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Two Python scripts that can be used to create animated route maps to multiple locations
import pandas as pd
import urllib.request
# path to your csv file with the endpoint coordinates
coordinates = pd.read_csv('swe_points.csv')
# graphhopper API call building blocks. Check Graphhopper documentation how to modify these.
urlStart = 'http://localhost:8989/route?'
point = 'point='
urlEnd = '&type=gpx&instructions=false&vehicle=car'
separator = '%2C'
# The starting point for each query (lat, lon). Use e.g. QGIS to change these.
startY = '59.3250'
startX = '18.0691'
# Make the API calls for each row in you CSV file and save the results to individual .gpx files.
for index, row in coordinates.iterrows():
req = urlStart + point + startY + separator + startX + '&' + point + str(row['Y']) + separator + str(row['X']) + urlEnd
resp = urllib.request.urlopen(req)
gpxData = str(,'utf-8')
fileName = 'sweden_' + str(index)
saveFile = open('gpx_files/{0}.gpx'.format(fileName), 'w')
print('processed index ' + str(index))
print('bad request on index ' + str(index))
import gpxpy
import csv
import os
import re
#create csv file called merged.csv to working directory and give column names x, y & t
with open(r'sweden.csv', 'a') as f:
writer = csv.writer(f, quoting=csv.QUOTE_NONE, escapechar=' ', lineterminator='\n')
#create a folder for your files manually
for file in os.listdir('sweden'):
filePath = 'sweden/' + file
gpx_file = open(filePath, 'r')
gpx = gpxpy.parse(gpx_file)
count = 0
#iterate through rows and append each gpx row to merged csv
for track in gpx.tracks:
for segment in track.segments:
for point in segment.points:
fields=['{0},{1},{2}'.format(point.latitude, point.longitude, point.time)]
#Here double whitespace is removed so QGIS accepts the time format
re.sub(' +',' ',fields[0])
#Graphhopper creates quite a lot of GPX points and for this purpose every second is enough.
count += 1
if count % 2 == 0:
with open(r'merged.csv', 'a') as f:
writer = csv.writer(f, quoting=csv.QUOTE_NONE, escapechar=' ', lineterminator='\n')
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