correct data and prepare for colour gradient implementations

README.md

@@ -4,6 +4,7 @@ ADS-B data of the MU5735 crash, collected from flightradar24.
 For educational purposes only.
 
 `detailed` - https://twitter.com/flightradar24/status/1505863117343014916/photo/2
+
 `coarse` - https://www.flightradar24.com/data/aircraft/b-1791#2b367bc1
 
 ![path](path.png)

combined.csv

@@ -93,4 +93,4 @@ timestamp,lat,lng,altitude,speed,vs,heading,squawk
 1647843741.870,23.33031,111.07468,8175,446,-13248,79,2101
 1647843747,23.333084,111.086357,6525,414,-25792,75,2101
 1647843751.888,23.33533,111.09754,4375,442,-26752,73,2101
-1647843755.972,23.33752,111.10558,3225,376,-30976,87,2101
+1647843755.972,23.33752,111.10558,3225,376,-30976,87,2101

detailed.csv

@@ -1,33 +1,33 @@
-1647843557,23.38095,110.6546,29100,457,0,100
+1647843556.570,23.38095,110.6546,29100,457,0,100
-1647843567,23.37723,110.67724,29100,457,64,100
+1647843566.908,23.37723,110.67724,29100,457,64,100
-1647843572,23.37524,110.6894,29100,457,64,100
+1647843572.020,23.37524,110.6894,29100,457,64,100
-1647843577,23.37337,110.70074,29100,457,0,100
+1647843577.038,23.37337,110.70074,29100,457,0,100
-1647843587,23.36948,110.72466,29100,457,-64,100
+1647843587.156,23.36948,110.72466,29100,457,-64,100
-1647843591,23.36829,110.7319,29100,457,0,100
+1647843590.666,23.36829,110.7319,29100,457,0,100
-1647843593,23.36769,110.73554,29100,457,0,100
+1647843592.580,23.36769,110.73554,29100,457,0,100
-1647843594,23.36732,110.73782,29100,458,0,100
+1647843593.572,23.36732,110.73782,29100,458,0,100
-1647843596,23.36618,110.74458,29100,457,0,100
+1647843596.386,23.36618,110.74458,29100,457,0,100
-1647843597,23.36583,110.74682,29100,457,0,100
+1647843597.120,23.36583,110.74682,29100,457,0,100
-1647843599,23.36508,110.75134,29100,457,0,100
+1647843599.386,23.36508,110.75134,29100,457,0,100
-1647843608,23.36182,110.77128,29100,457,0,100
+1647843607.620,23.36182,110.77128,29100,457,0,100
-1647843613,23.35987,110.78303,29100,457,0,100
+1647843612.932,23.35987,110.78303,29100,457,0,100
-1647843619,23.35791,110.79478,29100,457,0,100
+1647843618.822,23.35791,110.79478,29100,457,0,100
-1647843624,23.35593,110.80695,29100,457,0,100
+1647843623.936,23.35593,110.80695,29100,457,0,100
-1647843634,23.35236,110.82868,29100,457,0,100
+1647843633.596,23.35236,110.82868,29100,457,0,100
-1647843639,23.35043,110.84042,29100,457,0,100
+1647843638.772,23.35043,110.84042,29100,457,0,100
-1647843644,23.34874,110.85083,29100,457,0,100
+1647843643.714,23.34874,110.85083,29100,457,0,100
-1647843660,23.35812,110.88536,27025,433,-21696,98
+1647843659.832,23.35812,110.88536,27025,433,-21696,98
-1647843664,23.35744,110.89615,24925,425,-30784,91
+1647843664.116,23.35744,110.89615,24925,425,-30784,91
-1647843669,23.35661,110.90543,22250,386,-30976,100
+1647843669.150,23.35661,110.90543,22250,386,-30976,100
-1647843675,23.35263,110.91592,17325,429,-30976,123
+1647843674.952,23.35263,110.91592,17325,429,-30976,123
-1647843680,23.34474,110.92432,15325,520,-22528,140
+1647843679.828,23.34474,110.92432,15325,520,-22528,140
-1647843691,23.3231,110.94439,12725,551,-16832,127
+1647843690.678,23.3231,110.94439,12725,551,-16832,127
-1647843695,23.31711,110.95592,11000,556,-21312,112
+1647843695.160,23.31711,110.95592,11000,556,-21312,112
-1647843701,23.3142,110.96949,9150,558,-21888,100
+1647843700.820,23.3142,110.96949,9150,558,-21888,100
-1647843706,23.3149,110.98338,7850,590,-15744,81
+1647843705.578,23.3149,110.98338,7850,590,-15744,81
-1647843716,23.30773,111.01476,7425,565,3520,75
+1647843715.848,23.30773,111.01476,7425,565,3520,75
-1647843721,23.3094,111.02875,8025,531,7360,84
+1647843721.064,23.3094,111.02875,8025,531,7360,84
-1647843725,23.30974,111.04041,8600,507,8448,88
+1647843725.000,23.30974,111.04041,8600,507,8448,88
-1647843742,23.33031,111.07468,8175,446,-13248,79
+1647843741.870,23.33031,111.07468,8175,446,-13248,79
-1647843752,23.33533,111.09754,4375,442,-26752,73
+1647843751.888,23.33533,111.09754,4375,442,-26752,73
-1647843756,23.33752,111.10558,3225,376,-30976,87
+1647843755.972,23.33752,111.10558,3225,376,-30976,87

kml.py

@@ -1,6 +1,7 @@
 import pandas
 from fastkml import kml
 from fastkml.geometry import Geometry
+from fastkml.styles import LineStyle
 from shapely.geometry import Point, LineString
 
 k = kml.KML()
@@ -8,13 +9,17 @@ d = kml.Document()
 line = []
 
 df = pandas.read_csv('combined.csv')
-for i in df.itertuples():
+df_s = [(i.lng, i.lat, i.altitude * 0.3048) for i in df.itertuples()]
-    line.append(Point(i.lng, i.lat, i.altitude * 0.3048))
 
-p = kml.Placemark()
+for j in range(len(df_s)-1):
-p.geometry = Geometry(geometry=LineString(line), altitude_mode="absolute")
+    p = kml.Placemark()
+    p.geometry = Geometry(geometry=LineString([
+        Point(*df_s[j]),
+        Point(*df_s[j+1]),
+    ]), altitude_mode="absolute")
+
+    d.append(p)
 
-d.append(p)
 k.append(d)
 
 with open('out.kml', 'w+', encoding='utf-8') as f: