def theMap(self, main_html, rel_html, rel_pts_names):
tool_tip = 'Show pannel'
#목적지 점 찍고 html 만들기
main_pt = [self.lat, self.lon]
m = folium.Map(location=main_pt, zoom_start=11)
board = folium.map.Popup(html = main_html,\
parse_html = False,\
max_width = '200%')
folium.Marker(main_pt,
popup=board,
tooltip=tool_tip,
icon=folium.Icon(color='green', icon='star')).add_to(m)
# 주변 장소 팝업 만들기
geo_popUPs = []
for geo_summs in rel_html:
geo_htm = geo_summs[0] + geo_summs[1]
geo_popUPs.append(folium.map.Popup(html = geo_htm,\
parse_html = False,\
max_width = 350))
# 주변 장소 점 찍기
index = 0
for geo_results in rel_pts_names: #{'이름': (위도, 경도), '이름':(위도, 경도), ...} 이런 형태
folium.Marker(rel_pts_names[geo_results],
popup=geo_popUPs[index],
tooltip=tool_tip).add_to(m)
index += 1
m.add_child(
MeasureControl(primary_length_unit='kilometers',
primary_area_unit='sqkilometers'))
m.save('%s.html' % self.key_city)
webbrowser.open_new_tab('%s.html' % self.key_city)
def generate_base_map(gdf):
"""[summary] creates a base map for use in building Naptan maps.
Args:
gdf ([geopandas data]): [description]
map_name ([str]): [str identify of the map]
Returns:
[type]: [description]
"""
gm = folium.Map(
location=[gdf["Latitude"].mean(), gdf["Longitude"].mean()],
zoom_start=11,
prefer_canvas=True,
zoom_control=True,
control_scale=True,
)
# add measure control with km and area return calculations.
gm.add_child(
MeasureControl(
position="bottomright",
primary_length_unit="kilometers",
secondary_length_unit="miles",
secondary_area_unit="acres",
primary_area_unit="sqmeters",
))
# added lat long pop up for reference
folium.LatLngPopup().add_to(gm)
# clustering added
mc = MarkerCluster().add_to(gm)
# add the popups with relevant data
for row in gdf.itertuples():
html = f"""<!DOCTYPE html><div class="boxed">
<b>ATCOCode:</b> <i>{row.ATCOCode}</i><br>
<b>StopType:</b> <i>{row.StopType}</i><br>
<b>StopPoint:</b> <i>{row.StopPoint}</i><br>
<b>Coordinates:</b> <i>{row.Latitude}, {row.Longitude}</i><br>
<b>Locality_Name:</b> {row.LocalityName}<br>
<b>AreaName:</b> <i>{row.AreaName}</i><br>
</div>
"""
# add the markers to the marker cluster.
mc.add_child(
folium.Marker(
location=[row.Latitude, row.Longitude],
popup=html,
radius=8,
icon=folium.Icon(color="green", prefix="fa-", icon="ok-sign"),
))
# add layer control.
folium.LayerControl(collapsed=False, position="topright").add_to(gm)
# get name of the mapped area.
map_name = gdf.AreaName.iloc[0]
# save the map
save_generated_map(mc, map_name=map_name)
return gm
def index():
folium_map = folium.Map(
location=[
46.8667, 8.2333
], # Zentrierung der Karte auf den Mittelpunkt der Schweiz. Ortschaft Sachseln
zoom_start=8,
tiles=
"https://server.arcgisonline.com/ArcGIS/rest/services/Canvas/World_Light_Gray_Base/MapServer/tile/{z}/{y}/{x}", #Karten Design
attr="Tiles © Esri — Esri, DeLorme, NAVTEQ",
)
#Koordinaten in Pandas speichern
data = pd.DataFrame({
'lat': [
47.390434, 47.330769, 47.385849, 47.486614, 47.559601, 46.947922,
46.806403, 46.20222, 47.04057, 46.84986, 47.36493, 47.05048,
46.99179, 46.95805, 46.89611, 47.42391, 47.69732, 47.02076,
47.20791, 47.55776, 46.19278, 46.88042, 46.22739, 46.51600,
47.17242, 47.36667
],
'lon': [
8.045701, 9.41104, 9.27884, 7.733427, 7.588576, 7.444608, 7.153656,
6.14569, 9.06804, 9.53287, 7.34453, 8.30635, 6.931000, 8.36609,
8.24531, 9.37477, 8.63493, 8.65414, 7.53714, 8.89893, 9.01703,
8.64441, 7.35559, 6.63282, 8.51745, 8.55000
],
'name': [
"Aarau", "Appenzell", "Herisau", "Liestal", "Basel", "Bern",
"Fribourg", "Genf", "Glarus", "Chur", "Delsberg", "Luzern",
"Neuenburg", "Stans", "Sarnen", "Sankt Gallen", "Schaffhausen",
"Schwyz", "Solothurn", "Frauenfeld", "Bellinzona", "Altdorf",
"Sion", "Lausanne", "Zug", "Zurich"
]
}) #Koordinaten für Marker festlegen
#Marker setzen
for i in range(0, len(data)):
folium.Marker(
[data.iloc[i]['lat'], data.iloc[i]['lon']],
popup=folium.Popup(data.iloc[i]['name'], show=True, sticky=True),
tooltip=data.iloc[i]["name"]
).add_to(
folium_map
) #Hoovereffekt der den Ortsnamen anzeigt und Marker der permanent ist
folium_map.add_child(MeasureControl(
)) #Hinzufügen des Plugins, mit dem man die Strecke bemessen kann
url = (
'https://media.licdn.com/mpr/mpr/shrinknp_100_100/AAEAAQAAAAAAAAlgAAAAJGE3OTA4YTdlLTkzZjUtNDFjYy1iZThlLWQ5OTNkYzlhNzM4OQ.jpg'
)
FloatImage(url, bottom=5, left=85).add_to(folium_map)
folium_map.save(
'templates/map.html'
) #Erzeugung der Map als HTML-Datei, damit man sie mit einem iframe in die Seite einbinden kann
return render_template('start1.html') #Anzeigen der Map auf der Startseite
def draw_mult_map(df_a, df_b):
m = folium.Map(location=[df_a['lat'].mean(), df_b['long'].mean()],
zoom_start=15,
control_scale=True)
feature_group_estaciones = folium.FeatureGroup(
name='Estaciones de Bicicletas')
feature_group_tiendas = folium.FeatureGroup(name='bicicleterias')
marker_cluster_estaciones = MarkerCluster()
marker_cluster_tiendas = MarkerCluster()
for row in df_a.iterrows():
marker_estaciones = folium.Marker(
location=[row[1]['lat'], row[1]['long']],
popup=str(row[1]['nro_est']) + '. ' + str(row[1]['nombre']),
icon=folium.Icon(color='green'))
marker_cluster_estaciones.add_child(marker_estaciones)
for row in df_b.iterrows():
marker_tiendas = folium.Marker(
location=[row[1]['lat'], row[1]['long']],
popup=row[1]['nombre'],
icon=folium.Icon(color='red'))
marker_cluster_tiendas.add_child(marker_tiendas)
feature_group_estaciones.add_child(marker_cluster_estaciones)
feature_group_tiendas.add_child(marker_cluster_tiendas)
m.add_child(feature_group_estaciones)
m.add_child(feature_group_tiendas)
m.add_child(folium.LayerControl())
#OPTIONAL PLUGGINS
#minimaps
minimap = MiniMap(toggle_display=True)
m.add_child(minimap)
#measure tool
m.add_child(MeasureControl())
#show de coordinates from cursor position
MousePosition().add_to(m)
#draw tools
draw = Draw(export=True)
draw.add_to(m)
#full screen
Fullscreen(position='topright',
title='Expand me',
title_cancel='Exit me',
force_separate_button=True).add_to(m)
return m
def well_map(self,zoom=10, map_style = 'OpenStreetMap',z_unit='ft', to_crs='EPSG:4326', tooltip=False,popup=True, ax=None):
"""
Make a Foluim map with the selected well
Input:
zoom -> (int, float) Initial zoom for folium map
map_stule -> (str) Type of map folium
Return:
w_map -> (folium.Map) Folium map object
"""
_coord = gpd.GeoDataFrame()
z_coef = 0.3048 if z_unit=='ft' else 1
x_coord = self.surf_coord.x
y_coord = self.surf_coord.y
z_coord = self.surf_coord.z*z_coef if self.surf_coord.has_z==True else self.rte*z_coef
shape = self.surf_coord
crs = self.crs
_w = gpd.GeoDataFrame({'x':[x_coord],'y':[y_coord],'z':[z_coord],'geometry':[shape]}, index=[self.name])
_w.crs = crs
_w = _w.to_crs(to_crs)
_w['lon'] = _w['geometry'].x
_w['lat'] = _w['geometry'].y
_coord = _coord.append(_w)
center = _coord[['lat','lon']].mean(axis=0)
#make the map
if ax is None:
map_folium = folium.Map(
location=(center['lat'],center['lon']),
zoom_start=zoom,
tiles = map_style)
else:
assert isinstance(ax,folium.folium.Map)
map_folium = ax
for i, r in _coord.iterrows():
folium.Marker(
[r['lat'],r['lon']],
tooltip=f"{i}" if tooltip else None,
popup = folium.Popup(html=f"{i}",show=True) if popup else None,
icon=folium.Icon(icon='tint', color='green')
).add_to(map_folium)
folium.LayerControl().add_to(map_folium)
#LocateControl().add_to(map_folium)
MeasureControl().add_to(map_folium)
MousePosition().add_to(map_folium)
return map_folium
def make_map(gdf):
gm = folium.Map(
location=[gdf["Latitude"].mean(), gdf["Longitude"].mean()],
zoom_start=11,
prefer_canvas=True,
zoom_control=True,
control_scale=True,
)
