def build_ski_marker(location,
data,
width=475,
height=250,
icon_color='#966fd6',
chart_kw={}):
centroid = data[['latitude', 'longitude']].iloc[0].values
tooltip = 'Skiing in {:s}'.format(location)
chart = build_ski_chart(location,
data,
width=width - 75,
height=height - 25,
**chart_kw)
popup = Popup(max_width=width).add_child(
VegaLite(chart.to_json(), width=width, height=height))
icon_kw = dict(icon_shape='circle',
border_width=0,
text_color='white',
border_color='white',
background_color='black',
inner_icon_style='font-size:11px; padding-top: 1px;')
icon = BeautifyIcon('line-chart', **icon_kw)
marker = Marker(location=centroid, icon=icon, tooltip=tooltip, popup=popup)
return marker
def _folium_kwargs(self):
attrs = self._attrs.copy()
attrs['location'] = self.lat_lon
icon_args = {
k: attrs.pop(k)
for k in attrs.keys() & {
'color', 'marker_icon', 'clustered_marker', 'icon_angle',
'popup_width'
}
}
if 'marker_icon' in icon_args:
icon_args['icon'] = icon_args.pop('marker_icon')
if 'color' in icon_args and icon_args['color'][0] == '#':
# Checks if color provided is a hex code instead; if it is, uses BeautifyIcon to create markers.
# If statement does not check to see if color is an empty string.
icon_args['background_color'] = icon_args[
'border_color'] = icon_args.pop('color')
if icon_args['background_color'][1] == icon_args[
'background_color'][3] == icon_args['background_color'][
5] == 'f':
icon_args['text_color'] = 'gray'
else:
icon_args['text_color'] = 'white'
icon_args['icon_shape'] = 'marker'
if 'icon' not in icon_args:
icon_args['icon'] = 'circle'
attrs['icon'] = BeautifyIcon(**icon_args)
else:
attrs['icon'] = folium.Icon(**icon_args)
return attrs
def get_marker(self,
width=450,
height=250,
icon_color='#966fd6',
chart_kw={}):
chart = self.build_chart(width=width - 75,
height=height - 25,
**chart_kw)
popup = Popup(max_width=width).add_child(
VegaLite(chart.to_json(), width=width, height=height))
icon_kw = dict(icon_shape='circle',
border_width=0,
text_color='white',
border_color='white',
background_color='green',
inner_icon_style='font-size:11px; padding-top: 1px;')
icon = BeautifyIcon('line-chart', **icon_kw)
location = self.data.iloc[0][['latitude', 'longitude']].values
marker = Marker(location=location,
icon=icon,
tooltip=self.semantic,
popup=popup)
return marker
def add_photos_to_map(self,
clustered=True,
maxClusterRadius=20,
disableClusteringAtZoom=15,
zoomToBoundsOnClick=False,
spiderfyOnMaxZoom=True,
icon_color='#b3334f',
groupby=None,
**kwargs):
# add feature group
self.fgs['photos'] = FeatureGroup('Photos', show=True).add_to(self.map)
# create photo cluster object
if clustered:
dst = MarkerCluster(
maxClusterRadius=maxClusterRadius,
disableClusteringAtZoom=disableClusteringAtZoom,
showCoverageOnHover=False,
zoomToBoundsOnClick=zoomToBoundsOnClick,
spiderfyOnMaxZoom=spiderfyOnMaxZoom,
**kwargs).add_to(self.fgs['photos'])
else:
dst = self.fgs['photos']
# add photos to cluster object
for idx, photo in self.photos.iterrows():
xy = photo[self.GPS_INDEX].values.astype(float)
if groupby is not None:
gallery = photo[groupby]
else:
gallery = None
popup = ImagePopup(photo.imgur_id,
caption=photo.caption,
aspect=photo.image_aspect,
gallery=gallery).popup
icon = BeautifyIcon(
'camera',
border_width=0,
text_color=icon_color,
border_color=icon_color,
background_color='transparent',
inner_icon_style='font-size:20px;padding-top:-1px;')
Marker(
xy,
popup=popup,
tooltip=photo.caption,
icon=icon,
).add_to(dst)
def show_map(request):
#creation of map comes here + business logic
try:
a = request.session['logged']
except KeyError:
request.session['logged'] = False
if request.session['logged']:
user = userBase.objects.filter(mail=request.session['mail']).get()
store = magBase.objects.values_list('adress', flat=True)
store = list(store)
m = folium.Map(
location=[user.lat, user.lon],
zoom_start=15,
tiles='Stamen Terrain',
