6580 lines
1.1 MiB
Plaintext
6580 lines
1.1 MiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 1,
|
||
"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": 2,
|
||
"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": 3,
|
||
"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": "382fddd5-0058-4e40-8414-089be5d86af4",
|
||
"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": 3,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"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": 5,
|
||
"id": "4fab274f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 500x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"\n",
|
||
"fig, ax = plt.subplots(figsize=(5, 6))\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.savefig(\"air_traffic_over_norway.pdf\", bbox_inches=\"tight\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"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": "9c9ee3e1-9041-4bc0-a949-f766e6fcc0ba",
|
||
"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": 6,
|
||
"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": 7,
|
||
"id": "beec89ce",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0.5, 1.0, 'Known Flight Routes Between Major Airports in Norway and Sweden')"
|
||
]
|
||
},
|
||
"execution_count": 7,
|
||
"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": 8,
|
||
"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": 9,
|
||
"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": "6bfdc65b-f7f4-4f66-8324-c9f7eedd4933",
|
||
"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": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_to_osl"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"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": "63fb230c-7bfd-4eb3-84ec-50b01ec714d4",
|
||
"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": 10,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_from_osl"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "697babca",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.collections.PathCollection at 0x7fb5105ce5d0>"
|
||
]
|
||
},
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAk8AAAGdCAYAAAAL2ZfXAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAARsFJREFUeJzt3X9c1fXd//HnQeGICkdB+TUFqSg0qLEwQpq1YJhzXeG6dG1ZtnnlZpCh1cq+qVtzUDZ3lavJ8NrUXc3V7Mr8caWO/EGpiOmiJBti0DAVtMJzFOWHnPf3j9m5OonKx5AD+rjfbp/bjfN5v8/783off5wnn8/nvI/NGGMEAACAdvHzdQEAAADdCeEJAADAAsITAACABYQnAAAACwhPAAAAFhCeAAAALCA8AQAAWEB4AgAAsKCnrwvoStxutw4cOKCgoCDZbDZflwMAANrBGKOjR48qKipKfn4X/rwQ4ekLDhw4oMGDB/u6DAAAcB727dunQYMGXfDjEJ6+ICgoSDr14gcHB/u6HAAA0A4ul0uDBw/2vI9faISnL/j8Ul1wcDDhCQCAbqazbrnhhnEAAAALCE8AAAAWEJ4AAAAsIDwBAABYQHgCAACwgPAEAABgAeEJAADAAsITAACABZbD0/79+zVhwgSFhoYqMDBQiYmJ2rFjh6fdGKNZs2YpMjJSgYGBysjIUGVl5VnHzM/P1/DhwxUUFKSwsDBlZWWpoqLCq89PfvITXX755QoMDNTAgQN1++236x//+IdXn5qaGo0ZM0a9e/dWWFiYHnnkEZ08edLqFAEAAM7IUniqr69XWlqa/P39tWbNGu3evVvz5s1T//79PX3mzp2r+fPnq6CgQKWlperTp49GjRqlxsbGM45bXFys7Oxsbdu2TUVFRWppaVFmZqYaGho8fa677jotWrRIH3zwgdatWydjjDIzM9Xa2ipJam1t1ZgxY9Tc3KytW7dqyZIlWrx4sWbNmnV+rwwAAEAbbMYY097Ojz32mLZs2aK33nqrzXZjjKKiovTQQw/p4YcfliQ5nU6Fh4dr8eLFuvPOO9t1nMOHDyssLEzFxcUaOXJkm33ee+89XXvttdq7d68uv/xyrVmzRt/97nd14MABhYeHS5IKCgr06KOP6vDhwwoICDjncV0ulxwOh5xOJ1/PAgBAN9HZ79+WzjytXLlSycnJGjdunMLCwpSUlKSFCxd62qurq1VbW6uMjAzPPofDoZSUFJWUlLT7OE6nU5IUEhLSZntDQ4MWLVqk2NhYDR48WJJUUlKixMRET3CSpFGjRsnlcun9999vc5ympia5XC6vDV3DSbdbW/9Zo72ffurrUgAA8GIpPFVVVWnBggWKi4vTunXrNGXKFE2dOlVLliyRJNXW1kqSV4D5/PHnbefidruVm5urtLQ0JSQkeLX97ne/U9++fdW3b1+tWbNGRUVFnjNKtbW1bR73i3V9WX5+vhwOh2f7PIjB9x5a/bru+esrGv3HJdpUVeXrcgAA8LAUntxut77xjW8oLy9PSUlJmjx5su677z4VFBR0WEHZ2dkqLy/XSy+9dFrbXXfdpXfeeUfFxcW68sorNX78+LPeS3UuM2bMkNPp9Gz79u37itWjo7zx4YfSqW/I3lRV7etyAADwsBSeIiMjNWzYMK99Q4cOVU1NjSQpIiJCklRXV+fVp66uztN2Njk5OVq9erU2btyoQYMGndbucDgUFxenkSNH6pVXXtE//vEPLV++3HPsto77xbq+zG63Kzg42GtD1/Dd+HhJkk1SZlycr8sBAMDDUnhKS0s7bQmBPXv2KCYmRpIUGxuriIgIrV+/3tPucrlUWlqq1NTUM45rjFFOTo6WL1+uDRs2KDY29py1GGNkjFFTU5MkKTU1Vbt27dKhQ4c8fYqKihQcHHxa4EPXl39rppbddafe+I8fa0RMtK/LAQDAw1J4mjZtmrZt26a8vDzt3btXS5cuVWFhobKzs6VTl1hyc3M1Z84crVy5Urt27dI999yjqKgoZWVlecZJT0/X888/73mcnZ2tF198UUuXLlVQUJBqa2tVW1urEydOSKfutcrPz9fOnTtVU1OjrVu3aty4cQoMDNR3vvMdSVJmZqaGDRumu+++W++++67WrVunJ554QtnZ2bLb7R31eqGT+NlsSoqK0uB+Dn1c79RHn9b7uiQAAP7FWLRq1SqTkJBg7Ha7iY+PN4WFhV7tbrfbzJw504SHhxu73W7S09NNRUWFV5+YmBgze/Zsz2NJbW6LFi0yxhizf/9+M3r0aBMWFmb8/f3NoEGDzA9/+EPzj3/8w2vcjz76yIwePdoEBgaaAQMGmIceesi0tLS0e25Op9NIMk6n0+rLggtkRdluEz/rN+aqWb8xS7bu9HU5AIAuqLPfvy2t83SxY52nrudHS15RSdW/buSPCwvVqux7fF0SAKCL6dLrPAGd7ZtX/N/9byPjhvi0FgAAJKmnrwsAzuZHI76hq6PC1NLq1ojLuHEcAOB7hCd0aTabTSmxLF4KAOg6uGwHAABgAeEJAADAAsITAACABYQnAAAAC7hhHF1Cy8lW/XXzu2poatGd37xWwb17+bokAADaRHhCl7BgTYn+8Mbb8rPZVP7PWs2ffLuvSwIAoE1ctkOXUPPJEdlsktsYfXSY77EDAHRdhCd0Cffekqx+vQPVy7+npo5J83U5AACcEd9t9wV8t51vGWNkjOTnZ/N1KQCAbqSz37+55wldhs1mk43cBADo4rhsBwAAYAHhCQAAwALCEwAAgAWEJwAAAAsITwAAABYQngAAACwgPMEnGptatK+uXm43y4wBALoX1nlCp6v97KgmPvlnfeY6rhuvjdVvpmbJxgJPAIBugjNP6HRvvvOhPnMdlyRtfrdah+qP+bokAADajfCETpd4eaTnK1iiBgQrNLi3r0sCAKDduGyHTjd0SLj+NOsuVfzzkL557WXq2bOHr0sCAKDdCE/wiauiw3RVdJivywAAwDIu2wEAAFhAeAIAALCA8AQAAGAB4QkAAMACwhMAAIAFhCcAAAALLIen/fv3a8KECQoNDVVgYKASExO1Y8cOT7sxRrNmzVJkZKQCAwOVkZGhysrKs46Zn5+v4cOHKygoSGFhYcrKylJFRYWn/bPPPtMDDzygq666SoGBgYqOjtbUqVPldDq9xrHZbKdtL730ktUpAgAAnJGl8FRfX6+0tDT5+/trzZo12r17t+bNm6f+/ft7+sydO1fz589XQUGBSktL1adPH40aNUqNjY1nHLe4uFjZ2dnatm2bioqK1NLSoszMTDU0NEiSDhw4oAMHDujXv/61ysvLtXjxYq1du1aTJk06baxFixbp4MGDni0rK8vaKwIAAHAWNmNMu7/W/rHHHtOWLVv01ltvtdlujFFUVJQeeughPfzww5Ikp9Op8PBwLV68WHfeeWe7jnP48GGFhYWpuLhYI0eObLPPsmXLNGHCBDU0NKhnz3+t9Wmz2bR8+fLzDkwul0sOh0NOp1PBwcHnNQYAAOhcnf3+benM08qVK5WcnKxx48YpLCxMSUlJWrhwoae9urpatbW1ysjI8OxzOBxKSUlRSUlJu4/z+eW4kJCQs/YJDg72BKfPZWdna8CAAbr++uv1xz/+URayIQAAwDlZ+nqWqqoqLViwQNOnT9fjjz+ut99+W1OnTlVAQIAmTpyo2tpaSVJ4eLjX88LDwz1t5+J2u5Wbm6u0tDQlJCS02eeTTz7RL3/5S02ePNlr/5NPPqlbbrlFvXv31t/+9jfdf//9OnbsmKZOndrmOE1NTWpqavI8drlc7aoRAABcuiyFJ7fbreTkZOXl5UmSkpKSVF5eroKCAk2cOLFDCsrOzlZ5ebk2b97cZrvL5dKYMWM0bNgw/fznP/dqmzlzpufnpKQkNTQ06JlnnjljeMrPz9cvfvGLDqkbAABcGixdtouMjNSwYcO89g0dOlQ1NTWSpIiICElSXV2dV5+6ujpP29nk5ORo9erV2rhxowYNGnRa+9GjR3XrrbcqKChIy5cvl7+//1nHS0lJ0ccff+x1dumLZsyYIafT6dn27dt3zhoBAMClzVJ4SktL81pCQJL27NmjmJgYSVJsbKwiIiK0fv16T7vL5VJpaalSU1PPOK4xRjk5OVq+fLk2bNig2NjY0/q4XC5lZmYqICBAK1euVK9evc5Zb1lZmfr37y+73d5mu91uV3BwsNeGjtHUclJ/fuPv+t2qrWpobDu8AgDQHVm6bDdt2jSNGDFCeXl5Gj9+vLZv367CwkIVFhZKpz7tlpubqzlz5iguLk6xsbGaOXOmoqKivD4Bl56errFjxyonJ0c6dalu6dKlWrFihYKCgjz3RzkcDgUGBnqC0/Hjx/Xiiy/K5XJ57k8aOHCgevTooVWrVqmurk433HCDevXqpaKiIuXl5Xk+9YfO9dTSDVq55X0ZSS9tKdO6J+9TYMDZzxQCANAdWApPw4cP1/LlyzVjxgw9+eSTio2N1bPPPqu77rrL0+dnP/uZGhoaNHnyZB05ckQ33nij1q5d63Wm6MMPP9Qnn3ziebxgwQJJ0s033+x1vEWLFunee+/V3//+d5WWlkqSrrjiCq8+1dXVGjJkiPz9/fXCCy9o2rRpMsboiiuu0G9+8xvdd999Vl8TdID3qg/q8885uo426d19B3XD5dE+rgoAgK/O0jpPFzvWeeo4q0vf1+w//k3GSD0G9NSax3+sAX37+LosAMBFqLPfvy2deQLa67spV2tYbIR2fLRfaXExBCcAwEWD8IQL5rKwUF0WFurrMgAA6FCWvxgYAADgUkZ4AgAAsIDwBAAAYAHhCQAAwALCEwAAgAWEJwAAAAsITwAAABYQngAAACwgPAEAAFhAeAIAALCA8AQAAGAB4QkAAMACwhMAAIAFhCcAAAALCE8AAAAWEJ4AAAAsIDwBAABYQHgCAACwgPAEAABgAeEJAADAAsIT2m171T6N/s9FGrdgqWo+PeLrcgAA8AnCE9rtyVUbVPPpEX1w4JB+t3Gbr8sBAMAnCE9oN0dgL9lsNs/PAABcinr6ugB0H3PHjdaCjdsU1MuunPRUX5cDAIBPEJ7Qbl/rH6w538v0dRkAAPgUl+0AAAAsIDwBAABYQHgCAACwgPAEAABgAeEJAADAAsvhaf/+/ZowYYJCQ0MVGBioxMRE7dixw9NujNGsWbMUGRmpwMBAZWRkqLKy8qxj5ufna/jw4QoKClJYWJiysrJUUVHhaf/ss8/0wAMP6KqrrlJgYKCio6M1depUOZ1Or3Fqamo0ZswY9e7dW2FhYXrkkUd08uRJq1MEAAA4I0vhqb6+XmlpafL399eaNWu0e/duzZs3T/379/f0mTt3rubPn6+CggKVlpaqT58+GjVqlBobG884bnFxsbKzs7Vt2zYVFRWppaVFmZmZamhokCQdOHBABw4c0K9//WuVl5dr8eLFWrt2rSZNmuQZo7W1VWPGjFFzc7O2bt2qJUuWaPHixZo1a9b5vTIAAABtsBljTHs7P/bYY9qyZYveeuutNtuNMYqKitJDDz2khx9+WJLkdDoVHh6uxYsX684772zXcQ4fPqywsDAVFxdr5MiRbfZZtmyZJkyYoIaGBvXs2VNr1qzRd7/7XR04cEDh4eGSpIKCAj366KM6fPiwAgICznlcl8slh8Mhp9Op4ODgdtUKAAB8q7Pfvy2deVq5cqWSk5M1btw4hYWFKSkpSQsXLvS0V1dXq7a2VhkZGZ59DodDKSkpKikpafdxPr8cFxISctY+wcHB6tnzX+t8lpSUKDEx0ROcJGnUqFFyuVx6//332xyjqalJLpfLawMAADgbS+GpqqpKCxYsUFxcnNatW6cpU6Zo6tSpWrJkiSSptrZWkrwCzOePP287F7fbrdzcXKWlpSkhIaHNPp988ol++ctfavLkyZ59tbW1bR73i3V9WX5+vhwOh2cbPHhwu2oEAADWGHNCpulNmZMf+7qUr8zS17O43W4lJycrLy9PkpSUlKTy8nIVFBRo4sSJHVJQdna2ysvLtXnz5jbbXS6XxowZo2HDhunnP//5VzrWjBkzNH36dK+xCVAAAHQsY9wyn06QTu6SFCCFviKbf7yvyzpvls48RUZGatiwYV77hg4dqpqaGklSRESEJKmurs6rT11dnaftbHJycrR69Wpt3LhRgwYNOq396NGjuvXWWxUUFKTly5fL39/f0xYREdHmcb9Y15fZ7XYFBwd7bQAAoIO5PzsVnCSpWWre6uOCvhpL4SktLc1rCQFJ2rNnj2JiYiRJsbGxioiI0Pr16z3tLpdLpaWlSk1NPeO4xhjl5ORo+fLl2rBhg2JjY0/r43K5lJmZqYCAAK1cuVK9evXyak9NTdWuXbt06NAhz76ioiIFBwefFvgAAEAn8guV/JNPPQiU7G1/GKy7sBSepk2bpm3btikvL0979+7V0qVLVVhYqOzsbEmSzWZTbm6u5syZo5UrV2rXrl265557FBUVpaysLM846enpev755z2Ps7Oz9eKLL2rp0qUKCgpSbW2tamtrdeLECekLwamhoUF/+MMf5HK5PH1aW1slSZmZmRo2bJjuvvtuvfvuu1q3bp2eeOIJZWdny263d9TrdVEyxmjvPw/r4GFumAcAdDybzSZbyGLZQpbKNvAN2Xpe4euSvhpj0apVq0xCQoKx2+0mPj7eFBYWerW73W4zc+ZMEx4ebux2u0lPTzcVFRVefWJiYszs2bM9jyW1uS1atMgYY8zGjRvP2Ke6utozzkcffWRGjx5tAgMDzYABA8xDDz1kWlpa2j03p9NpJBmn02n1ZenWfvfnN03q+F+btO/PM2/t2OvrcgAAsKSz378trfN0sbtU13n67uQF+sx5XDab9O0R8fr51DG+LgkAgHbr0us84eKUdt1lkiRjpBuSTr/fDAAA/B9LSxXg4vSz+76tb6VcJUdQLw29/NyfigQA4FJGeIJ6+Pnphq8P8XUZAAB0C1y2AwAAsIDwBAAAYAHhCQAAwALCEwAAgAXcMH6JM8ZoXdkefXK0QbclD9Nvdm7R6g8rdNvlV2n2jbfIZrP5ukQAALoUwtMl7qUt7yrvfzbIr1l6ufhd7RrwqSRpcfk7ui0uXtdFfM3XJQIA0KUQni5xFQcOK+CY1KNZqttbr0C31Bj2rzaHvde5ng4AwCWH8HSJGz/iGr2+ZpfncWrvQQqOC1Jm7BW6on+oT2sDAKArIjxd4uIiB8jP3kPuE60ykhKHRGpaxk2+LgsAgC6L8HSJa201agkwOukn2SQNHBDk65IAAOjSWKrgEtcroKduSYqT/G2yBfhpSHh/X5cEAECXRni6hL3+560al/CYNu2o+L99O//h05oAAOjqCE+XqNZWtxbMfEXHnCfkV3dckuQ2RtcMifR1aQAAdGnc83SJ8vOzyRHaV/WHXOr/9ie68ZuJ+mZ6okZeHevr0gAA6NIIT5com82m/L9ka9XitxQVO0D/9qOR8vPjRCQAAOdiM8YYXxfRVbhcLjkcDjmdTgUHB/u6nAuq9WSr/Hr48fUrAIBur7PfvznVcAkq+stWZUVP1Q+v/pmqyj/2dTkAAHQrhKdL0KJfvaaTLa1yfXpMrxVu8HU5AAB0K4SnS9DgKyJk87PJ7TYadEW4r8sBAKBb4YbxS9D/++Nk/e/iN+UYEKRRd6X5uhwAALoVzjxdYowx+t+qD/XBlQGK+faV6tGDvwIAAFjBmadLzLoPKvXz1zfIz2bT67v3aOv0yQroyV8DAADai9MOl5jDxxqkU6uJH2tsUtPJVl+XBABAt0J4usRkXTNMKUMGK7iXXT/79kgF9bL7uiQAALoVrtdcYoJ62fWne/7d12UAANBtceYJAADAAsLTJeDT+mPatKVChz896utSAADo9rhsd5FzHT2hex9YLKfrhPr2seu/f/djhfbv6+uyAADotiyfedq/f78mTJig0NBQBQYGKjExUTt27PC0G2M0a9YsRUZGKjAwUBkZGaqsrDzrmPn5+Ro+fLiCgoIUFhamrKwsVVRUePUpLCzUzTffrODgYNlsNh05cuS0cYYMGSKbzea1PfXUU1aneFGp+ucncrpOSJKONTRpz4eHfF0SAADdmqXwVF9fr7S0NPn7+2vNmjXavXu35s2bp/79+3v6zJ07V/Pnz1dBQYFKS0vVp08fjRo1So2NjWcct7i4WNnZ2dq2bZuKiorU0tKizMxMNTQ0ePocP35ct956qx5//PGz1vjkk0/q4MGDnu2BBx6wMsWLzlVXhGtw1L/+fCLCgpU49Gu+LgkAgG7NZowx7e382GOPacuWLXrrrbfabDfGKCoqSg899JAefvhhSZLT6VR4eLgWL16sO++8s13HOXz4sMLCwlRcXKyRI0d6tW3atEnf+ta3VF9fr379+nm1DRkyRLm5ucrNzW3vlLy4XC45HA45nU4FBwef1xhdUVNTi6prPlXM4BAF9grwdTkAAHSozn7/tnTmaeXKlUpOTta4ceMUFhampKQkLVy40NNeXV2t2tpaZWRkePY5HA6lpKSopKSk3cdxOp2SpJCQECvlSZKeeuophYaGKikpSc8884xOnjx5xr5NTU1yuVxe28XIbvdXfFwEwQkAgA5gKTxVVVVpwYIFiouL07p16zRlyhRNnTpVS5YskSTV1tZKksLDw72eFx4e7mk7F7fbrdzcXKWlpSkhIcFKeZo6dapeeuklbdy4UT/5yU+Ul5enn/3sZ2fsn5+fL4fD4dkGDx5s6XgAAODSY+nTdm63W8nJycrLy5MkJSUlqby8XAUFBZo4cWKHFJSdna3y8nJt3rzZ8nOnT5/u+fmaa65RQECAfvKTnyg/P192++krac+YMcPrOS6XiwAFAADOytKZp8jISA0bNsxr39ChQ1VTUyNJioiIkCTV1dV59amrq/O0nU1OTo5Wr16tjRs3atCgQVZKa1NKSopOnjypjz76qM12u92u4OBgr+1iUlvn1M53PlJz85kvXQIAAGsshae0tLTTlhDYs2ePYmJiJEmxsbGKiIjQ+vXrPe0ul0ulpaVKTU0947jGGOXk5Gj58uXasGGDYmNjrc+kDWVlZfLz81NYWFiHjNedVO6t0z0/WqiHH31Zj8x4WRY+FwAAAM7C0mW7adOmacSIEcrLy9P48eO1fft2FRYWqrCwUJJks9mUm5urOXPmKC4uTrGxsZo5c6aioqKUlZXlGSc9PV1jx45VTk6OdOpS3dKlS7VixQoFBQV57