# add measure control with km and area return calculations.
gm.add_child(
MeasureControl(
position="bottomright",
primary_length_unit="kilometers",
secondary_length_unit="miles",
secondary_area_unit="acres",
primary_area_unit="sqmeters",
))
# added lat long pop up for reference
folium.LatLngPopup().add_to(gm)
# clustering added
mc = MarkerCluster().add_to(gm)
# add the popups with relevant data
for row in gdf.itertuples():
html = f"""<!DOCTYPE html><div class="boxed">
<b>ATCOCode:</b> <i>{row.ATCOCode}</i><br>
<b>StopType:</b> <i>{row.StopType}</i><br>
<b>StopPoint:</b> <i>{row.StopPoint}</i><br>
<b>Coordinates:</b> <i>{row.Latitude}, {row.Longitude}</i><br>
<b>Locality_Name:</b> {row.LocalityName}<br>
<b>AreaName:</b> <i>{row.AreaName}</i><br>
</div>
"""
# add the markers to the marker cluster.
mc.add_child(
folium.Marker(
location=[row.Latitude, row.Longitude],
popup=html,
radius=8,
icon=folium.Icon(color="green", prefix="fa-", icon="ok-sign"),
))
# add layer control.
folium.LayerControl(collapsed=False, position="topright").add_to(gm)
return gm
def wells_surveys_map(self, wells:list=None,zoom:int=10, map_style:str = 'OpenStreetMap',tooltip:bool=True,popup:bool=False,ax=None,radius=10):
"""
Make a Foluim map with the selected wells
Input:
wells -> (list, None) List of wells in the Group to show the matrix.
If None, all wells in the group will be selected
zoom -> (int, float) Initial zoom for folium map
Return:
w_map -> (folium.Map) Folium map object
"""
assert isinstance(wells,(list,type(None)))
_coord = self.wells_surveys(wells=wells)
_coord = _coord.to_crs('EPSG:4326')
_coord['lon'] = _coord['geometry'].x
_coord['lat'] = _coord['geometry'].y
center = _coord[['lat','lon']].mean(axis=0)
#make the map
if ax is None:
map_folium = folium.Map(
location=(center['lat'],center['lon']),
zoom_start=zoom,
tiles = map_style)
else:
assert isinstance(ax,folium.folium.Map)
map_folium = ax
for i, r in _coord.iterrows():
folium.Circle(
[r['lat'],r['lon']],
tooltip=f"{r['well']} <br>md:{r['md']} <br>tvd:{r['tvd']} <br>tvdss:{r['tvdss']} <br>inc:{r['inc']} " if tooltip else None,
popup = folium.Popup(html=f"{r['well']} <br>md:{r['md']} <br>tvd:{r['tvd']} <br>tvdss:{r['tvdss']} <br>inc:{r['inc']} ",show=True,max_width='50%') if popup else None,
#icon=folium.Icon(icon='circle',prefix='fa', color='green'),
radius=radius
).add_to(map_folium)
folium.LayerControl().add_to(map_folium)
#LocateControl().add_to(map_folium)
MeasureControl().add_to(map_folium)
MousePosition().add_to(map_folium)
return map_folium
def create_folium(df, coords):
address = get_address(coords[1], coords[0])
coords = [coords[1], coords[0]]
icons = {
'hostelry': {
'color': "orange",
'iconname': "fa-cutlery"
},
'services': {
'color': "blue",
'iconname': "fa-asterisk"
},
'companies': {
'color': "darkpurple",
'iconname': "fa-building"
},
'events': {
'color': "green",
'iconname': "fa-calendar-o"
}
}
map_folium = folium.Map(coords, width=1000, height=700, zoom_start=17)
folium.CircleMarker(coords, radius=9, color="#DA1212").add_to(map_folium)
for e in df:
for coord in df[e]:
if coord != coords:
try:
folium.Marker(coord,
radius=9,
icon=folium.Icon(color=icons[e]['color'],
prefix='fa',
icon=icons[e]['iconname']),
fill_color="#F35C50").add_to(map_folium)
except:
pass
map_folium.add_child(MeasureControl())
folium.TileLayer('cartodbpositron').add_to(map_folium)
tooltip = 'Click me!'
folium.Marker(coords,
popup='<i>{}</i>'.format(address),
icon=folium.Icon(color='red', prefix='fa', icon="fa-circle"),
tooltip=tooltip).add_to(map_folium)
return map_folium
def map_aals(data: gpdGeoDataFrame,
col: str,
colname: str,
location: list = [38.9, -77.0],
zoom_start: int = 12):
"""
Create a Folium HeatMap of AAL data.
Inputs:
col = column name to visualize (e.g. 'FLUV_AAL')
colname = more formal, readible alias of col. (e.g. 'Fluvial')
location = center coordinates for the Folium map to render.
zoom_start = initial level of zoom
"""
m = folium.Map(
location=location,
tiles='Stamen Terrain',
zoom_start=12,
)
pointdata = HeatMap(list(
zip(data.geometry.y, data.geometry.x, data[col].values)),
min_opacity=0.5,
max_val=data[col].values.max(),
radius=17,
blur=15,
max_zoom=1,
name='{} Hotspots'.format(colname),
show=True,
overlay=True,
control=True)
add_tiles(m)
m.add_child(MeasureControl())
m.add_child(pointdata)
plugins.Fullscreen(position='topleft',
title='Full Screen Mode',
title_cancel='Full Screen Mode',
force_separate_button=True).add_to(m)
folium.LayerControl(collapsed=False).add_to(m)
return m
def interactive_grid(centery, centerx, lat, lon, z):
url_base = 'http://server.arcgisonline.com/ArcGIS/rest/services/'
service = 'World_Imagery/MapServer/tile/{z}/{y}/{x}'
tileset = url_base + service
folmap = folium.Map(location=[centery, centerx],
zoom_start=10) #width=800, height=600,
x1, y1 = lat.shape
for i in range(0, x1):
for ii in range(0, y1):
folmap.add_child(
folium.CircleMarker(location=[lat[i][ii], lon[i][ii]],
radius=1,
weight=1,
fill=True,
color=getColor(z[i][ii]),
fill_color=getColor(z[i][ii]),
fill_opacity=1))
colormap = branca.colormap.StepColormap(colors=[
'#8000FF', '#5500FF', '#4000FF', '#1500FF', '#0000FF', '#002AFF',
'#0055FF', '#0080FF', '#00AAFF', '#00D4FF', '#00FFFF', '#00FFAA',
'#00FF80', '#00FF2A', '#2AFF00', '#80FF00', '#AAFF00', '#D4FF00',
'#FFFF00', '#FFD400', '#FFAA00', '#FF8000', '#FF6A00', '#FF4000',
'#FF2A00', '#FF1500', '#FF0000'
],
vmin=-3,
vmax=1)
#colormap = colormap.to_step(index=[0, 0.5,1,1.5,2,2.5,3,3.5,4,4.5,5])
colormap.caption = 'Elevation (m) at NAVD88'
colormap.add_to(folmap)
#my_ip = requests.get('http://169.254.169.254/latest/meta-data/public-ipv4').content.decode()a
#folium.TileLayer(tiles='http://{}:{}/tile/{{z}}/{{x}}/{{y}}.png',
# attr='GeoPySpark', name='NED_SC', overlay=True).add_to(folmap)
#folium.add_tiles(folmap)
folium.TileLayer(tileset, attr="ESRI", name='imagery').add_to(folmap)
folium.LayerControl().add_to(folmap)
folmap.add_child(MeasureControl())
return folmap
def draw_map(df, cluster_marks=True):
m = folium.Map(location=[df['lat'].mean(), df['long'].mean()],
zoom_start=15,
control_scale=True)
if cluster_marks == True:
mc = MarkerCluster()
for row in df.iterrows():
mc.add_child(
folium.Marker(location=[row[1]['lat'], row[1]['long']],
popup=row[1]['nombre']))
m.add_child(mc)
else:
for row in df.iterrows():
folium.Marker(location=[row[1]['lat'], row[1]['long']],
popup=row[1]['nombre']).add_to(m)
#OPTIONAL PLUGGINS
#minimaps
minimap = MiniMap(toggle_display=True)
m.add_child(minimap)
#measure tool
m.add_child(MeasureControl())
#show de coordinates from cursor position
MousePosition().add_to(m)
#draw tools
draw = Draw(export=True)
draw.add_to(m)
#full screen
Fullscreen(position='topright',
title='Expand me',
title_cancel='Exit me',
force_separate_button=True).add_to(m)
return m
def wells_map(self, wells:list=None,zoom=10, map_style = 'OpenStreetMap',tooltip=True,popup=False,ax=None):
"""
Make a Foluim map with the selected wells
Input:
wells -> (list, None) List of wells in the Group to show the matrix.
If None, all wells in the group will be selected
zoom -> (int, float) Initial zoom for folium map
Return:
w_map -> (folium.Map) Folium map object
"""
assert isinstance(wells,(list,type(None)))
_coord = self.wells_coordinates(wells=wells)
center = _coord[['lat','lon']].mean(axis=0)
#make the map
if ax is None:
map_folium = folium.Map(
location=(center['lat'],center['lon']),
zoom_start=zoom,
tiles = map_style)
else:
assert isinstance(ax,folium.folium.Map)
map_folium = ax
for i, r in _coord.iterrows():
folium.Marker(
[r['lat'],r['lon']],
tooltip=f"{i}" if tooltip else None,
popup = folium.Popup(html=f"{i}",show=True,max_width='50%') if popup else None,
icon=folium.Icon(icon='tint', color='green')
).add_to(map_folium)
folium.LayerControl().add_to(map_folium)
#LocateControl().add_to(map_folium)
MeasureControl().add_to(map_folium)
MousePosition().add_to(map_folium)
return map_folium
def test_unit():
feature_group = FeatureGroup(name='Teltonika')
m = Map(
location=[25.09841, 55.16275],
zoom_start=2,
tiles=
'https://api.mapbox.com/v4/mapbox.satellite/{z}/{x}/{y}.png?access_token=pk.eyJ1IjoidGFsazJ0cGMiLCJhIjoiY2ptenozdm0yMWlyNTNwcGhwbzc3dG9rNCJ9.NzVTxRk8eVz6g_BrbjonWg',
attr='Mapbox')
Marker(location=[25.09955, 55.16263],
popup='Mt. Hood Meadows',
icon=Icon(icon='dashboard')).add_to(feature_group)
Marker(location=[25.10124, 55.16332],
popup='Timberline Lodge',
icon=Icon(color='green')).add_to(feature_group)
Marker(location=[25.10255, 55.16545],
popup='''<p>Asset Name: Teltonika</p>
<p><img src="https://html-online.com/editor/tinymce4_6_5/plugins/emoticons/img/smiley-cool.gif" alt="cool" /></p>
<p>Speed: <span style="color: #ff0000;">12 km/hr</span></p>
<p> </p>
<p> </p>''',
icon=Icon(color='red', icon='screenshot')).add_to(feature_group)
m.add_child(LatLngPopup())
feature_group.add_to(m)
LayerControl().add_to(m)
m.add_child(MeasureControl())
m.save('osm.html')
# 4-3-2. 미니맵 만들기 minimap = plugins.MiniMap() map_cctv.add_child(minimap) # 4-3-4. 히트맵 만들기 from folium.plugins import HeatMap HeatMap(data.tolist()).add_to(map_pplace) # 4-3-5. 마우스 포지션(위도, 경도) 찾기 기능 from folium.plugins import MousePosition MousePosition().add_to(map_pplace) # 4-3-6. 측정도구 기능 from folium.plugins import MeasureControl map_pplace.add_child(MeasureControl()) # 4-3-7. 그림 그리기 기능 (이거 되게 자주 쓰일듯!!!!!!) # export=True 옵션 : 내가 그린 영역을 JSON 파일로 뽑아내줌 # 주의점 : 서브그룹이 많으면 4-3-7에서의 export 기능이 안됨. 직접 돌려보면 알거임. fg = folium.FeatureGroup(name="전체") # 전체그룹 설정 g2 = plugins.FeatureGroupSubGroup(fg, '교통정보수집') g1 = plugins.FeatureGroupSubGroup(fg, '교통단속') # 서브그룹 틀 만들기 from folium.plugins import Draw Draw(export=True).add_to(map_pplace) # 4-3-8. 그룹 만들기 g3 = plugins.FeatureGroupSubGroup(fg, '기타') g4 = plugins.FeatureGroupSubGroup(fg, '생활방범') g5 = plugins.FeatureGroupSubGroup(fg, '쓰레기단속') g6 = plugins.FeatureGroupSubGroup(fg, '어린이보호')
def folium_view(request, *args, **kwargs):
#================================================== Model data================================================
data = Webmap.object.all()[:50]
m = folium.Map([29, -8.86], tiles='OpenStreetMap', zoom_start=5)
html_string = m.get_root().render()
test = folium.Html('<b>Hello world</b>', script=True)
media_url = settings.MEDIA_ROOT
#================================================External data json,gejson ...=======================================
#jsondata= './webmap/static/communes.geojson'
#commun=geopandas.read_file(jsondata)
# ====================================================================Plugins===============================================
#More Tiles
folium.TileLayer('Stamen Watercolor').add_to(m)
plugins.Fullscreen(position='bottomright',
title='Expand me',
title_cancel='Exit me',
force_separate_button=True).add_to(m)
#plugins.Geocoder().add_to(m)
plugins.LocateControl(auto_start=False, initial_zoom_level=10).add_to(m)
#Measure control
m.add_child(MeasureControl(position='topleft'))
# Showing coordinates
formatter = "function(num) {return L.Util.formatNum(num, 3) + ' º ';};"
MousePosition(
position='topright',
separator=' | ',
empty_string='NaN',
lng_first=True,
num_digits=20,
prefix='Coordinates:',
lat_formatter=formatter,
lng_formatter=formatter,
).add_to(m)
###################################################################################################################################################################################################
#############################################################################################################################################################################################
#============================================================LayerGroups names
fg = folium.FeatureGroup(name='All groups')
m.add_child(fg)
g1 = plugins.FeatureGroupSubGroup(fg, 'Group1')
m.add_child(g1)
g2 = plugins.FeatureGroupSubGroup(fg, 'Group2')
m.add_child(g2)
#------------ external data group json, geojson ...
