2019-05-21 23:10:20 +02:00
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#!/usr/bin/env python3
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from geopy import Nominatim
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2019-06-05 11:00:53 +02:00
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# ~ import json
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2019-06-05 11:40:34 +02:00
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import sys
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2019-05-21 23:10:20 +02:00
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2019-06-05 11:40:34 +02:00
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# ~ fn="ct-csv"
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if len(sys.argv) == 2:
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fn = sys.argv[1]
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else:
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2019-06-06 12:19:19 +02:00
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print("in case you do know know what you are doing, better call via e.g. `create-geojson.sh`.\n");
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2019-06-05 11:40:34 +02:00
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print("expecting one argument: csv-file.");
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print("received "+str(len(sys.argv))+" argument(s): "+str(sys.argv));
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sys.exit(1) # exit with error
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2019-05-21 23:10:20 +02:00
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2019-06-05 11:40:34 +02:00
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# for retreiving geo coordinates from addresses
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geolocator = Nominatim(user_agent="my-mapper")
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2019-06-06 00:33:26 +02:00
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# lat: 0=111,1km,1=11km,2=1km… lng: 0=70km,1=7km,2=.7km…
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2019-06-05 12:04:07 +02:00
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precision = 2
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2019-06-05 11:40:34 +02:00
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# get data from file
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2019-05-21 23:10:20 +02:00
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with open( fn, 'r' ) as fp:
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2019-06-05 11:00:53 +02:00
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for place in fp:
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#error handling: expect
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arrAddress = place.split(",")
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2019-06-06 12:19:19 +02:00
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strAddress = ",".join(arrAddress[2:5])
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print( strAddress )
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2019-06-05 11:00:53 +02:00
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location = geolocator.geocode( strAddress )
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2019-05-21 23:10:20 +02:00
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if location is not None: # its a class
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2019-06-05 11:00:53 +02:00
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# todo: ceil coords to hide true location in format string
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# ~ strCoordPlace = '{:s},{:.6f},{:.6f}'.format( arrAddress[3], location.latitude, location.longitude )
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2019-06-05 12:30:06 +02:00
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geojson = '{{"type":"Feature","geometry":{{"type":"Point","coordinates":[{:.'+str(precision)+'f},{:.'+str(precision)+'f}]}},"properties":{{"name":"{:s}","marker":"{:s}"}}}}';
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2019-06-06 12:19:19 +02:00
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strCoordPlace = geojson.format( location.latitude, location.longitude, arrAddress[1], fn.split("-")[0] )
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2019-06-05 11:00:53 +02:00
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# ~ {"type": "Feature","geometry": {"type": "Point","coordinates":[125.6, 10.1]},"properties":{"name":"Dinagat Islands"}}
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print ( strCoordPlace )
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2019-06-05 11:40:34 +02:00
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# exit fine
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sys.exit(0)
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2019-06-05 11:00:53 +02:00
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# ~ m = folium.Map( # etc..)
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# ~ m.save("filename.png")
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# ~ https://github.com/python-visualization/folium/issues/35#issuecomment-164784086
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# ~ https://github.com/wbkd/leaflet-mapshot
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# ~ https://stackoverflow.com/questions/44800396/python-ipyleaflet-export-map-as-png-or-jpg-or-svg
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# ~ m = folium.Map(location=[51, 13], zoom_start=5, tiles='Stamen Toner') # Mapbox Bright , CartoDB Positron
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