1.熟悉、梳理、總結項目研發實戰中的Python開發日常使用中的問題、知識點等，如獲取省市等邊界區域經緯度進行可視化，從而輔助判斷、決策。
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3.歡迎點贊、關注、批評、指正，互三走起來，小手動起來！

• 如獲取省市等特定區域經緯度進行可視化，從而輔助判斷、決策
• 如獲取省市等特定區域經緯度進行可視化，從而輔助判斷、決策
• 如獲取省市等特定區域經緯度進行可視化，從而輔助判斷、決策

1.省市邊界經緯度json獲取并解析

• 經緯度點位初步壓縮

  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： 浙江省邊界數據
  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： 杭州市邊界數據
  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.讀取特定區域經緯度點位execl解析并自動生成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()
  

3.可視效果

•