#extdata = plugins.FeatureGroupSubGroup(fg, 'communes',show=False)
#m.add_child(extdata)
# ===========================================================filtering using data ===========================================================================================================
for y in data:
grpopup = "<div class = popupdiv><img class='popupimg' src =" + y.link + '>' + "<br><p class='strong'>" + y.Nom + "</p>" + "<p class='desc'>" + y.Services + "</p></div>" + "<div class= ''>" + y.Description_si_disop + '</div> <br>' + "<span class='fas fa-map-pin'></span> " + y.Adress + '<br>' + "<div class= 'telpop'>" + y.Tel + '</div><br>'
grimgurl = media_url + '/' + y.img.name
grcustomIcon = folium.features.CustomIcon(grimgurl, icon_size=(30, 30))
#-----------------------------------------Criterea 1 ---------------------------------------------------------
if y.Nom == 'jarouub':
folium.Marker(location=[y.geom.y, y.geom.x],
popup=grpopup,
radius=40,
icon=grcustomIcon).add_to(g1)
#-----------------------------------------Criterea 2 -------------------------------------------------------------
elif y.Nom == 'lol':
folium.Marker(location=[y.geom.y, y.geom.x],
popup=grpopup,
radius=40,
icon=grcustomIcon).add_to(g2)
#-------------------------For object that meet none of the Criterea ----------------------------------------------
else:
folium.Marker(location=[y.geom.y, y.geom.x],
popup=grpopup,
radius=40,
icon=grcustomIcon).add_to(fg)
#--------------------------External data group -----------------------------------------------------------------
#folium.GeoJson(commun,name='communes',overlay=False).add_to(extdata)
folium.LayerControl(collapsed=True).add_to(m)
#==============================================================This to add element inside the template generated by Folium ====================================================================
style_statement = '''<style> .leaflet-control{color:#f9f9f9; background-color:#000c } .leaflet-popup-content {margin: auto auto 10% auto;line-height: 1.4;text-align: center;} .popupimg{width:100%;margin-left:0px} .leaflet-popup-content-wrapper {width: 200px;text-align: center;}.leaflet-container { /* all maps */height: 600px;width: 90%;margin: auto;z-index: 0;}@media(max-width:750px){.leaflet-container{height:500px;width:94%;}}#specialbigmap{height:800px;}/*Resizethe'display_raw'textbox*/.django-leaflet-raw-textarea{width:100%;}.bd-placeholder-img{font-size:1.125rem;text-anchor:middle;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;}@media(min-width:768px){.bd-placeholder-img-lg{font-size:3.5rem;}}.leaflet-container .leaflet-marker-pane img{max-width:none!important;max-height:none!important;border-radius:100%;border-style:double;border-width:0.4rem; border-color:#000}.leaflet-touch .leaflet-control-layers, .leaflet-touch .leaflet-bar{border:1pxsolidrgb(128,128,128);background-clip:padding-box;}.leaflet-popup-content-wrapper, .leaflet-popup-tip{background:#000000e8;color:#9aa3a6;box-shadow:03px14pxrgba(0,0,0,0.9);border-radius:1%;}.leaflet-popup-content{margin:5px19px1px19px;line-height:1.2;} .telpop{font-weight:bold}.servicespop{font-size:1.15rem;font-weight:bold;}.fas{margin-right:3%;color:#096cb1;font-size:medium;}.nompop{font-size:18px;position:relative;}.description{text-align:center;position:static;text-transform:uppercase;}.label{color:#096cb1;font-size:14px;font-family:'Roboto';}.leaflet-container{/*allmaps*/height:600px;width:90%;margin:auto;z-index:0;}@media(max-width:750px){.leaflet-container{height:500px;width:94%;}}#specialbigmap{height:800px;}/*Resizethe'display_raw'textbox*/.django-leaflet-raw-textarea{width:100%;}.bd-placeholder-img{font-size:1.125rem;text-anchor:middle;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;} .leaflet-control-layers-toggle {background-image: url("/static/app/img/layers.png"); background-size: 60%;} .leaflet-touch .leaflet-bar {border: 1px solid rgba(0,0,0,0.1);background-color: #000000b8;} .strong {font-weight: 700;line-height: 1.6;font-size: 1.4rem;text-transform: uppercase;} .leaflet-touch .leaflet-control-layers-toggle {width: 44px;height: 44px;background-color: #000000b8;} .leaflet-touch .leaflet-bar a {border-bottom-left-radius: 2px;border-bottom-right-radius: 2px;border: 1px solid #000;} .strong{} .leaflet-popup-content-wrapper {width: 180px;text-align: center;height: auto;} .desc{} .leaflet-popup-content p {margin: 10px 0;} .popupdiv{}
.js-measuringprompt{color: #000 } .leaflet-touch .leaflet-control-measure .leaflet-control-measure-toggle{width: 30px;height: 30px;border-radius: 1px;border: solid 1px #000;} </style>'''
#Adding the elements t
m.get_root().header.add_child(folium.Element(style_statement))
m
m.save('Map/templates/Folium.html')
context = {'my_map': m}
#=========================================================== Adding Django template tag in the beginning of Webmap template========================================================================
filename = 'Map/templates/webmap.html'
line = "{% load staticfiles %} {%load leaflet_tags%} {% leaflet_js%}{% leaflet_css%} <script src='{% static 'leaflet/leaflet/leaflet.js' %}'></script> <link rel='stylesheet' href='{% static 'leaflet/leaflet/leaflet.css' %}'>"
with open(filename, 'r+') as f:
content = f.read()
f.seek(0, 0)
f.write(line.rstrip('\r\n') + '\n' + content)
return render(request, 'Folium.html', context)
def index():
start_coords = (-15.79340,-47.88232)
folium_map = folium.Map(location=start_coords, zoom_start=16)
draw = Draw()
draw.add_to(folium_map)
folium_map.add_child(MeasureControl())
tooltip = 'Click me!'