o9yOBwKDAyUTt1PVVtbq71790qSdu3apaCgIEVHRyskJEQlJSUqLS3Vt771LQUFBamkpETTpk3ThAkTvJZSuFRsf7tKLSdbJUnv7fpYDceb1bcPXwIMAMBXZixatWqVSUhIMHa73cTHx5vCwkKvdrfbbWbOnGnCw8ON3W436enppqKiwqtPTEyMmT17tuexpDa3RYsWefrMnj37rH127txpUlJSjMPhML169TJDhw41eXl5prGxsd1zczqdRpJxOp1WX5Yuxe12m20llebb33nG3Pztp0zuQ382brfb12UBAHBBdPb7t6V1ni52F8s6T7/51SqtXfGOegfZdf+j39G3vjVM/v49fF0WAAAXRJde5wldX3PTSa1d8Y4k6cSxJtX98zOCEwAAHYjwdJHxD+ih2Cv+tc6WMdLQxK/+qUUAAPB/LN0wjq7PZrNp3u8navPGDzR4yABdfQ3rVgEA0JEITxeRP72yTa+s/ru+fvVgPZE7WgH+/PECANDRuGx3kaj7xKWFf96seudxbdxaoTe3Vfq6JAAALkqEp4tEoN1f/j17yGazSZL6Bff2dUkAAFyUuK5zkQgOCtQzM+/Q6xvKde2wQUq+NsbXJQEAcFEiPF1ErrsmWtddE+3rMgAAuKhx2Q4AAMACwhMAAIAFhCcAAAALCE8AAAAWEJ4AAAAsIDwBAABYQHgCAACwgPAEAABgAeEJAADAAsITAACABYSnbmT1P3frqXc26EPnJ74uBQCASxbfbddNrN9fqalbXpOfbFpW9a5KsqYqoEcPX5cFAMAlhzNP3cS+Y0ckSW4Z1Ted0InWZl+XBADAJYnw1E3cPuRqXd0/XD1sNuVcnSZHQKCvSwIA4JLEZbtuor+9t1aNniRjjGw2m6/LAQDgksWZp26G4AQAgG8RngAAACwgPHUzbrdbxhhflwEAwCWL8NSNbPif7Rp7+XTd/Y3/p+oP9vu6HAAALkmEp27kj3NeU3Njiz475NLy32/wdTkAAFySCE/dSOSQgbL52WTcRpFDBvq6HAAALkksVdCNPPFf92nVomIFh/TRmHu+6etyAAC4JBGeuhFHaF9NeHiMr8sAAOCSxmU7AAAACyyHp/3792vChAkKDQ1VYGCgEhMTtWPHDk+7MUazZs1SZGSkAgMDlZGRocrKyrOOmZ+fr+HDhysoKEhhYWHKyspSRUWFV5/CwkLdfPPNCg4Ols1m05EjR04b57PPPtNdd92l4OBg9evXT5MmTdKxY8esThEAAOCMLIWn+vp6paWlyd/fX2vWrNHu3bs1b9489e/f39Nn7ty5mj9/vgoKClRaWqo+ffpo1KhRamxsPOO4xcXFys7O1rZt21RUVKSWlhZlZmaqoaHB0+f48eO69dZb9fjjj59xnLvuukvvv/++ioqKtHr1ar355puaPHmylSkCAACclc1YWHHxscce05YtW/TWW2+12W6MUVRUlB566CE9/PDDkiSn06nw8HAtXrxYd955Z7uOc/jwYYWFham4uFgjR470atu0aZO+9a1vqb6+Xv369fPs/+CDDzRs2DC9/fbbSk5OliStXbtW3/nOd/Txxx8rKirqnMd1uVxyOBxyOp0KDg5uV60AAMC3Ovv929KZp5UrVyo5OVnjxo1TWFiYkpKStHDhQk97dXW1amtrlZGR4dnncDiUkpKikpKSdh/H6XRKkkJCQtr9nJKSEvXr188TnCQpIyNDfn5+Ki0tbfM5TU1NcrlcXhsAAMDZWApPVVVVWrBggeLi4rRu3TpNmTJFU6dO1ZIlSyRJtbW1kqTw8HCv54WHh3vazsXtdis3N1dpaWlKSEhod221tbUKCwvz2tezZ0+FhISc8dj5+flyOByebfDgwe0+HgAAuDRZWqrA7XYrOTlZeXl5kqSkpCSVl5eroKBAEydO7JCCsrOzVV5ers2bN3fIeGczY8YMTZ8+3fPY5XIRoAAAwFlZOvMUGRmpYcOGee0bOnSoampqJEkRERGSpLq6Oq8+dXV1nrazycnJ0erVq7Vx40YNGjTISmmKiIjQoUOHvPadPHlSn3322RmPbbfbFRwc7LUBAACcjaXwlJaWdtoSAnv27FFMTIwkKTY2VhEREVq/fr2n3eVyqbS0VKmpqWcc1xijnJwcLV++XBs2bFBsbKzliaSmpurIkSPauXOnZ9+GDRvkdruVkpJieTwAAIC2WApP06ZN07Zt25SXl6e9e/dq6dKlKiwsVHZ2tiTJZrMpNzdXc+bM0cqVK7Vr1y7dc889ioqKUlZWlmec9PR0Pf/8857H2dnZevHFF7V06VIFBQWptrZWtbW1OnHihKdPbW2tysrKtHfvXknSrl27VFZWps8++0w6dQbs1ltv1X333aft27dry5YtysnJ0Z133tmuT9oBAAC0i7Fo1apVJiEhwdjtdhMfH28KCwu92t1ut5k5c6YJDw83drvdpKenm4qKCq8+MTExZvbs2Z7HktrcFi1a5Okze/bsc/b59NNPzQ9+8APTt29fExwcbH70ox+Zo0ePtntuTqfTSDJOp9PqywIAAHyks9+/La3zdLFjnScAALqfLr3OEzqHq75BjSeafV0GAABoA+Gpi3nhqVXKum2e/u3bT2nnlrN/JyAAAOh8hKcu5n+KdunYZb316bC+mvVfa3xdDgAA+BLCUxfT3MdPJ/v0kOlh08FerfrU1dCOZwEAgM5CeOpCmpua1WPPfvk1tUrGqKekXgH+vi4LAAB8AeGpC1nwi9fUu8lfAzbuV9/yQ5r1b99Un14Bvi4LAAB8AeGpi1i7eJNe/+3/yu06Jpts+vdvJum7o5N9XRYAAPgSS18MjAvjYFWdfjO58F8PmlpkAvyVkpHg67IAAEAbOPPUBXx5mdLsX96hlPSrfVUOAAA4C848dQFRl4dr6guTtHbRRl0/6uv67qRv+bokAABwBnw9yxfw9SwAAHQ/fD3LJaa5sVm73vpARw47fV0KAABoBy7b+VDryVY9kPq4qnbtk1+PHhr/8G2a9Ksf+LosAABwFpx58qEPy6pV9e4/JbeR22308jOr9NH7H/u6LAAAcBaEJx/625+KT/1kpNaTkiR/OycDAQDoyghPPnSyuVV+Pf71R2APDNDP/jhFX7siwtdlAQCAs+A0hw/dPXuc6moOy/XJUWU/9yMNS73K1yUBAIBzYKmCL2CpAgAAuh+WKgAAAOjCCE8AAAAWEJ4AAAAsIDwBAABYQHgCAACwgPAEAABgAeEJAADAAsJTJzHG6C+FmzT9nkKteeVtX5cDAADOEyuMd5L33q7WkuffkCTtLqvRtddfpqjoUF+XBQAALOLMUydxu70XcmdhdwAAuifOPHWSr6dcpglTbtH2tyo0Kus6fS1mgK9LAgAA54HvtvsCvtsOAIDuh++2AwAA6MIsh6f9+/drwoQJCg0NVWBgoBITE7Vjxw5PuzFGs2bNUmRkpAIDA5WRkaHKysqzjpmfn6/hw4crKChIYWFhysrKUkVFhVefxsZGZWdnKzQ0VH379tUdd9yhuro6rz42m+207aWXXrI6xQ63dUul/mPSf+nns19VQ0OTr8sBAABfgaXwVF9fr7S0NPn7+2vNmjXavXu35s2bp/79+3v6zJ07V/Pnz1dBQYFKS0vVp08fjRo1So2NjWcct7i4WNnZ2dq2bZuKiorU0tKizMxMNTQ0ePpMmzZNq1at0rJly1RcXKwDBw7oe9/73mljLVq0SAcPHvRsWVlZVqbY4dxuo1/9aoWqqw9r8+Y9em35jnY8CwAAdFWWbhh/+umnNXjwYC1atMizLzY21vOzMUbPPvusnnjiCd1+++2SpD/96U8KDw/Xa6+9pjvvvLPNcdeuXev1ePHixQoLC9POnTs1cuRIOZ1O/eEPf9DSpUt1yy23SKdC0tChQ7Vt2zbdcMMNnuf269dPERERVqZ1QdlsUkBATzU1tUgyCrD7+7okAADwFVg687Ry5UolJydr3LhxCgsLU1JSkhYuXOhpr66uVm1trTIyMjz7HA6HUlJSVFJS0u7jOJ1OSVJISIgkaefOnWppafEaNz4+XtHR0aeNm52drQEDBuj666/XH//4x7MuCdDU1CSXy+W1dTSbzaY5v/p33XDDFbrj36/X7bd/o8OPAQAAOo+lM09VVVVasGCBpk+frscff1xvv/22pk6dqoCAAE2cOFG1tbWSpPDwcK/nhYeHe9rOxe12Kzc3V2lpaUpISJAk1dbWKiAgQP369TvruE8++aRuueUW9e7dW3/72990//3369ixY5o6dWqbx8rPz9cvfvELKy/Bebn66kGa86txF/w4AADgwrMUntxut5KTk5WXlydJSkpKUnl5uQoKCjRx4sQOKSg7O1vl5eXavHmz5efOnDnT83NSUpIaGhr0zDPPnDE8zZgxQ9OnT/c8drlcGjx48HlWDgAALgWWLttFRkZq2LBhXvuGDh2qmpoaSfLca/TlT8HV1dW16z6knJwcrV69Whs3btSgQYM8+yMiItTc3KwjR45YGjclJUUff/yxmpra/oSb3W5XcHCw1wYAAHA2lsJTWlraaUsI7NmzRzExMdKpm8cjIiK0fv16T7vL5VJpaalSU1PPOK4xRjk5OVq+fLk2bNjgdRO6JF133XXy9/f3GreiokI1NTVnHbesrEz9+/eX3W63Mk0AAIAzsnTZbtq0aRoxYoTy8vI0fvx4bd++XYWFhSosLJRO3Rydm5urOXPmKC4uTrGxsZo5c6aioqK8lgxIT0/X2LFjlZOTI526VLd06VKtWLFCQUFBnvuYHA6HAgMD5XA4NGnSJE2fPl0hISEKDg7WAw88oNTUVM8n7VatWqW6ujrdcMMN6tWrl4qKipSXl6eHH364I18vAABwqTMWrVq1yiQkJBi73W7i4+NNYWGhV7vb7TYzZ8404eHhxm63m/T0dFNRUeHVJyYmxsyePdvzWFKb26JFizx9Tpw4Ye6//37Tv39/07t3bzN27Fhz8OBBT/uaNWvM17/+ddO3b1/Tp08fc+2115qCggLT2tra7rk5nU4jyTidTqsvCwAA8JHOfv/mu+2+gO+2AwCg++G77QAAALowwhMAAIAFhCcAAAALCE8AAAAWEJ4AAAAsIDwBAABYQHgCAACwgPAEAABgAeEJAADAAsITAACABYQnAAAACwhPAAAAFhCeAAAALCA8Aeiyaj916bVN76n6wKe+LgUAPHr6ugAAaMvRhkbdPfNFORsa5d+zh17Om6gge4Dq6py6/Ipw9ejB734AfIPwBKBL2nfoiJwNjZKklpOt2rxjr158boMaG1t0w4gr9Mv88bLZbL4uE8AliF/dAHRJVw4eqMQrIiVJg8P76fihBjU2tkiStm3dq+PHm31cIYBLFWeeAHRJPXv2UOH/+75qP3EpLCRIlRW1evlPW9Xa6tZV8ZHq3TvA1yUCuETZjDHG10V0FS6XSw6HQ06nU8HBwb4uB8CX1PzzE+2r+VTfSI5VYCDhCcC/dPb7N2eeAHQb0TEDFB0zwNdlALjEcc8TAACABYQnAAAACwhPAAAAFhCeAAAALCA8AQAAWEB4AgAAsIDwBAAAYAHhCQAAwALCEwAAgAWEJwAAAAsITwAAABZYDk/79+/XhAkTFBoaqsDAQCUmJmrHjh2edmOMZs2apcjISAUGBiojI0OVlZVnHTM/P1/Dhw9XUFCQwsLClJWVpYqKCq8+jY2Nys7OVmhoqPr27as77rhDdXV1Xn1qamo0ZswY9e7dW2FhYXrkkUd08uRJq1MEAAA4I0vhqb6+XmlpafL399eaNWu0e/duzZs3T/379/f0mTt3rubPn6+CggKVlpaqT58+GjVqlBobG884bnFxsbKzs7Vt2zYVFRWppaVFmZmZamho8PSZNm2aVq1apWXLlqm4uFgHDhzQ9773PU97a2urxowZo+bmZm3dulVLlizR4sWLNWvWLOuvCgAAwJkYCx599FFz4403nrHd7XabiIgI88wzz3j2HTlyxNjtdvOXv/yl3cc5dOiQkWSKi4s9Y/j7+5tly5Z5+nzwwQdGkikpKTHGGPP6668bPz8/U1tb6+mzYMECExwcbJqamtp1XKfTaSQZp9PZ7loBAIBvdfb7t6UzTytXrlRycrLGjRunsLAwJSUlaeHChZ726upq1dbWKiMjw7PP4XAoJSVFJSUl7T6O0+mUJIWEhEiSdu7cqZaWFq9x4+PjFR0d7Rm3pKREiYmJCg8P9/QZNWqUXC6X3n//fSvTBAAAOCNL4amqqkoLFixQXFyc1q1bpylTpmjq1KlasmSJJKm2tlaSvALM548/bzsXt9ut3NxcpaWlKSEhwTNuQECA+vXrd8Zxa2tr2zzuF+v6sqamJrlcLq8NAADgbHpa6ex2u5WcnKy8vDxJUlJSksrLy1VQUKCJEyd2SEHZ2dkqLy/X5s2bO2S8s8nPz9cvfvGLC34cAABw8bB05ikyMlLDhg3z2jd06FDV1NRIkiIiIiTptE/B1dXVedrOJicnR6tXr9bGjRs1aNAgz/6IiAg1NzfryJEjZxw3IiKizeN+sa4vmzFjhpxOp2fbt2/fOWsEAACXNkvhKS0t7bQlBPbs2aOYmBhJUmxsrCIiIrR+/XpPu8vlUmlpqVJTU884rjFGOTk5Wr58uTZs2KDY2Fiv9uuuu07+/v5e41ZUVKimpsYzbmpqqnbt2qVDhw55+hQVFSk4OPi0wPc5u92u4OBgrw0AAOCsrNxdvn37dtOzZ0/zq1/9ylRWVpo///nPpnfv3ubFF1/09HnqqadMv379zIoVK8x7771nbr/9dhMbG2tOnDjh6XPLLbeY3/72t57HU6ZMMQ6Hw2zatMkcPHjQsx0/ftzT56c//amJjo42GzZsMDt27DCpqakmNTXV037y5EmTkJBgMjMzTVlZmVm7dq0ZOHCgmTFjRrvnx6ftAADofjr7/dtSeDLGmFWrVpmEhARjt9tNfHy8KSws9Gp3u91m5syZJjw83NjtdpOenm4qKiq8+sTExJjZs2f/XxFSm9uiRYs8fU6cOGHuv/9+079/f9O7d28zduxYc/DgQa9xP/roIzN69GgTGBhoBgwYYB566CHT0tLS7rkRngDfOdHUbB6c96q5afJvze+WbfZ1OQC6kc5+/7aZf4UXnLrE6HA45HQ6uYQHdLI1W3ZrduFaz+MV8/5DkQP4dwjg3Dr7/dvSp+0A4EIZGNJXkuRns8m/Zw/1DQzwdUkA0CbCE4AuIXlotH4x+VaVVR7QmLRhCurTy9clAUCbCE8AuozRacM0Oq3tT8cCQFdhaakCAOhMxhj98fXtuvepl/RK8bu+LgcAJM48AejK/r5nv154bYskaVfVQSVfNVhDIkJ8XRaASxxnngB0WUZ8GBhA18OZJwBd1nVXDtKU20forfeqNCZ1GGedAHQJrPP0BazzBABA99PZ799ctgMAALCA8ATAJ/YfqNd//6VEO975yNelAIAl3PMEoNM1NbXo/mkvynX0hIyR5j/zQ12TMMjXZQFAu3DmCUCnc7oa5XT9KzhJ0kc1n/i