def add_tweets(geo_tweets, cluster, tweets_map):
"""Add all geo enabled tweets on the map."""
# Define subgroups for LayerControl
coords_count = sum(1 for t in geo_tweets if t.coordinates)
place_count = len(geo_tweets) - coords_count
coords_subgroup = FeatureGroupSubGroup(
cluster, f"Tweets with coordinates ({coords_count})"
)
place_subgroup = FeatureGroupSubGroup(
cluster, f"Tweets with place only ({place_count})"
)
# Load popup html template
popup_template = display.get_template("popup.html.j2")
# Map tweets
for tweet in geo_tweets:
subgroup = coords_subgroup if tweet.coordinates else place_subgroup
add_marker(tweet=tweet, subgroup=subgroup, popup_template=popup_template)
# Add subgroups to map
for subgroup in [coords_subgroup, place_subgroup]:
tweets_map.add_child(subgroup)
def create_potential_duplicates_map(base_map, near_duplicates: pd.DataFrame):
if near_duplicates is None:
return
marker_cluster = MarkerCluster(control=False)
marker_cluster.add_to(base_map)
sub_group = FeatureGroupSubGroup(marker_cluster,
name='Near-Duplicate Locations',
control=True,
show=True)
# # add markers
# ['LocationA', 'NameA', 'coordinatesA', 'LocationB', 'NameB', 'coordinatesB', 'dist_m']
for ix, row in near_duplicates.iterrows():
for is_row_a in [True, False]:
dup_location_marker(row, is_row_a).add_to(sub_group)
# add lines
folium.PolyLine((row.coordinatesA, row.coordinatesB),
color="red",
weight=2.5,
opacity=1).add_to(sub_group)
sub_group.add_to(base_map)
return None
def create_center_markers(base_map, centers_df):
# cluster_table has columns ['locId', 'latitude', 'longitude', 'cluster_label', 'GeoName']
if centers_df is None: # No pseudo-sectors
return None
marker_cluster = MarkerCluster(control=False)
marker_cluster.add_to(base_map)
sub_group = FeatureGroupSubGroup(marker_cluster,
name='Pseudo-sector Centers',
control=True,
show=True)
for index, row in centers_df.iterrows():
hname = row['GeoName']
# marker_color = marker_colors.get('Yellow')
# marker_size = 10
xpopup = folium.Popup(row.to_frame().to_html())
# options = {
# 'isAlphaNumericIcon': True,
# 'borderColor': '#00ABDC',
# 'textColor': '#00ABDC',
# 'innerIconStyle': 'margin-top:0;'
# }
marker = folium.Marker(
location=(row['latitude'], row['longitude']),
popup=xpopup,
tooltip=hname,
icon=folium.plugins.BeautifyIcon(
icon='circle',
borderColor='#00ABDC',
textColor='#00ABDC',
innerIconStyle='margin-top:0;'
# icon=L.BeautifyIcon.icon(options),
# icon_shape='circle-dot',
# text_color=srgb_black, # actually icon color
# background_color=marker_color,
# border_width=marker_size
))
marker.add_to(sub_group)
sub_group.add_to(base_map)
return None
def create_location_markers(base_map, locations_df):
# hotspots_df has columns ['locid', 'lat', 'lng', 'name', 'num', 'marker_size']
marker_cluster = MarkerCluster(control=False)
marker_cluster.add_to(base_map)
sub_group = FeatureGroupSubGroup(marker_cluster,
name='Observations',
control=True,
show=True)
marker_colors_by_name = assign_marker_colors(locations_df)
color_by_sectors = 'cluster_label' in locations_df.columns
for index, row in locations_df.iterrows():
hname = row['Name']
marker_color = marker_color_for_cluster(row['cluster_label']) if color_by_sectors else \
marker_colors_by_name.get(hname)
marker_size = 1
xpopup = folium.Popup(make_observation_popup_html(row),
max_width=600) # pixels
marker = folium.Marker(