folium.Marker(
[-15.796218,-47.872002 ],
popup='<i>Estrada Parque Ceilândia, SIA</i>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-15.791077,-47.875543],
popup='<b>QSB 12, Taguatinga, Região</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-15.787711,-47.878397],
popup='<b>Bloco A / B, W1 Sul, SQS 104, Asa Sul</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-15.790932,-47.879212],
popup='<b>Recanto das Emas, Região Integrada de Desenvol...</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-15.793678,-47.880199],
popup='<b>Recanto das Emas, Região Integrada de Desenvol...</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-15.79628,-47.885885],
popup='<b>Recanto das Emas, Região Integrada de Desenvol...</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-15.789507,-47.883203],
popup='<b>Recanto das Emas, Região Integrada de Desenvol...</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-47.887988,-47.887988],
popup='<b>Recanto das Emas, Região Integrada de Desenvol...</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-15.79436,-47.887602],
popup='<b>Recanto das Emas, Região Integrada de Desenvol...</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-15.788743,-47.889705],
popup='<b>Recanto das Emas, Região Integrada de Desenvol...</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
folium.Marker(
[-15.788826,-47.89346],
popup='<b>Recanto das Emas, Região Integrada de Desenvol...</b>',
icon=folium.Icon(color='black',icon='car', prefix='fa'),
tooltip=tooltip).add_to(folium_map)
formatter = "function(num) {return L.Util.formatNum(num, 3) + ' º ';};"
MousePosition(
position='topright',
separator=' | ',
empty_string='NaN',
lng_first=True,
num_digits=20,
prefix='Coordinates:',
lat_formatter=formatter,
lng_formatter=formatter,
).add_to(folium_map)
return folium_map._repr_html_()
app = Flask(__name__)
app.config["SECRET_KEY"] = os.getenv('SECRET_KEY')
app.config["MONGO_DBNAME"] = 'travel_tracker'
app.config["MONGO_URI"] = os.getenv('MONGO_URI')
mongo = PyMongo(app)
countries = mongo.db.country_post.find()
# Generated map
map_obj = folium.Map([45, 3], zoom_start=4, tiles="cartodbpositron")
# Locates current location
plugins.LocateControl().add_to(map_obj)
# Measure distance of points
map_obj.add_child(MeasureControl())
# Create a full screen map
plugins.Fullscreen(position='topright',
title='Expand me',
title_cancel='Exit me',
force_separate_button=True).add_to(map_obj)
# Adding data to map
fgc = folium.FeatureGroup(name="Top 10 countries to visit")
fgr = folium.FeatureGroup(name="Top 10 restaurants of the world")
fga = folium.FeatureGroup(name="Top 10 attractions in the world")
map_obj.add_child(fgc)
map_obj.add_child(fgr)
map_obj.add_child(fga)
for point in range(0, dams_location_list_size):
folium.Marker(dams_location_list[point], popup=df_damData['Dam'][point]).add_to(map_url)
map_url
# In[146]:
# Now add a measure control to measure the boundries of the dams. We can measure the area of a surface and
# keep it within the marker popup
from folium.plugins import MeasureControl
map_url.add_child(MeasureControl())
map_url
# In[156]:
# Add Layer Control
map_layers = map_points
add = '/mapserver/tile/{z}/{y}/{x}'
ESRI = dict(World_Ocean_Base='http://services.arcgisonline.com/arcgis/rest/services/Ocean/World_Ocean_Base',
World_Navigation_Charts='http://services.arcgisonline.com/arcgis/rest/services/specialty/world_navigation_charts',
NatGeo_World_Map='http://services.arcgisonline.com/arcgis/rest/services/NatGeo_World_Map/MapServer/0',
poly_line = TimestampedGeoJson(data={
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": coordinates,
},
"properties": {
"times": time,
"style": {
"color": "red",
"weight": 2
}
}
}
]
}, period="PT1M")
poly_line.add_to(map)
# Create a tool to measure distance and area
tool_measure = MeasureControl()
tool_measure.add_to(map)
# Create tool to draw something
tool_draw = Draw()
tool_draw.add_to(map)
map.save("Munich_with_points_and_lines_.html")
roads = roads.to_crs(epsg=4326) # reproject to WGS84
RoadsLayer = folium.FeatureGroup(name="Roads")
RoadsLayer.add_child(folium.GeoJson(roads, style_function=lambda feature:{
'fillColor': 'blue',
'fillOpacity': 0.6,
'weight': 4,
'color': 'darkblue'
}))
wageningenMap.add_child(RoadsLayer)
# Create layer, add polyline and add layer to map
RouteLayer = folium.FeatureGroup(name="Route from campus to shopping center")
polylineLocations = [[51.987384, 5.666505], [51.986899, 5.666848], [51.985501, 5.661650],
[51.981741, 5.664579], [51.979521, 5.664321], [51.979455, 5.663795],
[51.979078, 5.663753], [51.978761, 5.663023]]
RouteLayer.add_child(PolyLine(locations=polylineLocations, popup="Path from Gaia to Shopping Center",
color="red", weight=2.5, opacity=1))
wageningenMap.add_child(RouteLayer)
# Overlay raster on top of map
orthophotoLayer = folium.FeatureGroup(name="Infrared Orthophoto of Wageningen")
orthophotoLayer.add_child(ImageOverlay(imageFilename, [[min_lat, min_lon], [max_lat, max_lon]], opacity=0.6))
wageningenMap.add_child(orthophotoLayer)
# Add measurement control and layer control
wageningenMap.add_child(MeasureControl())
wageningenMap.add_child(folium.LayerControl())
# Visualize map
wageningenMap # Jupyter Notebook allows interactive visualization in the Notebook
wageningenMap.save('output/wageningenMap.html') # The folium map can be stored as an HTML file and viewed by opening the HTML file
def map(
self,
width='100%',
height='100%',
tiles='Cartodb Positron',
ignore=[],
**kwargs,
):
''' Plot overview map with folium
Parameters:
----------
tiles: str
tiles used, see `folium.Map?``
- "OpenStreetMap"
- "Mapbox Bright" (Limited levels of zoom for free tiles)
- "Mapbox Control Room" (Limited levels of zoom for free tiles)
- "Stamen" (Terrain, Toner, and Watercolor)
- "Cloudmade" (Must pass API key)
- "Mapbox" (Must pass API key)
- "CartoDB" (positron and dark_matter)
'''
if ignore == 'all':
ignore = self._units
m = folium.Map(
location=[self.lat_mid, self.lon_mid],
width=width,
height=height,
zoom_start=11,
tiles=tiles,
)
# bathymetric contours
contours_geojson = load_bathy_contours()
tooltip = folium.GeoJsonTooltip(
fields=['title'],
aliases=['depth'],
)
popup = folium.GeoJsonPopup(
fields=['title'],
aliases=['depth'],
)
#colorscale = branca.colormap.linear.Greys_03.scale(levels[-1],levels[0])
def style_func(feature):
return {
'color': feature['properties']
['stroke'], #colorscale(feature['properties']['level-value']),
'weight': 3, #x['properties']['stroke-width'],
#'fillColor': x['properties']['fill'],
'opacity': 1.,
#'popup': feature['properties']['title'],
}
folium.GeoJson(
contours_geojson,
name='geojson',
style_function=style_func,
tooltip=tooltip,
popup=popup,
).add_to(m)
# campaign details
for uname, u in self.items():
if uname not in ignore:
for d in u:
folium.Polygon([(d.start.lat, d.start.lon),
(d.end.lat, d.end.lon)],
tooltip=uname + ' ' + d.label + '<br>' +
str(d.start.time) + '<br>' +
str(d.end.time),
color=cnames[u['color']],
dash_array='10 20',
opacity=.5).add_to(m)
folium.Circle(
(d.start.lat, d.start.lon),
tooltip=uname + ' ' + d.label + '<br>' +
str(d.start.time),
radius=2 * 1e2,
color=cnames[u['color']],
).add_to(m)
folium.Circle(
(d.end.lat, d.end.lon),
tooltip=uname + ' ' + d.label + '<br>' +
str(d.end.time),
radius=1e2,
color=cnames[u['color']],
).add_to(m)
# useful plugins
MeasureControl().add_to(m)
fmtr_lon = "function(dec) {var min= (dec-Math.round(dec))*60; " \
+"direction = (dec < 0) ? 'W' : 'E'; " \
+"return L.Util.formatNum(dec, 0) + direction + L.Util.formatNum(min, 2);};"
fmtr_lat = "function(dec) {var min= (dec-Math.round(dec))*60; " \
+"direction = (dec < 0) ? 'S' : 'N'; " \
+"return L.Util.formatNum(dec, 0) + direction + L.Util.formatNum(min, 2);};"
MousePosition(lat_formatter=fmtr_lon, lng_formatter=fmtr_lat).add_to(m)
return m
popup='<b>Borehole Located: </b>Here<br></br><b>Location: </b>%s' %
(borehole),
line_color='#3186cc',
fill_color='#8E44AD',
fill_opacity=0.4,
fill=True).add_to(borehole_cluster)
for gsl in good_sensor_locations:
print(gsl)
folium.Marker(location=gsl).add_to(m)
for desal in desalinator_location:
folium.Marker(location=desal,
popup='Desalinator located here',
icon=folium.Icon(color='red',
icon='water')).add_to(desal_cluster)
folium.GeoJson(state_geo, name="Pipes").add_to(m)
# folium.GeoJson(pipes, name="Acoustic Sensors").add_to(m)
folium.TileLayer(tiles='Stamen Toner', name="Stamen Toner").add_to(m)
folium.TileLayer(tiles='Stamen Terrain', name="Stamen Terrain").add_to(m)
folium.LayerControl().add_to(m)
m.add_child(MeasureControl())
m.add_child(folium.LatLngPopup())
m.save('map.html')
print("Saving the webpage for map....")
