norway')"
|
||
]
|
||
},
|
||
"execution_count": 57,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1000x1200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"\n",
|
||
"fig, ax = plt.subplots(figsize=(10, 12))\n",
|
||
"\n",
|
||
"# Basemap region tuned roughly to Norway\n",
|
||
"m = Basemap(\n",
|
||
" llcrnrlon=3, llcrnrlat=58,\n",
|
||
" urcrnrlon=32, urcrnrlat=72,\n",
|
||
" projection=\"lcc\",\n",
|
||
" lat_1=60, lat_2=70,\n",
|
||
" lon_0=15,\n",
|
||
" resolution=\"i\",\n",
|
||
" area_thresh=1000,\n",
|
||
" ax=ax\n",
|
||
")\n",
|
||
"\n",
|
||
"#m.drawcoastlines()\n",
|
||
"#m.drawcountries()\n",
|
||
"m.drawmapboundary(fill_color=\"#99ffff\")\n",
|
||
"m.fillcontinents(color=\"#ddaaaa\", lake_color=\"#99ffff\")\n",
|
||
"m.drawparallels(np.arange(58, 72, 2), labels=[1,0,0,0], linewidth=0.2)\n",
|
||
"m.drawmeridians(np.arange(4, 32, 4), labels=[0,0,0,1], linewidth=0.2)\n",
|
||
"\n",
|
||
"# Transform coordinates\n",
|
||
"x1, y1 = m(df[\"first_lon\"].values, df[\"first_lat\"].values)\n",
|
||
"x2, y2 = m(df[\"last_lon\"].values, df[\"last_lat\"].values)\n",
|
||
"\n",
|
||
"# Scatter: first + last positions\n",
|
||
"plt.scatter(x1, y1, s=20, c=df[\"first_alt\"], marker=\".\", label=\"First Position\", cmap=cax.cmap, norm=cax.norm)\n",
|
||
"plt.scatter(x2, y2, s=20, c=df[\"last_alt\"], marker=\"+\", label=\"Last Position\", cmap=cax.cmap, norm=cax.norm)\n",
|
||
"plt.plot([x1, x2], [y1, y2], c=\"gray\", linewidth=0.5, ls=\"--\", alpha=0.5)\n",
|
||
"\n",
|
||
"# Airports transformed\n",
|
||
"for airport in known_airports:\n",
|
||
" x, y = m(*airport)\n",
|
||
" plt.scatter(x, y, c=\"black\", s=50, marker=\"x\")\n",
|
||
"plt.legend()\n",
|
||
"\n",
|
||
"plt.colorbar(mappable=cax, cax=ax.inset_axes([1.02, 0.1, 0.03, 0.8]), label=\"Altitude (ft)\")\n",
|
||
"plt.title(\"Flight Positions Over Norway\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 50,
|
||
"id": "92a8e3f3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
|
||
"columns": [
|
||
{
|
||
"name": "index",
|
||
"rawType": "int64",
|
||
"type": "integer"
|
||
},
|
||
{
|
||
"name": "file",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "icao",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "reg",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "type",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "first_seen",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_lat",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_lon",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_alt",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_airspeed",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_seen",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_lat",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_lon",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_alt",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_airspeed",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
}
|
||
],
|
||
"ref": "8b8b6175-24fc-4c3f-812e-8bf1d95bb46c",
|
||
"rows": [
|
||
[
|
||
"1",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9e9.json.csv",
|
||
"4ac9e9",
|
||
"SE-ROI",
|
||
"A20N",
|
||
"1732085971.41",
|
||
"69.75667",
|
||
"19.10002",
|
||
"2000.0",
|
||
null,
|
||
"1732144931.89",
|
||
"60.17564",
|
||
"11.06835",
|
||
"1475.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"6",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4cad88.json.csv",
|
||
"4cad88",
|
||
"EI-SIU",
|
||
"A20N",
|
||
"1732079379.71",
|
||
"59.66258",
|
||
"17.96942",
|
||
"1025.0",
|
||
null,
|
||
"1732141856.24",
|
||
"59.6336",
|
||
"17.91188",
|
||
"1150.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"33",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a743.json.csv",
|
||
"47a743",
|
||
"LN-NGM",
|
||
"B738",
|
||
"1732088140.02",
|
||
"60.22984",
|
||
"11.09932",
|
||
"2375.0",
|
||
null,
|
||
"1732133273.27",
|
||
"60.16206",
|
||
"11.06019",
|
||
"1750.0",
|
||
"137.0"
|
||
],
|
||
[
|
||
"62",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9f2.json.csv",
|
||
"4ac9f2",
|
||
"SE-ROR",
|
||
"A20N",
|
||
"1732083098.17",
|
||
"59.66922",
|
||
"17.92484",
|
||
"1900.0",
|
||
null,
|
||
"1732139387.6",
|
||
"59.63421",
|
||
"17.91217",
|
||
"1150.0",
|
||
"137.0"
|
||
],
|
||
[
|
||
"85",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4cad94.json.csv",
|
||
"4cad94",
|
||
"EI-SCD",
|
||
"A20N",
|
||
"1732100480.77",
|
||
"59.65356",
|
||
"17.91916",
|
||
"1400.0",
|
||
null,
|
||
"1732136168.87",
|
||
"57.64549",
|
||
"12.26409",
|
||
"1200.0",
|
||
"133.0"
|
||
],
|
||
[
|
||
"88",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acab2.json.csv",
|
||
"4acab2",
|
||
"SE-RUR",
|
||
"A20N",
|
||
"1732105134.72",
|
||
"60.21812",
|
||
"11.09316",
|
||
"2475.0",
|
||
null,
|
||
"1732139442.71",
|
||
"60.16837",
|
||
"11.10348",
|
||
"1450.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"99",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45d066.json.csv",
|
||
"45d066",
|
||
"OY-TCF",
|
||
"A321",
|
||
"1732085991.64",
|
||
"60.20224",
|
||
"11.12328",
|
||
"1800.0",
|
||
"177.0",
|
||
"1732130986.38",
|
||
"60.17184",
|
||
"11.10557",
|
||
"1300.0",
|
||
"151.0"
|
||
],
|
||
[
|
||
"185",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4cacb4.json.csv",
|
||
"4cacb4",
|
||
"EI-SIA",
|
||
"A20N",
|
||
"1732085130.64",
|
||
"57.66491",
|
||
"12.28174",
|
||
"1425.0",
|
||
null,
|
||
"1732139177.87",
|
||
"59.63351",
|
||
"17.91188",
|
||
"1125.0",
|
||
"134.0"
|
||
],
|
||
[
|
||
"252",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4caf82.json.csv",
|
||
"4caf82",
|
||
"EI-SIF",
|
||
"A20N",
|
||
"1732081508.97",
|
||
"59.66228",
|
||
"17.92249",
|
||
"1425.0",
|
||
null,
|
||
"1732127861.61",
|
||
"59.62125",
|
||
"17.94882",
|
||
"1175.0",
|
||
"133.0"
|
||
],
|
||
[
|
||
"263",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45d064.json.csv",
|
||
"45d064",
|
||
"OY-TCD",
|
||
"A321",
|
||
"1732086681.59",
|
||
"59.66023",
|
||
"17.92145",
|
||
"1225.0",
|
||
null,
|
||
"1732129492.27",
|
||
"59.61903",
|
||
"17.94797",
|
||
"1200.0",
|
||
"150.0"
|
||
],
|
||
[
|
||
"270",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb58.json.csv",
|
||
"4acb58",
|
||
"SE-RZX",
|
||
"A20N",
|
||
"1732086892.73",
|
||
"60.20596",
|
||
"11.08579",
|
||
"1700.0",
|
||
null,
|
||
"1732132650.56",
|
||
"60.17395",
|
||
"11.1067",
|
||
"1300.0",
|
||
"127.0"
|
||
],
|
||
[
|
||
"294",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4d222b.json.csv",
|
||
"4d222b",
|
||
"9H-QEO",
|
||
"B738",
|
||
"1732080169.57",
|
||
"59.66263",
|
||
"17.97144",
|
||
"1250.0",
|
||
null,
|
||
"1732129988.12",
|
||
"59.62024",
|
||
"17.94855",
|
||
"1175.0",
|
||
"156.0"
|
||
],
|
||
[
|
||
"303",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_503d73.json.csv",
|
||
"503d73",
|
||
"LY-WSM",
|
||
"A320",
|
||
"1732086830.17",
|
||
"60.20238",
|
||
"11.12261",
|
||
"2025.0",
|
||
null,
|
||
"1732131257.0",
|
||
"60.16946",
|
||
"11.10415",
|
||
"1400.0",
|
||
"143.0"
|
||
],
|
||
[
|
||
"314",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4792a6.json.csv",
|
||
"4792a6",
|
||
"LN-NIM",
|
||
"B738",
|
||
"1732085185.13",
|
||
"58.86763",
|
||
"6.09703",
|
||
"14525.0",
|
||
null,
|
||
"1732130229.71",
|
||
"60.15084",
|
||
"11.09335",
|
||
"1775.0",
|
||
"139.0"
|
||
],
|
||
[
|
||
"315",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acaa6.json.csv",
|
||
"4acaa6",
|
||
"SE-RUF",
|
||
"A20N",
|
||
"1732086734.58",
|
||
"60.20869",
|
||
"11.08757",
|
||
"2100.0",
|
||
null,
|
||
"1732135363.38",
|
||
"58.91061",
|
||
"5.41434",
|
||
"2500.0",
|
||
"179.0"
|
||
],
|
||
[
|
||
"329",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ca765.json.csv",
|
||
"4ca765",
|
||
"EI-EFJ",
|
||
"B738",
|
||
"1732078555.83",
|
||
"57.65215",
|
||
"12.27013",
|
||
"1525.0",
|
||
"165.0",
|
||
"1732138922.25",
|
||
"57.63821",
|
||
"12.25748",
|
||
"1325.0",
|
||
null
|
||
],
|
||
[
|
||
"348",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9e3.json.csv",
|
||
"4ac9e3",
|
||
"SE-ROC",
|
||
"A20N",
|
||
"1732080058.86",
|
||
"59.6629",
|
||
"17.97098",
|
||
"1150.0",
|
||
null,
|
||
"1732134109.8",
|
||
"59.62116",
|
||
"17.94882",
|
||
"1200.0",
|
||
"135.0"
|
||
],
|
||
[
|
||
"385",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4cad91.json.csv",
|
||
"4cad91",
|
||
"EI-SCA",
|
||
"A20N",
|
||
"1732078946.74",
|
||
"59.66244",
|
||
"17.96805",
|
||
"1175.0",
|
||
"243.0",
|
||
"1732142380.22",
|
||
"63.64315",
|
||
"20.55542",
|
||
"4000.0",
|
||
null
|
||
],
|
||
[
|
||
"388",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45d96f.json.csv",
|
||
"45d96f",
|
||
"OY-VKO",
|
||
"A339",
|
||
"1732089559.85",
|
||
"59.67057",
|
||
"17.92524",
|
||
"2025.0",
|
||
null,
|
||
"1732136075.5",
|
||
"59.63262",
|
||
"17.9115",
|
||
"1150.0",
|
||
"140.0"
|
||
],
|
||
[
|
||
"390",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_503d6f.json.csv",
|
||
"503d6f",
|
||
"LY-HMD",
|
||
"A320",
|
||
"1732083419.16",
|
||
"60.2075",
|
||
"11.08687",
|
||
"1475.0",
|
||
"170.0",
|
||
"1732141447.81",
|
||
"60.16979",
|
||
"11.10433",
|
||
"1425.0",
|
||
"133.0"
|
||
],
|
||
[
|
||
"394",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca07.json.csv",
|
||
"4aca07",
|
||
"SE-RPG",
|
||
"B738",
|
||
"1732088366.44",
|
||
"60.2173",
|
||
"11.09231",
|
||
"1600.0",
|
||
null,
|
||
"1732142109.34",
|
||
"60.14796",
|
||
"11.09178",
|
||
"1875.0",
|
||
"149.0"
|
||
],
|
||
[
|
||
"411",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9f0.json.csv",
|
||
"4ac9f0",
|
||
"SE-ROP",
|
||
"A20N",
|
||
"1732085901.65",
|
||
"60.20737",
|
||
"11.08663",
|
||
"1450.0",
|
||
"152.0",
|
||
"1732131718.86",
|
||
"60.17305",
|
||
"11.1062",
|
||
"1325.0",
|
||
"128.0"
|
||
],
|
||
[
|
||
"420",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac52.json.csv",
|
||
"45ac52",
|
||
"OY-KBR",
|
||
"A319",
|
||
"1732091550.91",
|
||
"60.19656",
|
||
"11.11983",
|
||
"1700.0",
|
||
null,
|
||
"1732129933.53",
|
||
"60.17249",
|
||
"11.10585",
|
||
"1325.0",
|
||
"124.0"
|
||
],
|
||
[
|
||
"430",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac50.json.csv",
|
||
"45ac50",
|
||
"OY-KBP",
|
||
"A319",
|
||
"1732079669.37",
|
||
"69.6798",
|
||
"18.90899",
|
||
"0.0",
|
||
null,
|
||
"1732127787.42",
|
||
"69.6798",
|
||
"18.90899",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"454",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45d961.json.csv",
|
||
"45d961",
|
||
"OY-VKA",
|
||
"A21N",
|
||
"1732087331.93",
|
||
"57.65262",
|
||
"12.27049",
|
||
"1325.0",
|
||
null,
|
||
"1732129296.16",
|
||
"57.64384",
|
||
"12.26246",
|
||
"1250.0",
|
||
"139.0"
|
||
],
|
||
[
|
||
"463",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac33.json.csv",
|
||
"45ac33",
|
||
"OY-KAS",
|
||
"A320",
|
||
"1732108648.67",
|
||
"60.2082",
|
||
"11.08707",
|
||
"1475.0",
|
||
"163.0",
|
||
"1732116667.35",
|
||
"60.16452",
|
||
"11.0621",
|
||
"1650.0",
|
||
"136.0"
|
||
],
|
||
[
|
||
"470",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_3c65cd.json.csv",
|
||
"3c65cd",
|
||
"D-AINM",
|
||
"A20N",
|
||
"1732080355.59",
|
||
"59.66272",
|
||
"17.97061",
|
||
"1100.0",
|
||
null,
|
||
"1732143159.77",
|
||
"60.17324",
|
||
"11.10629",
|
||
"1350.0",
|
||
"137.0"
|
||
],
|
||
[
|
||
"478",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acab0.json.csv",
|
||
"4acab0",
|
||
"SE-RUP",
|
||
"A20N",
|
||
"1732086361.74",
|
||
"60.19926",
|
||
"11.12186",
|
||
"2025.0",
|
||
null,
|
||
"1732130383.51",
|
||
"60.17427",
|
||
"11.1068",
|
||
"1275.0",
|
||
"134.0"
|
||
],
|
||
[
|
||
"490",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4d240e.json.csv",
|
||
"4d240e",
|
||
"9H-EUW",
|
||
"A320",
|
||
"1732083524.38",
|
||
"59.67192",
|
||
"17.92538",
|
||
"2325.0",
|
||
null,
|
||
"1732138525.88",
|
||
"59.63328",
|
||
"17.91179",
|
||
"1150.0",
|
||
"128.0"
|
||
],
|
||
[
|
||
"529",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb04.json.csv",
|
||
"4acb04",
|
||
"SE-RXD",
|
||
"B738",
|
||
"1732082741.17",
|
||
"63.71457",
|
||
"20.43932",
|
||
"5325.0",
|
||
null,
|
||
"1732134999.72",
|
||
"59.6223",
|
||
"17.94919",
|
||
"1150.0",
|
||
null
|
||
],
|
||
[
|
||
"563",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca05.json.csv",
|
||
"4aca05",
|
||
"SE-RPE",
|
||
"B738",
|
||
"1732102533.23",
|
||
"60.22924",
|
||
"11.09972",
|
||
"2275.0",
|
||
"173.0",
|
||
"1732132491.85",
|
||
"60.16244",
|
||
"11.06058",
|
||
"1750.0",
|
||
"145.0"
|
||
],
|
||
[
|
||
"569",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a1ef.json.csv",
|
||
"47a1ef",
|
||
"LN-ENS",
|
||
"B738",
|
||
"1732094186.39",
|
||
"59.64427",
|
||
"17.95734",
|
||
"1100.0",
|
||
null,
|
||
"1732127977.15",
|
||
"59.62066",
|
||
"17.94872",
|
||
"1175.0",
|
||
"147.0"
|
||
],
|
||
[
|
||
"577",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4780bf.json.csv",
|
||
"4780bf",
|
||
"LN-RPJ",
|
||
"B737",
|
||
"1732087550.32",
|
||
"60.21672",
|
||
"11.09197",
|
||
"1550.0",
|
||
null,
|
||
"1732125139.28",
|
||
"60.15801",
|
||
"11.05813",
|
||
"1775.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"584",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb02.json.csv",
|
||
"4acb02",
|
||
"SE-RXB",
|
||
"B738",
|
||
"1732083289.38",
|
||
"59.65993",
|
||
"17.92145",
|
||
"1250.0",
|
||
null,
|
||
"1732125696.47",
|
||
"63.60172",
|
||
"20.52059",
|
||
"4875.0",
|
||
null
|
||
],
|
||
[
|
||
"664",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb5a.json.csv",
|
||
"4acb5a",
|
||
"SE-RZZ",
|
||
"A20N",
|
||
"1732086263.82",
|
||
"60.20526",
|
||
"11.08549",
|
||
"1825.0",
|
||
"154.0",
|
||
"1732127169.11",
|
||
"60.17574",
|
||
"11.06835",
|
||
"1425.0",
|
||
"126.0"
|
||
],
|
||
[
|
||
"668",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a039.json.csv",
|
||
"47a039",
|
||
"LN-NHA",
|
||
"B738",
|
||
"1732091762.9",
|
||
"60.21744",
|
||
"11.09269",
|
||
"2150.0",
|
||
null,
|
||
"1732135005.43",
|
||
"69.67842",
|
||
"18.91054",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"669",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac39.json.csv",
|
||
"45ac39",
|
||
"OY-KAY",
|
||
"A320",
|
||
"1732081669.3",
|
||
"58.86116",
|
||
"5.63779",
|
||
"1900.0",
|
||
"157.0",
|
||
"1732117977.52",
|
||
"60.162",
|
||
"11.06049",
|
||
"1700.0",
|
||
"132.0"
|
||
],
|
||
[
|
||
"677",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a218.json.csv",
|
||
"47a218",
|
||
"LN-ENR",
|
||
"B738",
|
||
"1732083924.45",
|
||
"69.67859",
|
||
"18.90843",
|
||
"100.0",
|
||
null,
|
||
"1732140693.85",
|
||
"69.67898",
|
||
"18.90867",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"694",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4cad93.json.csv",
|
||
"4cad93",
|
||
"EI-SCC",
|
||
"A20N",
|
||
"1732083384.75",
|
||
"59.65232",
|
||
"17.9187",
|
||
"1075.0",
|
||
null,
|
||
"1732132517.94",
|
||
"59.62116",
|
||
"17.94891",
|
||
"1200.0",
|
||
"127.0"
|
||
],
|
||
[
|
||
"711",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9e6.json.csv",
|
||
"4ac9e6",
|
||
"SE-ROF",
|
||
"A20N",
|
||
"1732087093.79",
|
||
"59.6635",
|
||
"17.92273",
|
||
"1525.0",
|
||
null,
|
||
"1732120260.55",
|
||
"59.61894",
|
||
"17.94806",
|
||
"1175.0",
|
||
"277.0"
|
||
],
|
||
[
|
||
"717",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_479d40.json.csv",
|
||
"479d40",
|
||
"LN-NHG",
|
||
"B738",
|
||
"1732082488.35",
|
||
"58.79929",
|
||
"5.78522",
|
||
"9500.0",
|
||
"249.0",
|
||
"1732133643.49",
|
||
"58.901",
|
||
"5.4776",
|
||
"1875.0",
|
||
null
|
||
]
|
||
],
|
||
"shape": {
|
||
"columns": 14,
|
||
"rows": 41
|
||
}
|
||
},
