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[47.754100, -43.94531],
[38.272690, -37.96875],
[27.059130, -41.13281],
[16.299050, -36.56250],
[8.4071700, -30.23437],
[1.0546300, -22.50000],
[-8.754790, -18.28125],
[-21.61658, -20.03906],
[-31.35364, -24.25781],
[-39.90974, -30.93750],
[-43.83453, -41.13281],
[-47.75410, -49.92187],
[-50.95843, -54.14062],
[-55.97380, -56.60156]]
wind_line = folium.PolyLine(wind_locations, weight=15, color='#8EE9FF')
attr = {'fill': '#007DEF', 'font-weight': 'bold', 'font-size': '24'}
wind_textpath = plugins.PolyLineTextPath(wind_line,
') ',
repeat=True,
offset=7,
attributes=attr)
m.add_child(wind_line)
m.add_child(wind_textpath)
out = normalize(m._parent.render())
# We verify that the script import is present.
script = '' # noqa
assert script in out
# compose the tooltip
tooltip = str(i) + ': ' + branch.name
tooltip += '\n' + loading_label + ': ' + "{:10.4f}".format(lnorm[i] * 100) + ' [%]'
if s_branch is not None:
tooltip += '\nPower: ' + "{:10.4f}".format(s_branch[i]) + ' [MVA]'
if losses is not None:
tooltip += '\nLosses: ' + "{:10.4f}".format(losses[i]) + ' [MVA]'
# get the line colour
r, g, b, a = loading_cmap(lnorm[i])
color = QtGui.QColor(r * 255, g * 255, b * 255, a * 255)
html_color = color.name()
weight = 3
# draw the line
folium.PolyLine(points,
color=html_color,
weight=weight,
opacity=1,
tooltip=tooltip).add_to(marker_cluster)
# save the map
my_map.save(file_name)
print('Map saved to:\n' + file_name)
def a(df, line_name, pal, m):
def c(df, line_name):
line = df[df.route_id == line_name]
stops = line[line.stop_sequence == 0].append(line[-1:])
coords = [[row[1]['y'], row[1]['x']] for row in line.iterrows()]
stops = [[row[1]['y'], row[1]['x']] for row in stops.iterrows()]
return coords, stops
coords, stops = c(df, line_name)
color = pal[line_name]
fg = folium.FeatureGroup(name='Route ' + str(line_name))
fg.add_child(folium.PolyLine(coords, weight=3, opacity=0.75, color=color))
for point in stops:
if point == stops[0]:
fc = [4, '#006600']
elif point == stops[-2]:
fc = [4, '#CC0000']
else:
fc = [2, '#FFFFFF']
cm = folium.CircleMarker(
point, color=color, fill=True,
fill_color=fc[1], fill_opacity=1, radius=fc[0])
fg.add_child(cm)
m.add_child(fg)
[47.754100, -43.94531],
[38.272690, -37.96875],
[27.059130, -41.13281],
[16.299050, -36.56250],
[8.4071700, -30.23437],
[1.0546300, -22.50000],
[-8.754790, -18.28125],
[-21.61658, -20.03906],
[-31.35364, -24.25781],
[-39.90974, -30.93750],
[-43.83453, -41.13281],
[-47.75410, -49.92187],
[-50.95843, -54.14062],
[-55.97380, -56.60156]]
wind_line = folium.PolyLine(wind_locations,
weight=15,
color='#8EE9FF').add_to(m)
attr = {'fill': '#007DEF', 'font-weight': 'bold', 'font-size': '24'}
plugins.PolyLineTextPath(wind_line,
") ",
repeat=True,
offset=7,
attributes=attr).add_to(m)
danger_line = folium.PolyLine([[-40.311, -31.952],
[-12.086, -18.727]],
weight=10,
color='orange',
opacity=0.8).add_to(m)
attr = {'fill': 'red'}
plugins.PolyLineTextPath(danger_line,
>>> save_bbox(bbox, 'bbox.html')
"""
m = folium.Map(tiles=tiles)
m.fit_bounds(
[[bbox_tuple[0], bbox_tuple[1]], [bbox_tuple[2], bbox_tuple[3]]]
)
points_ = [
(bbox_tuple[0], bbox_tuple[1]),
(bbox_tuple[0], bbox_tuple[3]),
(bbox_tuple[2], bbox_tuple[3]),
(bbox_tuple[2], bbox_tuple[1]),
(bbox_tuple[0], bbox_tuple[1]),
]
folium.PolyLine(points_, weight=3, color=color).add_to(m)
m.save(file)
if return_map:
return m
startpoint_ll = get_lat_lng(startpoint,api_key)
m = folium.Map(location=startpoint_ll,zoom_start=14)
icon_hz = dict(prefix='fa', color='red', icon_color='darkred', icon='cny')
folium.Marker(startpoint_ll, popup = startpoint,icon=folium.Icon(color='green')).add_to(m)
for i in range(len(df)):
folium.Marker([df.iloc[i]['lat'],df.iloc[i]['lng']],
popup='Attraction: '+df.iloc[i]['attraction']+ '; Address: '+df.iloc[i]['address']
+ '; Duration: ' +str(df.iloc[i]['duration'])+' hour(s); Type: ' +df.iloc[i]['type']
+ '; Link: ' +df.iloc[i]['attraction_link']
).add_to(m)
for i in route_edges:
lat1 = df2[df2['attraction']==i[0]]['lat'].iloc[0]
lng1 = df2[df2['attraction']==i[0]]['lng'].iloc[0]
lat2 = df2[df2['attraction']==i[1]]['lat'].iloc[0]
lng2 = df2[df2['attraction']==i[1]]['lng'].iloc[0]
ls = folium.PolyLine(locations=[[lat1,lng1],[lat2,lng2]],color='blue')
ls.add_to(m)
return m
# get_map(startpoint,df2)
loc = np.mean([r.start_coord() for r in routes], axis=0).tolist()
run_map = folium.Map(location=loc, tiles=args.tileset, zoom_start=14)
coords = [r.coords for r in routes]
if args.color_by == 'none':
lines = folium.PolyLine(coords, color='red', opacity=0.6)
run_map.add_child(lines)
else:
meta_fn = METADATA_FNS[args.color_by]
meta = np.array([meta_fn(route) for route in routes])
# TODO: make the colors/labels work for simple numeric metas
hex_colors = color_mapping(meta.astype(int), args.line_colormap)
color_labels = meta.astype(str)
for traj, c, label in zip(coords, hex_colors, color_labels):
line = folium.PolyLine(traj, color=c, popup=label)
run_map.add_child(line)
# save the map to the output html file
run_map.save(args.output, close_file=True)
# reduce file size and optionally add a css tweak to make the map grayscale
dont_add_css = bool(args.color_tiles)
for line in fileinput.input(args.output, inplace=True):
line = line.strip()
if not line:
continue
if dont_add_css or line != '':
print(line)
else:
print(GRAY_CSS, line)
dont_add_css = True