def sim_folium_heat(geogridfile, griddatafile):
#if os.path.exists(geogridfile):
# print( "ok esiste" )
geogrid = gpd.read_file(geogridfile).sort_index()
geogrid.id = geogrid.id.astype(int)
geogrid['centroid'] = geogrid.to_crs(epsg=3857).geometry.centroid.to_crs(
epsg=4326)
geogrid['cen_lat'] = [p.y for p in geogrid['centroid']]
geogrid['cen_lon'] = [p.x for p in geogrid['centroid']]
with open(griddatafile) as gin:
griddata = json.load(gin)
sim_id = griddata['sim_id']
griddata = griddata['grid_cnt']
griddata = [{
'timestamp': ts,
'cell_id': int(gid),
'cnt': val,
} for ts, cnt in griddata.items() for gid, val in cnt.items()]
gridcnt = pd.DataFrame.from_dict(griddata)
#gridcnt['norm_cnt'] = (gridcnt.cnt - gridcnt.cnt.min()) / (gridcnt.cnt.max() - gridcnt.cnt.min())
gridcnt['norm_cnt'] = gridcnt.cnt / gridcnt.cnt.max()
#print(gridcnt)
gridcnt = gridcnt.merge(geogrid[['id', 'cen_lat', 'cen_lon']],
left_on='cell_id',
right_on='id')
time_label = []
data = []
for ts, dfg in gridcnt.groupby('timestamp'):
#dt = f"{pd.to_datetime(ts, unit='s').tz_localize('utc').tz_convert('Europe/Rome')}"
dt = str(
pd.to_datetime(
ts, unit='s').tz_localize('utc').tz_convert('Europe/Rome'))
time_label.append(dt)
data.append(dfg[['cen_lat', 'cen_lon', 'norm_cnt']].values.tolist())
# print(dt, dfg.cnt.sum())
#print(time_label)
m = folium.Map(control_scale=True)
_radius = 60
if "ubrovnik" in str(geogridfile):
_radius = 100
HeatMapWithTime(
data=data,
index=time_label,
radius=_radius,
# gradient={'0':'Navy', '0.25':'Blue','0.5':'Green', '0.75':'Yellow', '0.85':'orange','1': 'Red'},
gradient={
'0': 'gray',
'0.2': 'Blue',
'0.4': 'Green',
'0.6': 'Yellow',
'0.8': 'orange',
'1': 'Red'
},
# gradient={0.0: 'blue', 0.1: 'orange', 0.5: 'red'},
min_opacity=0.2,
max_opacity=0.6,
use_local_extrema=False,
display_index=True,
auto_play=True,
).add_to(m)
MeasureControl().add_to(m)
colormap = cm.LinearColormap(
colors=['gray', 'Blue', 'Green', 'Yellow', 'orange', 'red'],
index=[0, 0.2, 0.4, 0.6, 0.8, 1],
# tick_labels=[0, 25, 50, 75, 85, 100],
caption='Density of population')
m.add_child(colormap)
s, w = geogrid[['cen_lat', 'cen_lon']].min()
n, e = geogrid[['cen_lat', 'cen_lon']].max()
m.fit_bounds([[s, w], [n, e]])
text_save = f'{html_folder}/heatmap_{sim_id}.html'
m.save(text_save)
print(f'* File saved in: {text_save}')
def predict():
F_date = f1.get()
F_crimeclass = v.get()
F_predmodel = s.get()
f1.delete(0,END)
master3.destroy()
#Split the date
day_list = [7,1,2,3,4,5,6]
split_date = F_date.split('-')
day = int(split_date[0])
month = int(split_date[1])
year = int(split_date[2])
date = datetime.date(year,month,day)
#Previous day
prev_date = date + datetime.timedelta(days=-1)
prev_day = prev_date.day
prev_date_month = prev_date.month
prev_date_year = prev_date.year
SF_COORDINATES = (37.76, -122.45)
#crimedata = pd.read_csv('new_train(kaggledata).csv')
crimedata = pd.read_csv('demo.csv')
state_geo = 'SFPD.json'
crime_count = open('crime_countdata.csv','w')
# for speed purposes
MAX_RECORDS = 878050
list_of_crimes = ["WARRANTS","OTHER OFFENSES","LARCENY/THEFT","VEHICLE THEFT","VANDALISM","NON-CRIMINAL","ROBBERY","ASSAULT","WEAPON LAWS","BURGLARY","SUSPICIOUS OCC","DRUNKENNESS","FORGERY/COUNTERFEITING","DRUG/NARCOTIC","STOLEN PROPERTY","SECONDARY CODES","TRESPASS","MISSING PERSON","FRAUD","KIDNAPPING","RUNAWAY","DRIVING UNDER THE INFLUENCE","SEX OFFENSES FORCIBLE","PROSTITUTION","DISORDERLY CONDUCT","ARSON","FAMILY OFFENSES","LIQUOR LAWS","BRIBERY","EMBEZZLEMENT","SUICIDE","LOITERING","SEX OFFENSES NON FORCIBLE","EXTORTION","GAMBLING","BAD CHECKS","TREA","RECOVERED VEHICLE","PORNOGRAPHY/OBSCENE MAT"]
list_of_pdistrict = ["NORTHERN","PARK","INGLESIDE","BAYVIEW","RICHMOND","CENTRAL","TARAVAL","TENDERLOIN","MISSION","SOUTHERN"]
count_of_pdistrict = {"NORTHERN":0,"PARK":0,"INGLESIDE":0,"BAYVIEW":0,"RICHMOND":0,"CENTRAL":0,"TARAVAL":0,"TENDERLOIN":0,"MISSION":0,"SOUTHERN":0}
# create empty map zoomed in on San Francisco
m = folium.Map(location=SF_COORDINATES, zoom_start=13,tiles='CartoDBPositron')
cluster = folium.plugins.MarkerCluster(name="Previous Crimes").add_to(m)
# add a marker for every record in the filtered data, use a clustered view
for each in crimedata[0:MAX_RECORDS].iterrows():
if ((int(each[1]['Day'])==prev_day) and (int(each[1]['Month'])==prev_date_month) and (int(each[1]['Year'])==prev_date_year)):
crime_name = list_of_crimes[int(each[1]['Category'])-1]
occ_date = "%s-%s-%s"%(str(prev_day),str(prev_date_month),str(prev_date_year))
pdistrict = list_of_pdistrict[int(each[1]['PdDistrict'])-1]
count_of_pdistrict[pdistrict]=(count_of_pdistrict[pdistrict])+1
location = "%s,%s"%(each[1]['Y'],each[1]['X'])
folium.Marker(location = [each[1]['Y'],each[1]['X']], popup='<b>Occured date: </b>%s<br></br><b>Crime Type: </b>%s<br></br><b>Police District: </b>%s<br></br><b>Location: </b>%s'%(occ_date,crime_name,pdistrict,location),).add_to(cluster)
crime_count.write('PD,Crime_Count\n')
for key in count_of_pdistrict:
crime_count.write("%s,%s\n"%(key,str(count_of_pdistrict[key])))
crime_count.close()
state_data = pd.read_csv('crime_countdata.csv')
m.choropleth(
geo_data=state_geo,
name='choropleth',
data=state_data,
columns=['PD', 'Crime_Count'],
key_on='feature.id',
fill_color='Reds',
fill_opacity=0.7,
line_opacity=0.9,
legend_name='Crime Rate'
)
non_violent_loc =[[ 37.783003799999996,-122.4124143],[37.77436883,-122.5058834],[37.74491907,-122.47577350000002],[37.71083265,-122.43244650000001],[37.72513804,-122.423327],[37.73015769,-122.37598919999999],[37.75999239,-122.3977468],[37.80087263,-122.4269953],[37.77739182,-122.3976156],[37.77539248,-122.4156581],[37.79149808,-122.40574479999998],[37.79750489,-122.4020426]]
violent_loc=[[37.72156474,-122.47318200000001],[37.73511269,-122.4845457],[ 37.73449811,-122.4448541],[37.76978409,-122.449123],[37.77753219,-122.4408795],[37.7299736,-122.3920652],[37.80427189,-122.44827839999999],[37.774598600000004,-122.42589170000001],[37.79243096,-122.3957716],[37.75942275,-122.41905890000001],[37.80618612,-122.41625959999999]]
for loc in non_violent_loc:
folium.CircleMarker(location=loc, radius=30,
popup='<b>Prediction Type: </b>Non-Violent Crime<br></br><b>Location: </b>%s'%(loc), line_color='#3186cc',
fill_color='#FFFFFF',fill_opacity=0.7, fill=True).add_to(m)
for loc in violent_loc:
folium.CircleMarker(location=loc, radius=30,
popup='<b>Prediction Type: </b>Violent Crime<br></br><b>Location: </b>%s'%(loc), line_color='#3186cc',
fill_color='#000000',fill_opacity=0.7, fill=True).add_to(m)
folium.TileLayer(tiles='Stamen Toner',name="Stamen Toner").add_to(m)
folium.TileLayer(tiles='Stamen Terrain',name="Stamen Terrain").add_to(m)
folium.LayerControl().add_to(m)
m.add_child(MeasureControl())
FloatImage(url, bottom=5, left=85).add_to(m)
m.save('index.html')
print "Saving the webpage for map...."