6JABoN8ITgE43cEBffSczUZIUMzhUN914la9LAoB249N2X8Cn7YDOdaKxWb3s/rLZbL4uBUA31tnv39zzBMBnAnsF+LoEALCMy3YAAAAWEJ4AAAAsIDwBAABYQHgCcEG1trq1+D/X6ZG7C/XWul2+LgcAvjJuGAdwQW3+W7leXlgsSdpd9k99PeVyBfXr7euyAOC8ceYJwAXV2tIqz3ooRmJtFADdHWeeAFww5X//SM/nr5ZfQA+Fhzt0d06GgjnrBKCbIzwBuGBe/dMWnTjeJGOkHvaeuuW2r/u6JAD4yrhsB+CCib48TMZINps0JC7c1+UAQIfgzBOAC+buKbdoYLhDjSea9Z1xw31dDgB0CMITgAumR88eGjP+el+XAQAdist2AAAAFhCeAAAALCA8AQAAWEB4AgAAsIDwBAAAYAHhCQAAwALL4Wn//v2aMGGCQkNDFRgYqMTERO3YscPTbozRrFmzFBkZqcDAQGVkZKiysvKsY7755pu67bbbFBUVJZvNptdee+20PnV1dbr33nsVFRWl3r1769Zbbz1t3Jtvvlk2m81r++lPf2p1igAAAGdkKTzV19crLS1N/v7+WrNmjXbv3q158+apf//+nj5z587V/PnzVVBQoNLSUvXp00ejRo1SY2PjGcdtaGjQtddeqxdeeKHNdmOMsrKyVFVVpRUrVuidd95RTEyMMjIy1NDQ4NX3vvvu08GDBz3b3LlzrUwRAADgrCwtkvn0009r8ODBWrRokWdfbGys52djjJ599lk98cQTuv322yVJf/rTnxQeHq7XXntNd955Z5vjjh49WqNHjz7jcSsrK7Vt2zaVl5fr6quvliQtWLBAERER+stf/qL/+I//8PTt3bu3IiIirEwLAACg3SydeVq5cqWSk5M1btw4hYWFKSkpSQsXLvS0V1dXq7a2VhkZGZ59DodDKSkpKikpOe8im5qaJEm9evX6v8L9/GS327V582avvn/+8581YMAAJSQkaMaMGTp+/PhZx3W5XF4bAADA2VgKT1VVVVqwYIHi4uK0bt06TZkyRVOnTtWSJUskSbW1tZKk8HDvLwANDw/3tJ2P+Ph4RUdHa8aMGaqvr1dzc7Oefvppffzxxzp48KCn3w9/+EO9+OKL2rhxo2bMmKH//u//1oQJE844bn5+vhwOh2cbPHjwedcIAAAuDZYu27ndbiUnJysvL0+SlJSUpPLychUUFGjixIkXqkb5+/vr1Vdf1aRJkxQSEqIePXooIyNDo0ePljHG02/y5MmenxMTExUZGan09HR9+OGHuvzyy08bd8aMGZo+fbrnscvlIkABAICzsnTmKTIyUsOGDfPaN3ToUNXU1EiS516juro6rz51dXVf+T6k6667TmVlZTpy5IgOHjyotWvX6tNPP9Vll112xuekpKRIkvbu3dtmu91uV3BwsNcGAABwNpbCU1pamioqKrz27dmzRzExMdKpm8cjIiK0fv16T7vL5VJpaalSU1M7pGCHw6GBAweqsrJSO3bs8NyY3paysjLpVOgDAADoCJYu202bNk0jRoxQXl6exo8fr+3bt6uwsFCFhYWSJJvNptzcXM2ZM0dxcXGKjY3VzJkzFRUVpaysLM846enpGjt2rHJyciRJx44d8zo7VF1drbKyMoWEhCg6OlqStGzZMg0cOFDR0dHatWuXHnzwQWVlZSkzM1OS9OGHH2rp0qX6zne+o9DQUL333nuaNm2aRo4cqWuuuaZjXi0AAABj0apVq0xCQoKx2+0mPj7eFBYWerW73W4zc+ZMEx4ebux2u0lPTzcVFRVefWJiYszs2bM9jzdu3GgknbZNnDjR0+e5554zgwYNMv7+/iY6Oto88cQTpqmpydNeU1NjRo4caUJCQozdbjdXXHGFeeSRR4zT6Wz33JxOp5Fk6TkAAMC3Ovv922a+eMf1Jc7lcsnhcMjpdHL/EwAA3URnv3/z3XYAAAAWEJ4AAAAsIDwBAABYQHgCAACwgPAEAABgAeEJAADAAsITAACABYQnAAAACwhPAAAAFhCeAAAALCA8AQAAWEB4AgAAsIDwBAAAYAHhCQAAwALCEwAAgAWEJwAAAAsITwAAABYQngAAACwgPAEAAFhAeAIAALCA8AQAAGAB4QkAAMACwhMAAIAFhCcAAAALCE8AAAAWEJ4AAAAsIDwBAABYQHjqBM3NzV+pHQAAdB2Epwvs5ZdfVmJiovbt29dm+759+5SYmKiXX36502sDAADWEZ4uoObmZs2aNUt79uzRzTfffFqA2rdvn26++Wbt2bNHs2bN4gwUAADdAOHpAgoICNAbb7yhyy67TFVVVV4B6vPgVFVVpcsuu0xvvPGGAgICfF0yAAA4B8vhaf/+/ZowYYJCQ0MVGBioxMRE7dixw9NujNGsWbMUGRmpwMBAZWRkqLKy8qxjvvnmm7rtttsUFRUlm82m11577bQ+dXV1uvfeexUVFaXevXvr1ltvPW3cxsZGZWdnKzQ0VH379tUdd9yhuro6q1PsUIMHD9amTZu8AtTWrVu9gtOmTZs0ePBgn9YJAADax1J4qq+vV1pamvz9/bVmzRrt3r1b8+bNU//+/T195s6dq/nz56ugoEClpaXq06ePRo0apcbGxjOO29DQoGuvvVYvvPBCm+3GGGVlZamqqkorVqzQO++8o5iYGGVkZKihocHTb9q0aVq1apWWLVum4uJiHThwQN/73vesTPGC+HKASktLIzgBANBdGQseffRRc+ONN56x3e12m4iICPPMM8949h05csTY7Xbzl7/8pV3HkGSWL1/uta+iosJIMuXl5Z59ra2tZuDAgWbhwoWe4/j7+5tly5Z5+nzwwQdGkikpKWnXsZ1Op5FknE5nu/pbtWXLFiPJs23ZsuWCHAcAgEvJhX7//jJLZ55Wrlyp5ORkjRs3TmFhYUpKStLChQs97dXV1aqtrVVGRoZnn8PhUEpKikpKSs474DU1NUmSevXq5dnn5+cnu92uzZs3S5J27typlpYWr2PHx8crOjr6jMduamqSy+Xy2i6Uffv26e677/bad/fdd5/xU3gAAKBrshSeqqqqtGDBAsXFxWndunWaMmWKpk6dqiVLlkiSamtrJUnh4eFezwsPD/e0nY/PQ9CMGTNUX1+v5uZmPf300/r444918OBBz7EDAgLUr1+/dh87Pz9fDofDs12oy2dfvjl8y5Ytbd5EDgAAuj5L4cntdusb3/iG8vLylJSUpMmTJ+u+++5TQUHBhatQkr+/v1599VXt2bNHISEh6t27tzZu3KjRo0fLz+/8PzA4Y8YMOZ1Oz3YhQsyXg9OmTZs0YsSI024iJ0ABANA9WEoekZGRGjZsmNe+oUOHqqamRpIUEREhnfpk3BfV1dV52s7Xddddp7KyMh05ckQHDx7U2rVr9emnn+qyyy7zHLu5uVlHjhxp97HtdruCg4O9to7U3NysjIyMNm8O//JN5BkZGazzBABAN2ApPKWlpamiosJr3549exQTEyNJio2NVUREhNavX+9pd7lcKi0tVWpqaocU7HA4NHDgQFVWVmrHjh26/fbbpVPhyt/f3+vYFRUVqqmp6bBjWxUQEKAnn3xSV155ZZufqvs8QF155ZV68sknWecJAIBuoKeVztOmTdOIESOUl5en8ePHa/v27SosLFRhYaEkyWazKTc3V3PmzFFcXJxiY2M1c+ZMRUVFKSsryzNOenq6xo4dq5ycHEnSsWPHtHfvXk97dXW1ysrKFBISoujoaEnSsmXLNHDgQEVHR2vXrl168MEHlZWVpczMTOlUqJo0aZKmT5+ukJAQBQcH64EHHlBqaqpuuOGGjnm1zsP3v/99jR079ozBaPDgwdq1axfBCQCA7sLqx/NWrVplEhISjN1uN/Hx8aawsNCr3e12m5kzZ5rw8HBjt9tNenq6qaio8OoTExNjZs+e7Xm8ceNGr4/wf75NnDjR0+e5554zgwYNMv7+/iY6Oto88cQTpqmpyWvcEydOmPvvv9/079/f9O7d24wdO9YcPHiw3XPr7I86AgCAr66z379t5l9rK+HUJUaHwyGn09nh9z8BAIALo7Pfv/luOwAAAAsITwAAABYQngAAACwgPAEAAFhAeAIAALCA8AQAAGAB4QkAAMACSyuMX+w+X/LK5XL5uhQAANBOn79vd9bSlYSnLzh69Kh06itTAABA93L06FE5HI4LfhxWGP8Ct9utAwcOKCgoSDabzdflWOZyuTR48GDt27fvolwh/WKe38U8NzG/bu1inpuYX7f3+fxqampks9kUFRUlP78Lf0cSZ56+wM/PT4MGDfJ1GV9ZcHDwRfmP5HMX8/wu5rmJ+XVrF/PcxPy6PYfD0anz44ZxAAAACwhPAAAAFhCeLiJ2u12zZ8+W3W73dSkXxMU8v4t5bmJ+3drFPDcxv27PV/PjhnEAAAALOPMEAABgAeEJAADAAsITAACABYQnAAAACwhPXcSbb76p2267TVFRUbLZbHrttde82l999VVlZmYqNDRUNptNZWVl7Rp32bJlio+PV69evZSYmKjXX3/dq72urk733nuvoqKi1Lt3b916662qrKzs8nN7//33dccdd2jIkCGy2Wx69tln2+z3wgsvaMiQIerVq5dSUlK0ffv2DpvX53w1v3Mdt6P4an75+fkaPny4goKCFBYWpqysLFVUVFwUc1uwYIGuueYaz8KFqampWrNmTYfOTT7+t/e5p556SjabTbm5uV95Pl/mq/n9/Oc/l81m89ri4+MvirlJ0v79+zVhwgSFhoYqMDBQiYmJ2rFjR4fNTT6c3+dtX96ys7Mt1U946iIaGhp07bXX6oUXXjhj+4033qinn3663WNu3bpVP/jBDzRp0iS98847ysrKUlZWlsrLy6VTX6CYlZWlqqoqrVixQu+8845iYmKUkZGhhoaGLj2348eP67LLLtNTTz2liIiINvu8/PLLmj59umbPnq2///3vuvbaazVq1CgdOnTovOfSFl/N71zH7Si+ml9xcbGys7O1bds2FRUVqaWlRZmZmRfF381Bgwbpqaee0s6dO7Vjxw7dcsstuv322/X++++f91za4qv5fe7tt9/W73//e11zzTWWa28PX87v6quv1sGDBz3b5s2bz2sOZ+KrudXX1ystLU3+/v5as2aNdu/erXnz5ql///7nPZe2+Gp+b7/9ttefW1FRkSRp3Lhx1iZg0OVIMsuXL2+zrbq62kgy77zzzjnHGT9+vBkzZozXvpSUFPOTn/zEGGNMRUWFkWTKy8s97a2trWbgwIFm4cKFX3kebemouX1RTEyM+c///M/T9l9//fUmOzvb87i1tdVERUWZ/Pz886i8fTpzfu09bkfy1fyMMebQoUNGkikuLrY0fnv5cm7GGNO/f3/zX//1X5bGt6Kz53f06FETFxdnioqKzE033WQefPDB86q7vTpzfrNnzzbXXnvteddqVWfO7dFHHzU33njjedd6Pnz5b+/BBx80l19+uXG73ZbG58zTRaykpEQZGRle+0aNGqWSkhJJUlNTkySpV69ennY/Pz/Z7fYO/y2qszU3N2vnzp1e8/fz81NGRoZn/uhenE6nJCkkJMTXpXSo1tZWvfTSS2poaFBqaqqvy+kw2dnZGjNmzGn/B10sKisrFRUVpcsuu0x33XWXampqfF1Sh1i5cqWSk5M1btw4hYWFKSkpSQsXLvR1WRdEc3OzXnzxRf34xz+WzWaz9FzC00WstrZW4eHhXvvCw8NVW1srSYqPj1d0dLRmzJih+vp6NTc36+mnn9bHH3+sgwcP+qjqjvHJJ5+otbX1rPNH9+F2u5Wbm6u0tDQlJCT4upwOsWvXLvXt21d2u10//elPtXz5cg0bNszXZXWIl156SX//+9+Vn5/v61IuiJSUFC1evFhr167VggULVF1drW9+85s6evSor0v7yqqqqrRgwQLFxcVp3bp1mjJliqZOnaolS5b4urQO99prr+nIkSO69957LT+35wWpCN2Cv7+/Xn31VU2aNEkhISHq0aOHMjIyNHr0aLHwPLqS7OxslZeXd/szol901VVXqaysTE6nU6+88oomTpyo4uLibh+g9u3bpwcffFBFRUVeZ7UvJqNHj/b8fM011yglJUUxMTH661//qkmTJvm0tq/K7XYrOTlZeXl5kqSkpCSVl5eroKBAEydO9HV5HeoPf/iDRo8eraioKMvPJTxdxCIiIlRXV+e1r66uzutGuuuuu87zH3hzc7MGDhyolJQUJScn+6DijjNgwAD16NHjnPNH15eTk6PVq1frzTff1KBBg3xdTocJCAjQFVdcIZ36d/j222/rueee0+9//3tfl/aV7Ny5U4cOHdI3vvENz77W1la9+eabev7559XU1KQePXr4tMaO1q9fP1155ZXau3evr0v5yiIjI08L8EOHDtX//M//+KymC+Gf//yn3njjDb366qvn9Xwu213EUlNTtX79eq99RUVFbd5X4XA4NHDgQFVWVmrHjh26/fbbO7HSjhcQEKDrrrvOa/5ut1vr16+/qO4ruZgZY5STk6Ply5drw4YNio2N9XVJF5Tb7fbch9idpaena9euXSorK/NsycnJuuuuu1RWVnbRBSdJOnbsmD788ENFRkb6upSvLC0t7bQlQfbs2aOYmBif1XQhLFq0SGFhYRozZsx5PZ8zT13EsWPHvH5rqa6uVllZmUJCQhQdHa3PPvtMNTU1OnDggCR5/nJHRER4zqTcc889+trXvua5z+DBBx/UTTfdpHnz5mnMmDF66aWXtGPHDhUWFnqOs2zZMg0cOFDR0dHatWuXHnzwQWVlZSkzM7NLz625uVm7d+/2/Lx//36VlZWpb9++nt/mp0+frokTJyo5OVnXX3+9nn32WTU0NOhHP/pRh83Nl/M713G7+/yys7O1dOlSrVixQkFBQZ571RwOhwIDA7v13GbMmKHRo0crOjpaR48e1dKlS7Vp0yatW7euQ+bly/kFBQWddl9anz59FBoa2uH3q/nqz+/hhx/WbbfdppiYGB04cECzZ89Wjx499IMf/KDbz23atGkaMWKE8vLyNH78eG3fvl2FhYVe7xvdeX469YvKokWLNHHiRPXseZ4xyNJn83DBbNy40Ug6bZs4caIxxphFixa12T579mzPGDfddJOn/+f++te/miuvvNIEBASYq6++2vzv//6vV/tzzz1nBg0aZPz9/U10dLR54oknTFNTU5ef2+cfX/3ydtNNN3kd+7e//a2Jjo42AQEB5vrrrzfbtm3r0Ln5cn7nOm53n19b7ZLMokWLuv3cfvzjH5uYmBgTEBBgBg4caNLT083f/va3DpuXr+f3ZRdqqQJfze/73/++iYyMNAEBAeZrX/ua+f73v2/27t17UczNGGNWrVplEhISjN1uN/Hx8aawsLBD5+br+a1bt85IMhUVFeddv81wZzAAAEC7cc8TAACABYQnAAAACwhPAAAAFhCeAAAALCA8AQAAWEB4AgAAsIDwBAAAYAHhCQAAwALCEwAAgAWEJwAAAAsITwAAABYQngAAACz4/5XqtQW8HTgZAAAAAElFTkSuQmCC",