min_zoom=8,
width=1200, height=600
)
folium.TileLayer('openstreetmap').add_to(m)
number_icon = BeautifyIcon(icon='angle-double-down', icon_shape='marker',text_color="#000", border_color="transparent",
background_color="#22F", inner_icon_style="font-size:12px;padding-top:-5px;")
folium.Marker(
location=[user.lat, user.lon],
popup=folium.Popup(str(user.adress+'\nChez vous'), width=200),
icon=number_icon).add_to(m)
for item in store:
mag = magBase.objects.filter(adress=item).first()
number_icon = BeautifyIcon(icon='angle-double-down', icon_shape='marker',text_color="#000", border_color="transparent",
background_color="#2D2", inner_icon_style="font-size:12px;padding-top:-5px;")
folium.Marker(
location=[funcs.getlat_fadress(item), funcs.getlon_fadress(item)],
popup=folium.Popup(str(item + '\n' + mag.name), width=200),
icon=number_icon).add_to(m)
m=m._repr_html_() #updated
context = {'my_map': m}
return render(request, 'map/map.html', context)
else:
return render(request, 'map/access.html')
def draw_along_search_map(res, points, max_res_limit):
"""Function to draw returned result of along_search service on map"""
# draw home, destination, shortest route between them
tomtom_map = draw_route(points)
# create heat colors scale for markers to show Priority of the place
# we chose here blue gradients
colors = list(Color("#000080").range_to(Color("#d5e5ff"), max_res_limit))
# for each returened place
for ind, poi in enumerate(res['results']):
# calculate detour time for this place in minutes
detour_h, detour_min = convert_sec_to_h_m(poi['detourTime'], False)
#print(poi['detourTime'])
# create marker on the place has own size and color
icon_ = BeautifyIcon(
icon_shape='marker',
number=ind + 1,
spin=True,
text_color='gray',
icon_size=(40 - ind, 40 - ind),
border_color=str(colors[ind]),
background_color=str(colors[ind]),
inner_icon_style="font-size:12px;padding-top:-5px;")
# add a marker for each lat, lon
folium.Marker(
location=tuple(poi['position'].values()),
popup=folium.Popup(
f"<b>{poi['poi']['name']}</b> <br>{poi.get('address').get('streetName','')}, {poi['address']['municipalitySubdivision']}",
max_width=100),
icon=icon_,
tooltip=f"<b>{poi['poi']['name']}</b> <br> ({detour_min} mins)"
).add_to(tomtom_map)
return tomtom_map
def plot_map(geolocator, best_guess, coordinates, addresses, shops_names,
n_shops):
#location = geolocator.geocode("Rio de Janeiro, RJ, Brazil")
m = folium.Map(location=[-22.9385, -43.4060], zoom_start=11)
for ix, i in enumerate(best_guess):
popup = 'None'
color = '#000000'
if ix == 0:
popup = folium.Popup('Origem')
color = '#000000'
elif i > 0 and i <= n_shops:
popup = folium.Popup(
'{}a Parada<br>Abastecimento na Loja {}'.format(
ix, shops_names[i - 1]),
max_width=200)
color = '#2ca02c'
else:
popup = folium.Popup('{}a Parada<br>Entrega da Loja {}'.format(
ix, shops_names[i - 1]),
max_width=200)
color = '#BA3CC2'
icon_number = BeautifyIcon(border_color=color,
text_color='#000000',
number=ix,
icon_size=[30, 30],
inner_icon_style='margin_top:10;')
folium.Marker(location=[coordinates[i][0], coordinates[i][1]],
popup=popup,
tooltip=addresses[i],
icon=icon_number).add_to(m)
return m
color_by='velocity-level',
cmap='RdYlGn_09',
line_options=line_options2,
add_start_end=False)
# Find 1 km locations:
maxd = max(segment['Distance / km'])
locations = np.arange(1, maxd, 1)
location_idx = []
for j in locations:
diff = abs(j - segment['Distance / km'])
idx = np.argmin(diff)
location_idx.append(idx)
for dist, j in zip(locations, location_idx):
icon = BeautifyIcon(text_color='#262626',
border_color='#006d2c',
background_color='#ffffff',
number=dist,
icon_shape='marker',
border_width=3)
marker = folium.Marker(
location=segment['latlon'][j],
icon=icon,
tooltip=f'{dist} km',
popup=f'{segment["time"][j].strftime("%H:%M:%S")}',
)
marker.add_to(the_map)
# Add end marker:
marker = folium.Marker(
location=segment['latlon'][-1],
