def zoning_dict2map(zones,translated_geoms):
threshold = .00000005 #choose this by trial and error, or inspecting VWSimplifier.ordered_thresholds of an example polygon
mymap = Map()
n = len(zoning.keys())
n = 3 if n<3 else n
colors = get_map('Dark2','Qualitative',n).hex_colors.__iter__()
print("building datasets")
for appname,datasets in zoning.items():
appcolor = colors.next()
thisapp = App(sanitize_id(appname),title=appname)
mymap.apps.append(thisapp)
num_datasets = len(datasets)+3 #don't go to gradient.end
datacoloriter = gradient(num_datasets,
start=hex2rgb(appcolor))
for dataname,zone_fields in sorted(datasets.items()):
color = datacoloriter.next()
dset = DataSet(sanitize_id(dataname),title=dataname,
latlon=False,key_color=color,precision=9)
thisapp.datasets.append(dset)
for i,z in enumerate(zones):
for target in zone_fields:
if target in z:
geom = translated_geoms[i]
if geom.geom_name == 'POLYGON':
dset.add_polygon([geom.tuple],
threshold=threshold,fillColor=color,
strokeColor=color)
elif geom.geom_name == 'MULTIPOLYGON':
dset.add_polygon(geom.tuple,
threshold=threshold,fillColor=color,
strokeColor=color)
print("building map")
mymap.build_page(zoom=13)
#
# An example of building data from an app
#
#
###
WhereWeMeet_data = {
'id': 'WhereWeMeet', #used for tag names
'title': 'Average Drive Time', #used for display
}
app_id = 'wherewemeet'
contour_app = App(app_id, title="Composite Drive Time")
for i, d in enumerate(App3.data()):
this = DataSet('%s%s' % (app_id, i), title=d['keyValue'])
this.add_polygon(d['polygon'],
fillColor=d['fillColor'],
strokeColor=d['strokeColor'],
fillOpacity=d['fillOpacity'])
this.key_color = d['fillColor']
print d['fillColor']
contour_app.datasets.append(this)
if __name__ == '__main__':
Austin = [30.320000, -97.770000]
mymap = map_from_csvs(data_dir='./example_data')
mymap.build_page(center=Austin, zoom=5, outfile='from_csv_example.html')
mymap.apps.append(contour_app)
mymap.build_page(center=Austin, zoom=9, outfile='two_apps.html')
#translate all geoms to (lon,lat)
_world_spatref = SpatialReference('WGS84')
coord_transform = CoordTransform(geoms[0].srs,_world_spatref)
for geom in geoms:
geom.transform(coord_transform)
print("building datasets")
bigmap = Map()
appcolor = -1 #used to generate a unique color for each app
for app_name in zone_dict.keys():
appcolor += 1
this_app = App(app_name,title=app_name)
bigmap.apps.append(this_app)
n = len(zone_dict[app_name])+1
colors = gradient(n,start=int2rgb(appcolor))
for datasetname, indices in sorted(zone_dict[app_name].items(),key=lambda item: len(item[1]),reverse=True):
color = colors.next()
#the x is to uniqueify the dataset id from the app
sane_name = '%sx'%'x'.join(datasetname.split('-'))
dset = DataSet(sane_name,key_color=color,title=datasetname,latlon=False,precision=8)
this_app.datasets.append(dset)
for i in indices:
geom = geoms[i]
if geom.geom_name == 'POLYGON':
dset.add_polygon([geom.tuple],threshold=.005,fillColor=color)
elif geom.geom_name == 'MULTIPOLYGON':
dset.add_polygon(geom.tuple,threshold=.005,fillColor=color)
print("building map")
bigmap.build_page(zoom=11)
# An example of building data from an app
#
#
###
WhereWeMeet_data = {
'id' : 'WhereWeMeet', #used for tag names
'title': 'Average Drive Time', #used for display
}
app_id = 'wherewemeet'
contour_app = App(app_id,title="Composite Drive Time")
for i,d in enumerate(App3.data()):
this = DataSet('%s%s'%(app_id,i),title = d['keyValue'])
this.add_polygon(d['polygon'],fillColor=d['fillColor'],strokeColor=d['strokeColor'],fillOpacity=d['fillOpacity'])
this.key_color = d['fillColor']
print d['fillColor']
contour_app.datasets.append(this)
if __name__ == '__main__':
Austin = [30.320000, -97.770000]
mymap = map_from_csvs(data_dir = './example_data')
mymap.build_page(center=Austin,zoom=5,outfile='from_csv_example.html')
mymap.apps.append(contour_app)
mymap.build_page(center=Austin,zoom=9,outfile='two_apps.html')