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>file</th>\n",
|
||
" <th>icao</th>\n",
|
||
" <th>reg</th>\n",
|
||
" <th>type</th>\n",
|
||
" <th>first_seen</th>\n",
|
||
" <th>first_lat</th>\n",
|
||
" <th>first_lon</th>\n",
|
||
" <th>first_alt</th>\n",
|
||
" <th>first_airspeed</th>\n",
|
||
" <th>last_seen</th>\n",
|
||
" <th>last_lat</th>\n",
|
||
" <th>last_lon</th>\n",
|
||
" <th>last_alt</th>\n",
|
||
" <th>last_airspeed</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9e9</td>\n",
|
||
" <td>SE-ROI</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>69.75667</td>\n",
|
||
" <td>19.10002</td>\n",
|
||
" <td>2000.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732145e+09</td>\n",
|
||
" <td>60.17564</td>\n",
|
||
" <td>11.06835</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4cad88</td>\n",
|
||
" <td>EI-SIU</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732079e+09</td>\n",
|
||
" <td>59.66258</td>\n",
|
||
" <td>17.96942</td>\n",
|
||
" <td>1025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732142e+09</td>\n",
|
||
" <td>59.63360</td>\n",
|
||
" <td>17.91188</td>\n",
|
||
" <td>1150.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>33</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a743</td>\n",
|
||
" <td>LN-NGM</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.22984</td>\n",
|
||
" <td>11.09932</td>\n",
|
||
" <td>2375.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>60.16206</td>\n",
|
||
" <td>11.06019</td>\n",
|
||
" <td>1750.0</td>\n",
|
||
" <td>137.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>62</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9f2</td>\n",
|
||
" <td>SE-ROR</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>59.66922</td>\n",
|
||
" <td>17.92484</td>\n",
|
||
" <td>1900.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732139e+09</td>\n",
|
||
" <td>59.63421</td>\n",
|
||
" <td>17.91217</td>\n",
|
||
" <td>1150.0</td>\n",
|
||
" <td>137.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>85</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4cad94</td>\n",
|
||
" <td>EI-SCD</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732100e+09</td>\n",
|
||
" <td>59.65356</td>\n",
|
||
" <td>17.91916</td>\n",
|
||
" <td>1400.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732136e+09</td>\n",
|
||
" <td>57.64549</td>\n",
|
||
" <td>12.26409</td>\n",
|
||
" <td>1200.0</td>\n",
|
||
" <td>133.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>88</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acab2</td>\n",
|
||
" <td>SE-RUR</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732105e+09</td>\n",
|
||
" <td>60.21812</td>\n",
|
||
" <td>11.09316</td>\n",
|
||
" <td>2475.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732139e+09</td>\n",
|
||
" <td>60.16837</td>\n",
|
||
" <td>11.10348</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45d066</td>\n",
|
||
" <td>OY-TCF</td>\n",
|
||
" <td>A321</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.20224</td>\n",
|
||
" <td>11.12328</td>\n",
|
||
" <td>1800.0</td>\n",
|
||
" <td>177.0</td>\n",
|
||
" <td>1.732131e+09</td>\n",
|
||
" <td>60.17184</td>\n",
|
||
" <td>11.10557</td>\n",
|
||
" <td>1300.0</td>\n",
|
||
" <td>151.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>185</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4cacb4</td>\n",
|
||
" <td>EI-SIA</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732085e+09</td>\n",
|
||
" <td>57.66491</td>\n",
|
||
" <td>12.28174</td>\n",
|
||
" <td>1425.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732139e+09</td>\n",
|
||
" <td>59.63351</td>\n",
|
||
" <td>17.91188</td>\n",
|
||
" <td>1125.0</td>\n",
|
||
" <td>134.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>252</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4caf82</td>\n",
|
||
" <td>EI-SIF</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>59.66228</td>\n",
|
||
" <td>17.92249</td>\n",
|
||
" <td>1425.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732128e+09</td>\n",
|
||
" <td>59.62125</td>\n",
|
||
" <td>17.94882</td>\n",
|
||
" <td>1175.0</td>\n",
|
||
" <td>133.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>263</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45d064</td>\n",
|
||
" <td>OY-TCD</td>\n",
|
||
" <td>A321</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>59.66023</td>\n",
|
||
" <td>17.92145</td>\n",
|
||
" <td>1225.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732129e+09</td>\n",
|
||
" <td>59.61903</td>\n",
|
||
" <td>17.94797</td>\n",
|
||
" <td>1200.0</td>\n",
|
||
" <td>150.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>270</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb58</td>\n",
|
||
" <td>SE-RZX</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>60.20596</td>\n",
|
||
" <td>11.08579</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>60.17395</td>\n",
|
||
" <td>11.10670</td>\n",
|
||
" <td>1300.0</td>\n",
|
||
" <td>127.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>294</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4d222b</td>\n",
|
||
" <td>9H-QEO</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732080e+09</td>\n",
|
||
" <td>59.66263</td>\n",
|
||
" <td>17.97144</td>\n",
|
||
" <td>1250.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>59.62024</td>\n",
|
||
" <td>17.94855</td>\n",
|
||
" <td>1175.0</td>\n",
|
||
" <td>156.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>303</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>503d73</td>\n",
|
||
" <td>LY-WSM</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>60.20238</td>\n",
|
||
" <td>11.12261</td>\n",
|
||
" <td>2025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732131e+09</td>\n",
|
||
" <td>60.16946</td>\n",
|
||
" <td>11.10415</td>\n",
|
||
" <td>1400.0</td>\n",
|
||
" <td>143.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>314</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4792a6</td>\n",
|
||
" <td>LN-NIM</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732085e+09</td>\n",
|
||
" <td>58.86763</td>\n",
|
||
" <td>6.09703</td>\n",
|
||
" <td>14525.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.15084</td>\n",
|
||
" <td>11.09335</td>\n",
|
||
" <td>1775.0</td>\n",
|
||
" <td>139.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>315</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acaa6</td>\n",
|
||
" <td>SE-RUF</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>60.20869</td>\n",
|
||
" <td>11.08757</td>\n",
|
||
" <td>2100.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732135e+09</td>\n",
|
||
" <td>58.91061</td>\n",
|
||
" <td>5.41434</td>\n",
|
||
" <td>2500.0</td>\n",
|
||
" <td>179.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>329</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ca765</td>\n",
|
||
" <td>EI-EFJ</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732079e+09</td>\n",
|
||
" <td>57.65215</td>\n",
|
||
" <td>12.27013</td>\n",
|
||
" <td>1525.0</td>\n",
|
||
" <td>165.0</td>\n",
|
||
" <td>1.732139e+09</td>\n",
|
||
" <td>57.63821</td>\n",
|
||
" <td>12.25748</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>348</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9e3</td>\n",
|
||
" <td>SE-ROC</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732080e+09</td>\n",
|
||
" <td>59.66290</td>\n",
|
||
" <td>17.97098</td>\n",
|
||
" <td>1150.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732134e+09</td>\n",
|
||
" <td>59.62116</td>\n",
|
||
" <td>17.94882</td>\n",
|
||
" <td>1200.0</td>\n",
|
||
" <td>135.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>385</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4cad91</td>\n",
|
||
" <td>EI-SCA</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732079e+09</td>\n",
|
||
" <td>59.66244</td>\n",
|
||
" <td>17.96805</td>\n",
|
||
" <td>1175.0</td>\n",
|
||
" <td>243.0</td>\n",
|
||
" <td>1.732142e+09</td>\n",
|
||
" <td>63.64315</td>\n",
|
||
" <td>20.55542</td>\n",
|
||
" <td>4000.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>388</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45d96f</td>\n",
|
||
" <td>OY-VKO</td>\n",
|
||
" <td>A339</td>\n",
|
||
" <td>1.732090e+09</td>\n",
|
||
" <td>59.67057</td>\n",
|
||
" <td>17.92524</td>\n",
|
||
" <td>2025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732136e+09</td>\n",
|
||
" <td>59.63262</td>\n",
|
||
" <td>17.91150</td>\n",
|
||
" <td>1150.0</td>\n",
|
||
" <td>140.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>390</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>503d6f</td>\n",
|
||
" <td>LY-HMD</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>60.20750</td>\n",
|
||
" <td>11.08687</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>170.0</td>\n",
|
||
" <td>1.732141e+09</td>\n",
|
||
" <td>60.16979</td>\n",
|
||
" <td>11.10433</td>\n",
|
||
" <td>1425.0</td>\n",
|
||
" <td>133.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>394</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca07</td>\n",
|
||
" <td>SE-RPG</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.21730</td>\n",
|
||
" <td>11.09231</td>\n",
|
||
" <td>1600.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732142e+09</td>\n",
|
||
" <td>60.14796</td>\n",
|
||
" <td>11.09178</td>\n",
|
||
" <td>1875.0</td>\n",
|
||
" <td>149.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>411</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9f0</td>\n",
|
||
" <td>SE-ROP</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.20737</td>\n",
|
||
" <td>11.08663</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>152.0</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>60.17305</td>\n",
|
||
" <td>11.10620</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>128.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>420</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac52</td>\n",
|
||
" <td>OY-KBR</td>\n",
|
||
" <td>A319</td>\n",
|
||
" <td>1.732092e+09</td>\n",
|
||
" <td>60.19656</td>\n",
|
||
" <td>11.11983</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.17249</td>\n",
|
||
" <td>11.10585</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>124.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>430</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac50</td>\n",
|
||
" <td>OY-KBP</td>\n",
|
||
" <td>A319</td>\n",
|
||
" <td>1.732080e+09</td>\n",
|
||
" <td>69.67980</td>\n",
|
||
" <td>18.90899</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732128e+09</td>\n",
|
||
" <td>69.67980</td>\n",
|
||
" <td>18.90899</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>454</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45d961</td>\n",
|
||
" <td>OY-VKA</td>\n",
|
||
" <td>A21N</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>57.65262</td>\n",
|
||
" <td>12.27049</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732129e+09</td>\n",
|
||
" <td>57.64384</td>\n",
|
||
" <td>12.26246</td>\n",
|
||
" <td>1250.0</td>\n",
|
||
" <td>139.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>463</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac33</td>\n",
|
||
" <td>OY-KAS</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732109e+09</td>\n",
|
||
" <td>60.20820</td>\n",
|
||
" <td>11.08707</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>163.0</td>\n",
|
||
" <td>1.732117e+09</td>\n",
|
||
" <td>60.16452</td>\n",
|
||
" <td>11.06210</td>\n",
|
||
" <td>1650.0</td>\n",
|
||
" <td>136.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>470</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>3c65cd</td>\n",
|
||
" <td>D-AINM</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732080e+09</td>\n",
|
||
" <td>59.66272</td>\n",
|
||
" <td>17.97061</td>\n",
|
||
" <td>1100.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732143e+09</td>\n",
|
||
" <td>60.17324</td>\n",
|
||
" <td>11.10629</td>\n",
|
||
" <td>1350.0</td>\n",
|
||
" <td>137.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>478</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acab0</td>\n",
|
||
" <td>SE-RUP</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.19926</td>\n",
|
||
" <td>11.12186</td>\n",
|
||
" <td>2025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.17427</td>\n",
|
||
" <td>11.10680</td>\n",
|
||
" <td>1275.0</td>\n",
|
||
" <td>134.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>490</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4d240e</td>\n",
|
||
" <td>9H-EUW</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>59.67192</td>\n",
|
||
" <td>17.92538</td>\n",
|
||
" <td>2325.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732139e+09</td>\n",
|
||
" <td>59.63328</td>\n",
|
||
" <td>17.91179</td>\n",
|
||
" <td>1150.0</td>\n",
|
||
" <td>128.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>529</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb04</td>\n",
|
||
" <td>SE-RXD</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>63.71457</td>\n",
|
||
" <td>20.43932</td>\n",
|
||
" <td>5325.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732135e+09</td>\n",
|
||
" <td>59.62230</td>\n",
|
||
" <td>17.94919</td>\n",
|
||
" <td>1150.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>563</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca05</td>\n",
|
||
" <td>SE-RPE</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732103e+09</td>\n",
|
||
" <td>60.22924</td>\n",
|
||
" <td>11.09972</td>\n",
|
||
" <td>2275.0</td>\n",
|
||
" <td>173.0</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>60.16244</td>\n",
|
||
" <td>11.06058</td>\n",
|
||
" <td>1750.0</td>\n",
|
||
" <td>145.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>569</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a1ef</td>\n",
|
||
" <td>LN-ENS</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732094e+09</td>\n",
|
||
" <td>59.64427</td>\n",
|
||
" <td>17.95734</td>\n",
|
||
" <td>1100.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732128e+09</td>\n",
|
||
" <td>59.62066</td>\n",
|
||
" <td>17.94872</td>\n",
|
||
" <td>1175.0</td>\n",
|
||
" <td>147.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>577</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4780bf</td>\n",
|
||
" <td>LN-RPJ</td>\n",
|
||
" <td>B737</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.21672</td>\n",
|
||
" <td>11.09197</td>\n",
|
||
" <td>1550.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732125e+09</td>\n",
|
||
" <td>60.15801</td>\n",
|
||
" <td>11.05813</td>\n",
|
||
" <td>1775.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>584</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb02</td>\n",
|
||
" <td>SE-RXB</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>59.65993</td>\n",
|
||
" <td>17.92145</td>\n",
|
||
" <td>1250.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732126e+09</td>\n",
|
||
" <td>63.60172</td>\n",
|
||
" <td>20.52059</td>\n",
|
||
" <td>4875.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>664</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb5a</td>\n",
|
||
" <td>SE-RZZ</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.20526</td>\n",
|
||
" <td>11.08549</td>\n",
|
||
" <td>1825.0</td>\n",
|
||
" <td>154.0</td>\n",
|
||
" <td>1.732127e+09</td>\n",
|
||
" <td>60.17574</td>\n",
|
||
" <td>11.06835</td>\n",
|
||
" <td>1425.0</td>\n",
|
||
" <td>126.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>668</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a039</td>\n",
|
||
" <td>LN-NHA</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732092e+09</td>\n",
|