icon=folium.Icon(icon='home'),
tooltip=f'{segment["Distance / km"][-1]:.2f} km',
popup=f'{segment["time"][i].strftime("%H:%M:%S")}',
def lanza_mapa(self, dataframe, ruta_carpeta,from_excel=False):
colores=('blue','pink','orange','red','purple','yellow','green','brown','grey')
id_vehiculo=str(dataframe.index[0])
ruta_carpeta_vehiculo = ruta_carpeta+"\\vehiculo_{}".format(id_vehiculo)
if not os.path.exists(ruta_carpeta_vehiculo):
os.makedirs(ruta_carpeta_vehiculo)
WINDOW_SIZE = "680,530"
chrome_options = Options()
chrome_options.add_argument("--headless")
chrome_options.add_argument("--window-size=%s" % WINDOW_SIZE)
# chrome_options.binary_location = CHROME_PATH
#creamos 2 ventanas una para el cargando y otra para mostrar las pestañas
ventana_mapas = tk.Toplevel()
ventana_mapas.withdraw()
ventana_carga= tk.Toplevel()
tk.Label(ventana_carga, text='Cargando mapas').pack()
ventana_carga.update()
ventana_mapas.title("Maps vehicle " + id_vehiculo)
pestañas = Notebook(ventana_mapas)
# cargamos el selenium que de fondo va a renderizar los mapas
driver = selenium.webdriver.Chrome(chrome_options=chrome_options)
#cargamos el geojson de base
#geojson= r"C:\Users\Andrés\Desktop\mapa2.geojson"
geojson= r"D:\Documentos\GitHub\Aparcamientos-visualizacion---py\mapa.geojson"
dataframe_partida = dataframe
# dataframe_partida.set_index('ID', inplace=True, drop = False)
#cargamos los puntos medios de las calles y los puntos iniciales y finales para el path
calles_medio= pd.read_excel(r"D:\Documentos\GitHub\Aparcamientos-visualizacion---py\calles_medios.xls")
calles_medio.set_index('Name', inplace=True)
calles_inicio= pd.read_excel(r"D:\Documentos\GitHub\Aparcamientos-visualizacion---py\calles_inicios.xls")
calles_inicio.set_index('Name', inplace=True)
calles_fin= pd.read_excel(r"D:\Documentos\GitHub\Aparcamientos-visualizacion---py\calles_finales.xls")
calles_fin.set_index('Name', inplace=True)
id_coche=id_vehiculo
#cargamos las secciones donde ha intentado aparcar
print(type(dataframe_partida['Secciones intento aparcamiento']))
print(dataframe_partida['Secciones intento aparcamiento'])
if from_excel:
secciones_intento=ast.literal_eval(dataframe_partida['Secciones intento aparcamiento'])
utilidades=dataframe_partida['Utilidades iteraciones'].replace("L","").replace("nan","-999")
utilidades=ast.literal_eval(utilidades)
tracks_pintar=ast.literal_eval(dataframe_partida['track_secciones'])
else:
secciones_intento=dataframe_partida['Secciones intento aparcamiento']#
utilidades=dataframe_partida['Utilidades iteraciones']#ast.literal_eval(utilidades)
tracks_pintar=dataframe_partida['track_secciones']#ast.literal_eval(dataframe_partida['track_secciones'])
marcadores=[]
tracks_seguidos=[]
seccion_de_paso= dataframe_partida['Seccion de paso']=='si'
if seccion_de_paso:
utilidades=utilidades[:-1]
for elemento,iteracion in zip(utilidades, count(0)):
#marco ventanas
marco=Frame(pestañas)
#se carga el mapa centrado en la zona ded estudio
m = folium.Map(location=[43.463872, -3.798428], zoom_start=17,tiles='cartodbpositron')
#extraemos el nodo final de aparcamiento y de destino así como el de intento de esta iteración
aparcamiento=dataframe_partida['Nodo aparcamiento']
destino=dataframe_partida['Nodo destino']
intento_aparcamiento=secciones_intento[iteracion]
#marcador final parking
folium.Marker([calles_medio.loc[aparcamiento,'lat'], calles_medio.loc[aparcamiento,'long']], tooltip="Parking final", permanent=True,icon=folium.Icon(color='black')).add_to(m)
#ponemos los marcadores de los sitios de paso el destino
folium.Marker([calles_medio.loc[destino,'lat'], calles_medio.loc[destino,'long']], tooltip="Destino", permanent=True,icon=folium.Icon(color='green')).add_to(m)
