如何从弹出窗口中自动抓取数据？

如何解决如何从弹出窗口中自动抓取数据？

我创建了以下代码。每次我选择一个 GPS 点时，它都会在 UTM 7N 中显示其纬度和经度。如何自动“抓取”这些值并将它们直接归因于变量？

类似于：Lat = pop-up_value_Lat 和 Lon = pop-up_value_Lon

我想避免从弹出窗口手动复制/粘贴到代码。我有一些代码可以处理坐标输入并创建一些图。

我的最终目标是让用户在地图上选择一个点，并根据其坐标自动生成绘图。

Ps：真实数据集有10000个点

!pip install geopandas
!pip install folium
import folium
import geopandas
import pandas as pd
import matplotlib.pyplot as plt
from pyproj import Proj
import numpy as np

# Import the points (UTM 7N)
#coordinates = pd.read_csv('C500.csv',header=None,names=['X','Y'])
hehe = [[   489460.204867,6.652555e+06],[489341.587385,6.652221e+06],[489260.835944,6.651794e+06],[     489243.471073,6.651295e+06]] 
coordinates = pd.DataFrame(hehe,columns = ['X','Y']) 

# Create a 2nd dataframe with coordinates in wgs84
data = np.zeros((len(coordinates),2))

myProj = Proj("+proj=utm +zone=7N,+south +ellps=wgs84 +datum=wgs84 +units=m +no_defs")
lon,lat = myProj(coordinates['X'].values,coordinates['Y'].values,inverse=True)

data[:,0] = lon
data[:,1] = lat
columns=["Lon","Lat"]

coordinates_latlon = pd.DataFrame(data=data,columns=columns)

# Add 2 columns with coordinates in str format
coordinates['Lat_str'] = coordinates['Y'].apply(str)
coordinates['Lon_str'] = coordinates['X'].apply(str)


import folium
malaspina_map = folium.Map(location=[60.307299,-140.834591],zoom_start=9,tiles='cartodbpositron')

# Prepare the allocation of points on the map
locations = coordinates_latlon[['Lat','Lon']]
locationlist = locations.values.tolist()


# display the points such as a click on them will reveal their coordinates in UTM 7N
for point in range(0,len(locationlist)):
    folium.Marker(locationlist[point],popup=('Lat =' + coordinates['Lat_str'][point] + '<br>' + 'Lon =' + coordinates['Lon_str'][point])).add_to(malaspina_map)

# Add a background satellite image
tile = folium.TileLayer(
        tiles = 'https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}',attr = 'Esri',name = 'Esri Satellite',overlay = False,control = True
       ).add_to(malaspina_map)

malaspina_map