||
" <td>60.21744</td>\n",
|
||
" <td>11.09269</td>\n",
|
||
" <td>2150.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732135e+09</td>\n",
|
||
" <td>69.67842</td>\n",
|
||
" <td>18.91054</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>669</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac39</td>\n",
|
||
" <td>OY-KAY</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>58.86116</td>\n",
|
||
" <td>5.63779</td>\n",
|
||
" <td>1900.0</td>\n",
|
||
" <td>157.0</td>\n",
|
||
" <td>1.732118e+09</td>\n",
|
||
" <td>60.16200</td>\n",
|
||
" <td>11.06049</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>132.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>677</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a218</td>\n",
|
||
" <td>LN-ENR</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>69.67859</td>\n",
|
||
" <td>18.90843</td>\n",
|
||
" <td>100.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732141e+09</td>\n",
|
||
" <td>69.67898</td>\n",
|
||
" <td>18.90867</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>694</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4cad93</td>\n",
|
||
" <td>EI-SCC</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>59.65232</td>\n",
|
||
" <td>17.91870</td>\n",
|
||
" <td>1075.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>59.62116</td>\n",
|
||
" <td>17.94891</td>\n",
|
||
" <td>1200.0</td>\n",
|
||
" <td>127.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>711</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9e6</td>\n",
|
||
" <td>SE-ROF</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>59.66350</td>\n",
|
||
" <td>17.92273</td>\n",
|
||
" <td>1525.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732120e+09</td>\n",
|
||
" <td>59.61894</td>\n",
|
||
" <td>17.94806</td>\n",
|
||
" <td>1175.0</td>\n",
|
||
" <td>277.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>717</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>479d40</td>\n",
|
||
" <td>LN-NHG</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>58.79929</td>\n",
|
||
" <td>5.78522</td>\n",
|
||
" <td>9500.0</td>\n",
|
||
" <td>249.0</td>\n",
|
||
" <td>1.732134e+09</td>\n",
|
||
" <td>58.90100</td>\n",
|
||
" <td>5.47760</td>\n",
|
||
" <td>1875.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" file icao reg type \\\n",
|
||
"1 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9e9 SE-ROI A20N \n",
|
||
"6 /home/lars/Documents/Studium/UiO/data_analysis... 4cad88 EI-SIU A20N \n",
|
||
"33 /home/lars/Documents/Studium/UiO/data_analysis... 47a743 LN-NGM B738 \n",
|
||
"62 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9f2 SE-ROR A20N \n",
|
||
"85 /home/lars/Documents/Studium/UiO/data_analysis... 4cad94 EI-SCD A20N \n",
|
||
"88 /home/lars/Documents/Studium/UiO/data_analysis... 4acab2 SE-RUR A20N \n",
|
||
"99 /home/lars/Documents/Studium/UiO/data_analysis... 45d066 OY-TCF A321 \n",
|
||
"185 /home/lars/Documents/Studium/UiO/data_analysis... 4cacb4 EI-SIA A20N \n",
|
||
"252 /home/lars/Documents/Studium/UiO/data_analysis... 4caf82 EI-SIF A20N \n",
|
||
"263 /home/lars/Documents/Studium/UiO/data_analysis... 45d064 OY-TCD A321 \n",
|
||
"270 /home/lars/Documents/Studium/UiO/data_analysis... 4acb58 SE-RZX A20N \n",
|
||
"294 /home/lars/Documents/Studium/UiO/data_analysis... 4d222b 9H-QEO B738 \n",
|
||
"303 /home/lars/Documents/Studium/UiO/data_analysis... 503d73 LY-WSM A320 \n",
|
||
"314 /home/lars/Documents/Studium/UiO/data_analysis... 4792a6 LN-NIM B738 \n",
|
||
"315 /home/lars/Documents/Studium/UiO/data_analysis... 4acaa6 SE-RUF A20N \n",
|
||
"329 /home/lars/Documents/Studium/UiO/data_analysis... 4ca765 EI-EFJ B738 \n",
|
||
"348 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9e3 SE-ROC A20N \n",
|
||
"385 /home/lars/Documents/Studium/UiO/data_analysis... 4cad91 EI-SCA A20N \n",
|
||
"388 /home/lars/Documents/Studium/UiO/data_analysis... 45d96f OY-VKO A339 \n",
|
||
"390 /home/lars/Documents/Studium/UiO/data_analysis... 503d6f LY-HMD A320 \n",
|
||
"394 /home/lars/Documents/Studium/UiO/data_analysis... 4aca07 SE-RPG B738 \n",
|
||
"411 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9f0 SE-ROP A20N \n",
|
||
"420 /home/lars/Documents/Studium/UiO/data_analysis... 45ac52 OY-KBR A319 \n",
|
||
"430 /home/lars/Documents/Studium/UiO/data_analysis... 45ac50 OY-KBP A319 \n",
|
||
"454 /home/lars/Documents/Studium/UiO/data_analysis... 45d961 OY-VKA A21N \n",
|
||
"463 /home/lars/Documents/Studium/UiO/data_analysis... 45ac33 OY-KAS A320 \n",
|
||
"470 /home/lars/Documents/Studium/UiO/data_analysis... 3c65cd D-AINM A20N \n",
|
||
"478 /home/lars/Documents/Studium/UiO/data_analysis... 4acab0 SE-RUP A20N \n",
|
||
"490 /home/lars/Documents/Studium/UiO/data_analysis... 4d240e 9H-EUW A320 \n",
|
||
"529 /home/lars/Documents/Studium/UiO/data_analysis... 4acb04 SE-RXD B738 \n",
|
||
"563 /home/lars/Documents/Studium/UiO/data_analysis... 4aca05 SE-RPE B738 \n",
|
||
"569 /home/lars/Documents/Studium/UiO/data_analysis... 47a1ef LN-ENS B738 \n",
|
||
"577 /home/lars/Documents/Studium/UiO/data_analysis... 4780bf LN-RPJ B737 \n",
|
||
"584 /home/lars/Documents/Studium/UiO/data_analysis... 4acb02 SE-RXB B738 \n",
|
||
"664 /home/lars/Documents/Studium/UiO/data_analysis... 4acb5a SE-RZZ A20N \n",
|
||
"668 /home/lars/Documents/Studium/UiO/data_analysis... 47a039 LN-NHA B738 \n",
|
||
"669 /home/lars/Documents/Studium/UiO/data_analysis... 45ac39 OY-KAY A320 \n",
|
||
"677 /home/lars/Documents/Studium/UiO/data_analysis... 47a218 LN-ENR B738 \n",
|
||
"694 /home/lars/Documents/Studium/UiO/data_analysis... 4cad93 EI-SCC A20N \n",
|
||
"711 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9e6 SE-ROF A20N \n",
|
||
"717 /home/lars/Documents/Studium/UiO/data_analysis... 479d40 LN-NHG B738 \n",
|
||
"\n",
|
||
" first_seen first_lat first_lon first_alt first_airspeed \\\n",
|
||
"1 1.732086e+09 69.75667 19.10002 2000.0 NaN \n",
|
||
"6 1.732079e+09 59.66258 17.96942 1025.0 NaN \n",
|
||
"33 1.732088e+09 60.22984 11.09932 2375.0 NaN \n",
|
||
"62 1.732083e+09 59.66922 17.92484 1900.0 NaN \n",
|
||
"85 1.732100e+09 59.65356 17.91916 1400.0 NaN \n",
|
||
"88 1.732105e+09 60.21812 11.09316 2475.0 NaN \n",
|
||
"99 1.732086e+09 60.20224 11.12328 1800.0 177.0 \n",
|
||
"185 1.732085e+09 57.66491 12.28174 1425.0 NaN \n",
|
||
"252 1.732082e+09 59.66228 17.92249 1425.0 NaN \n",
|
||
"263 1.732087e+09 59.66023 17.92145 1225.0 NaN \n",
|
||
"270 1.732087e+09 60.20596 11.08579 1700.0 NaN \n",
|
||
"294 1.732080e+09 59.66263 17.97144 1250.0 NaN \n",
|
||
"303 1.732087e+09 60.20238 11.12261 2025.0 NaN \n",
|
||
"314 1.732085e+09 58.86763 6.09703 14525.0 NaN \n",
|
||
"315 1.732087e+09 60.20869 11.08757 2100.0 NaN \n",
|
||
"329 1.732079e+09 57.65215 12.27013 1525.0 165.0 \n",
|
||
"348 1.732080e+09 59.66290 17.97098 1150.0 NaN \n",
|
||
"385 1.732079e+09 59.66244 17.96805 1175.0 243.0 \n",
|
||
"388 1.732090e+09 59.67057 17.92524 2025.0 NaN \n",
|
||
"390 1.732083e+09 60.20750 11.08687 1475.0 170.0 \n",
|
||
"394 1.732088e+09 60.21730 11.09231 1600.0 NaN \n",
|
||
"411 1.732086e+09 60.20737 11.08663 1450.0 152.0 \n",
|
||
"420 1.732092e+09 60.19656 11.11983 1700.0 NaN \n",
|
||
"430 1.732080e+09 69.67980 18.90899 0.0 NaN \n",
|
||
"454 1.732087e+09 57.65262 12.27049 1325.0 NaN \n",
|
||
"463 1.732109e+09 60.20820 11.08707 1475.0 163.0 \n",
|
||
"470 1.732080e+09 59.66272 17.97061 1100.0 NaN \n",
|
||
"478 1.732086e+09 60.19926 11.12186 2025.0 NaN \n",
|
||
"490 1.732084e+09 59.67192 17.92538 2325.0 NaN \n",
|
||
"529 1.732083e+09 63.71457 20.43932 5325.0 NaN \n",
|
||
"563 1.732103e+09 60.22924 11.09972 2275.0 173.0 \n",
|
||
"569 1.732094e+09 59.64427 17.95734 1100.0 NaN \n",
|
||
"577 1.732088e+09 60.21672 11.09197 1550.0 NaN \n",
|
||
"584 1.732083e+09 59.65993 17.92145 1250.0 NaN \n",
|
||
"664 1.732086e+09 60.20526 11.08549 1825.0 154.0 \n",
|
||
"668 1.732092e+09 60.21744 11.09269 2150.0 NaN \n",
|
||
"669 1.732082e+09 58.86116 5.63779 1900.0 157.0 \n",
|
||
"677 1.732084e+09 69.67859 18.90843 100.0 NaN \n",
|
||
"694 1.732083e+09 59.65232 17.91870 1075.0 NaN \n",
|
||
"711 1.732087e+09 59.66350 17.92273 1525.0 NaN \n",
|
||
"717 1.732082e+09 58.79929 5.78522 9500.0 249.0 \n",
|
||
"\n",
|
||
" last_seen last_lat last_lon last_alt last_airspeed \n",
|
||
"1 1.732145e+09 60.17564 11.06835 1475.0 129.0 \n",
|
||
"6 1.732142e+09 59.63360 17.91188 1150.0 129.0 \n",
|
||
"33 1.732133e+09 60.16206 11.06019 1750.0 137.0 \n",
|
||
"62 1.732139e+09 59.63421 17.91217 1150.0 137.0 \n",
|
||
"85 1.732136e+09 57.64549 12.26409 1200.0 133.0 \n",
|
||
"88 1.732139e+09 60.16837 11.10348 1450.0 129.0 \n",
|
||
"99 1.732131e+09 60.17184 11.10557 1300.0 151.0 \n",
|
||
"185 1.732139e+09 59.63351 17.91188 1125.0 134.0 \n",
|
||
"252 1.732128e+09 59.62125 17.94882 1175.0 133.0 \n",
|
||
"263 1.732129e+09 59.61903 17.94797 1200.0 150.0 \n",
|
||
"270 1.732133e+09 60.17395 11.10670 1300.0 127.0 \n",
|
||
"294 1.732130e+09 59.62024 17.94855 1175.0 156.0 \n",
|
||
"303 1.732131e+09 60.16946 11.10415 1400.0 143.0 \n",
|
||
"314 1.732130e+09 60.15084 11.09335 1775.0 139.0 \n",
|
||
"315 1.732135e+09 58.91061 5.41434 2500.0 179.0 \n",
|
||
"329 1.732139e+09 57.63821 12.25748 1325.0 NaN \n",
|
||
"348 1.732134e+09 59.62116 17.94882 1200.0 135.0 \n",
|
||
"385 1.732142e+09 63.64315 20.55542 4000.0 NaN \n",
|
||
"388 1.732136e+09 59.63262 17.91150 1150.0 140.0 \n",
|
||
"390 1.732141e+09 60.16979 11.10433 1425.0 133.0 \n",
|
||
"394 1.732142e+09 60.14796 11.09178 1875.0 149.0 \n",
|
||
"411 1.732132e+09 60.17305 11.10620 1325.0 128.0 \n",
|
||
"420 1.732130e+09 60.17249 11.10585 1325.0 124.0 \n",
|
||
"430 1.732128e+09 69.67980 18.90899 0.0 NaN \n",
|
||
"454 1.732129e+09 57.64384 12.26246 1250.0 139.0 \n",
|
||
"463 1.732117e+09 60.16452 11.06210 1650.0 136.0 \n",
|
||
"470 1.732143e+09 60.17324 11.10629 1350.0 137.0 \n",
|
||
"478 1.732130e+09 60.17427 11.10680 1275.0 134.0 \n",
|
||
"490 1.732139e+09 59.63328 17.91179 1150.0 128.0 \n",
|
||
"529 1.732135e+09 59.62230 17.94919 1150.0 NaN \n",
|
||
"563 1.732132e+09 60.16244 11.06058 1750.0 145.0 \n",
|
||
"569 1.732128e+09 59.62066 17.94872 1175.0 147.0 \n",
|
||
"577 1.732125e+09 60.15801 11.05813 1775.0 129.0 \n",
|
||
"584 1.732126e+09 63.60172 20.52059 4875.0 NaN \n",
|
||
"664 1.732127e+09 60.17574 11.06835 1425.0 126.0 \n",
|
||
"668 1.732135e+09 69.67842 18.91054 0.0 NaN \n",
|
||
"669 1.732118e+09 60.16200 11.06049 1700.0 132.0 \n",
|
||
"677 1.732141e+09 69.67898 18.90867 0.0 NaN \n",
|
||
"694 1.732133e+09 59.62116 17.94891 1200.0 127.0 \n",
|
||
"711 1.732120e+09 59.61894 17.94806 1175.0 277.0 \n",
|
||
"717 1.732134e+09 58.90100 5.47760 1875.0 NaN "
|
||
]
|
||
},
|
||
"execution_count": 50,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# All fligths from Oslo to Stavanger or opposite direction\n",
|
||
"\n",
|
||
"airport_delta = 0.5 # degrees\n",
|
||
"\n",
|
||
"def landed_at_airport(row, airport_coord, delta):\n",
|
||
" return ((row[\"last_lon\"] - airport_coord[0]).abs() < delta) & ((row[\"last_lat\"] - airport_coord[1]).abs() < delta)\n",
|
||
"\n",
|
||
"def departed_from_airport(row, airport_coord, delta):\n",
|
||
" return ((row[\"first_lon\"] - airport_coord[0]).abs() < delta) & ((row[\"first_lat\"] - airport_coord[1]).abs() < delta)\n",
|
||
"\n",
|
||
"def type_filter(row):\n",
|
||
" return row[\"type\"].str.startswith(\"A3\") | row[\"type\"].str.startswith(\"A2\") | row[\"type\"].str.startswith(\"B7\") | row[\"type\"].str.startswith(\"E7\")\n",
|
||
"\n",
|
||
"mask_departed = np.zeros(len(df), dtype=bool)\n",
|
||
"mask_landed = np.zeros(len(df), dtype=bool)\n",
|
||
"for airport in known_airports:\n",
|
||
" mask_departed |= departed_from_airport(df, airport, airport_delta)\n",
|
||
" mask_landed |= landed_at_airport(df, airport, airport_delta)\n",
|
||
"df_filtered = df[mask_departed & mask_landed & type_filter(df)]\n",
|
||
"df_filtered"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 56,
|
||
"id": "beec89ce",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0.5, 1.0, 'Known Flight Routes Between Major Airports in Norway and Sweden')"
|
||
]
|
||
},
|
||
"execution_count": 56,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1000x1200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"fig, ax = plt.subplots(figsize=(10, 12))\n",
|
||
"\n",
|
||
"# Basemap region tuned roughly to Norway\n",
|
||
"m = Basemap(\n",
|
||
" llcrnrlon=3, llcrnrlat=58,\n",
|
||
" urcrnrlon=32, urcrnrlat=72,\n",
|
||
" projection=\"lcc\",\n",
|
||
" lat_1=60, lat_2=70,\n",
|
||
" lon_0=15,\n",
|
||
" resolution=\"i\",\n",
|
||
" area_thresh=1000,\n",
|
||
" ax=ax\n",
|
||
")\n",
|
||
"\n",
|
||
"#m.drawcoastlines()\n",
|
||
"#m.drawcountries()\n",
|
||
"m.drawmapboundary(fill_color=\"#99ffff\")\n",
|
||
"m.fillcontinents(color=\"#ddaaaa\", lake_color=\"#99ffff\")\n",
|
||
"m.drawparallels(np.arange(58, 72, 2), labels=[1,0,0,0], linewidth=0.2)\n",
|
||
"m.drawmeridians(np.arange(4, 32, 4), labels=[0,0,0,1], linewidth=0.2)\n",
|
||
"\n",
|
||
"# Transform coordinates\n",
|
||
"x1, y1 = m(df_filtered[\"first_lon\"].values, df_filtered[\"first_lat\"].values)\n",
|
||
"x2, y2 = m(df_filtered[\"last_lon\"].values, df_filtered[\"last_lat\"].values)\n",
|
||
"\n",
|
||
"# Scatter: first + last positions\n",
|
||
"plt.scatter(x1, y1, s=20, c=df_filtered[\"first_alt\"], marker=\".\", label=\"First Position\", cmap=cax.cmap, norm=cax.norm)\n",
|
||
"plt.scatter(x2, y2, s=20, c=df_filtered[\"last_alt\"], marker=\"+\", label=\"Last Position\", cmap=cax.cmap, norm=cax.norm)\n",
|
||
"plt.plot([x1, x2], [y1, y2], c=\"gray\", linewidth=0.5, ls=\"--\", alpha=0.5)\n",
|
||
"\n",
|
||
"# Airports transformed\n",
|
||
"for airport in known_airports:\n",
|
||
" x, y = m(*airport)\n",
|
||
" plt.scatter(x, y, c=\"black\", s=50, marker=\"x\")\n",
|
||
"plt.legend()\n",
|
||
"\n",
|
||
"plt.colorbar(mappable=cax, cax=ax.inset_axes([1.02, 0.1, 0.03, 0.8]), label=\"Altitude (ft)\")\n",
|
||
"plt.title(\"Known Flight Routes Between Major Airports in Norway and Sweden\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"id": "c12b93f2",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_to_osl = df[landed_at_airport(df, OSLO_GARDERMOEN_AIRPORT, airport_delta) & type_filter(df)]\n",
|
||
"df_from_osl = df[departed_from_airport(df, OSLO_GARDERMOEN_AIRPORT, airport_delta) & type_filter(df)]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"id": "8295ac40",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
|
||
"columns": [
|
||
{
|
||
"name": "index",
|
||
"rawType": "int64",
|
||
"type": "integer"
|
||
},
|
||
{
|
||
"name": "file",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "icao",
|
||
"rawType": "object",
|
||
"type": "unknown"
|
||
},
|
||
{
|
||
"name": "reg",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "type",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "first_seen",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_lat",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_lon",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_alt",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_airspeed",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_seen",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_lat",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_lon",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_alt",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_airspeed",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
}
|
||
],
|
||
"ref": "1f512870-fccf-4716-a7be-93439830012e",
|
||
"rows": [
|
||
[
|
||
"1",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9e9.json.csv",
|
||
"4ac9e9",
|
||
"SE-ROI",