# folium.Marker([calles_medio.loc[aparcamiento,'lat'], calles_medio.loc[aparcamiento,'long']], tooltip="Aparcamiento",icon=folium.Icon(color='red')).add_to(m)
marcador_paso=folium.Marker([calles_medio.loc[intento_aparcamiento,'lat'], calles_medio.loc[intento_aparcamiento,'long']], tooltip="Intento {}".format(str(iteracion)),permanent=True,icon=folium.Icon(color='blue'))
BeautifyIcon(number=iteracion+1, icon_shape='marker',border_color='blue').add_to(marcador_paso)
marcadores.append(marcador_paso)
for x in marcadores:
x.add_to(m)
#se manipula el df de utilidades y se pinta haciendo una capa nueva
utilidades_fin=pd.DataFrame.from_dict(elemento['utilidades'], columns=[ 'util'],orient='index')
utilidades_fin.reset_index(inplace=True)
utilidades_fin['index']=utilidades_fin['index'].apply(lambda x: str(x))
utilidades_fin.replace(-999,np.nan, inplace=True)
folium.Choropleth(
geo_data=geojson,
data=utilidades_fin,
columns=['index', 'util'],
key_on='feature.properties.Name',
fill_color='OrRd',
legend_name='Utility',
).add_to(m)
#cogemos el track del vehiculo que estamos siguiendo
track_total=[]
for seccion in tracks_pintar[iteracion]:
track_total.append((calles_inicio.loc[seccion,'lat'],calles_inicio.loc[seccion,'long']))
track_total.append((calles_fin.loc[seccion,'lat'],calles_fin.loc[seccion,'long']))
track_iter=AntPath(tuple(track_total),color= colores[iteracion])
tracks_seguidos.append(track_iter)
for viaje in tracks_seguidos:
viaje.add_to(m)
# se guarda el mapa y se saca el pantallazo
ruta_mapa=ruta_carpeta_vehiculo+'mapa{}.html'.format(str(iteracion))
m.save(ruta_mapa)
driver.get(ruta_mapa)
ruta_imagen=ruta_carpeta_vehiculo+'\\screenshot{}.png'.format(str(iteracion))
driver.save_screenshot(ruta_imagen)
print(ruta_imagen)
#añadimos una pestaña con el pantallazo y el enlace al mapa
img = ImageTk.PhotoImage(Image.open(ruta_imagen))
label=tk.Label(marco,text=ruta_imagen, image=img)
label.image=img
label.pack()
tk.Label(marco,text='For a better user experience open maps in browser is recomended').pack()
tk.Button(marco, text="Open map in browser",
command= lambda : webbrowser.open(ruta_mapa, new=2)).pack()
pestañas.add(marco, text="Iteration {}".format(str(iteracion)), padding=10)
driver.close()
pestañas.pack(padx=10, pady=10)
ventana_carga.destroy()
ventana_mapas.deiconify()
def add_travel_to_map(self,
flight_color='darkred',
train_color='green',
drive_color='black',
weight=3,
show=False,
drive_kwargs={}):
# add feature group
if self.trip_ids is not None:
for trip_id in self.trip_ids:
self.fgs[trip_id] = FeatureGroup(trip_id,
show=show).add_to(self.map)
# add start/finish
icon_kw = dict(icon_shape='marker',
border_width=2,
text_color='black',
border_color='black',
background_color='white',
inner_icon_style='font-size:14px; padding-top:-1px;')
start, finish = self.bounds
# add segments
arrived = {k: False for k in self.trip_ids}
for flight in self.air:
for trip_id in flight.trip_ids:
if trip_id not in self.fgs.keys():
continue
if not arrived[trip_id] or trip_id == 'Return Flights':
arrived[trip_id] = True
for leg in flight.legs:
obj = leg.get_line(color=flight_color,
weight=weight,
opacity=0.5).add_to(
self.fgs[trip_id])
if leg.is_connection:
tooltip = 'Layover in {:s}'.format(
leg.destination_str)
else:
tooltip = 'Arriving from {:s}'.format(
leg.origin_str)
# arrival icon
_ = Marker(
leg.destination[flight.GPS_INDEX].values,
icon=BeautifyIcon('arrow-down', **icon_kw),
tooltip=tooltip,
).add_to(self.fgs[trip_id])
else:
# departure icon
_ = Marker(
flight.origin[flight.GPS_INDEX].values,
icon=BeautifyIcon('plane', **icon_kw),
tooltip='Departing to {:s}'.format(
flight.destination_str),
).add_to(self.fgs[trip_id])
for train in self.rail:
for trip_id in train.trip_ids:
if trip_id not in self.fgs.keys():
continue
obj = train.get_antpath(color=train_color,
weight=weight,
opacity=0.5)
obj.add_to(self.fgs[trip_id])
for drive in self.land:
for trip_id in drive.trip_ids:
if trip_id not in self.fgs.keys():
continue
options = {'smoothFactor': 10}
try:
obj = drive.get_antpath(color=drive_color,
weight=weight,