class MyBrowser(QtGui.QDialog):
def __init__(self, parent=None):
QtGui.QWidget.__init__(self, parent)
QWebView.__init__(self)
self.ui = BrowserDialog()
self.ui.setupUi(self)
self.ui.lineEdit.returnPressed.connect(self.loadURL)
def loadURL(self):
url = self.ui.lineEdit.text()
self.ui.qwebview.load(QUrl(url))
self.show()
#self.ui.lineEdit.setText("")
if __name__ == "__main__":
app = QtGui.QApplication(sys.argv)
myapp = MyBrowser()
myapp.ui.qwebview.load(QUrl("D:\My Programs + Projects\Crime2Vec - QCRI Internship '18\Main Files\GUI\index.html"))
myapp.show()
sys.exit(app.exec_())
def generate_map(self, file_name):
"""Generates a .hmtl map using a given name"""
folium.LayerControl().add_to(self._map)
self._map.add_child(MeasureControl())
self.map.save(self._maps_path + file_name + '.html')
def seiu(lat, lon, time):
print("")
# request reverse geocoding
r = requests.get(
'https://api.opencagedata.com/geocode/v1/json?q=%s+%s&key=7e95a1a406154911b68bfff0a5bf9c34'
% (lat, lon))
results = r.json()
where = results['results'][0]['formatted']
print("Your location is:", where)
# load csv
df_ca = pd.read_csv('supporting documents/Dialysis_CA.csv')
df_la = pd.read_csv('supporting documents/Dialysis_LA.csv')
df_seiu = pd.read_csv('supporting documents/SEIU_UHW_CA.csv')
# handle lat lon as floats
df_seiu['lat'] = df_seiu['lat'].astype(float)
df_seiu['lon'] = df_seiu['lon'].astype(float)
df_ca['lat'] = df_ca['lat'].astype(float)
df_ca['lon'] = df_ca['lon'].astype(float)
df_la['lat'] = df_la['lat'].astype(float)
df_la['lon'] = df_la['lon'].astype(float)
# map
map = folium.Map(location=[36.7783, -119.4179],
tiles='Stamen Toner',
zoom_start=5.5)
# plugin for MeasureControl
map.add_child(MeasureControl())
# float image plugin for logo
logo = ('https://i.imgur.com/WTmLCbc.png')
justice = ('https://i.imgur.com/mJgkwHV.png')
FloatImage(logo, bottom=8, left=4).add_to(map)
FloatImage(justice, bottom=.5, left=4).add_to(map)
fg = folium.FeatureGroup(name='Heat Map of Dialysis Clinics').add_to(map)
heat_df = df_ca[['lat', 'lon']]
heat_data = [[row['lat'], row['lon']] for index, row in heat_df.iterrows()]
HeatMap(heat_data, radius=15, blur=17).add_to(fg)
# clinics in CA
clinic_df = df_ca[['lat', 'lon']]
clinic_data = [[r['lat'], r['lon']] for i, r in clinic_df.iterrows()]
fg_1 = folium.FeatureGroup(name='Dialysis Clinics').add_to(map)
marker_cluster = MarkerCluster().add_to(fg_1)
for point in range(0, len(clinic_data)):
folium.Marker(clinic_data[point],
popup='<strong>' + "Facility: " +
df_ca['Facility N'][point] + " - Address:"
'</strong>' + df_ca['Address Li'][point],
icon=folium.Icon(color='beige',
icon_color='darkpurple',
icon='plus')).add_to(marker_cluster)
# SEIU offices
seiu_df = df_seiu[['lat', 'lon']]
seiu_data = [[r['lat'], r['lon']] for i, r in seiu_df.iterrows()]
fg_2 = folium.FeatureGroup(name='SEIU UHW Offices').add_to(map)
for point in range(0, len(seiu_data)):
folium.Marker(seiu_data[point],
popup='<strong>' + "SEIU Office: " +
df_seiu['SEIU UHW'][point] + " - Address:"
'</strong>' + df_seiu['Address'][point],
icon=folium.Icon(color='darkpurple',
icon_color='white',
icon='heart')).add_to(fg_2)
folium.LayerControl(collapsed=False).add_to(map)
map.save('MapFinal1.html')
# Service Area
loc = [[lon, lat]]
loc_df = pd.DataFrame(loc, columns=['lon', 'lat'])
org_df = loc_df[['lat', 'lon']]
org_data = [[r['lat'], r['lon']] for i, r in org_df.iterrows()]
map2 = folium.Map(location=[float(lat), float(lon)],
tiles='Stamen Toner',
zoom_start=11)
FloatImage(logo, bottom=8, left=4).add_to(map2)
FloatImage(justice, bottom=.5, left=4).add_to(map2)
for point in range(0, len(org_data)):
folium.Marker(org_data[point],
popup='<strong>'
"Your Input Location:" + where + '</strong>',
icon=folium.Icon(color='darkpurple',
icon_color='white',
icon='user')).add_to(map2)
key = '5b3ce3597851110001cf6248c13297498fc24a73a4067bd7d1a87f7d'
clnt = client.Client(key=key)
# parameters for isochrones request
params_iso = {
'profile': 'driving-car',
'range': [time * 60],
'interval': time * 60
}
loc_dict = {'loc': {'location': [lon, lat]}}
for name, loc in loc_dict.items():
params_iso['locations'] = [loc['location']]
iso = clnt.isochrones(**params_iso)
folium.features.GeoJson(iso).add_to(map2)
iso_buffer = Polygon(iso['features'][0]['geometry']['coordinates'][0])
folium.features.GeoJson(data=mapping(iso_buffer),
name='Drive Time Isochrone',
overlay=True).add_to(map2)
# reverse lat lon df
clinic_r_a = df_ca[['lat', 'lon', 'Address Li', 'Facility N']]
clinic_r_a_data = [[r['lon'], r['lat'], r['Address Li'], r['Facility N']]
for i, r in clinic_r_a.iterrows()]
print("")
print("Clinics within" + " " + str(time) + " " + "minute(s) of driving" +
": ")
print("")
for clinic in clinic_r_a_data:
point = Point(clinic)
if iso_buffer.contains(point):
omglol = clinic[3] + " at " + clinic[2]
folium.Marker(list(reversed(point.coords[0])),
popup='<strong>' + "Clinics within" + " " +
str(time) + " " + "minute(s) of driving" +
'</strong>' + ": " + omglol,
icon=folium.Icon(color='beige',
icon_color='darkpurple',
icon='plus')).add_to(map2)
params_route = {
'profile': 'driving-car',
'format_out': 'geojson',
'geometry': 'true',
'format': 'geojson',
'instructions': 'true',
'preference': 'recommended'
}
def style_function(color):
return lambda feature: dict(color=color, weight=3, opacity=1)
for clinic in clinic_r_a_data:
point = Point(clinic)
for name, loc in loc_dict.items():
org_coord = loc['location']
if iso_buffer.contains(point):
omglol = clinic[3] + " at " + clinic[2]
clinic_coord = [clinic[0], clinic[1]]
params_route['coordinates'] = [org_coord, clinic_coord]
json_route = clnt.directions(**params_route)
folium.features.GeoJson(
json_route,
style_function=style_function("#ffff00")).add_to(map2)
folium.Marker(list(reversed(point.coords[0])),
popup='<strong>' + "Clinics within" + " " +
str(time) + " " + "minute(s) of driving" +
'</strong>' + ": " + omglol,
icon=folium.Icon(color='beige',
icon_color='darkpurple',
icon='plus')).add_to(map2)
print(omglol)
print("Driving distance in minute(s):")
print(
(json_route['features'][0]['properties']['summary']['duration']
) / 60)
print("")
map2.save('MapFinal2.html')
color='red',
).add_to(map_hooray)
# Interactive marker (drop a pin on the map)
#----------------------------------------------------
#map_hooray.add_child(folium.ClickForMarker(popup="Dave is awesome"))
map_hooray.save("C:\\Users\ACER\Desktop\\map_mark2.html")
# Interaction with the map - ADD MEASURE DISTANCE TOOL
#----------------------------------------------------
map_hooray = folium.Map(location=[51.5074, 0.1278], zoom_start=11)
# Adds tool to the top right
from folium.plugins import MeasureControl
map_hooray.add_child(MeasureControl())
# Fairly obvious I imagine - works best with transparent backgrounds
from folium.plugins import FloatImage
url = (
'https://media.licdn.com/mpr/mpr/shrinknp_100_100/AAEAAQAAAAAAAAlgAAAAJGE3OTA4YTdlLTkzZjUtNDFjYy1iZThlLWQ5OTNkYzlhNzM4OQ.jpg'
)
FloatImage(url, bottom=5, left=85).add_to(map_hooray)
map_hooray.save("C:\\Users\ACER\Desktop\\map_measure.html")
#Other marker types
#----------------------------------------------------
"""
I'm skipping over a few markers to move to more interetsing analysis but it's worth knowing that you can also employ. Polygons are markers that let you choose the shape.