|
||
"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": 12,
|
||
"id": "7c291d32",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Processing CSV files: 100%|██████████| 28796/28796 [20:24<00:00, 23.53file/s]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"n_bins = 2000\n",
|
||
"\n",
|
||
"lat_bins = np.linspace(58, 72, n_bins+1)\n",
|
||
"lon_bins = np.linspace(3, 32, n_bins+1)\n",
|
||
"counts = np.zeros((n_bins, n_bins), dtype=int)\n",
|
||
"\n",
|
||
"files = list(pathlib.Path(\"../../cpp/linked\").glob(\"*.csv\"))\n",
|
||
"\n",
|
||
"for file in tqdm(files, desc=\"Processing CSV files\", total=len(files), unit=\"file\"):\n",
|
||
" df = pd.read_csv(file)\n",
|
||
" counts += np.histogram2d(\n",
|
||
" df[\"lat\"].values,\n",
|
||
" df[\"lon\"].values,\n",
|
||
" bins=[lat_bins, lon_bins]\n",
|
||
" )[0].astype(int)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"id": "63c53266",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 400x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"fig, ax = plt.subplots(figsize=(4, 5))\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",
|
||
"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",
|
||
"lon_centers = 0.5 * (lon_bins[:-1] + lon_bins[1:])\n",
|
||
"lat_centers = 0.5 * (lat_bins[:-1] + lat_bins[1:])\n",
|
||
"x, y = m(*np.meshgrid(lon_centers, lat_centers))\n",
|
||
"pcm = m.pcolormesh(\n",
|
||
" x, y, counts,\n",
|
||
" norm=colors.LogNorm(vmin=1, vmax=counts.max()),\n",
|
||
" cmap=\"hot\",\n",
|
||
" alpha=0.7\n",
|
||
")\n",
|
||
"m.drawcoastlines(\n",
|
||
" linewidth=0.5,\n",
|
||
" color=\"white\"\n",
|
||
")\n",
|
||
"plt.colorbar(pcm, ax=ax, label=\"Number of Observations (log scale)\", pad=0.02, fraction=0.03, aspect=30)\n",
|
||
"plt.savefig(\"air_traffic_density_over_norway.png\", dpi=600, bbox_inches=\"tight\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"id": "d03e27d7",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 500x600 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Same but zoomed in on Oslo area\n",
|
||
"fig, ax = plt.subplots(figsize=(5, 6))\n",
|
||
"# Basemap region tuned roughly to Norway\n",
|
||
"m = Basemap(\n",
|
||
" llcrnrlon=9, llcrnrlat=59,\n",
|
||
" urcrnrlon=13, urcrnrlat=62,\n",
|
||
" projection=\"lcc\",\n",
|
||
" lat_1=60, lat_2=70,\n",
|
||
" lon_0=11,\n",
|
||
" resolution=\"i\",\n",
|
||
" area_thresh=1000,\n",
|
||
" ax=ax\n",
|
||
")\n",
|
||
"m.drawmapboundary(fill_color=\"#99ffff\")\n",
|
||
"m.fillcontinents(color=\"#ddaaaa\", lake_color=\"#99ffff\")\n",
|
||
"m.drawparallels(np.arange(59, 62, 1), labels=[1,0,0,0], linewidth=0.2)\n",
|
||
"m.drawmeridians(np.arange(9, 13, 1), labels=[0,0,0,1], linewidth=0.2)\n",
|
||
"lon_centers = 0.5 * (lon_bins[:-1] + lon_bins[1:])\n",
|
||
"lat_centers = 0.5 * (lat_bins[:-1] + lat_bins[1:])\n",
|
||
"x, y = m(*np.meshgrid(lon_centers, lat_centers))\n",
|
||
"pcm = m.pcolormesh(\n",
|
||
" x, y, counts,\n",
|
||
" norm=colors.LogNorm(vmin=1, vmax=counts.max()),\n",
|
||
" cmap=\"hot\",\n",
|
||
" alpha=0.7\n",
|
||
")\n",
|
||
"m.drawcoastlines(\n",
|
||
" linewidth=0.5,\n",
|
||
" color=\"white\"\n",
|
||
")\n",
|
||
"m.drawmapscale(\n",
|
||
" lon=10, lat=59.25,\n",
|
||
" lon0=11, lat0=60,\n",
|
||
" length=50,\n",
|
||
" barstyle=\"fancy\",\n",
|
||
" units=\"km\",\n",
|
||
" fontsize=10,\n",
|
||
" yoffset=0.04\n",
|
||
")\n",
|
||
"plt.colorbar(pcm, ax=ax, label=\"Number of Observations (log scale)\", pad=0.02, fraction=0.03, aspect=30)\n",
|
||
"plt.savefig(\"air_traffic_density_over_oslo.png\", dpi=600, bbox_inches=\"tight\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "174d5593",
|
||
"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
|
||
}
|