WiGLE Cellular .csv to .kml

Cellular-csvtokml.py

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+import os
+import csv
+
+def csv_to_kml(csv_file, kml_file):
+    # Open CSV file for reading
+    with open(csv_file, 'r') as csvfile:
+        csvreader = csv.DictReader(csvfile)
+        # Open KML file for writing
+        with open(kml_file, 'w') as kmlfile:
+            kmlfile.write('<?xml version="1.0" encoding="UTF-8"?>\n')
+            kmlfile.write('<kml xmlns="http://www.opengis.net/kml/2.2">\n')
+            kmlfile.write('<Document>\n')
+            for row in csvreader:
+                # Extract relevant columns
+                lat, lon = row['trilat'], row['trilong']
+                network_id = row['id']
+                # Write Placemark with relevant information
+                kmlfile.write('<Placemark>\n')
+                kmlfile.write('<name>{}</name>\n'.format(network_id))
+                kmlfile.write('<description>ID: {}</description>\n'.format(network_id))
+                kmlfile.write('<Point>\n')
+                kmlfile.write('<coordinates>{},{},0</coordinates>\n'.format(lon, lat))
+                kmlfile.write('</Point>\n')
+                kmlfile.write('</Placemark>\n')
+            kmlfile.write('</Document>\n')
+            kmlfile.write('</kml>\n')
+
+def convert_csv_files_to_kml(input_dir):
+    # Iterate over files in the input directory
+    for file_name in os.listdir(input_dir):
+        if file_name.endswith('.csv'):
+            csv_file = os.path.join(input_dir, file_name)
+            kml_file = os.path.join(input_dir, os.path.splitext(file_name)[0] + '.kml')
+            csv_to_kml(csv_file, kml_file)
+
+# Specify the directory containing your CSV files
+input_directory = r'YOUR DIRECTORY'
+
+convert_csv_files_to_kml(input_directory)