options=options,
**drive_kwargs)
obj.add_to(self.fgs[trip_id])
except:
print('No drive segments found in {:s}'.format(
drive.caption))
def render(g,
nodes,
edges,
file_name_out,
markers=False,
lines=False,
host="localhost",
port=5000,
prefix=""):
from limic.util import start, end, status, file_size
from folium import Map, Marker, Icon, PolyLine
from folium.plugins import BeautifyIcon
from binascii import hexlify
from pathlib import Path
from math import log2
from pkg_resources import resource_string
start("Rendering graph")
min_lat = min_long = float('inf')
max_lat = max_long = -float('inf')
for n in nodes:
if n[1] < min_lat: min_lat = n[1]
if n[2] < min_long: min_long = n[2]
if n[1] > max_lat: max_lat = n[1]
if n[2] > max_long: max_long = n[2]
m = Map()
m.fit_bounds([(min_lat, min_long), (max_lat, max_long)])
if markers:
for n in nodes:
Marker(n[1:3],
icon=BeautifyIcon(icon='none',
iconStyle="opacity: 0.1;",
borderColor='#7f7f00',
backgroundColor='#ffff00'),
tooltip=("id: %d" % n[0])).add_to(m)
if lines:
for u, v, weight in edges:
PolyLine([u[1:3], v[1:3]],
color="#3f3f00",
opacity=0.4,
weight=6,
tooltip=("weight: %.1f" % weight)).add_to(m)
TEMPLATE = resource_string("limic", "render.js").decode('utf8')
from branca.element import MacroElement, Template
class LatLngListener(MacroElement):
_template = Template(TEMPLATE % {
'host': host,
'port': port,
'prefix': prefix
})
def __init__(self):
super(MacroElement, self).__init__()
self._name = 'LatLngListener'
LatLngListener().add_to(m)
end()
start("Saving result to HTML file", file_name_out)
#m.save(file_name_out)
end('')
file_size(file_name_out)
return g, nodes
def save_path(costpath, out_file=None, visualize=False):
from sys import stdout
if visualize and not out_file:
status("WARNING (use --output to specify HTML file) ", end='')
visualize = False
cost, path = costpath
if visualize:
from folium import Map, Marker, Icon, PolyLine
from folium.plugins import BeautifyIcon
from binascii import hexlify
from webbrowser import open as wopen
from pathlib import Path
from math import log2
min_lat = min_long = float('inf')
max_lat = max_long = -float('inf')
for x in path:
if x[4] < min_lat: min_lat = x[4]
if x[5] < min_long: min_long = x[5]
if x[4] > max_lat: max_lat = x[4]
if x[5] > max_long: max_long = x[5]
m = Map()
m.fit_bounds([(min_lat, min_long), (max_lat, max_long)])
start_color = (63, 255, 63)
end_color = (63, 63, 255)
diff_color = tuple(
map(lambda x: x[0] - x[1], zip(end_color, start_color)))
length = float(len(path))
for i in range(len(path)):
x = path[i]
background_color = "#" + hexlify(
bytes(
map(lambda x: int(x[0] + i * x[1] / length),
zip(start_color, diff_color)))).decode('utf8')
border_color = "#" + hexlify(
bytes(
map(lambda x: int((x[0] + i * x[1] / length) / 2),
zip(start_color, diff_color)))).decode('utf8')
line_color = background_color
line_weight = 6
icon = None
iconStyle = ""
if x[3] < 0:
icon = 'times'
background_color = "#ffff3f"
border_color = "#7f1f1f"
elif x[2]:
icon = 'flash'
background_color = "#ff0000"
border_color = "#7f0000"
line_color = background_color
line_weight = 10
elif i + 1 < len(path) and path[i + 1][2]:
icon = 'flash'
background_color = "#ff0000"
border_color = "#7f0000"
elif i == 0 or i + 1 == len(path):
icon = 'flash'
else:
icon = 'none'
iconStyle = "opacity: 0.1;"
if i > 0 and cost is not None:
PolyLine([path[i - 1][4:6], path[i][4:6]],
color=line_color,
opacity=0.4,
weight=line_weight).add_to(m)
if icon:
Marker(x[4:6],
icon=BeautifyIcon(icon=icon,
iconStyle=iconStyle,
borderColor=border_color,
backgroundColor=background_color),
popup=("cost: %.1fm, dist: %.1fm, air: %r, id: %d" %
x[:4])).add_to(m)
m.save(out_file)
wopen(Path(out_file).resolve().as_uri(), new=2)
else:
file = open(out_file, "w") if out_file else stdout
print("node(id:" + ",".join(map(lambda x: str(x[3]), path)) + ");out;",
file=file)
print("Plotting Map...")
