PyCharm auto-reformatting for improved readability before making code improvements; added 2 spaces between functions. Minimizing line count is not important. Readability is a priority.

defAirport.py

@@ -1,41 +1,47 @@
 import csv
 import math
+
+
 def add_airport_region(airport_dict):
-	#Get full region/state name from iso region name
+    # Get full region/state name from iso region name
-	with open('./dependencies/regions.csv', 'r', encoding='utf-8') as regions_csv:
+    with open('./dependencies/regions.csv', 'r', encoding='utf-8') as regions_csv:
-		regions_csv = csv.DictReader(filter(lambda row: row[0]!='#', regions_csv))
+        regions_csv = csv.DictReader(filter(lambda row: row[0] != '#', regions_csv))
-		for region in regions_csv:
+        for region in regions_csv:
-			if region['code'] == airport_dict['iso_region']:
+            if region['code'] == airport_dict['iso_region']:
-				airport_dict['region'] = region['name']
+                airport_dict['region'] = region['name']
-	return airport_dict
+    return airport_dict
+
+
 def getClosestAirport(latitude, longitude, allowed_types):
-	from geopy.distance import geodesic
+    from geopy.distance import geodesic
-	plane = (latitude, longitude)
+    plane = (latitude, longitude)
-	with open('./dependencies/airports.csv', 'r', encoding='utf-8') as airport_csv:
+    with open('./dependencies/airports.csv', 'r', encoding='utf-8') as airport_csv:
-		airport_csv_reader = csv.DictReader(filter(lambda row: row[0]!='#', airport_csv))
+        airport_csv_reader = csv.DictReader(filter(lambda row: row[0] != '#', airport_csv))
-		for airport in airport_csv_reader:
+        for airport in airport_csv_reader:
-			if airport['type'] in allowed_types:
+            if airport['type'] in allowed_types:
-				airport_coord = float(airport['latitude_deg']), float(airport['longitude_deg'])
+                airport_coord = float(airport['latitude_deg']), float(airport['longitude_deg'])
-				airport_dist = float((geodesic(plane, airport_coord).mi))
+                airport_dist = float((geodesic(plane, airport_coord).mi))
-				if "closest_airport_dict" not in locals():
+                if "closest_airport_dict" not in locals():
-					closest_airport_dict = airport
+                    closest_airport_dict = airport
-					closest_airport_dist = airport_dist
+                    closest_airport_dist = airport_dist
-				elif airport_dist < closest_airport_dist:
+                elif airport_dist < closest_airport_dist:
-					closest_airport_dict = airport
+                    closest_airport_dict = airport
-					closest_airport_dist = airport_dist
+                    closest_airport_dist = airport_dist
-		closest_airport_dict['distance_mi'] = closest_airport_dist
+        closest_airport_dict['distance_mi'] = closest_airport_dist
-		#Convert indent key to icao key as its labeled icao in other places not ident
+        # Convert indent key to icao key as its labeled icao in other places not ident
-		closest_airport_dict['icao'] = closest_airport_dict.pop('gps_code')
+        closest_airport_dict['icao'] = closest_airport_dict.pop('gps_code')
-		closest_airport_dict = add_airport_region(closest_airport_dict)
+        closest_airport_dict = add_airport_region(closest_airport_dict)
-	return closest_airport_dict
+    return closest_airport_dict
+
+
 def get_airport_by_icao(icao):
-	with open('./dependencies/airports.csv', 'r', encoding='utf-8') as airport_csv:
+    with open('./dependencies/airports.csv', 'r', encoding='utf-8') as airport_csv:
-		airport_csv_reader = csv.DictReader(filter(lambda row: row[0]!='#', airport_csv))
+        airport_csv_reader = csv.DictReader(filter(lambda row: row[0] != '#', airport_csv))
-		for airport in airport_csv_reader:
+        for airport in airport_csv_reader:
-			if airport['gps_code'] == icao:
+            if airport['gps_code'] == icao:
-				matching_airport = airport
+                matching_airport = airport
-				#Convert indent key to icao key as its labeled icao in other places not ident
+                # Convert indent key to icao key as its labeled icao in other places not ident
-				matching_airport['icao'] = matching_airport.pop('gps_code')
+                matching_airport['icao'] = matching_airport.pop('gps_code')
-				break
+                break
-		matching_airport = add_airport_region(matching_airport)
+        matching_airport = add_airport_region(matching_airport)
-		return matching_airport
+        return matching_airport