|
||
"A20N",
|
||
"1732085971.41",
|
||
"69.75667",
|
||
"19.10002",
|
||
"2000.0",
|
||
null,
|
||
"1732144931.89",
|
||
"60.17564",
|
||
"11.06835",
|
||
"1475.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"33",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a743.json.csv",
|
||
"47a743",
|
||
"LN-NGM",
|
||
"B738",
|
||
"1732088140.02",
|
||
"60.22984",
|
||
"11.09932",
|
||
"2375.0",
|
||
null,
|
||
"1732133273.27",
|
||
"60.16206",
|
||
"11.06019",
|
||
"1750.0",
|
||
"137.0"
|
||
],
|
||
[
|
||
"88",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acab2.json.csv",
|
||
"4acab2",
|
||
"SE-RUR",
|
||
"A20N",
|
||
"1732105134.72",
|
||
"60.21812",
|
||
"11.09316",
|
||
"2475.0",
|
||
null,
|
||
"1732139442.71",
|
||
"60.16837",
|
||
"11.10348",
|
||
"1450.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"97",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9e5.json.csv",
|
||
"4ac9e5",
|
||
"SE-ROE",
|
||
"A20N",
|
||
"1732085574.56",
|
||
"62.82104",
|
||
"10.79121",
|
||
"25350.0",
|
||
"270.0",
|
||
"1732130600.27",
|
||
"60.17555",
|
||
"11.06835",
|
||
"1450.0",
|
||
"141.0"
|
||
],
|
||
[
|
||
"99",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45d066.json.csv",
|
||
"45d066",
|
||
"OY-TCF",
|
||
"A321",
|
||
"1732085991.64",
|
||
"60.20224",
|
||
"11.12328",
|
||
"1800.0",
|
||
"177.0",
|
||
"1732130986.38",
|
||
"60.17184",
|
||
"11.10557",
|
||
"1300.0",
|
||
"151.0"
|
||
],
|
||
[
|
||
"105",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_400936.json.csv",
|
||
"400936",
|
||
"G-EUOA",
|
||
"A319",
|
||
"1732089714.71",
|
||
"51.46661",
|
||
"-0.45848",
|
||
"0.0",
|
||
null,
|
||
"1732139903.62",
|
||
"60.16798",
|
||
"11.10325",
|
||
"1450.0",
|
||
"126.0"
|
||
],
|
||
[
|
||
"138",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_3950d0.json.csv",
|
||
"3950d0",
|
||
"F-GUGQ",
|
||
"A318",
|
||
"1732083234.79",
|
||
"43.80584",
|
||
"11.19847",
|
||
"775.0",
|
||
null,
|
||
"1732142476.0",
|
||
"60.17249",
|
||
"11.1058",
|
||
"1350.0",
|
||
null
|
||
],
|
||
[
|
||
"159",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4787a0.json.csv",
|
||
"4787a0",
|
||
"LN-NIB",
|
||
"B738",
|
||
"1732087520.04",
|
||
"62.81145",
|
||
"10.85998",
|
||
"25325.0",
|
||
"288.0",
|
||
"1732132980.31",
|
||
"60.16228",
|
||
"11.06077",
|
||
"1725.0",
|
||
"141.0"
|
||
],
|
||
[
|
||
"270",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb58.json.csv",
|
||
"4acb58",
|
||
"SE-RZX",
|
||
"A20N",
|
||
"1732086892.73",
|
||
"60.20596",
|
||
"11.08579",
|
||
"1700.0",
|
||
null,
|
||
"1732132650.56",
|
||
"60.17395",
|
||
"11.1067",
|
||
"1300.0",
|
||
"127.0"
|
||
],
|
||
[
|
||
"300",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47873f.json.csv",
|
||
"47873f",
|
||
"LN-DYM",
|
||
"B738",
|
||
"1732084337.71",
|
||
"62.96805",
|
||
"11.71238",
|
||
"40000.0",
|
||
"233.0",
|
||
"1732133460.37",
|
||
"60.15884",
|
||
"11.09799",
|
||
"1625.0",
|
||
null
|
||
],
|
||
[
|
||
"303",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_503d73.json.csv",
|
||
"503d73",
|
||
"LY-WSM",
|
||
"A320",
|
||
"1732086830.17",
|
||
"60.20238",
|
||
"11.12261",
|
||
"2025.0",
|
||
null,
|
||
"1732131257.0",
|
||
"60.16946",
|
||
"11.10415",
|
||
"1400.0",
|
||
"143.0"
|
||
],
|
||
[
|
||
"314",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4792a6.json.csv",
|
||
"4792a6",
|
||
"LN-NIM",
|
||
"B738",
|
||
"1732085185.13",
|
||
"58.86763",
|
||
"6.09703",
|
||
"14525.0",
|
||
null,
|
||
"1732130229.71",
|
||
"60.15084",
|
||
"11.09335",
|
||
"1775.0",
|
||
"139.0"
|
||
],
|
||
[
|
||
"337",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_3c65cb.json.csv",
|
||
"3c65cb",
|
||
"D-AINK",
|
||
"A20N",
|
||
"1732091242.1",
|
||
"48.35643",
|
||
"11.80244",
|
||
"0.0",
|
||
null,
|
||
"1732140775.82",
|
||
"60.17333",
|
||
"11.10639",
|
||
"1325.0",
|
||
"143.0"
|
||
],
|
||
[
|
||
"390",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_503d6f.json.csv",
|
||
"503d6f",
|
||
"LY-HMD",
|
||
"A320",
|
||
"1732083419.16",
|
||
"60.2075",
|
||
"11.08687",
|
||
"1475.0",
|
||
"170.0",
|
||
"1732141447.81",
|
||
"60.16979",
|
||
"11.10433",
|
||
"1425.0",
|
||
"133.0"
|
||
],
|
||
[
|
||
"394",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca07.json.csv",
|
||
"4aca07",
|
||
"SE-RPG",
|
||
"B738",
|
||
"1732088366.44",
|
||
"60.2173",
|
||
"11.09231",
|
||
"1600.0",
|
||
null,
|
||
"1732142109.34",
|
||
"60.14796",
|
||
"11.09178",
|
||
"1875.0",
|
||
"149.0"
|
||
],
|
||
[
|
||
"411",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9f0.json.csv",
|
||
"4ac9f0",
|
||
"SE-ROP",
|
||
"A20N",
|
||
"1732085901.65",
|
||
"60.20737",
|
||
"11.08663",
|
||
"1450.0",
|
||
"152.0",
|
||
"1732131718.86",
|
||
"60.17305",
|
||
"11.1062",
|
||
"1325.0",
|
||
"128.0"
|
||
],
|
||
[
|
||
"418",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9ea.json.csv",
|
||
"4ac9ea",
|
||
"SE-ROJ",
|
||
"A20N",
|
||
"1732084096.74",
|
||
"60.40642",
|
||
"6.24926",
|
||
"24325.0",
|
||
"271.0",
|
||
"1732134325.82",
|
||
"60.16784",
|
||
"11.10325",
|
||
"1450.0",
|
||
null
|
||
],
|
||
[
|
||
"420",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac52.json.csv",
|
||
"45ac52",
|
||
"OY-KBR",
|
||
"A319",
|
||
"1732091550.91",
|
||
"60.19656",
|
||
"11.11983",
|
||
"1700.0",
|
||
null,
|
||
"1732129933.53",
|
||
"60.17249",
|
||
"11.10585",
|
||
"1325.0",
|
||
"124.0"
|
||
],
|
||
[
|
||
"436",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a185.json.csv",
|
||
"47a185",
|
||
"LN-ENT",
|
||
"B738",
|
||
"1732083734.85",
|
||
"59.58673",
|
||
"6.39963",
|
||
"22675.0",
|
||
null,
|
||
"1732130738.73",
|
||
"60.163",
|
||
"11.06137",
|
||
"1700.0",
|
||
"146.0"
|
||
],
|
||
[
|
||
"451",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_484161.json.csv",
|
||
"484161",
|
||
"PH-BXH",
|
||
"B738",
|
||
"1732085198.86",
|
||
"52.30917",
|
||
"4.76632",
|
||
"0.0",
|
||
null,
|
||
"1732138113.81",
|
||
"60.14964",
|
||
"11.09278",
|
||
"1825.0",
|
||
"144.0"
|
||
],
|
||
[
|
||
"463",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac33.json.csv",
|
||
"45ac33",
|
||
"OY-KAS",
|
||
"A320",
|
||
"1732108648.67",
|
||
"60.2082",
|
||
"11.08707",
|
||
"1475.0",
|
||
"163.0",
|
||
"1732116667.35",
|
||
"60.16452",
|
||
"11.0621",
|
||
"1650.0",
|
||
"136.0"
|
||
],
|
||
[
|
||
"470",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_3c65cd.json.csv",
|
||
"3c65cd",
|
||
"D-AINM",
|
||
"A20N",
|
||
"1732080355.59",
|
||
"59.66272",
|
||
"17.97061",
|
||
"1100.0",
|
||
null,
|
||
"1732143159.77",
|
||
"60.17324",
|
||
"11.10629",
|
||
"1350.0",
|
||
"137.0"
|
||
],
|
||
[
|
||
"478",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acab0.json.csv",
|
||
"4acab0",
|
||
"SE-RUP",
|
||
"A20N",
|
||
"1732086361.74",
|
||
"60.19926",
|
||
"11.12186",
|
||
"2025.0",
|
||
null,
|
||
"1732130383.51",
|
||
"60.17427",
|
||
"11.1068",
|
||
"1275.0",
|
||
"134.0"
|
||
],
|
||
[
|
||
"498",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acaa3.json.csv",
|
||
"4acaa3",
|
||
"SE-RUC",
|
||
"A20N",
|
||
"1732081753.84",
|
||
"62.81885",
|
||
"10.92559",
|
||
"25775.0",
|
||
null,
|
||
"1732136517.99",
|
||
"60.17379",
|
||
"11.10669",
|
||
"1325.0",
|
||
"134.0"
|
||
],
|
||
[
|
||
"513",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb44.json.csv",
|
||
"4acb44",
|
||
"SE-RZD",
|
||
"A20N",
|
||
"1732083559.22",
|
||
"62.80614",
|
||
"8.15672",
|
||
"20075.0",
|
||
"267.0",
|
||
"1732135765.65",
|
||
"60.17356",
|
||
"11.06716",
|
||
"1500.0",
|
||
"131.0"
|
||
],
|
||
[
|
||
"539",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca4f.json.csv",
|
||
"4aca4f",
|
||
"SE-RRO",
|
||
"B738",
|
||
"1732107910.18",
|
||
"52.16743",
|
||
"20.96123",
|
||
"1100.0",
|
||
null,
|
||
"1732125875.01",
|
||
"60.16182",
|
||
"11.06039",
|
||
"1700.0",
|
||
"140.0"
|
||
],
|
||
[
|
||
"543",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac4f.json.csv",
|
||
"45ac4f",
|
||
"OY-KBO",
|
||
"A319",
|
||
"1732081659.94",
|
||
"59.42631",
|
||
"5.84113",
|
||
"16425.0",
|
||
null,
|
||
"1732123852.2",
|
||
"60.17403",
|
||
"11.10679",
|
||
"1275.0",
|
||
"131.0"
|
||
],
|
||
[
|
||
"547",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4787b3.json.csv",
|
||
"4787b3",
|
||
"LN-NGD",
|
||
"B738",
|
||
"1732084025.37",
|
||
"63.12557",
|
||
"11.75364",
|
||
"40000.0",
|
||
"239.0",
|
||
"1732129630.01",
|
||
"60.15738",
|
||
"11.05783",
|
||
"1800.0",
|
||
"148.0"
|
||
],
|
||
[
|
||
"563",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca05.json.csv",
|
||
"4aca05",
|
||
"SE-RPE",
|
||
"B738",
|
||
"1732102533.23",
|
||
"60.22924",
|
||
"11.09972",
|
||
"2275.0",
|
||
"173.0",
|
||
"1732132491.85",
|
||
"60.16244",
|
||
"11.06058",
|
||
"1750.0",
|
||
"145.0"
|
||
],
|
||
[
|
||
"571",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb45.json.csv",
|
||
"4acb45",
|
||
"SE-RZE",
|
||
"A20N",
|
||
"1732084409.38",
|
||
"62.87126",
|
||
"10.88006",
|
||
"26725.0",
|
||
"269.0",
|
||
"1732127516.69",
|
||
"60.16858",
|
||
"11.10365",
|
||
"1425.0",
|
||
null
|
||
],
|
||
[
|
||
"575",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a0bf.json.csv",
|
||
"47a0bf",
|
||
"LN-ENU",
|
||
"B738",
|
||
"1732087102.87",
|
||
"60.40926",
|
||
"6.25583",
|
||
"21675.0",
|
||
null,
|
||
"1732128498.64",
|
||
"60.15743",
|
||
"11.05783",
|
||
"1800.0",
|
||
"144.0"
|
||
],
|
||
[
|
||
"577",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4780bf.json.csv",
|
||
"4780bf",
|
||
"LN-RPJ",
|
||
"B737",
|
||
"1732087550.32",
|
||
"60.21672",
|
||
"11.09197",
|
||
"1550.0",
|
||
null,
|
||
"1732125139.28",
|
||
"60.15801",
|
||
"11.05813",
|
||
"1775.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"591",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4791dd.json.csv",
|
||
"4791dd",
|
||
"LN-NIP",
|
||
"B738",
|
||
"1732081646.62",
|
||
"58.20218",
|
||
"8.07513",
|
||
"0.0",
|
||
null,
|
||
"1732129790.01",
|
||
"60.15778",
|
||
"11.05813",
|
||
"1800.0",
|
||
"153.0"
|
||
],
|
||
[
|
||
"597",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47bb0a.json.csv",
|
||
"47bb0a",
|
||
"LN-RGL",
|
||
"A20N",
|
||
"1732083020.56",
|
||
"62.57263",
|
||
"6.1553",
|
||
"2525.0",
|
||
null,
|
||
"1732138276.36",
|
||
"60.16855",
|
||
"11.10358",
|
||
"1450.0",
|
||
null
|
||
],
|
||
[
|
||
"622",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4cad41.json.csv",
|
||
"4cad41",
|
||
"EI-SIN",
|
||
"A20N",
|
||
"1732081275.38",
|
||
"62.79039",
|
||
"14.65597",
|
||
"23550.0",
|
||
null,
|
||
"1732122706.81",
|
||
"60.17253",
|
||
"11.10595",
|
||
"1325.0",
|
||
"124.0"
|
||
],
|
||
[
|
||
"626",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9fa.json.csv",
|
||
"4ac9fa",
|
||
"SE-ROZ",
|
||
"A20N",
|
||
"1732081567.49",
|
||
"58.20284",
|
||
"8.07582",
|
||
"0.0",
|
||
null,
|
||
"1732131997.86",
|
||
"60.1656",
|
||
"11.10198",
|
||
"1475.0",
|
||
null
|
||
],
|
||
[
|
||
"645",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_479227.json.csv",
|
||
"479227",
|
||
"LN-NIN",
|
||
"B738",
|
||
"1732084837.76",
|
||
"63.14882",
|
||
"11.69576",
|
||
"38000.0",
|
||
"242.0",
|
||
"1732135012.3",
|
||
"60.15871",
|
||
"11.05872",
|
||
"1800.0",
|
||
"147.0"
|
||
],
|
||
[
|
||
"664",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb5a.json.csv",
|
||
"4acb5a",
|
||
"SE-RZZ",
|
||
"A20N",
|
||
"1732086263.82",
|
||
"60.20526",
|
||
"11.08549",
|
||
"1825.0",
|
||
"154.0",
|
||
"1732127169.11",
|
||
"60.17574",
|
||
"11.06835",
|
||
"1425.0",
|
||
"126.0"
|
||
],
|
||
[
|
||
"669",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac39.json.csv",
|
||
"45ac39",
|
||
"OY-KAY",
|
||
"A320",
|
||
"1732081669.3",
|
||
"58.86116",
|
||
"5.63779",
|
||
"1900.0",
|
||
"157.0",
|
||
"1732117977.52",
|
||
"60.162",
|
||
"11.06049",
|
||
"1700.0",
|
||
"132.0"
|
||
]
|
||
],
|
||
"shape": {
|
||
"columns": 14,
|
||
"rows": 39
|
||
}
|
||
},
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>file</th>\n",
|
||
" <th>icao</th>\n",
|
||
" <th>reg</th>\n",
|
||
" <th>type</th>\n",
|
||
" <th>first_seen</th>\n",
|
||
" <th>first_lat</th>\n",
|
||
" <th>first_lon</th>\n",
|
||
" <th>first_alt</th>\n",
|
||
" <th>first_airspeed</th>\n",
|
||
" <th>last_seen</th>\n",
|
||
" <th>last_lat</th>\n",
|
||
" <th>last_lon</th>\n",
|
||
" <th>last_alt</th>\n",
|
||
" <th>last_airspeed</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9e9</td>\n",
|
||
" <td>SE-ROI</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>69.75667</td>\n",
|
||
" <td>19.10002</td>\n",
|
||
" <td>2000.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732145e+09</td>\n",
|
||
" <td>60.17564</td>\n",
|
||
" <td>11.06835</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>33</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a743</td>\n",
|
||
" <td>LN-NGM</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.22984</td>\n",
|
||
" <td>11.09932</td>\n",
|
||
" <td>2375.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>60.16206</td>\n",
|
||
" <td>11.06019</td>\n",
|
||
" <td>1750.0</td>\n",
|
||
" <td>137.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>88</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acab2</td>\n",
|
||
" <td>SE-RUR</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732105e+09</td>\n",
|
||
" <td>60.21812</td>\n",
|
||
" <td>11.09316</td>\n",
|
||
" <td>2475.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732139e+09</td>\n",
|
||
" <td>60.16837</td>\n",
|
||
" <td>11.10348</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>97</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9e5</td>\n",
|
||
" <td>SE-ROE</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>62.82104</td>\n",
|
||
" <td>10.79121</td>\n",
|
||
" <td>25350.0</td>\n",
|
||
" <td>270.0</td>\n",
|
||
" <td>1.732131e+09</td>\n",
|
||
" <td>60.17555</td>\n",
|
||
" <td>11.06835</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>141.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45d066</td>\n",
|
||
" <td>OY-TCF</td>\n",
|
||
" <td>A321</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.20224</td>\n",
|
||
" <td>11.12328</td>\n",
|
||
" <td>1800.0</td>\n",
|
||
" <td>177.0</td>\n",
|
||
" <td>1.732131e+09</td>\n",
|
||
" <td>60.17184</td>\n",
|
||
" <td>11.10557</td>\n",
|
||
" <td>1300.0</td>\n",
|
||
" <td>151.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>105</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>400936</td>\n",
|
||
" <td>G-EUOA</td>\n",
|
||
" <td>A319</td>\n",
|
||
" <td>1.732090e+09</td>\n",
|
||
" <td>51.46661</td>\n",
|
||
" <td>-0.45848</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732140e+09</td>\n",
|
||
" <td>60.16798</td>\n",
|
||
" <td>11.10325</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>126.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>138</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>3950d0</td>\n",
|
||
" <td>F-GUGQ</td>\n",
|
||
" <td>A318</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>43.80584</td>\n",
|
||
" <td>11.19847</td>\n",
|
||
" <td>775.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732142e+09</td>\n",
|
||
" <td>60.17249</td>\n",
|
||
" <td>11.10580</td>\n",
|
||
" <td>1350.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>159</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4787a0</td>\n",
|
||
" <td>LN-NIB</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>62.81145</td>\n",
|
||
" <td>10.85998</td>\n",
|
||
" <td>25325.0</td>\n",
|
||
" <td>288.0</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>60.16228</td>\n",
|
||
" <td>11.06077</td>\n",
|
||
" <td>1725.0</td>\n",
|
||