m = Map(location=[0, 0], zoom_start=2)
for index, row in poi_list.iterrows():
color = "#%06x" % random.randint(0, 0xFFFFFF)
if row["Count"] > 0:
Circle(
location = (row["Latitude"], row["Longitude"]),
radius = int(row["MaximumDistance"]),
color = color,
fill_color = color
).add_to(m)
Marker(
location=[row["Latitude"], row["Longitude"]],
popup=Popup(row["POIID"] + ", Popularity: " + "{0:.2f}".format(row["Popularity"]) + ", Count: " + "{0:.0f}".format(row["Count"]), sticky=True, show=True),
icon=BeautifyIcon(background_color=color, icon='marker'),
draggable=False
).add_to(m)
marker_cluster = MarkerCluster().add_to(m)
for index, row in without_duplicates.iterrows():
Marker(
location=[row["Latitude"], row["Longitude"]],
popup= "Nearest POI: " + row["POI"],
# icon=Icon(color='green', icon='ok-sign'),
draggable=False
).add_to(marker_cluster)
outfp = "output/basemap.html"
def add_dwelling_marker_to_map(m, dwelling, icon_type):
x, y = parse_geometry(dwelling['geometry'])
lon, lat = rijksdriehoek_to_wsg84(x, y)
def percentage(key):
return f'{dwelling[key] * 100:.1f}%'
def numeric_range(key):
mean = dwelling[f'{key}_mean']
range_ = dwelling[f'{key}_95']
if type(range_) == str:
lower = range_.replace('[', '').replace(']', '').split(',')[0]
upper = range_.replace('[', '').replace(']', '').split(',')[1]
return f'{mean} (95%: {lower} to {upper})'
else:
lower = range_.lower
upper = range_.upper
return f'{mean:.1f} (95%: {lower:.1f} to {upper:.1f})'
results = {
'Base data': {
'vbo ID':
f"<samp>{dwelling['vbo_id']}</samp>",
'coordinates':
f'({lon:.2f}, {lat:.2f})',
'construction year':
dwelling['bouwjaar'],
'surface area':
f"{dwelling['oppervlakte']} m<sup>2</sup>",
'dwelling type':
f"{dwelling['woningtype'].replace('_', ' ')}",
'neighbourhood':
f"{dwelling['buurt_name']} (<samp>{dwelling['buurt_id']}</samp>)"
},
'Energy label': {
'measured': dwelling['energy_label_class'],
'predicted': numeric_range('energy_label_class')
},
'Space heating': {
'district heating': percentage('district_heating_space_p'),
'block heating': percentage('block_heating_space_p'),
'gas boiler': percentage('gas_boiler_space_p'),
'electric boiler': percentage('elec_boiler_space_p'),
'hybrid heat pump': percentage('hybrid_heat_pump_p'),
'electric heat pump': percentage('electric_heat_pump_p')
},
'Water heating': {
'district heating': percentage('district_heating_water_p'),
'block heating': percentage('block_heating_water_p'),
'gas boiler': percentage('gas_boiler_water_p'),
'electric boiler': percentage('elec_boiler_water_p'),
'electric heat pump': percentage('electric_heat_pump_water_p')
},
'Cooking': {
'gas': percentage('gas_cooking_p'),
'electric': percentage('electric_cooking_p')
},
'Insulation': {
'facade R': numeric_range('insulation_facade_r'),
'roof R': numeric_range('insulation_roof_r'),
'floor R': numeric_range('insulation_floor_r'),
'windows R': numeric_range('insulation_window_r')
}
}
table = '<table>'
for key, val in results.items():
for index, (key_2, val_2) in enumerate(val.items()):
table += f'<tr class="{"new-cat" if index == 0 else ""}">\n'
