如何解决Python Folium - 希望添加多个标记,每个标记都有自己的 JPEG / PNG
我希望使用 Python 构建一个简单的 folium 交互式地图。在地图中会有多个标记,每个标记在弹出窗口中都会有一个 JPEG / PNG。
csv_file = 'Location List.csv'
lat = 51.001591
long = -3.034212
png = '2.jpg'
tooltip = "Click me!"
resolution,width,height = 200,10,5
base_location = 'V:/CalibrationLocations/'
location_location = f'{base_location}/Location List'
image_location = f'{base_location}/Images'
extension = 'jpg'
html = '''
<h1 style="color:#61666b;size:48">MBES Data Example Image</h1>
<br>
<img src="data:image/jpeg;base64,{}">
<br>'''.format
os.chdir(location_location)
df = pd.read_csv(csv_file)
os.chdir(image_location)
def create_map():
encoded = base64.b64encode(open(png,'rb').read()).decode('UTF-8')
iframe = IFrame(html(encoded),width=(width * resolution) + 20,height=(height * resolution) + 20)
popup = folium.Popup(iframe,max_width=2650)
icon = folium.Icon(color="red",icon="ok")
marker = folium.Marker(location=[lat,long],popup=popup,icon=icon)
m = folium.Map(location=[lat,zoom_start=5)
marker.add_to(m)
os.chdir(base_location)
m.save("index.html")
return m
if __name__ == '__main__':
map_layers = create_map()
我还使用以下代码从 CSV 文件成功创建了 Pandas DataFrame 并添加了多个标记:
def create_map():
m = folium.Map(location=[lat,zoom_start=5)
df.apply(lambda row: folium.Marker([row["Latitude"],row["Longitude"]],popup=row['ID']).add_to(m),axis=1)
os.chdir(base_location)
m.save("index.html")
return m
我尝试了下面的代码,它是前两个函数的混合体,但它只绘制了一个标记,而不是 CSV 文件中的 4。弹出窗口中也不再有 JPEG / PNG。
def create_map():
encoded = base64.b64encode(open(png,icon="ok")
m = folium.Map(location=[lat,popup=popup).add_to(m),axis=1)
os.chdir(base_location)
m.save("index.html")
return m
有没有人成功绘制了多个标记,每个标记在弹出窗口中都有一个 JPEG / PNG?
解决方法
对于任何想知道的人,我设法通过为弹出窗口创建一个对象列表(基于文件夹中的图像文件数)来解决这个问题,然后解析这个列表以创建每个标记。
以下三 (3) 个 *.py 文件中的代码:
MAC_Main.py
from folium import Map,Marker,LatLngPopup,plugins
import os
from MAC_DictionaryList import latitude_list,longitude_list,max_lat,min_lat,max_long,min_long
from MAC_Variables import base_location,start_lat,start_long,popup_objects,icon_objects
def generate_map(lat,long):
return Map([lat,long],template = 'template.html')
def add_layers(latitude,longitude,popup_object,icon_object):
base_map.add_child(Marker([latitude,longitude],popup=popup_object,icon=icon_object))
return base_map
def position_marker(map_layer):
return map_layer.add_child(LatLngPopup())
def mini_map(map_name):
minimap = plugins.MiniMap()
map_name.add_child(minimap)
def find_home(map_name):
plugins.LocateControl().add_to(map_name)
plugins.Geocoder().add_to(map_name)
def fit_bounds(map_name):
map_name.fit_bounds([[min_lat,min_long],[max_lat,max_long]])
map_name.add_child(plugins.MeasureControl())
def save_map(html_name):
os.chdir(base_location)
base_map.save(html_name)
if __name__ == '__main__':
base_map = generate_map(start_lat,start_long)
for lat,long,popup,icon in zip(latitude_list,icon_objects):
add_layers(lat,icon)
position_marker(base_map)
mini_map(base_map)
find_home(base_map)
fit_bounds(base_map)
save_map('MAC_Locations_2.html')
MAC_Variables.py
from folium import IFrame,Popup,Icon
import base64
from glob import glob
import os
def shorten(file):
shortname = os.path.splitext(os.path.basename(file))[0]
return shortname
# ---------- MAP VARIABLES -----------
start_lat = 54.7
start_long = 006.1
file_extension = 'jpg'
resolution,width,height = 180,5,5
final_width = (width * resolution) + 20
final_height = (height * resolution) + 20
zoom_level = 6
# ---------- FILE VARIABLES -----------
base_location = 'Volumes/Python/CalibrationLocations/'
image_location = f'{base_location}01 Images'
png_list = glob(f'{image_location}/*.{file_extension}')
# ---------- HTML -----------
html = '''
<h1 style="color:#61666b;size:48">{}</h1>
<br>
<img src="data:image/jpeg;base64,{}">
<br>'''.format
# ---------- OBJECTS -----------
popup_objects = [(Popup(IFrame(html(shorten(png_image),base64.b64encode(open(png_image,'rb').read()).decode('UTF-8')),width=final_width,height=final_height),max_width=2650)) for png_image in png_list]
icon_objects = [(Icon(color="red",icon="ok")) for png_image in png_list]
MAC_DictionaryList.py
location_dictionary = {'Location 1': {'Latitude': 54.5,'Longitude': 1.9},'Location 2': {'Latitude': 52,'Longitude': 2.3},'Location 3': {'Latitude': 54.7,'Longitude': 5.7},'Location 4': {'Latitude': 56,'Longitude': 4.6}
}
latitude_list = []
longitude_list = []
for key,value in location_dictionary.items():
latitude_list.append(value['Latitude'])
longitude_list.append(value['Longitude'])
max_lat = max(latitude_list)
min_lat = min(latitude_list)
max_long = max(longitude_list)
min_long = min(longitude_list
)
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