" <td>141.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>270</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb58</td>\n",
|
||
" <td>SE-RZX</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>60.20596</td>\n",
|
||
" <td>11.08579</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>60.17395</td>\n",
|
||
" <td>11.10670</td>\n",
|
||
" <td>1300.0</td>\n",
|
||
" <td>127.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>300</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47873f</td>\n",
|
||
" <td>LN-DYM</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>62.96805</td>\n",
|
||
" <td>11.71238</td>\n",
|
||
" <td>40000.0</td>\n",
|
||
" <td>233.0</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>60.15884</td>\n",
|
||
" <td>11.09799</td>\n",
|
||
" <td>1625.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>303</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>503d73</td>\n",
|
||
" <td>LY-WSM</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>60.20238</td>\n",
|
||
" <td>11.12261</td>\n",
|
||
" <td>2025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732131e+09</td>\n",
|
||
" <td>60.16946</td>\n",
|
||
" <td>11.10415</td>\n",
|
||
" <td>1400.0</td>\n",
|
||
" <td>143.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>314</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4792a6</td>\n",
|
||
" <td>LN-NIM</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732085e+09</td>\n",
|
||
" <td>58.86763</td>\n",
|
||
" <td>6.09703</td>\n",
|
||
" <td>14525.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.15084</td>\n",
|
||
" <td>11.09335</td>\n",
|
||
" <td>1775.0</td>\n",
|
||
" <td>139.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>337</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>3c65cb</td>\n",
|
||
" <td>D-AINK</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732091e+09</td>\n",
|
||
" <td>48.35643</td>\n",
|
||
" <td>11.80244</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732141e+09</td>\n",
|
||
" <td>60.17333</td>\n",
|
||
" <td>11.10639</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>143.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>390</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>503d6f</td>\n",
|
||
" <td>LY-HMD</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>60.20750</td>\n",
|
||
" <td>11.08687</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>170.0</td>\n",
|
||
" <td>1.732141e+09</td>\n",
|
||
" <td>60.16979</td>\n",
|
||
" <td>11.10433</td>\n",
|
||
" <td>1425.0</td>\n",
|
||
" <td>133.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>394</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca07</td>\n",
|
||
" <td>SE-RPG</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.21730</td>\n",
|
||
" <td>11.09231</td>\n",
|
||
" <td>1600.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732142e+09</td>\n",
|
||
" <td>60.14796</td>\n",
|
||
" <td>11.09178</td>\n",
|
||
" <td>1875.0</td>\n",
|
||
" <td>149.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>411</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9f0</td>\n",
|
||
" <td>SE-ROP</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.20737</td>\n",
|
||
" <td>11.08663</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>152.0</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>60.17305</td>\n",
|
||
" <td>11.10620</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>128.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>418</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9ea</td>\n",
|
||
" <td>SE-ROJ</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>60.40642</td>\n",
|
||
" <td>6.24926</td>\n",
|
||
" <td>24325.0</td>\n",
|
||
" <td>271.0</td>\n",
|
||
" <td>1.732134e+09</td>\n",
|
||
" <td>60.16784</td>\n",
|
||
" <td>11.10325</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>420</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac52</td>\n",
|
||
" <td>OY-KBR</td>\n",
|
||
" <td>A319</td>\n",
|
||
" <td>1.732092e+09</td>\n",
|
||
" <td>60.19656</td>\n",
|
||
" <td>11.11983</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.17249</td>\n",
|
||
" <td>11.10585</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>124.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>436</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a185</td>\n",
|
||
" <td>LN-ENT</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>59.58673</td>\n",
|
||
" <td>6.39963</td>\n",
|
||
" <td>22675.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732131e+09</td>\n",
|
||
" <td>60.16300</td>\n",
|
||
" <td>11.06137</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>146.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>451</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>484161</td>\n",
|
||
" <td>PH-BXH</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732085e+09</td>\n",
|
||
" <td>52.30917</td>\n",
|
||
" <td>4.76632</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732138e+09</td>\n",
|
||
" <td>60.14964</td>\n",
|
||
" <td>11.09278</td>\n",
|
||
" <td>1825.0</td>\n",
|
||
" <td>144.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>463</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac33</td>\n",
|
||
" <td>OY-KAS</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732109e+09</td>\n",
|
||
" <td>60.20820</td>\n",
|
||
" <td>11.08707</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>163.0</td>\n",
|
||
" <td>1.732117e+09</td>\n",
|
||
" <td>60.16452</td>\n",
|
||
" <td>11.06210</td>\n",
|
||
" <td>1650.0</td>\n",
|
||
" <td>136.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>470</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>3c65cd</td>\n",
|
||
" <td>D-AINM</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732080e+09</td>\n",
|
||
" <td>59.66272</td>\n",
|
||
" <td>17.97061</td>\n",
|
||
" <td>1100.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732143e+09</td>\n",
|
||
" <td>60.17324</td>\n",
|
||
" <td>11.10629</td>\n",
|
||
" <td>1350.0</td>\n",
|
||
" <td>137.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>478</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acab0</td>\n",
|
||
" <td>SE-RUP</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.19926</td>\n",
|
||
" <td>11.12186</td>\n",
|
||
" <td>2025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.17427</td>\n",
|
||
" <td>11.10680</td>\n",
|
||
" <td>1275.0</td>\n",
|
||
" <td>134.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>498</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acaa3</td>\n",
|
||
" <td>SE-RUC</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>62.81885</td>\n",
|
||
" <td>10.92559</td>\n",
|
||
" <td>25775.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732137e+09</td>\n",
|
||
" <td>60.17379</td>\n",
|
||
" <td>11.10669</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>134.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>513</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb44</td>\n",
|
||
" <td>SE-RZD</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>62.80614</td>\n",
|
||
" <td>8.15672</td>\n",
|
||
" <td>20075.0</td>\n",
|
||
" <td>267.0</td>\n",
|
||
" <td>1.732136e+09</td>\n",
|
||
" <td>60.17356</td>\n",
|
||
" <td>11.06716</td>\n",
|
||
" <td>1500.0</td>\n",
|
||
" <td>131.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>539</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca4f</td>\n",
|
||
" <td>SE-RRO</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732108e+09</td>\n",
|
||
" <td>52.16743</td>\n",
|
||
" <td>20.96123</td>\n",
|
||
" <td>1100.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732126e+09</td>\n",
|
||
" <td>60.16182</td>\n",
|
||
" <td>11.06039</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>140.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>543</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac4f</td>\n",
|
||
" <td>OY-KBO</td>\n",
|
||
" <td>A319</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>59.42631</td>\n",
|
||
" <td>5.84113</td>\n",
|
||
" <td>16425.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732124e+09</td>\n",
|
||
" <td>60.17403</td>\n",
|
||
" <td>11.10679</td>\n",
|
||
" <td>1275.0</td>\n",
|
||
" <td>131.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>547</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4787b3</td>\n",
|
||
" <td>LN-NGD</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>63.12557</td>\n",
|
||
" <td>11.75364</td>\n",
|
||
" <td>40000.0</td>\n",
|
||
" <td>239.0</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.15738</td>\n",
|
||
" <td>11.05783</td>\n",
|
||
" <td>1800.0</td>\n",
|
||
" <td>148.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>563</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca05</td>\n",
|
||
" <td>SE-RPE</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732103e+09</td>\n",
|
||
" <td>60.22924</td>\n",
|
||
" <td>11.09972</td>\n",
|
||
" <td>2275.0</td>\n",
|
||
" <td>173.0</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>60.16244</td>\n",
|
||
" <td>11.06058</td>\n",
|
||
" <td>1750.0</td>\n",
|
||
" <td>145.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>571</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb45</td>\n",
|
||
" <td>SE-RZE</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>62.87126</td>\n",
|
||
" <td>10.88006</td>\n",
|
||
" <td>26725.0</td>\n",
|
||
" <td>269.0</td>\n",
|
||
" <td>1.732128e+09</td>\n",
|
||
" <td>60.16858</td>\n",
|
||
" <td>11.10365</td>\n",
|
||
" <td>1425.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>575</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a0bf</td>\n",
|
||
" <td>LN-ENU</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>60.40926</td>\n",
|
||
" <td>6.25583</td>\n",
|
||
" <td>21675.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732128e+09</td>\n",
|
||
" <td>60.15743</td>\n",
|
||
" <td>11.05783</td>\n",
|
||
" <td>1800.0</td>\n",
|
||
" <td>144.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>577</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4780bf</td>\n",
|
||
" <td>LN-RPJ</td>\n",
|
||
" <td>B737</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.21672</td>\n",
|
||
" <td>11.09197</td>\n",
|
||
" <td>1550.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732125e+09</td>\n",
|
||
" <td>60.15801</td>\n",
|
||
" <td>11.05813</td>\n",
|
||
" <td>1775.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>591</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4791dd</td>\n",
|
||
" <td>LN-NIP</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>58.20218</td>\n",
|
||
" <td>8.07513</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.15778</td>\n",
|
||
" <td>11.05813</td>\n",
|
||
" <td>1800.0</td>\n",
|
||
" <td>153.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>597</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47bb0a</td>\n",
|
||
" <td>LN-RGL</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>62.57263</td>\n",
|
||
" <td>6.15530</td>\n",
|
||
" <td>2525.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732138e+09</td>\n",
|
||
" <td>60.16855</td>\n",
|
||
" <td>11.10358</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>622</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4cad41</td>\n",
|
||
" <td>EI-SIN</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732081e+09</td>\n",
|
||
" <td>62.79039</td>\n",
|
||
" <td>14.65597</td>\n",
|
||
" <td>23550.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732123e+09</td>\n",
|
||
" <td>60.17253</td>\n",
|
||
" <td>11.10595</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>124.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>626</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9fa</td>\n",
|
||
" <td>SE-ROZ</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>58.20284</td>\n",
|
||
" <td>8.07582</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>60.16560</td>\n",
|
||
" <td>11.10198</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>645</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>479227</td>\n",
|
||
" <td>LN-NIN</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732085e+09</td>\n",
|
||
" <td>63.14882</td>\n",
|
||
" <td>11.69576</td>\n",
|
||
" <td>38000.0</td>\n",
|
||
" <td>242.0</td>\n",
|
||
" <td>1.732135e+09</td>\n",
|
||
" <td>60.15871</td>\n",
|
||
" <td>11.05872</td>\n",
|
||
" <td>1800.0</td>\n",
|
||
" <td>147.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>664</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb5a</td>\n",
|
||
" <td>SE-RZZ</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.20526</td>\n",
|
||
" <td>11.08549</td>\n",
|
||
" <td>1825.0</td>\n",
|
||
" <td>154.0</td>\n",
|
||
" <td>1.732127e+09</td>\n",
|
||
" <td>60.17574</td>\n",
|
||
" <td>11.06835</td>\n",
|
||
" <td>1425.0</td>\n",
|
||
" <td>126.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>669</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac39</td>\n",
|
||
" <td>OY-KAY</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>58.86116</td>\n",
|
||
" <td>5.63779</td>\n",
|
||
" <td>1900.0</td>\n",
|
||
" <td>157.0</td>\n",
|
||
" <td>1.732118e+09</td>\n",
|
||
" <td>60.16200</td>\n",
|
||
" <td>11.06049</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>132.0</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" file icao reg type \\\n",
|
||
"1 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9e9 SE-ROI A20N \n",
|
||
"33 /home/lars/Documents/Studium/UiO/data_analysis... 47a743 LN-NGM B738 \n",
|
||
"88 /home/lars/Documents/Studium/UiO/data_analysis... 4acab2 SE-RUR A20N \n",
|
||
"97 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9e5 SE-ROE A20N \n",
|
||
"99 /home/lars/Documents/Studium/UiO/data_analysis... 45d066 OY-TCF A321 \n",
|
||
"105 /home/lars/Documents/Studium/UiO/data_analysis... 400936 G-EUOA A319 \n",
|
||
"138 /home/lars/Documents/Studium/UiO/data_analysis... 3950d0 F-GUGQ A318 \n",
|
||
"159 /home/lars/Documents/Studium/UiO/data_analysis... 4787a0 LN-NIB B738 \n",
|
||
"270 /home/lars/Documents/Studium/UiO/data_analysis... 4acb58 SE-RZX A20N \n",
|
||
"300 /home/lars/Documents/Studium/UiO/data_analysis... 47873f LN-DYM B738 \n",
|
||
"303 /home/lars/Documents/Studium/UiO/data_analysis... 503d73 LY-WSM A320 \n",
|
||
"314 /home/lars/Documents/Studium/UiO/data_analysis... 4792a6 LN-NIM B738 \n",
|
||
"337 /home/lars/Documents/Studium/UiO/data_analysis... 3c65cb D-AINK A20N \n",
|
||
"390 /home/lars/Documents/Studium/UiO/data_analysis... 503d6f LY-HMD A320 \n",
|
||
"394 /home/lars/Documents/Studium/UiO/data_analysis... 4aca07 SE-RPG B738 \n",
|
||
"411 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9f0 SE-ROP A20N \n",
|
||
"418 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9ea SE-ROJ A20N \n",
|
||
"420 /home/lars/Documents/Studium/UiO/data_analysis... 45ac52 OY-KBR A319 \n",
|
||
"436 /home/lars/Documents/Studium/UiO/data_analysis... 47a185 LN-ENT B738 \n",
|
||
"451 /home/lars/Documents/Studium/UiO/data_analysis... 484161 PH-BXH B738 \n",
|
||
"463 /home/lars/Documents/Studium/UiO/data_analysis... 45ac33 OY-KAS A320 \n",
|
||
"470 /home/lars/Documents/Studium/UiO/data_analysis... 3c65cd D-AINM A20N \n",
|
||
"478 /home/lars/Documents/Studium/UiO/data_analysis... 4acab0 SE-RUP A20N \n",
|
||
"498 /home/lars/Documents/Studium/UiO/data_analysis... 4acaa3 SE-RUC A20N \n",
|
||
"513 /home/lars/Documents/Studium/UiO/data_analysis... 4acb44 SE-RZD A20N \n",
|
||
"539 /home/lars/Documents/Studium/UiO/data_analysis... 4aca4f SE-RRO B738 \n",
|
||
"543 /home/lars/Documents/Studium/UiO/data_analysis... 45ac4f OY-KBO A319 \n",
|
||