def sim_folium_heat(geogridfile, griddatafile):
geogrid = gpd.read_file(geogridfile).sort_index()
geogrid.id = geogrid.id.astype(int)
geogrid['centroid'] = geogrid.to_crs(epsg=3857).geometry.centroid.to_crs(
epsg=4326)
geogrid['cen_lat'] = geogrid['centroid'].y
geogrid['cen_lon'] = geogrid['centroid'].x
#print(geogrid)
with open(griddatafile) as gin:
griddata = json.load(gin)['grid_cnt']
griddata = [{
'timestamp': ts,
'cell_id': int(gid),
'cnt': val,
} for ts, cnt in griddata.items() for gid, val in cnt.items()]
gridcnt = pd.DataFrame.from_dict(griddata)
#gridcnt['norm_cnt'] = (gridcnt.cnt - gridcnt.cnt.min()) / (gridcnt.cnt.max() - gridcnt.cnt.min())
gridcnt['norm_cnt'] = gridcnt.cnt / gridcnt.cnt.max()
#print(gridcnt)
gridcnt = gridcnt.merge(geogrid[['id', 'cen_lat', 'cen_lon']],
left_on='cell_id',
right_on='id')
#print(gridcnt)
time_label = []
data = []
for ts, dfg in gridcnt.groupby('timestamp'):
dt = str(
pd.to_datetime(
ts, unit='s').tz_localize('utc').tz_convert('Europe/Rome'))
time_label.append(dt)
data.append(dfg[['cen_lat', 'cen_lon', 'norm_cnt']].values.tolist())
#print(dt, dfg.cnt.sum())
#print(time_label)
#print(data)
#exit()
m = folium.Map(control_scale=True)
HeatMapWithTime(
data=data,
index=time_label,
radius=60,
#gradient={0.0: 'blue', 0.1: 'lime', 0.3: 'orange', 0.4: 'red'},
gradient={
0.0: 'blue',
0.1: 'orange',
0.5: 'red'
},
min_opacity=0.2,
max_opacity=0.6,
use_local_extrema=False,
display_index=True,
auto_play=True,
).add_to(m)
MeasureControl().add_to(m)
s, w = geogrid[['cen_lat', 'cen_lon']].min()
n, e = geogrid[['cen_lat', 'cen_lon']].max()
m.fit_bounds([[s, w], [n, e]])
m.save(griddatafile + '.html')
def add_extra(self):
folium.LayerControl().add_to(self.map)
self.map.add_child(MeasureControl())
return self
def visualise_stop_clusters(gdf, display_column, map_name):
"""[summary] use marker clustering to display the large number of nodes,
Arguments:
df {[geopandas Dataframe]} -- [Naptan locality dataframe]
display_column {[pandas series]} -- []
map_name {[type]} -- [the name of the area to visualise.]
Returns:
[folium map object] -- [description]
"""
# TODO have each different type of stop be represented by a different
# colour/ stop icon symbol for the stop point.
Ferries = ['FTD, FER, FBT']
Airports = ['AIR, GAT']
rail_stations = ['RSE, RLY, RPL']
MetroTram = ['TMU, MET, PLT']
bus_stations = ['BCE, BST, BCQ, BCS, MKD']
BusStreet = ['BCT, MKD, CUS, HAR, FLX']
Taxis = ['TXR']
Telcabinet = ['LSE, LCB, LPL']
CarPickup = ['SDA']
stopTypeColours = {
"AIR": "red", # airports
"GAT": "darkred", # airport entrances
# don't use light red, it breaks.
"FTD": "green", # ferry entrances
"FER": "darkgreen", # ferry access area
"FBT": "lightgreen", # ferry bay
"RSE": "pink", # railway entrance
"RLY": "beige", # railway access area
"RPL": "lightgray", # railway pole type
"BCE": "blue", # bus entrance
"BCT": "lightblue", # bus area
"BCQ": "darkblue", # bus bay pole
"BCS": "cadetblue", # bus bay pole
"TXR": "darkpurple", # taxis
"SDA": "purple", # cars drop off pick up
"LSE": "black" # telecab
}
polys = display_locality_polygons(gdf, display_column, map_name)
# this makes the map and cluster with relational numbers.
m = generate_base_map(gdf)
folium.Choropleth(geo_data=polys,
data=gdf,
columns=['ATCOCode', 'StopType'],
legend_name=f'Open Naptan{map_name}',
bins=[3, 4, 5, 6, 10],
fill_opacity='0.3',
fill_color='BuPu',
line_opacity=0.3,
line_weight='2').add_to(m)
mc = MarkerCluster().add_to(m)
"""
feat_group_active = folium.FeatureGroup(name='Active')
feat_group_unactive = folium.FeatureGroup(name='Unactive')
marker_cluster_active = MarkerCluster()
marker_cluster_unactive = MarkerCluster()
"""
latitudes = list(gdf.Latitude)
longitudes = list(gdf.Longitude)
stoppoints = list(gdf.StopPoint)
stoptypes = list(gdf.StopType)
nptgcodes = list(gdf.NptgLocalityCode)
for stoppoint, nptg, stoptype, lat, lon in zip(stoppoints, nptgcodes,
stoptypes, latitudes,
longitudes):
html = f"""<!DOCTYPE html><div class="boxed">
<b>StopPoint</b>: <i>{stoppoint}</i><br>
<b>StopType</b>: {stoptype}<br>
<b>Locality Code</b>: <i>{nptg}</i><br>
</div>
"""
mc.add_child(
folium.Marker(location=[lat, lon],
popup=html,
icon=folium.Icon(color='red',
prefix='fa-',
icon='ok-sign')))
# folium.GeoJson(polys, name='Locality Polygons').add_to(m)
# to allow easier measurement of distance between stops and nodes,
# the below control is supplied to draw a line on the map between two
# points to allow easier checking of distances.
m.add_child(MeasureControl())
""" Not implemented currently.
m.add_child(Search(data=gdf,
geom_type='Point',
search_label='CommonName'))
"""
folium.LatLngPopup().add_to(m)
# folium.LayerControl('topleft', collapsed=True).add_to(m)
try:
map_folder = str(os.path.join(Path.home(), "Downloads/Naptan_Maps"))
Path(f'{map_folder}').mkdir(parents=True, exist_ok=True)
except FileExistsError:
print(f"{map_name} map is being created.")
else:
print("Maps folder has been created")
finally:
map_dest = f'{map_folder}/{timestr}_{map_name}.html'
m.save(map_dest)
return m