Fifteen Brooklyn Commutes

Here is my first attempt at slippymapper for the slippymapper tutorial. I chose to map some example commutes from Brooklyn neighborhoods to top employment locations in Manhattan.

import spatialpixel.mapping.slippymapper as slippymapper
import spatialpixel.google.directions as directions
import csv
def setup():
    size(1000, 800)
    
    pin = loadImage("https://s3.amazonaws.com/spatialpixel/maps/map-pin-10px.png")
    
    global NYC
    NYC = slippymapper.SlippyMapper(40.754913, -73.936527, 11, 'carto-light', 1000, 800)
    NYC.render()
    
    #open .csv
    with open('NTA_ForIDC1.csv') as f:
        reader = csv.reader(f)
        header = reader.next ()
        
        for row in reader:
            latitude = float(row[0])
            longitude = float(row[1])
            NYC.addMarker(latitude, longitude, pin)
    
    apiKey = 'Anna'sAPIKey'   # Enter your Google Directions API key
    neighborhood1 = (40.69547, -73.9949)
    employer1 = (40.717802, -74.004979)
    commute1 = directions.SlippyLayer(apiKey, neighborhood1, employer1, 'driving')
    NYC.addLayer(commute1)
    
    neighborhood2 = (40.69293, -73.986)
    employer2 = (40.761504, -73.983006)
    commute2 = directions.SlippyLayer(apiKey, neighborhood2, employer2, 'driving')
    NYC.addLayer(commute2)
    
    neighborhood3 = (40.71492, -73.9586)
    employer3 = (40.785164, -73.945412)
    commute3 = directions.SlippyLayer(apiKey, neighborhood3, employer3, 'driving')
    NYC.addLayer(commute3)
    
    neighborhood4 = (40.70056, -73.9178)
    employer4 = (40.767353, -73.984195)
    commute4 = directions.SlippyLayer(apiKey, neighborhood4, employer4, 'driving')
    NYC.addLayer(commute4)
    
    neighborhood5 = (40.67877, -74.0039)
    employer5 = (40.789973, -73.953480)
    commute5 = directions.SlippyLayer(apiKey, neighborhood5, employer5, 'driving')
    NYC.addLayer(commute5)
    
    neighborhood6 = (40.6908, -73.9749)
    employer6 = (40.704398, -74.012691)
    commute6 = directions.SlippyLayer(apiKey, neighborhood6, employer6, 'driving')
    NYC.addLayer(commute6)
    
    neighborhood7 = (40.70392, -73.9586)
    employer7 = (40.713962, -74.006554)
    commute7 = directions.SlippyLayer(apiKey, neighborhood7, employer7, 'driving')
    NYC.addLayer(commute7)
    
    neighborhood8 = (40.69151, -73.9499)
    employer8 = (40.805890, -73.962780)
    commute8 = directions.SlippyLayer(apiKey, neighborhood8, employer8, 'driving')
    NYC.addLayer(commute8)
    
    neighborhood9 = (40.664, -73.9103)
    employer9 = (40.841418, -73.943039)
    commute9 = directions.SlippyLayer(apiKey, neighborhood9, employer9, 'driving')
    NYC.addLayer(commute9)
    
    neighborhood10 = (40.68797, -73.9624)
    employer10 = (40.753807, -73.983674)
    commute10 = directions.SlippyLayer(apiKey, neighborhood10, employer10, 'driving')
    NYC.addLayer(commute10)
    
    neighborhood11 = (40.69646, -73.9251)
    commute11 = directions.SlippyLayer(apiKey, neighborhood11, employer10, 'driving')
    NYC.addLayer(commute11)
    
    neighborhood12 = (40.67123, -73.9839)
    commute12 = directions.SlippyLayer(apiKey, neighborhood12, employer9, 'driving')
    NYC.addLayer(commute12)
    
    neighborhood13 = (40.67764, -73.9676)
    commute13 = directions.SlippyLayer(apiKey, neighborhood13, employer8, 'driving')
    NYC.addLayer(commute13)
    
    neighborhood14 = (40.65236, -74.0113)
    employer11 = (40.751986, -74.003243)
    commute14 = directions.SlippyLayer(apiKey, neighborhood14, employer11, 'driving')
    NYC.addLayer(commute14)
    
    neighborhood15 = (40.67447, -73.9393)
    commute15 = directions.SlippyLayer(apiKey, neighborhood15, employer7, 'driving')
    NYC.addLayer(commute15)
NYC.render()
    
def draw():
    background(255)
    NYC.draw()