sort by length

python_scripts/add_trees_to_open_street_map/add_trees.py

@@ -38,7 +38,7 @@ from export_OSM_roads_to_csv import write_roads_to_csv
 
 # From RegionChooser, or https://wktmap.com/
 # Case-study for Grombühl Paper. (4 Blocks):
-WKT = "POLYGON((9.942183 49.804010, 9.942301 49.802740, 9.945477 49.802698, 9.945563 49.804014, 9.942167 49.804055, 9.942183 49.804010))"
+# WKT = "POLYGON((9.942183 49.804010, 9.942301 49.802740, 9.945477 49.802698, 9.945563 49.804014, 9.942167 49.804055, 9.942183 49.804010))"
 WKT = "POLYGON ((9.940352 49.804078, 9.942176 49.804646, 9.949343 49.804508, 9.953356 49.804383, 9.954686 49.804355, 9.955094 49.801932, 9.951661 49.800422, 9.949 49.800796, 9.94591 49.800713, 9.941339 49.801724, 9.94061 49.802527, 9.940352 49.804078))"
 # Grafenbühl:
 # WKT = "POLYGON((9.147551 48.908059, 9.148635 48.907953, 9.149525 48.907819, 9.151177 48.907819, 9.151413 48.907840, 9.153226 48.908087, 9.153387 48.906705, 9.149160 48.906634, 9.148999 48.906620, 9.147551 48.908059))"
@@ -48,7 +48,6 @@ WKT = "POLYGON ((9.940352 49.804078, 9.942176 49.804646, 9.949343 49.804508, 9.9
 ########################
 
 # TODO: Add DreSo Table info.
-# TODO: Select random streets
 
 EXISTING_TREES = 'existing_trees/baumkataster/Baum.shp'
 # Replace with None if no existing tree should be imported.
@@ -91,8 +90,8 @@ ROAD_PERCENTAGE = 50
 DEFAULT_WIDTHS = {
     'unclassified': 0,
     #   'residential': 8,
-    #   'motorway': -1,
-    #   'trunk': -1,
+    'motorway': -1,
+    'trunk': -1,
 }
 
 # For display purposes only:

python_scripts/add_trees_to_open_street_map/export_OSM_roads_to_csv.py

@@ -36,6 +36,7 @@ def create_table(ways):
                             'maxspeed': 'maxspeed [km/h]'})
     for col in NUMERICAL_COLUMNS:
         df[col] = pd.to_numeric(df[col])
+    df = df.sort_values('length [m]', ascending=False)
     return df