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  • 使用python语句,通过百度地图API,对已知的地名抓取经纬度 使用百度地图API官网的html例程,修改数据部分,实现呈现效果 一、使用python语句,通过百度地图API,获取经纬度读取文件信息 import pandas as pd data ...
  • 今天给大家介绍下,来自图新地球用户王泽的原创教程——利用Python获取数据,并在地图上批量标注的方法! 以成都图书馆为例,利用Python获取经纬度数据 1.利用Python抓取高德api获取图书馆位置经纬度 2.LSV...

    我们想要在地图上批量标注某一类的大量点位,该怎么操作呢?没有它的坐标数据,就没有办法批量标注。今天给大家介绍下,来自图新地球用户王泽的原创教程——利用Python获取数据,并在地图上批量标注的方法!

    以成都图书馆为例,利用Python获取经纬度数据
    1.利用Python抓取高德api获取图书馆位置经纬度

    2.LSV(图新地球)导出kml标注文件

    处理经纬度、导出kml标注文件:
    将经纬度文件导出kml文件,待标注位置用
    1.LSV顶部菜单点击“工具”,选择“Excel转KML”
    2.在弹出的对话框中点击“打开XLS”,导入Excel文件后,显示如图
    3.红色框为需要选择的内容,其中经纬度开始行,如果第一行是标题则选择第二行
    4.点击“生成点”,并预览生成结果

    3.成都地图数据下载:
    1.在LSV搜索框中,选择“地名搜索”,搜索成都市
    2.在线地图中选择适合的影像或地图
    3.在弹出的下载区设置中,点击“选择面”,并选中成都市区域
    4.输出格式选择”MBT离线地图包“下载
    5.下载级别按需求选择,建议14级以下,点击开始下载

    4.Global mapper标注样式设置
    (1)在Global mapper中导入文件,右键单击成都市图书馆文件,选择“options”,进行标注点样式设置。

    (2)选择样式,点击“Feature Types”,点击下拉框,在可选样式中进行选择。

    5.Global mapper文件导出
    在Global mapper中选择PDF或图片格式,导出文件。

    输出:成都图书馆地理位置可视化  专题图。

    所用到的软件:

    图新地球官方下载

    GlobalMapper 请自行搜索下载

    展开全文
  • python和百度地图API实现数据地图标注

    千次阅读 热门讨论 2018-10-24 15:54:50
    在上海地区测试了下批量经纬度在百度地图上的标注 先用python进行数据处理 data_html = pd.DataFrame(columns=['content']) for indexs in group.index: data_html.loc[indexs,'content'] = '{' + \ ...

    先上效果图:

    在上海地区测试了下批量经纬度在百度地图上的标注

    先用python进行数据处理

    data_html = pd.DataFrame(columns=['content'])
    
    for indexs in group.index:
        data_html.loc[indexs,'content'] = '{' + \
                                          '"lat":' + str(group.loc[indexs,'lat']) + ',' +  \
                                          '"lng":' + str(group.loc[indexs,'lon']) + ',' +  \
                                          '"quyu":' + '"' + str(group.loc[indexs,'cluster']) +'"' +   \
                                          '}' + ','
    
    data_html.to_csv ("data_html.csv",encoding="gbk",index=False)
    data_html
    

    类似于如下格式:

    <!DOCTYPE html> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <meta name="viewport" content="initial-scale=1.0, user-scalable=no" /> <style type="text/css">
    body, html,#allmap {width: 100%;height: 100%;overflow: hidden;margin:0;font-family:"微软雅黑";}
    </style> <script type="text/javascript" 
    //ak填自己申请的ak
    src="http://api.map.baidu.com/api?v=2.0& ak=3CNzed0LQ2W5PW2l0MQb9OFhfSjj9AfB">
    </script> <title>百度地图api展示</title> </head> <body> <div id="allmap"></div> </body> </html> <script type="text/javascript">
    //新建三个地图上点
    var points = [  {"lat":31.15721243142649,"lng":121.11893061613377,"quyu":"聚类-1"},
    {"lat":31.022895636171828,"lng":121.8634092322954,"quyu":"聚类-10"},
    {"lat":31.207521810244895,"lng":121.26829516708558,"quyu":"聚类-100"},
    {"lat":30.91095770991601,"lng":121.72884881113485,"quyu":"聚类-101"},
    {"lat":31.32647819209382,"lng":121.86076599818415,"quyu":"聚类-102"},
    {"lat":31.469229689599654,"lng":121.2609830271056,"quyu":"聚类-103"},
    {"lat":31.644035958268685,"lng":121.40174879068758,"quyu":"聚类-104"},
    {"lat":31.388248744719,"lng":121.72028280785207,"quyu":"聚类-105"},
    {"lat":31.05992086815603,"lng":120.99964353663078,"quyu":"聚类-106"},
    {"lat":30.815767203518664,"lng":121.158163462001,"quyu":"聚类-107"},
    {"lat":30.81097080333614,"lng":121.30047936475725,"quyu":"聚类-108"},
    {"lat":31.30842702091752,"lng":121.46113228931574,"quyu":"聚类-109"},
    {"lat":31.008620885276986,"lng":121.37149028749313,"quyu":"聚类-11"},
    {"lat":31.64258455170967,"lng":121.62596157600218,"quyu":"聚类-110"},
    {"lat":31.716718173645894,"lng":121.39300563063071,"quyu":"聚类-111"},
    {"lat":31.38886023046955,"lng":121.45023999257887,"quyu":"聚类-112"},
    {"lat":31.24654633928512,"lng":121.16058671473294,"quyu":"聚类-113"},
    {"lat":31.16996188141776,"lng":121.39496656264592,"quyu":"聚类-114"},
    {"lat":30.873695034102656,"lng":121.20020211956911,"quyu":"聚类-115"},
    {"lat":31.14873399114802,"lng":121.31941812590999,"quyu":"聚类-116"},
    {"lat":31.000228327875934,"lng":121.73336772832619,"quyu":"聚类-117"},
    {"lat":31.488789128744042,"lng":121.80439835763283,"quyu":"聚类-118"},
    {"lat":31.010073756926378,"lng":121.16219447152395,"quyu":"聚类-119"},
    {"lat":30.867567936800477,"lng":121.5839566351383,"quyu":"聚类-12"},
    {"lat":31.77732463264251,"lng":121.27211771459226,"quyu":"聚类-120"},
    {"lat":30.891012146926304,"lng":121.1190424846474,"quyu":"聚类-13"},
    {"lat":31.350042523299017,"lng":121.82540042900878,"quyu":"聚类-14"},
    {"lat":31.11214914028598,"lng":120.88532623546875,"quyu":"聚类-15"},
    {"lat":31.393207290039392,"lng":121.20944210845228,"quyu":"聚类-16"},
    {"lat":31.413325367640095,"lng":121.66424439035218,"quyu":"聚类-17"},
    {"lat":31.23292357953147,"lng":121.35904843238679,"quyu":"聚类-18"},
    {"lat":31.680316231558262,"lng":121.3407330827971,"quyu":"聚类-19"},
    {"lat":30.743835749999977,"lng":121.97422870689653,"quyu":"聚类-2"},
    {"lat":30.88321147218949,"lng":121.78650034865704,"quyu":"聚类-20"},
    {"lat":31.260947492974402,"lng":121.52945299931389,"quyu":"聚类-21"},
    {"lat":31.60612666490794,"lng":121.67473706966197,"quyu":"聚类-22"},
    {"lat":30.99888516546307,"lng":121.03535220230141,"quyu":"聚类-23"},
    {"lat":31.47600168413471,"lng":121.86540688575988,"quyu":"聚类-24"},
    {"lat":30.88798383543979,"lng":121.27684224485128,"quyu":"聚类-25"},
    {"lat":31.786934163305936,"lng":121.37784029307335,"quyu":"聚类-26"},
    {"lat":31.00109170489735,"lng":121.52742722151653,"quyu":"聚类-27"},
    {"lat":31.149896582853668,"lng":121.76405735384616,"quyu":"聚类-28"},
    {"lat":30.891082635632255,"lng":121.43449413987432,"quyu":"聚类-29"},
    {"lat":31.56201124161033,"lng":121.79667496004221,"quyu":"聚类-3"},
    {"lat":31.611727266374483,"lng":121.49649493133377,"quyu":"聚类-30"},
    {"lat":31.27531341409953,"lng":121.23449575556765,"quyu":"聚类-31"},
    {"lat":31.273079512588783,"lng":121.67248058088724,"quyu":"聚类-32"},
    {"lat":30.98111959914885,"lng":121.66840758722493,"quyu":"聚类-33"},
    {"lat":31.022469691745137,"lng":121.23430300883513,"quyu":"聚类-34"},