"547 /home/lars/Documents/Studium/UiO/data_analysis... 4787b3 LN-NGD B738 \n",
|
||
"563 /home/lars/Documents/Studium/UiO/data_analysis... 4aca05 SE-RPE B738 \n",
|
||
"571 /home/lars/Documents/Studium/UiO/data_analysis... 4acb45 SE-RZE A20N \n",
|
||
"575 /home/lars/Documents/Studium/UiO/data_analysis... 47a0bf LN-ENU B738 \n",
|
||
"577 /home/lars/Documents/Studium/UiO/data_analysis... 4780bf LN-RPJ B737 \n",
|
||
"591 /home/lars/Documents/Studium/UiO/data_analysis... 4791dd LN-NIP B738 \n",
|
||
"597 /home/lars/Documents/Studium/UiO/data_analysis... 47bb0a LN-RGL A20N \n",
|
||
"622 /home/lars/Documents/Studium/UiO/data_analysis... 4cad41 EI-SIN A20N \n",
|
||
"626 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9fa SE-ROZ A20N \n",
|
||
"645 /home/lars/Documents/Studium/UiO/data_analysis... 479227 LN-NIN B738 \n",
|
||
"664 /home/lars/Documents/Studium/UiO/data_analysis... 4acb5a SE-RZZ A20N \n",
|
||
"669 /home/lars/Documents/Studium/UiO/data_analysis... 45ac39 OY-KAY A320 \n",
|
||
"\n",
|
||
" first_seen first_lat first_lon first_alt first_airspeed \\\n",
|
||
"1 1.732086e+09 69.75667 19.10002 2000.0 NaN \n",
|
||
"33 1.732088e+09 60.22984 11.09932 2375.0 NaN \n",
|
||
"88 1.732105e+09 60.21812 11.09316 2475.0 NaN \n",
|
||
"97 1.732086e+09 62.82104 10.79121 25350.0 270.0 \n",
|
||
"99 1.732086e+09 60.20224 11.12328 1800.0 177.0 \n",
|
||
"105 1.732090e+09 51.46661 -0.45848 0.0 NaN \n",
|
||
"138 1.732083e+09 43.80584 11.19847 775.0 NaN \n",
|
||
"159 1.732088e+09 62.81145 10.85998 25325.0 288.0 \n",
|
||
"270 1.732087e+09 60.20596 11.08579 1700.0 NaN \n",
|
||
"300 1.732084e+09 62.96805 11.71238 40000.0 233.0 \n",
|
||
"303 1.732087e+09 60.20238 11.12261 2025.0 NaN \n",
|
||
"314 1.732085e+09 58.86763 6.09703 14525.0 NaN \n",
|
||
"337 1.732091e+09 48.35643 11.80244 0.0 NaN \n",
|
||
"390 1.732083e+09 60.20750 11.08687 1475.0 170.0 \n",
|
||
"394 1.732088e+09 60.21730 11.09231 1600.0 NaN \n",
|
||
"411 1.732086e+09 60.20737 11.08663 1450.0 152.0 \n",
|
||
"418 1.732084e+09 60.40642 6.24926 24325.0 271.0 \n",
|
||
"420 1.732092e+09 60.19656 11.11983 1700.0 NaN \n",
|
||
"436 1.732084e+09 59.58673 6.39963 22675.0 NaN \n",
|
||
"451 1.732085e+09 52.30917 4.76632 0.0 NaN \n",
|
||
"463 1.732109e+09 60.20820 11.08707 1475.0 163.0 \n",
|
||
"470 1.732080e+09 59.66272 17.97061 1100.0 NaN \n",
|
||
"478 1.732086e+09 60.19926 11.12186 2025.0 NaN \n",
|
||
"498 1.732082e+09 62.81885 10.92559 25775.0 NaN \n",
|
||
"513 1.732084e+09 62.80614 8.15672 20075.0 267.0 \n",
|
||
"539 1.732108e+09 52.16743 20.96123 1100.0 NaN \n",
|
||
"543 1.732082e+09 59.42631 5.84113 16425.0 NaN \n",
|
||
"547 1.732084e+09 63.12557 11.75364 40000.0 239.0 \n",
|
||
"563 1.732103e+09 60.22924 11.09972 2275.0 173.0 \n",
|
||
"571 1.732084e+09 62.87126 10.88006 26725.0 269.0 \n",
|
||
"575 1.732087e+09 60.40926 6.25583 21675.0 NaN \n",
|
||
"577 1.732088e+09 60.21672 11.09197 1550.0 NaN \n",
|
||
"591 1.732082e+09 58.20218 8.07513 0.0 NaN \n",
|
||
"597 1.732083e+09 62.57263 6.15530 2525.0 NaN \n",
|
||
"622 1.732081e+09 62.79039 14.65597 23550.0 NaN \n",
|
||
"626 1.732082e+09 58.20284 8.07582 0.0 NaN \n",
|
||
"645 1.732085e+09 63.14882 11.69576 38000.0 242.0 \n",
|
||
"664 1.732086e+09 60.20526 11.08549 1825.0 154.0 \n",
|
||
"669 1.732082e+09 58.86116 5.63779 1900.0 157.0 \n",
|
||
"\n",
|
||
" last_seen last_lat last_lon last_alt last_airspeed \n",
|
||
"1 1.732145e+09 60.17564 11.06835 1475.0 129.0 \n",
|
||
"33 1.732133e+09 60.16206 11.06019 1750.0 137.0 \n",
|
||
"88 1.732139e+09 60.16837 11.10348 1450.0 129.0 \n",
|
||
"97 1.732131e+09 60.17555 11.06835 1450.0 141.0 \n",
|
||
"99 1.732131e+09 60.17184 11.10557 1300.0 151.0 \n",
|
||
"105 1.732140e+09 60.16798 11.10325 1450.0 126.0 \n",
|
||
"138 1.732142e+09 60.17249 11.10580 1350.0 NaN \n",
|
||
"159 1.732133e+09 60.16228 11.06077 1725.0 141.0 \n",
|
||
"270 1.732133e+09 60.17395 11.10670 1300.0 127.0 \n",
|
||
"300 1.732133e+09 60.15884 11.09799 1625.0 NaN \n",
|
||
"303 1.732131e+09 60.16946 11.10415 1400.0 143.0 \n",
|
||
"314 1.732130e+09 60.15084 11.09335 1775.0 139.0 \n",
|
||
"337 1.732141e+09 60.17333 11.10639 1325.0 143.0 \n",
|
||
"390 1.732141e+09 60.16979 11.10433 1425.0 133.0 \n",
|
||
"394 1.732142e+09 60.14796 11.09178 1875.0 149.0 \n",
|
||
"411 1.732132e+09 60.17305 11.10620 1325.0 128.0 \n",
|
||
"418 1.732134e+09 60.16784 11.10325 1450.0 NaN \n",
|
||
"420 1.732130e+09 60.17249 11.10585 1325.0 124.0 \n",
|
||
"436 1.732131e+09 60.16300 11.06137 1700.0 146.0 \n",
|
||
"451 1.732138e+09 60.14964 11.09278 1825.0 144.0 \n",
|
||
"463 1.732117e+09 60.16452 11.06210 1650.0 136.0 \n",
|
||
"470 1.732143e+09 60.17324 11.10629 1350.0 137.0 \n",
|
||
"478 1.732130e+09 60.17427 11.10680 1275.0 134.0 \n",
|
||
"498 1.732137e+09 60.17379 11.10669 1325.0 134.0 \n",
|
||
"513 1.732136e+09 60.17356 11.06716 1500.0 131.0 \n",
|
||
"539 1.732126e+09 60.16182 11.06039 1700.0 140.0 \n",
|
||
"543 1.732124e+09 60.17403 11.10679 1275.0 131.0 \n",
|
||
"547 1.732130e+09 60.15738 11.05783 1800.0 148.0 \n",
|
||
"563 1.732132e+09 60.16244 11.06058 1750.0 145.0 \n",
|
||
"571 1.732128e+09 60.16858 11.10365 1425.0 NaN \n",
|
||
"575 1.732128e+09 60.15743 11.05783 1800.0 144.0 \n",
|
||
"577 1.732125e+09 60.15801 11.05813 1775.0 129.0 \n",
|
||
"591 1.732130e+09 60.15778 11.05813 1800.0 153.0 \n",
|
||
"597 1.732138e+09 60.16855 11.10358 1450.0 NaN \n",
|
||
"622 1.732123e+09 60.17253 11.10595 1325.0 124.0 \n",
|
||
"626 1.732132e+09 60.16560 11.10198 1475.0 NaN \n",
|
||
"645 1.732135e+09 60.15871 11.05872 1800.0 147.0 \n",
|
||
"664 1.732127e+09 60.17574 11.06835 1425.0 126.0 \n",
|
||
"669 1.732118e+09 60.16200 11.06049 1700.0 132.0 "
|
||
]
|
||
},
|
||
"execution_count": 28,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_to_osl"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"id": "bd5fa860",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
|
||
"columns": [
|
||
{
|
||
"name": "index",
|
||
"rawType": "int64",
|
||
"type": "integer"
|
||
},
|
||
{
|
||
"name": "file",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "icao",
|
||
"rawType": "object",
|
||
"type": "unknown"
|
||
},
|
||
{
|
||
"name": "reg",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "type",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "first_seen",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_lat",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_lon",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_alt",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "first_airspeed",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_seen",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_lat",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_lon",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_alt",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "last_airspeed",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
}
|
||
],
|
||
"ref": "45434b74-0853-47c8-91e4-1a611bad9e42",
|
||
"rows": [
|
||
[
|
||
"10",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac54.json.csv",
|
||
"45ac54",
|
||
"OY-KBT",
|
||
"A319",
|
||
"1732091290.57",
|
||
"60.19688",
|
||
"11.12006",
|
||
"1675.0",
|
||
"160.0",
|
||
"1732137575.28",
|
||
"62.6244",
|
||
"11.29775",
|
||
"22375.0",
|
||
"269.0"
|
||
],
|
||
[
|
||
"13",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47878c.json.csv",
|
||
"47878c",
|
||
"LN-DYY",
|
||
"B738",
|
||
"1732084035.12",
|
||
"60.21414",
|
||
"11.09051",
|
||
"1750.0",
|
||
null,
|
||
"1732133171.71",
|
||
"62.53912",
|
||
"11.20799",
|
||
"18925.0",
|
||
"309.0"
|
||
],
|
||
[
|
||
"25",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4784c2.json.csv",
|
||
"4784c2",
|
||
"LN-NOD",
|
||
"B738",
|
||
"1732088667.44",
|
||
"60.21922",
|
||
"11.09269",
|
||
"1975.0",
|
||
null,
|
||
"1732131574.56",
|
||
"63.14858",
|
||
"11.75579",
|
||
"39000.0",
|
||
"241.0"
|
||
],
|
||
[
|
||
"33",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a743.json.csv",
|
||
"47a743",
|
||
"LN-NGM",
|
||
"B738",
|
||
"1732088140.02",
|
||
"60.22984",
|
||
"11.09932",
|
||
"2375.0",
|
||
null,
|
||
"1732133273.27",
|
||
"60.16206",
|
||
"11.06019",
|
||
"1750.0",
|
||
"137.0"
|
||
],
|
||
[
|
||
"39",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47921c.json.csv",
|
||
"47921c",
|
||
"LN-NIO",
|
||
"B738",
|
||
"1732082281.59",
|
||
"60.20883",
|
||
"11.08748",
|
||
"1625.0",
|
||
null,
|
||
"1732134680.75",
|
||
"58.95886",
|
||
"6.24051",
|
||
"7525.0",
|
||
"241.0"
|
||
],
|
||
[
|
||
"41",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4cad42.json.csv",
|
||
"4cad42",
|
||
"EI-SIO",
|
||
"A20N",
|
||
"1732091656.96",
|
||
"60.19865",
|
||
"11.12277",
|
||
"2075.0",
|
||
"156.0",
|
||
"1732138671.45",
|
||
"51.46754",
|
||
"-0.44127",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"55",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb59.json.csv",
|
||
"4acb59",
|
||
"SE-RZY",
|
||
"A20N",
|
||
"1732113034.88",
|
||
"60.21774",
|
||
"11.09266",
|
||
"2125.0",
|
||
"150.0",
|
||
"1732133176.1",
|
||
"63.34337",
|
||
"11.80671",
|
||
"38975.0",
|
||
null
|
||
],
|
||
[
|
||
"88",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acab2.json.csv",
|
||
"4acab2",
|
||
"SE-RUR",
|
||
"A20N",
|
||
"1732105134.72",
|
||
"60.21812",
|
||
"11.09316",
|
||
"2475.0",
|
||
null,
|
||
"1732139442.71",
|
||
"60.16837",
|
||
"11.10348",
|
||
"1450.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"95",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_3946e5.json.csv",
|
||
"394600000.0",
|
||
"F-GRXF",
|
||
"A319",
|
||
"1732081620.29",
|
||
"60.21364",
|
||
"11.09013",
|
||
"1925.0",
|
||
null,
|
||
"1732137986.67",
|
||
"50.12391",
|
||
"14.29982",
|
||
"1975.0",
|
||
null
|
||
],
|
||
[
|
||
"99",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45d066.json.csv",
|
||
"45d066",
|
||
"OY-TCF",
|
||
"A321",
|
||
"1732085991.64",
|
||
"60.20224",
|
||
"11.12328",
|
||
"1800.0",
|
||
"177.0",
|
||
"1732130986.38",
|
||
"60.17184",
|
||
"11.10557",
|
||
"1300.0",
|
||
"151.0"
|
||
],
|
||
[
|
||
"135",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca09.json.csv",
|
||
"4aca09",
|
||
"SE-RPI",
|
||
"B738",
|
||
"1732084984.03",
|
||
"60.2197",
|
||
"11.16643",
|
||
"3400.0",
|
||
"175.0",
|
||
"1732133564.26",
|
||
"62.61858",
|
||
"6.73842",
|
||
"6825.0",
|
||
"201.0"
|
||
],
|
||
[
|
||
"187",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9f5.json.csv",
|
||
"4ac9f5",
|
||
"SE-ROU",
|
||
"A20N",
|
||
"1732082821.91",
|
||
"60.20862",
|
||
"11.08746",
|
||
"1450.0",
|
||
"151.0",
|
||
"1732138489.29",
|
||
"60.23483",
|
||
"6.92423",
|
||
"19650.0",
|
||
"277.0"
|
||
],
|
||
[
|
||
"188",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4a91af.json.csv",
|
||
"4a91af",
|
||
"SE-DMO",
|
||
"A21N",
|
||
"1732097605.65",
|
||
"60.21451",
|
||
"11.09079",
|
||
"1850.0",
|
||
null,
|
||
"1732147198.46",
|
||
"40.8186",
|
||
"-73.83844",
|
||
"8200.0",
|
||
null
|
||
],
|
||
[
|
||
"229",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a31a.json.csv",
|
||
"47a31a",
|
||
"LN-ENP",
|
||
"B738",
|
||
"1732100478.9",
|
||
"60.2244",
|
||
"11.09657",
|
||
"2250.0",
|
||
null,
|
||
"1732129816.38",
|
||
"59.5965",
|
||
"6.95245",
|
||
"21275.0",
|
||
"247.0"
|
||
],
|
||
[
|
||
"246",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47ba0d.json.csv",
|
||
"47ba0d",
|
||
"LN-RGO",
|
||
"A20N",
|
||
"1732082018.08",
|
||
"60.2162",
|
||
"11.09187",
|
||
"2300.0",
|
||
null,
|
||
"1732132467.55",
|
||
"62.63194",
|
||
"7.85956",
|
||
"13825.0",
|
||
"291.0"
|
||
],
|
||
[
|
||
"270",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb58.json.csv",
|
||
"4acb58",
|
||
"SE-RZX",
|
||
"A20N",
|
||
"1732086892.73",
|
||
"60.20596",
|
||
"11.08579",
|
||
"1700.0",
|
||
null,
|
||
"1732132650.56",
|
||
"60.17395",
|
||
"11.1067",
|
||
"1300.0",
|
||
"127.0"
|
||
],
|
||
[
|
||
"282",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acaa1.json.csv",
|
||
"4acaa1",
|
||
"SE-RUA",
|
||
"A20N",
|
||
"1732089752.76",
|
||
"60.19791",
|
||
"11.12101",
|
||
"1875.0",
|
||
null,
|
||
"1732133963.51",
|
||
"62.64345",
|
||
"11.33403",
|
||
"21750.0",
|
||
"278.0"
|
||
],
|
||
[
|
||
"286",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_3c65cf.json.csv",
|
||
"3c65cf",
|
||
"D-AINO",
|
||
"A20N",
|
||
"1732079196.77",
|
||
"60.20755",
|
||
"11.08672",
|
||
"1450.0",
|
||
"150.0",
|
||
"1732129666.25",
|
||
"48.35584",
|
||
"11.79734",
|
||
"0.0",
|
||
"250.0"
|
||
],
|
||
[
|
||
"291",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca06.json.csv",
|
||
"4aca06",
|
||
"SE-RPF",
|
||
"B738",
|
||
"1732113564.47",
|
||
"60.22664",
|
||
"11.0978",
|
||
"2050.0",
|
||
null,
|
||
"1732132709.65",
|
||
"63.33852",
|
||
"11.80544",
|
||
"39000.0",
|
||
null
|
||
],
|
||
[
|
||
"301",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_400a7c.json.csv",
|
||
"400a7c",
|
||
"G-DBCC",
|
||
"A319",
|
||
"1732083111.35",
|
||
"60.20879",
|
||
"11.08748",
|
||
"1850.0",
|
||
"153.0",
|
||
"1732134834.64",
|
||
"51.46768",
|
||
"-0.45986",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"303",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_503d73.json.csv",
|
||
"503d73",
|
||
"LY-WSM",
|
||
"A320",
|
||
"1732086830.17",
|
||
"60.20238",
|
||
"11.12261",
|
||
"2025.0",
|
||
null,
|
||
"1732131257.0",
|
||
"60.16946",
|
||
"11.10415",
|
||
"1400.0",
|
||
"143.0"
|
||
],
|
||
[
|
||
"311",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4841a6.json.csv",
|
||
"4841a6",
|
||
"PH-BXT",
|
||
"B739",
|
||
"1732081517.97",
|
||
"60.22444",
|
||
"11.09648",
|
||
"2075.0",
|
||
null,
|
||
"1732143355.96",
|
||
"37.97447",
|
||
"23.96925",
|
||
"1175.0",
|
||
null
|
||
],
|
||
[
|
||
"315",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acaa6.json.csv",
|
||
"4acaa6",
|
||
"SE-RUF",
|
||
"A20N",
|
||
"1732086734.58",
|
||
"60.20869",
|
||
"11.08757",
|
||
"2100.0",
|
||
null,
|
||
"1732135363.38",
|
||
"58.91061",
|
||
"5.41434",
|
||
"2500.0",
|
||
"179.0"
|
||
],
|
||
[
|
||
"317",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47ba78.json.csv",
|
||
"47ba78",
|
||
"LN-RGM",
|
||
"A20N",
|
||
"1732078775.06",
|
||
"60.20837",
|
||
"11.08729",
|
||
"1625.0",
|
||
"151.0",
|
||
"1732138160.45",
|
||
"58.96225",
|
||
"6.26633",
|
||
"6875.0",
|
||
"238.0"
|
||
],
|
||
[
|
||
"327",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_3c65c7.json.csv",
|
||
"3c65c7",
|
||
"D-AING",
|
||
"A20N",
|
||
"1732080754.85",
|
||
"60.21094",
|
||
"11.08874",
|
||
"1575.0",
|
||
null,
|
||
"1732132330.21",
|
||
"50.04389",
|
||
"8.55907",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"332",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9e7.json.csv",
|
||
"4ac9e7",
|
||
"SE-ROG",
|
||
"A20N",
|
||
"1732082389.27",
|
||
"60.21183",
|
||
"11.08864",
|
||
"2600.0",
|
||
null,
|
||
"1732131921.96",
|
||
"62.66721",
|
||
"6.60431",
|
||
"5475.0",
|
||
"186.0"
|
||
],
|
||
[
|
||
"360",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4792d3.json.csv",
|
||
"4792d3",
|
||
"LN-NIL",
|
||
"B738",
|
||
"1732084521.58",
|
||
"60.2281",
|
||
"11.09865",
|
||
"2150.0",
|
||
null,
|
||
"1732139460.52",
|
||
"60.31707",
|
||
"24.97151",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"390",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_503d6f.json.csv",
|
||
"503d6f",
|
||
"LY-HMD",
|
||
"A320",
|
||
"1732083419.16",
|
||
"60.2075",
|
||
"11.08687",
|
||
"1475.0",
|
||
"170.0",
|
||
"1732141447.81",
|
||
"60.16979",
|
||
"11.10433",
|
||
"1425.0",
|
||
"133.0"
|
||
],
|
||
[
|
||
"394",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca07.json.csv",
|
||
"4aca07",
|
||
"SE-RPG",
|
||
"B738",