location=[row['latitude'], row['longitude']],
popup=xpopup,
tooltip=hname,
icon=folium.plugins.BeautifyIcon(
prefix='fa',
icon='binoculars',
# icon_shape='rectangle',
# icon='twitter',
icon_shape='marker',
# icon_size=Point(),
text_color=marker_colors.get('Yellow',
'HotPink'), # actually icon color
background_color=marker_color,
border_width=marker_size,
border_color=marker_colors.get('Silver', 'HotPink')))
marker.add_to(sub_group)
sub_group.add_to(base_map)
return None
def make_map(data_df, loc_df):
OK_COORDINATES = (26.43, 127.8)
# base map
my_map = Map(location=OK_COORDINATES,
zoom_start=10.12,
min_zoom=8,
max_zoom=13,
tiles='cartodb positron')
# tiles = [”OpenStreetMap”, ”Stamen Terrain”, “Stamen Toner”, “Stamen Watercolor”, ”CartoDB positron”, “CartoDB dark_matter”, ”Mapbox Bright”, “Mapbox Control Room” ]
tile_options = ['cartodb positron', 'stamen terrain']
tile_names = ["simple map", "terrain map"]
for name, opt in zip(tile_names, tile_options):
TileLayer(opt).add_to(my_map, name=name)
# cluster object
cluster = MarkerCluster(control=False)
my_map.add_child(cluster)
group_list = []
for age_id in range(10):
if age_id == 9:
age_str = 'N/A'
else:
age_str = '%d0s' % (age_id + 1)
group = FeatureGroupSubGroup(cluster, age_str)
my_map.add_child(group)
group_list.append(group)
# add a marker for every record in the filtered data, use a clustered view
for ind, d in data_df.iterrows():
# make pop-up string
place = d['place']
age = d['age']
gender = d['gender']
conf_date = d['confirm_date']
status = d['status']
if age == 'N/A':
age_id = 9
else:
age_id = int(age[0]) - 1
pop_str = 'date:%s, age:%s' % (conf_date, age)
if gender == 'Male':
icon = Icon(color='blue', icon='male', prefix='fa')
elif gender == 'Female':
icon = Icon(color='red', icon='female', prefix='fa')
else:
icon = Icon(color='black', icon='question-circle', prefix='fa')
# get coordinates
try:
lat_value = loc_df[loc_df.place == place].lat.values[0]
lng_value = loc_df[loc_df.place == place].lng.values[0]
except:
lat_value = loc_df[loc_df.place == '県外'].lat.values[0]
lng_value = loc_df[loc_df.place == '県外'].lng.values[0]
pop_str = 'date:%s, age:%s, place=%s' % (conf_date, age,
'outside Okinawa')
#print(place, lat_value, lng_value)
# create marker with coordinates & pop-up info
marker = Marker(location=[lat_value, lng_value],
popup=pop_str,
icon=icon)
# add marker to gorup
group_list[age_id].add_child(marker)
LayerControl().add_to(my_map)
my_map.save("covid19_okinawa_map.html")
#display(my_map)
return my_map
color = 'red'
elif event == 'Health':
color = '#1AFAFF'
elif event == 'Literacy':
color = 'green'
return color
events = ['AQI', 'Health', 'Literacy']
for event in events:
cluster = folium.plugins.MarkerCluster(control=False).add_to(m)
subgroup = FeatureGroupSubGroup(cluster,
name=event,
control=True,
show=True)
for place, lat, lan, aqi, health, populationMale, populationFemale, literacy, sexRatio, childPopulation in zip(
data['Place'], data['Latitude'], data['Longitude'], data['AQI'],
data['Health'], data['Population-Male'], data['Population-Female'],
data['Litracy Rate'], data['Sex Ratio'], data['Child Population']):
if event == 'AQI':
folium.Circle(location=[lat, lan],
popup="AQI : " + str(aqi),
tooltip='<strong>Click to view AQI of ' + str(place),
radius=500,
color=colorDecide(event),
fill_color=colorDecide(event),
line_color=colorDecide(event),
name=event,