# The extractor gets the data
toilet_extr = ToiletExtractor(
'./data/oeffentlichetoilettenmuenchen2016-06-28.csv', 'latitude',
'longitude')
# The renderer deals with visual aspects of the map
renderer = DefaultRenderer(center=marienplatz,
zoom=12,
opacity=0.35,
color_scale=custom_color_scale,
tiles='cartodbdark_matter')
# Create a new heatmap
h_map = HeatMap(None,
geo_json,
filename='toilet',
square_size=500,
num_threads=100,
load_intermediate_results=True)
h_map.generate(toilet_extr.get_value)
h_map.normalize()
# Generate the polygon areas within 1km of a public toilet
h_map.generate_polygon(lambda v: v.get('lin_value', 999) < 1.0,
dash_array=[5, 5],
color='#0ef',
opacity=0.5,
weight=2)
# Render and save
h_map.render(renderer, before_saving=toilet_extr.add_markers)
return contents
def bikable_zone(unit):
if 'original_value' not in unit or unit.get('original_value') is None:
return False
return unit.get('original_value') > 1.5 and unit.get('bike_val') < 25
renderer = DefaultRenderer(center=home,
zoom=12,
opacity=0.5,
label=make_label,
color_scale=custom_color_scale)
h_map = HeatMap(home,
geo_json,
filename='bike_vs_ubahn',
square_size=800,
num_threads=100,
load_intermediate_results=True)
h_map.generate(calc_time)
h_map.normalize(normalize_log2_scale)
h_map.generate_polygon(bikable_zone,
color='#0012b3',
opacity=0.6,
weight=5,
dash_array=[1, 6])
h_map.render(
renderer,
before_saving=lambda r, _: r.add_circle(home, color='#0012b3', radius=20))