|
||
"1732088366.44",
|
||
"60.2173",
|
||
"11.09231",
|
||
"1600.0",
|
||
null,
|
||
"1732142109.34",
|
||
"60.14796",
|
||
"11.09178",
|
||
"1875.0",
|
||
"149.0"
|
||
],
|
||
[
|
||
"411",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4ac9f0.json.csv",
|
||
"4ac9f0",
|
||
"SE-ROP",
|
||
"A20N",
|
||
"1732085901.65",
|
||
"60.20737",
|
||
"11.08663",
|
||
"1450.0",
|
||
"152.0",
|
||
"1732131718.86",
|
||
"60.17305",
|
||
"11.1062",
|
||
"1325.0",
|
||
"128.0"
|
||
],
|
||
[
|
||
"420",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac52.json.csv",
|
||
"45ac52",
|
||
"OY-KBR",
|
||
"A319",
|
||
"1732091550.91",
|
||
"60.19656",
|
||
"11.11983",
|
||
"1700.0",
|
||
null,
|
||
"1732129933.53",
|
||
"60.17249",
|
||
"11.10585",
|
||
"1325.0",
|
||
"124.0"
|
||
],
|
||
[
|
||
"463",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_45ac33.json.csv",
|
||
"45ac33",
|
||
"OY-KAS",
|
||
"A320",
|
||
"1732108648.67",
|
||
"60.2082",
|
||
"11.08707",
|
||
"1475.0",
|
||
"163.0",
|
||
"1732116667.35",
|
||
"60.16452",
|
||
"11.0621",
|
||
"1650.0",
|
||
"136.0"
|
||
],
|
||
[
|
||
"478",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acab0.json.csv",
|
||
"4acab0",
|
||
"SE-RUP",
|
||
"A20N",
|
||
"1732086361.74",
|
||
"60.19926",
|
||
"11.12186",
|
||
"2025.0",
|
||
null,
|
||
"1732130383.51",
|
||
"60.17427",
|
||
"11.1068",
|
||
"1275.0",
|
||
"134.0"
|
||
],
|
||
[
|
||
"489",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acaa2.json.csv",
|
||
"4acaa2",
|
||
"SE-RUB",
|
||
"A20N",
|
||
"1732088184.26",
|
||
"60.21546",
|
||
"11.09119",
|
||
"1900.0",
|
||
"151.0",
|
||
"1732136167.93",
|
||
"69.83022",
|
||
"19.78782",
|
||
"17000.0",
|
||
null
|
||
],
|
||
[
|
||
"563",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca05.json.csv",
|
||
"4aca05",
|
||
"SE-RPE",
|
||
"B738",
|
||
"1732102533.23",
|
||
"60.22924",
|
||
"11.09972",
|
||
"2275.0",
|
||
"173.0",
|
||
"1732132491.85",
|
||
"60.16244",
|
||
"11.06058",
|
||
"1750.0",
|
||
"145.0"
|
||
],
|
||
[
|
||
"577",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4780bf.json.csv",
|
||
"4780bf",
|
||
"LN-RPJ",
|
||
"B737",
|
||
"1732087550.32",
|
||
"60.21672",
|
||
"11.09197",
|
||
"1550.0",
|
||
null,
|
||
"1732125139.28",
|
||
"60.15801",
|
||
"11.05813",
|
||
"1775.0",
|
||
"129.0"
|
||
],
|
||
[
|
||
"582",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4aca08.json.csv",
|
||
"4aca08",
|
||
"SE-RPH",
|
||
"B738",
|
||
"1732082510.95",
|
||
"60.21807",
|
||
"11.09256",
|
||
"2175.0",
|
||
"161.0",
|
||
"1732135191.06",
|
||
"60.20879",
|
||
"7.12937",
|
||
"19175.0",
|
||
"274.0"
|
||
],
|
||
[
|
||
"663",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47875a.json.csv",
|
||
"47875a",
|
||
"LN-DYT",
|
||
"B738",
|
||
"1732085032.27",
|
||
"60.22142",
|
||
"11.09449",
|
||
"2250.0",
|
||
null,
|
||
"1732101096.07",
|
||
"52.70236",
|
||
"19.81751",
|
||
"15200.0",
|
||
"249.0"
|
||
],
|
||
[
|
||
"664",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_4acb5a.json.csv",
|
||
"4acb5a",
|
||
"SE-RZZ",
|
||
"A20N",
|
||
"1732086263.82",
|
||
"60.20526",
|
||
"11.08549",
|
||
"1825.0",
|
||
"154.0",
|
||
"1732127169.11",
|
||
"60.17574",
|
||
"11.06835",
|
||
"1425.0",
|
||
"126.0"
|
||
],
|
||
[
|
||
"668",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a039.json.csv",
|
||
"47a039",
|
||
"LN-NHA",
|
||
"B738",
|
||
"1732091762.9",
|
||
"60.21744",
|
||
"11.09269",
|
||
"2150.0",
|
||
null,
|
||
"1732135005.43",
|
||
"69.67842",
|
||
"18.91054",
|
||
"0.0",
|
||
null
|
||
],
|
||
[
|
||
"682",
|
||
"/home/lars/Documents/Studium/UiO/data_analysis/project3/data/csv/v2024.11.20-planes-readsb-prod-0/trace_full_47a518.json.csv",
|
||
"47a518",
|
||
"LN-ENL",
|
||
"B738",
|
||
"1732082934.31",
|
||
"60.21794",
|
||
"11.09269",
|
||
"2025.0",
|
||
null,
|
||
"1732130607.46",
|
||
"62.92657",
|
||
"11.70176",
|
||
"39000.0",
|
||
"236.0"
|
||
]
|
||
],
|
||
"shape": {
|
||
"columns": 14,
|
||
"rows": 41
|
||
}
|
||
},
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>file</th>\n",
|
||
" <th>icao</th>\n",
|
||
" <th>reg</th>\n",
|
||
" <th>type</th>\n",
|
||
" <th>first_seen</th>\n",
|
||
" <th>first_lat</th>\n",
|
||
" <th>first_lon</th>\n",
|
||
" <th>first_alt</th>\n",
|
||
" <th>first_airspeed</th>\n",
|
||
" <th>last_seen</th>\n",
|
||
" <th>last_lat</th>\n",
|
||
" <th>last_lon</th>\n",
|
||
" <th>last_alt</th>\n",
|
||
" <th>last_airspeed</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac54</td>\n",
|
||
" <td>OY-KBT</td>\n",
|
||
" <td>A319</td>\n",
|
||
" <td>1.732091e+09</td>\n",
|
||
" <td>60.19688</td>\n",
|
||
" <td>11.12006</td>\n",
|
||
" <td>1675.0</td>\n",
|
||
" <td>160.0</td>\n",
|
||
" <td>1.732138e+09</td>\n",
|
||
" <td>62.62440</td>\n",
|
||
" <td>11.29775</td>\n",
|
||
" <td>22375.0</td>\n",
|
||
" <td>269.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47878c</td>\n",
|
||
" <td>LN-DYY</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732084e+09</td>\n",
|
||
" <td>60.21414</td>\n",
|
||
" <td>11.09051</td>\n",
|
||
" <td>1750.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>62.53912</td>\n",
|
||
" <td>11.20799</td>\n",
|
||
" <td>18925.0</td>\n",
|
||
" <td>309.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4784c2</td>\n",
|
||
" <td>LN-NOD</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732089e+09</td>\n",
|
||
" <td>60.21922</td>\n",
|
||
" <td>11.09269</td>\n",
|
||
" <td>1975.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>63.14858</td>\n",
|
||
" <td>11.75579</td>\n",
|
||
" <td>39000.0</td>\n",
|
||
" <td>241.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>33</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a743</td>\n",
|
||
" <td>LN-NGM</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.22984</td>\n",
|
||
" <td>11.09932</td>\n",
|
||
" <td>2375.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>60.16206</td>\n",
|
||
" <td>11.06019</td>\n",
|
||
" <td>1750.0</td>\n",
|
||
" <td>137.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>39</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47921c</td>\n",
|
||
" <td>LN-NIO</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>60.20883</td>\n",
|
||
" <td>11.08748</td>\n",
|
||
" <td>1625.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732135e+09</td>\n",
|
||
" <td>58.95886</td>\n",
|
||
" <td>6.24051</td>\n",
|
||
" <td>7525.0</td>\n",
|
||
" <td>241.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>41</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4cad42</td>\n",
|
||
" <td>EI-SIO</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732092e+09</td>\n",
|
||
" <td>60.19865</td>\n",
|
||
" <td>11.12277</td>\n",
|
||
" <td>2075.0</td>\n",
|
||
" <td>156.0</td>\n",
|
||
" <td>1.732139e+09</td>\n",
|
||
" <td>51.46754</td>\n",
|
||
" <td>-0.44127</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>55</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb59</td>\n",
|
||
" <td>SE-RZY</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732113e+09</td>\n",
|
||
" <td>60.21774</td>\n",
|
||
" <td>11.09266</td>\n",
|
||
" <td>2125.0</td>\n",
|
||
" <td>150.0</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>63.34337</td>\n",
|
||
" <td>11.80671</td>\n",
|
||
" <td>38975.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>88</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acab2</td>\n",
|
||
" <td>SE-RUR</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732105e+09</td>\n",
|
||
" <td>60.21812</td>\n",
|
||
" <td>11.09316</td>\n",
|
||
" <td>2475.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732139e+09</td>\n",
|
||
" <td>60.16837</td>\n",
|
||
" <td>11.10348</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>95</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>394600000.0</td>\n",
|
||
" <td>F-GRXF</td>\n",
|
||
" <td>A319</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>60.21364</td>\n",
|
||
" <td>11.09013</td>\n",
|
||
" <td>1925.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732138e+09</td>\n",
|
||
" <td>50.12391</td>\n",
|
||
" <td>14.29982</td>\n",
|
||
" <td>1975.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45d066</td>\n",
|
||
" <td>OY-TCF</td>\n",
|
||
" <td>A321</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.20224</td>\n",
|
||
" <td>11.12328</td>\n",
|
||
" <td>1800.0</td>\n",
|
||
" <td>177.0</td>\n",
|
||
" <td>1.732131e+09</td>\n",
|
||
" <td>60.17184</td>\n",
|
||
" <td>11.10557</td>\n",
|
||
" <td>1300.0</td>\n",
|
||
" <td>151.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>135</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca09</td>\n",
|
||
" <td>SE-RPI</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732085e+09</td>\n",
|
||
" <td>60.21970</td>\n",
|
||
" <td>11.16643</td>\n",
|
||
" <td>3400.0</td>\n",
|
||
" <td>175.0</td>\n",
|
||
" <td>1.732134e+09</td>\n",
|
||
" <td>62.61858</td>\n",
|
||
" <td>6.73842</td>\n",
|
||
" <td>6825.0</td>\n",
|
||
" <td>201.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>187</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9f5</td>\n",
|
||
" <td>SE-ROU</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>60.20862</td>\n",
|
||
" <td>11.08746</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>151.0</td>\n",
|
||
" <td>1.732138e+09</td>\n",
|
||
" <td>60.23483</td>\n",
|
||
" <td>6.92423</td>\n",
|
||
" <td>19650.0</td>\n",
|
||
" <td>277.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>188</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4a91af</td>\n",
|
||
" <td>SE-DMO</td>\n",
|
||
" <td>A21N</td>\n",
|
||
" <td>1.732098e+09</td>\n",
|
||
" <td>60.21451</td>\n",
|
||
" <td>11.09079</td>\n",
|
||
" <td>1850.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732147e+09</td>\n",
|
||
" <td>40.81860</td>\n",
|
||
" <td>-73.83844</td>\n",
|
||
" <td>8200.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>229</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a31a</td>\n",
|
||
" <td>LN-ENP</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732100e+09</td>\n",
|
||
" <td>60.22440</td>\n",
|
||
" <td>11.09657</td>\n",
|
||
" <td>2250.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>59.59650</td>\n",
|
||
" <td>6.95245</td>\n",
|
||
" <td>21275.0</td>\n",
|
||
" <td>247.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>246</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47ba0d</td>\n",
|
||
" <td>LN-RGO</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>60.21620</td>\n",
|
||
" <td>11.09187</td>\n",
|
||
" <td>2300.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>62.63194</td>\n",
|
||
" <td>7.85956</td>\n",
|
||
" <td>13825.0</td>\n",
|
||
" <td>291.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>270</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb58</td>\n",
|
||
" <td>SE-RZX</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>60.20596</td>\n",
|
||
" <td>11.08579</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>60.17395</td>\n",
|
||
" <td>11.10670</td>\n",
|
||
" <td>1300.0</td>\n",
|
||
" <td>127.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>282</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acaa1</td>\n",
|
||
" <td>SE-RUA</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732090e+09</td>\n",
|
||
" <td>60.19791</td>\n",
|
||
" <td>11.12101</td>\n",
|
||
" <td>1875.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732134e+09</td>\n",
|
||
" <td>62.64345</td>\n",
|
||
" <td>11.33403</td>\n",
|
||
" <td>21750.0</td>\n",
|
||
" <td>278.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>286</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>3c65cf</td>\n",
|
||
" <td>D-AINO</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732079e+09</td>\n",
|
||
" <td>60.20755</td>\n",
|
||
" <td>11.08672</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>150.0</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>48.35584</td>\n",
|
||
" <td>11.79734</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>250.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>291</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca06</td>\n",
|
||
" <td>SE-RPF</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732114e+09</td>\n",
|
||
" <td>60.22664</td>\n",
|
||
" <td>11.09780</td>\n",
|
||
" <td>2050.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732133e+09</td>\n",
|
||
" <td>63.33852</td>\n",
|
||
" <td>11.80544</td>\n",
|
||
" <td>39000.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>301</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>400a7c</td>\n",
|
||
" <td>G-DBCC</td>\n",
|
||
" <td>A319</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>60.20879</td>\n",
|
||
" <td>11.08748</td>\n",
|
||
" <td>1850.0</td>\n",
|
||
" <td>153.0</td>\n",
|
||
" <td>1.732135e+09</td>\n",
|
||
" <td>51.46768</td>\n",
|
||
" <td>-0.45986</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>303</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>503d73</td>\n",
|
||
" <td>LY-WSM</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>60.20238</td>\n",
|
||
" <td>11.12261</td>\n",
|
||
" <td>2025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732131e+09</td>\n",
|
||
" <td>60.16946</td>\n",
|
||
" <td>11.10415</td>\n",
|
||
" <td>1400.0</td>\n",
|
||
" <td>143.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>311</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4841a6</td>\n",
|
||
" <td>PH-BXT</td>\n",
|
||
" <td>B739</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>60.22444</td>\n",
|
||
" <td>11.09648</td>\n",
|
||
" <td>2075.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732143e+09</td>\n",
|
||
" <td>37.97447</td>\n",
|
||
" <td>23.96925</td>\n",
|
||
" <td>1175.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>315</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acaa6</td>\n",
|
||
" <td>SE-RUF</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732087e+09</td>\n",
|
||
" <td>60.20869</td>\n",
|
||
" <td>11.08757</td>\n",
|
||
" <td>2100.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732135e+09</td>\n",
|
||
" <td>58.91061</td>\n",
|
||
" <td>5.41434</td>\n",
|
||
" <td>2500.0</td>\n",
|
||
" <td>179.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>317</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47ba78</td>\n",
|
||
" <td>LN-RGM</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732079e+09</td>\n",
|
||
" <td>60.20837</td>\n",
|
||
" <td>11.08729</td>\n",
|
||
" <td>1625.0</td>\n",
|
||
" <td>151.0</td>\n",
|
||
" <td>1.732138e+09</td>\n",
|
||
" <td>58.96225</td>\n",
|
||
" <td>6.26633</td>\n",
|
||
" <td>6875.0</td>\n",
|
||
" <td>238.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>327</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>3c65c7</td>\n",
|
||
" <td>D-AING</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732081e+09</td>\n",
|
||
" <td>60.21094</td>\n",
|
||
" <td>11.08874</td>\n",
|
||
" <td>1575.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>50.04389</td>\n",
|
||
" <td>8.55907</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>332</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9e7</td>\n",
|
||
" <td>SE-ROG</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732082e+09</td>\n",
|
||
" <td>60.21183</td>\n",
|
||
" <td>11.08864</td>\n",
|
||
" <td>2600.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>62.66721</td>\n",
|
||
" <td>6.60431</td>\n",
|
||
" <td>5475.0</td>\n",
|
||
" <td>186.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>360</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4792d3</td>\n",
|
||