table += f'\t<td>{key if index == 0 else ""}</td>\n'
table += f'\t<td>{key_2}</td>\n'
table += f'\t<td>{val_2}</td>\n'
table += '</tr>\n'
table += '</table>'
style = '''
<style>
* {
font-size: 16px;
font-family: -apple-system, BlinkMacSystemFont, sans-serif
}
td {
padding-top: 5px;
padding-right: 20px;
}
tr.new-cat > td {
padding-top: 15px
}
td:nth-child(1) { font-weight: bold }
td:nth-child(2) { font-weight: bold; text-align: right; }
td:nth-child(3) { }
</style>
'''
html = f'''
{style}
<div style="width: 45vw; height: 70vh; position: relative">
<div style="border-bottom: 2px solid #ddd; margin-bottom: 10px">
<h3>Dwelling: {dwelling['adres'].replace('_', ' ')}</h3>
</div>
<div style='overflow-y: auto; height: 90%'>
{table}
</div>
</div>
'''
my_popup = folium.Popup(html)
if icon_type == 'house':
icon = folium.Icon(icon='home', prefix='fa')
else:
icon = BeautifyIcon(
icon_shape='circle-dot',
border_color=get_energy_label_colour(dwelling),
border_width=4,
)
folium.Marker((lon, lat), popup=my_popup, icon=icon).add_to(m)
parse_dates=["Open_From", "Open_To"]
)
# Plot the locations on the map with more info in the ToolTip
for location in deliveries_data.itertuples():
tooltip = folium.map.Tooltip("<h4><b>ID {}</b></p><p>Supplies needed: <b>{}</b></p>".format(
location.Index, location.Needed_Amount
))
folium.Marker(
location=[location.Lat, location.Lon],
tooltip=tooltip,
icon=BeautifyIcon(
icon_shape='marker',
number=int(location.Index),
spin=True,
text_color='red',
background_color="#FFF",
inner_icon_style="font-size:12px;padding-top:-5px;"
)
).add_to(m)
# The vehicles are all located at the port of Beira
depot = [-19.818474, 34.835447]
folium.Marker(
location=depot,
icon=folium.Icon(color="green", icon="bus", prefix='fa'),
setZIndexOffset=1000
).add_to(m)
m
tloc = tloc.drop(tloc.index[0])
tloc[["Latitute", "Longitude"]] = tloc[["Latitute",
"Longitude"]].apply(pd.to_numeric)
tloc = tloc[tloc['Latitute'].notnull()]
mc2 = MarkerCluster(icon_create_function=icon_create_function_test)
# plot testing center data
testing_feature = FeatureGroup(name='Testing Centers')
for row in tloc.itertuples():
# folium.Marker((row.Latitute, row.Longitude), popup=folium.Popup('<a href="%s" target="_blank"> %s </a>' %
# (row.URL, row._2)), icon=folium.Icon(color='lightblue', icon='medkit', prefix='fa')).add_to(testing_feature)
folium.Marker((row.Latitute, row.Longitude),
popup=folium.Popup('<a href="%s" target="_blank"> %s </a>' %
(row.URL, row._2)),
icon=BeautifyIcon(icon='medkit',
icon_shape='marker',
background_color="#009FDC")).add_to(mc2)
mc2.add_to(testing_feature)
testing_feature.add_to(covid_map)
# ------------- plot traffic ------- #
# testing_traffic = FeatureGroup(name='Present Traffic')
# # CO cellphone data
# codf = pd.read_csv('https://raw.githubusercontent.com/nthakor/imghost/master/denver-06-16-1100-1159.csv')
# for i, row in codf.iterrows():
# folium.Marker(location=[row.lat1, row.lon1],
# icon=BeautifyIcon(icon='car')).add_to(testing_traffic)
# # MD cellphone data
# mddf1 = pd.read_csv(