【python011】经纬度点位可视化html生成（有效方案）

1.熟悉、梳理、总结项目研发实战中的Python开发日常使用中的问题、知识点等，如获取省市等边界区域经纬度进行可视化，从而辅助判断、决策。
2.欢迎点赞、关注、批评、指正，互三走起来，小手动起来！
3.欢迎点赞、关注、批评、指正，互三走起来，小手动起来！

如获取省市等特定区域经纬度进行可视化，从而辅助判断、决策
如获取省市等特定区域经纬度进行可视化，从而辅助判断、决策
如获取省市等特定区域经纬度进行可视化，从而辅助判断、决策

文章目录

- 1.省市边界经纬度`json`获取并解析
- 2.读取特定区域经纬度点位`execl`解析并自动生成html文件
- 3.可视效果

1.省市边界经纬度`json`获取并解析

经纬度点位初步压缩

import re
import os
import sys
import json
import nltk
import time
import pickle
import random
import base64
import datetime
import requests
import openpyxl
import readline
import itertools
import numpy as np
import pandas as pd
from PIL import Image
from tqdm import tqdm, trange
from bs4 import BeautifulSoup
import matplotlib.pyplot as plt
from collections import Counter
from pypinyin import lazy_pinyin, Style
from joblib import Parallel, delayed
from sklearn.linear_model import LinearRegression
import warnings
warnings.filterwarnings('ignore')

pd.set_option('display.width', 500)
pd.set_option('display.max_rows', 200)
pd.set_option('display.max_columns', 200)
pd.set_option('display.max_colwidth', 1000)

# step 1： 浙江省边界数据
zjbj_url = "https://up.caup.net/guihuayun/json/330000.json"
zjbj_datas = requests.get( zjbj_url )
zjbj_datas_json = json.loads( zjbj_datas.content )
zjbj_datas_json_list = zjbj_datas_json['geometry']['coordinates'][-1]

zjbj_points = zjbj_datas_json_list[0]
zjbj_merged_points = merge_points( zjbj_points, threshold=5000 )
print( len(zjbj_merged_points), len( zjbj_points ) )

# step 2： 杭州市边界数据
hzbj_url = "https://up.caup.net/guihuayun/json/330100.json"
datas = requests.get( hzbj_url )
datas_json = json.loads( datas.content )
datas_json_list = datas_json['geometry']['coordinates'][0]

points = datas_json_list
merged_points = merge_points(points, threshold=4000)
print(len(merged_points), len(points))

2.读取特定区域经纬度点位`execl`解析并自动生成html文件

import folium
import pandas as pd

_titles = 'http://webrd02.is.autonavi.com/appmaptile?lang=zh_cn&size=1&scale=1&style=7&x={x}&y={y}&z={z}'
_gd_tiles='http://webrd02.is.autonavi.com/appmaptile?lang=zh_cn&size=1&scale=1&style=7&x={x}&y={y}&z={z}'
san_map=folium.Map(location=[30.245853, 120.209947], zoom_start=14, tiles= _gd_tiles, attr='default')

data=pd.read_excel(r'.\gsddw_youli.xlsx')
data2 = data[['youli_dz', 'youli_jd', 'youli_wd']]

data2.columns = ['qymc','lng','lat']
data2 = data2[(data2.lng.notna()) & (data2.lng>118) & (data2.lng<121)]
# data=pd.read_csv('./stlz.csv',encoding='gbk')
data2.head(3)

for ii in data2.iterrows():
    qymc, lon, lat = ii[1][0], ii[1][1], ii[1][2]
    folium.Marker([lat,lon], popup=folium.Popup(qymc, max_width=100), tooltip=qymc, icon=folium.Icon(icon='cloud', color='green')).add_to(san_map)
    folium.Circle([lat,lon], 500, color='yellow', fill_color='yellow', fillOpacity=0.3).add_to(san_map)
    
for ii in merged_points:
    lon, lat = ii[0], ii[1]
    folium.Marker([lat, lon], popup=folium.Popup(qymc, max_width=100), tooltip=qymc, icon=folium.Icon(color='red', icon='info-sign')).add_to(san_map)
    folium.Circle([lat, lon], 500, color='red', fill_color='red', fillOpacity=0.3).add_to(san_map)
    
for ii in zjbj_merged_points:
    lon, lat = ii[0], ii[1]
    folium.Marker([lat, lon], popup=folium.Popup(qymc, max_width=100), tooltip=qymc, icon=folium.Icon(color='blue', icon='info-sign')).add_to(san_map)
    folium.Circle([lat, lon], 500, color='blue', fill_color='blue', fillOpacity=0.3).add_to(san_map)
    
san_map.save('sy_youli_vis.html')

html_lis_vis = open( r'./sy_youli_vis.html', encoding='utf8').readlines()
html_str_vis = ''.join(html_lis_vis)
html_str_vis2 = html_str_vis.replace( 'https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js','./leaflet.js' ) \
                             .replace( 'https://code.jquery.com/jquery-3.7.1.min.js','./jquery-3.7.1.min.js' )
#                              .replace( 'https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js','./bootstrap.bundle.min.js' ) \
#                              .replace( 'https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js','./leaflet.awesome-markers.js' ) \
#                              .replace( 'https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css','./leaflet.css' ) \
#                              .replace( 'https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css','./bootstrap.min.css' ) \
#                              .replace( 'https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css','./all.min.css' ) \
#                              .replace( 'https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css','./leaflet.awesome-markers.css' ) \
#                              .replace( 'https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css','./bootstrap.min.css' )

html_str_vis2_html = r"sy_youli_vis_new.html" 
f = open( html_str_vis2_html,'w', encoding='utf8')

f.write( html_str_vis2 ) 
f.close()