" <td>LN-NIL</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732085e+09</td>\n",
|
||
" <td>60.22810</td>\n",
|
||
" <td>11.09865</td>\n",
|
||
" <td>2150.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732139e+09</td>\n",
|
||
" <td>60.31707</td>\n",
|
||
" <td>24.97151</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>390</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>503d6f</td>\n",
|
||
" <td>LY-HMD</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>60.20750</td>\n",
|
||
" <td>11.08687</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>170.0</td>\n",
|
||
" <td>1.732141e+09</td>\n",
|
||
" <td>60.16979</td>\n",
|
||
" <td>11.10433</td>\n",
|
||
" <td>1425.0</td>\n",
|
||
" <td>133.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>394</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca07</td>\n",
|
||
" <td>SE-RPG</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.21730</td>\n",
|
||
" <td>11.09231</td>\n",
|
||
" <td>1600.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732142e+09</td>\n",
|
||
" <td>60.14796</td>\n",
|
||
" <td>11.09178</td>\n",
|
||
" <td>1875.0</td>\n",
|
||
" <td>149.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>411</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4ac9f0</td>\n",
|
||
" <td>SE-ROP</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.20737</td>\n",
|
||
" <td>11.08663</td>\n",
|
||
" <td>1450.0</td>\n",
|
||
" <td>152.0</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>60.17305</td>\n",
|
||
" <td>11.10620</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>128.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>420</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac52</td>\n",
|
||
" <td>OY-KBR</td>\n",
|
||
" <td>A319</td>\n",
|
||
" <td>1.732092e+09</td>\n",
|
||
" <td>60.19656</td>\n",
|
||
" <td>11.11983</td>\n",
|
||
" <td>1700.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.17249</td>\n",
|
||
" <td>11.10585</td>\n",
|
||
" <td>1325.0</td>\n",
|
||
" <td>124.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>463</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>45ac33</td>\n",
|
||
" <td>OY-KAS</td>\n",
|
||
" <td>A320</td>\n",
|
||
" <td>1.732109e+09</td>\n",
|
||
" <td>60.20820</td>\n",
|
||
" <td>11.08707</td>\n",
|
||
" <td>1475.0</td>\n",
|
||
" <td>163.0</td>\n",
|
||
" <td>1.732117e+09</td>\n",
|
||
" <td>60.16452</td>\n",
|
||
" <td>11.06210</td>\n",
|
||
" <td>1650.0</td>\n",
|
||
" <td>136.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>478</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acab0</td>\n",
|
||
" <td>SE-RUP</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.19926</td>\n",
|
||
" <td>11.12186</td>\n",
|
||
" <td>2025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732130e+09</td>\n",
|
||
" <td>60.17427</td>\n",
|
||
" <td>11.10680</td>\n",
|
||
" <td>1275.0</td>\n",
|
||
" <td>134.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>489</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acaa2</td>\n",
|
||
" <td>SE-RUB</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.21546</td>\n",
|
||
" <td>11.09119</td>\n",
|
||
" <td>1900.0</td>\n",
|
||
" <td>151.0</td>\n",
|
||
" <td>1.732136e+09</td>\n",
|
||
" <td>69.83022</td>\n",
|
||
" <td>19.78782</td>\n",
|
||
" <td>17000.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>563</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca05</td>\n",
|
||
" <td>SE-RPE</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732103e+09</td>\n",
|
||
" <td>60.22924</td>\n",
|
||
" <td>11.09972</td>\n",
|
||
" <td>2275.0</td>\n",
|
||
" <td>173.0</td>\n",
|
||
" <td>1.732132e+09</td>\n",
|
||
" <td>60.16244</td>\n",
|
||
" <td>11.06058</td>\n",
|
||
" <td>1750.0</td>\n",
|
||
" <td>145.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>577</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4780bf</td>\n",
|
||
" <td>LN-RPJ</td>\n",
|
||
" <td>B737</td>\n",
|
||
" <td>1.732088e+09</td>\n",
|
||
" <td>60.21672</td>\n",
|
||
" <td>11.09197</td>\n",
|
||
" <td>1550.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732125e+09</td>\n",
|
||
" <td>60.15801</td>\n",
|
||
" <td>11.05813</td>\n",
|
||
" <td>1775.0</td>\n",
|
||
" <td>129.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>582</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4aca08</td>\n",
|
||
" <td>SE-RPH</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>60.21807</td>\n",
|
||
" <td>11.09256</td>\n",
|
||
" <td>2175.0</td>\n",
|
||
" <td>161.0</td>\n",
|
||
" <td>1.732135e+09</td>\n",
|
||
" <td>60.20879</td>\n",
|
||
" <td>7.12937</td>\n",
|
||
" <td>19175.0</td>\n",
|
||
" <td>274.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>663</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47875a</td>\n",
|
||
" <td>LN-DYT</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732085e+09</td>\n",
|
||
" <td>60.22142</td>\n",
|
||
" <td>11.09449</td>\n",
|
||
" <td>2250.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732101e+09</td>\n",
|
||
" <td>52.70236</td>\n",
|
||
" <td>19.81751</td>\n",
|
||
" <td>15200.0</td>\n",
|
||
" <td>249.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>664</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>4acb5a</td>\n",
|
||
" <td>SE-RZZ</td>\n",
|
||
" <td>A20N</td>\n",
|
||
" <td>1.732086e+09</td>\n",
|
||
" <td>60.20526</td>\n",
|
||
" <td>11.08549</td>\n",
|
||
" <td>1825.0</td>\n",
|
||
" <td>154.0</td>\n",
|
||
" <td>1.732127e+09</td>\n",
|
||
" <td>60.17574</td>\n",
|
||
" <td>11.06835</td>\n",
|
||
" <td>1425.0</td>\n",
|
||
" <td>126.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>668</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a039</td>\n",
|
||
" <td>LN-NHA</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732092e+09</td>\n",
|
||
" <td>60.21744</td>\n",
|
||
" <td>11.09269</td>\n",
|
||
" <td>2150.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732135e+09</td>\n",
|
||
" <td>69.67842</td>\n",
|
||
" <td>18.91054</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>682</th>\n",
|
||
" <td>/home/lars/Documents/Studium/UiO/data_analysis...</td>\n",
|
||
" <td>47a518</td>\n",
|
||
" <td>LN-ENL</td>\n",
|
||
" <td>B738</td>\n",
|
||
" <td>1.732083e+09</td>\n",
|
||
" <td>60.21794</td>\n",
|
||
" <td>11.09269</td>\n",
|
||
" <td>2025.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.732131e+09</td>\n",
|
||
" <td>62.92657</td>\n",
|
||
" <td>11.70176</td>\n",
|
||
" <td>39000.0</td>\n",
|
||
" <td>236.0</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" file icao reg \\\n",
|
||
"10 /home/lars/Documents/Studium/UiO/data_analysis... 45ac54 OY-KBT \n",
|
||
"13 /home/lars/Documents/Studium/UiO/data_analysis... 47878c LN-DYY \n",
|
||
"25 /home/lars/Documents/Studium/UiO/data_analysis... 4784c2 LN-NOD \n",
|
||
"33 /home/lars/Documents/Studium/UiO/data_analysis... 47a743 LN-NGM \n",
|
||
"39 /home/lars/Documents/Studium/UiO/data_analysis... 47921c LN-NIO \n",
|
||
"41 /home/lars/Documents/Studium/UiO/data_analysis... 4cad42 EI-SIO \n",
|
||
"55 /home/lars/Documents/Studium/UiO/data_analysis... 4acb59 SE-RZY \n",
|
||
"88 /home/lars/Documents/Studium/UiO/data_analysis... 4acab2 SE-RUR \n",
|
||
"95 /home/lars/Documents/Studium/UiO/data_analysis... 394600000.0 F-GRXF \n",
|
||
"99 /home/lars/Documents/Studium/UiO/data_analysis... 45d066 OY-TCF \n",
|
||
"135 /home/lars/Documents/Studium/UiO/data_analysis... 4aca09 SE-RPI \n",
|
||
"187 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9f5 SE-ROU \n",
|
||
"188 /home/lars/Documents/Studium/UiO/data_analysis... 4a91af SE-DMO \n",
|
||
"229 /home/lars/Documents/Studium/UiO/data_analysis... 47a31a LN-ENP \n",
|
||
"246 /home/lars/Documents/Studium/UiO/data_analysis... 47ba0d LN-RGO \n",
|
||
"270 /home/lars/Documents/Studium/UiO/data_analysis... 4acb58 SE-RZX \n",
|
||
"282 /home/lars/Documents/Studium/UiO/data_analysis... 4acaa1 SE-RUA \n",
|
||
"286 /home/lars/Documents/Studium/UiO/data_analysis... 3c65cf D-AINO \n",
|
||
"291 /home/lars/Documents/Studium/UiO/data_analysis... 4aca06 SE-RPF \n",
|
||
"301 /home/lars/Documents/Studium/UiO/data_analysis... 400a7c G-DBCC \n",
|
||
"303 /home/lars/Documents/Studium/UiO/data_analysis... 503d73 LY-WSM \n",
|
||
"311 /home/lars/Documents/Studium/UiO/data_analysis... 4841a6 PH-BXT \n",
|
||
"315 /home/lars/Documents/Studium/UiO/data_analysis... 4acaa6 SE-RUF \n",
|
||
"317 /home/lars/Documents/Studium/UiO/data_analysis... 47ba78 LN-RGM \n",
|
||
"327 /home/lars/Documents/Studium/UiO/data_analysis... 3c65c7 D-AING \n",
|
||
"332 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9e7 SE-ROG \n",
|
||
"360 /home/lars/Documents/Studium/UiO/data_analysis... 4792d3 LN-NIL \n",
|
||
"390 /home/lars/Documents/Studium/UiO/data_analysis... 503d6f LY-HMD \n",
|
||
"394 /home/lars/Documents/Studium/UiO/data_analysis... 4aca07 SE-RPG \n",
|
||
"411 /home/lars/Documents/Studium/UiO/data_analysis... 4ac9f0 SE-ROP \n",
|
||
"420 /home/lars/Documents/Studium/UiO/data_analysis... 45ac52 OY-KBR \n",
|
||
"463 /home/lars/Documents/Studium/UiO/data_analysis... 45ac33 OY-KAS \n",
|
||
"478 /home/lars/Documents/Studium/UiO/data_analysis... 4acab0 SE-RUP \n",
|
||
"489 /home/lars/Documents/Studium/UiO/data_analysis... 4acaa2 SE-RUB \n",
|
||
"563 /home/lars/Documents/Studium/UiO/data_analysis... 4aca05 SE-RPE \n",
|
||
"577 /home/lars/Documents/Studium/UiO/data_analysis... 4780bf LN-RPJ \n",
|
||
"582 /home/lars/Documents/Studium/UiO/data_analysis... 4aca08 SE-RPH \n",
|
||
"663 /home/lars/Documents/Studium/UiO/data_analysis... 47875a LN-DYT \n",
|
||
"664 /home/lars/Documents/Studium/UiO/data_analysis... 4acb5a SE-RZZ \n",
|
||
"668 /home/lars/Documents/Studium/UiO/data_analysis... 47a039 LN-NHA \n",
|
||
"682 /home/lars/Documents/Studium/UiO/data_analysis... 47a518 LN-ENL \n",
|
||
"\n",
|
||
" type first_seen first_lat first_lon first_alt first_airspeed \\\n",
|
||
"10 A319 1.732091e+09 60.19688 11.12006 1675.0 160.0 \n",
|
||
"13 B738 1.732084e+09 60.21414 11.09051 1750.0 NaN \n",
|
||
"25 B738 1.732089e+09 60.21922 11.09269 1975.0 NaN \n",
|
||
"33 B738 1.732088e+09 60.22984 11.09932 2375.0 NaN \n",
|
||
"39 B738 1.732082e+09 60.20883 11.08748 1625.0 NaN \n",
|
||
"41 A20N 1.732092e+09 60.19865 11.12277 2075.0 156.0 \n",
|
||
"55 A20N 1.732113e+09 60.21774 11.09266 2125.0 150.0 \n",
|
||
"88 A20N 1.732105e+09 60.21812 11.09316 2475.0 NaN \n",
|
||
"95 A319 1.732082e+09 60.21364 11.09013 1925.0 NaN \n",
|
||
"99 A321 1.732086e+09 60.20224 11.12328 1800.0 177.0 \n",
|
||
"135 B738 1.732085e+09 60.21970 11.16643 3400.0 175.0 \n",
|
||
"187 A20N 1.732083e+09 60.20862 11.08746 1450.0 151.0 \n",
|
||
"188 A21N 1.732098e+09 60.21451 11.09079 1850.0 NaN \n",
|
||
"229 B738 1.732100e+09 60.22440 11.09657 2250.0 NaN \n",
|
||
"246 A20N 1.732082e+09 60.21620 11.09187 2300.0 NaN \n",
|
||
"270 A20N 1.732087e+09 60.20596 11.08579 1700.0 NaN \n",
|
||
"282 A20N 1.732090e+09 60.19791 11.12101 1875.0 NaN \n",
|
||
"286 A20N 1.732079e+09 60.20755 11.08672 1450.0 150.0 \n",
|
||
"291 B738 1.732114e+09 60.22664 11.09780 2050.0 NaN \n",
|
||
"301 A319 1.732083e+09 60.20879 11.08748 1850.0 153.0 \n",
|
||
"303 A320 1.732087e+09 60.20238 11.12261 2025.0 NaN \n",
|
||
"311 B739 1.732082e+09 60.22444 11.09648 2075.0 NaN \n",
|
||
"315 A20N 1.732087e+09 60.20869 11.08757 2100.0 NaN \n",
|
||
"317 A20N 1.732079e+09 60.20837 11.08729 1625.0 151.0 \n",
|
||
"327 A20N 1.732081e+09 60.21094 11.08874 1575.0 NaN \n",
|
||
"332 A20N 1.732082e+09 60.21183 11.08864 2600.0 NaN \n",
|
||
"360 B738 1.732085e+09 60.22810 11.09865 2150.0 NaN \n",
|
||
"390 A320 1.732083e+09 60.20750 11.08687 1475.0 170.0 \n",
|
||
"394 B738 1.732088e+09 60.21730 11.09231 1600.0 NaN \n",
|
||
"411 A20N 1.732086e+09 60.20737 11.08663 1450.0 152.0 \n",
|
||
"420 A319 1.732092e+09 60.19656 11.11983 1700.0 NaN \n",
|
||
"463 A320 1.732109e+09 60.20820 11.08707 1475.0 163.0 \n",
|
||
"478 A20N 1.732086e+09 60.19926 11.12186 2025.0 NaN \n",
|
||
"489 A20N 1.732088e+09 60.21546 11.09119 1900.0 151.0 \n",
|
||
"563 B738 1.732103e+09 60.22924 11.09972 2275.0 173.0 \n",
|
||
"577 B737 1.732088e+09 60.21672 11.09197 1550.0 NaN \n",
|
||
"582 B738 1.732083e+09 60.21807 11.09256 2175.0 161.0 \n",
|
||
"663 B738 1.732085e+09 60.22142 11.09449 2250.0 NaN \n",
|
||
"664 A20N 1.732086e+09 60.20526 11.08549 1825.0 154.0 \n",
|
||
"668 B738 1.732092e+09 60.21744 11.09269 2150.0 NaN \n",
|
||
"682 B738 1.732083e+09 60.21794 11.09269 2025.0 NaN \n",
|
||
"\n",
|
||
" last_seen last_lat last_lon last_alt last_airspeed \n",
|
||
"10 1.732138e+09 62.62440 11.29775 22375.0 269.0 \n",
|
||
"13 1.732133e+09 62.53912 11.20799 18925.0 309.0 \n",
|
||
"25 1.732132e+09 63.14858 11.75579 39000.0 241.0 \n",
|
||
"33 1.732133e+09 60.16206 11.06019 1750.0 137.0 \n",
|
||
"39 1.732135e+09 58.95886 6.24051 7525.0 241.0 \n",
|
||
"41 1.732139e+09 51.46754 -0.44127 0.0 NaN \n",
|
||
"55 1.732133e+09 63.34337 11.80671 38975.0 NaN \n",
|
||
"88 1.732139e+09 60.16837 11.10348 1450.0 129.0 \n",
|
||
"95 1.732138e+09 50.12391 14.29982 1975.0 NaN \n",
|
||
"99 1.732131e+09 60.17184 11.10557 1300.0 151.0 \n",
|
||
"135 1.732134e+09 62.61858 6.73842 6825.0 201.0 \n",
|
||
"187 1.732138e+09 60.23483 6.92423 19650.0 277.0 \n",
|
||
"188 1.732147e+09 40.81860 -73.83844 8200.0 NaN \n",
|
||
"229 1.732130e+09 59.59650 6.95245 21275.0 247.0 \n",
|
||
"246 1.732132e+09 62.63194 7.85956 13825.0 291.0 \n",
|
||
"270 1.732133e+09 60.17395 11.10670 1300.0 127.0 \n",
|
||
"282 1.732134e+09 62.64345 11.33403 21750.0 278.0 \n",
|
||
"286 1.732130e+09 48.35584 11.79734 0.0 250.0 \n",
|
||
"291 1.732133e+09 63.33852 11.80544 39000.0 NaN \n",
|
||
"301 1.732135e+09 51.46768 -0.45986 0.0 NaN \n",
|
||
"303 1.732131e+09 60.16946 11.10415 1400.0 143.0 \n",
|
||
"311 1.732143e+09 37.97447 23.96925 1175.0 NaN \n",
|
||
"315 1.732135e+09 58.91061 5.41434 2500.0 179.0 \n",
|
||
"317 1.732138e+09 58.96225 6.26633 6875.0 238.0 \n",
|
||
"327 1.732132e+09 50.04389 8.55907 0.0 NaN \n",
|
||
"332 1.732132e+09 62.66721 6.60431 5475.0 186.0 \n",
|
||
"360 1.732139e+09 60.31707 24.97151 0.0 NaN \n",
|
||
"390 1.732141e+09 60.16979 11.10433 1425.0 133.0 \n",
|
||
"394 1.732142e+09 60.14796 11.09178 1875.0 149.0 \n",
|
||
"411 1.732132e+09 60.17305 11.10620 1325.0 128.0 \n",
|
||
"420 1.732130e+09 60.17249 11.10585 1325.0 124.0 \n",
|
||
"463 1.732117e+09 60.16452 11.06210 1650.0 136.0 \n",
|
||
"478 1.732130e+09 60.17427 11.10680 1275.0 134.0 \n",
|
||
"489 1.732136e+09 69.83022 19.78782 17000.0 NaN \n",
|
||
"563 1.732132e+09 60.16244 11.06058 1750.0 145.0 \n",
|
||
"577 1.732125e+09 60.15801 11.05813 1775.0 129.0 \n",
|
||
"582 1.732135e+09 60.20879 7.12937 19175.0 274.0 \n",
|
||
"663 1.732101e+09 52.70236 19.81751 15200.0 249.0 \n",
|
||
"664 1.732127e+09 60.17574 11.06835 1425.0 126.0 \n",
|
||
"668 1.732135e+09 69.67842 18.91054 0.0 NaN \n",
|
||
"682 1.732131e+09 62.92657 11.70176 39000.0 236.0 "
|
||
]
|
||
},
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_from_osl"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"id": "697babca",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.collections.PathCollection at 0x7fa6eaad8190>"
|
||
]
|
||
},
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.scatter(df_from_osl[\"first_lon\"], df_from_osl[\"first_lat\"], s=10, c=df_from_osl[\"first_alt\"], marker=\".\")\n",
|
||
"plt.scatter(*OSLO_GARDERMOEN_AIRPORT, c=\"black\", s=50, marker=\"x\") # Oslo Gardermoen Airport"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "7c291d32",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "adsbpy",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.13.9"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|