    {"lat":31.131409873456978,"lng":121.46022826100936,"quyu":"聚类-35"},
    {"lat":30.893805526648126,"lng":121.92249624229883,"quyu":"聚类-36"},
    {"lat":31.516806452597496,"lng":121.74479331217042,"quyu":"聚类-37"},
    {"lat":31.349112813593766,"lng":121.27593234347447,"quyu":"聚类-38"},
    {"lat":31.104173751038452,"lng":121.25450391357428,"quyu":"聚类-39"},
    {"lat":31.82239907932287,"lng":121.23820211300861,"quyu":"聚类-4"},
    {"lat":31.240131742784275,"lng":121.09543697842484,"quyu":"聚类-40"},
    {"lat":31.347752153257975,"lng":121.5300781850078,"quyu":"聚类-41"},
    {"lat":31.313631356505695,"lng":121.38680486556262,"quyu":"聚类-42"},
    {"lat":30.96680410253992,"lng":121.80367405447682,"quyu":"聚类-43"},
    {"lat":31.72310224879901,"lng":121.28615361992509,"quyu":"聚类-44"},
    {"lat":30.802755077760374,"lng":121.23697853392181,"quyu":"聚类-45"},
    {"lat":30.86556382902224,"lng":121.03643429892334,"quyu":"聚类-46"},
    {"lat":30.962723007856916,"lng":121.1092060692695,"quyu":"聚类-47"},
    {"lat":31.09159496029094,"lng":121.3784449122729,"quyu":"聚类-48"},
    {"lat":31.668200064105523,"lng":121.45524863259024,"quyu":"聚类-49"},
    {"lat":31.12385066438267,"lng":121.60366431442638,"quyu":"聚类-5"},
    {"lat":31.115667008460402,"lng":121.05401159621381,"quyu":"聚类-50"},
    {"lat":30.88716290580255,"lng":121.66302989052812,"quyu":"聚类-51"},
    {"lat":31.75595377610763,"lng":121.33363496126033,"quyu":"聚类-52"},
    {"lat":31.349149214658144,"lng":121.76325477626342,"quyu":"聚类-53"},
    {"lat":31.56307079022191,"lng":121.60316883620929,"quyu":"聚类-54"},
    {"lat":31.081522882688418,"lng":121.68852439040303,"quyu":"聚类-55"},
    {"lat":31.58710260262984,"lng":121.73670370263685,"quyu":"聚类-56"},
    {"lat":31.314888826650193,"lng":121.60335593436385,"quyu":"聚类-57"},
    {"lat":31.219063148018012,"lng":121.6027286497688,"quyu":"聚类-58"},
    {"lat":31.0495291882347,"lng":120.93308360758353,"quyu":"聚类-59"},
    {"lat":31.227954526092137,"lng":121.44882720426766,"quyu":"聚类-60"},
    {"lat":31.616839044734746,"lng":121.56200742891977,"quyu":"聚类-61"},
    {"lat":31.28516431751304,"lng":121.30794730453061,"quyu":"聚类-62"},
    {"lat":31.76825329091869,"lng":121.21171486095625,"quyu":"聚类-63"},
    {"lat":31.47634900502508,"lng":121.33448804776548,"quyu":"聚类-64"},
    {"lat":30.943624131984546,"lng":121.20034369641881,"quyu":"聚类-65"},
    {"lat":31.53914625364866,"lng":121.84882849819296,"quyu":"聚类-66"},
    {"lat":30.85258084018207,"lng":121.35978653154709,"quyu":"聚类-67"},
    {"lat":31.345791129711476,"lng":121.14377501156996,"quyu":"聚类-68"},
    {"lat":30.921518073821762,"lng":121.51878576138326,"quyu":"聚类-69"},
    {"lat":30.769390996140682,"lng":121.36443388537002,"quyu":"聚类-7"},
    {"lat":30.929469461860165,"lng":121.35930080034848,"quyu":"聚类-70"},
    {"lat":31.167007667086608,"lng":121.67380315111004,"quyu":"聚类-71"},
    {"lat":30.966257422202528,"lng":121.4460792499304,"quyu":"聚类-72"},
    {"lat":31.089905113137505,"lng":121.82645158506682,"quyu":"聚类-73"},
    {"lat":31.083227172874896,"lng":121.52901407819422,"quyu":"聚类-74"},
    {"lat":30.950760228340666,"lng":121.59893449402162,"quyu":"聚类-75"},
    {"lat":30.95448564473112,"lng":121.8820198225937,"quyu":"聚类-76"},
    {"lat":31.731154790593543,"lng":121.45730656510742,"quyu":"聚类-77"},
    {"lat":31.055227179010846,"lng":121.09987395231089,"quyu":"聚类-78"},
    {"lat":31.039020625623156,"lng":121.6084578302275,"quyu":"聚类-79"},
    {"lat":31.43313195714851,"lng":121.39245319408623,"quyu":"聚类-8"},
    {"lat":30.929222189644516,"lng":121.03280149091113,"quyu":"聚类-80"},
    {"lat":31.04864410095009,"lng":121.44539287175071,"quyu":"聚类-81"},
    {"lat":30.965738735625962,"lng":121.28790001218852,"quyu":"聚类-82"},
    {"lat":31.174619242802432,"lng":121.19622788834702,"quyu":"聚类-83"},
    {"lat":31.051198801301833,"lng":121.30738745944092,"quyu":"聚类-84"},
    {"lat":31.057436242897822,"lng":121.77235966787985,"quyu":"聚类-85"},
    {"lat":31.527386161391682,"lng":121.92147947631521,"quyu":"聚类-86"},
    {"lat":31.54037120267328,"lng":121.67849655610577,"quyu":"聚类-87"},
    {"lat":30.732197640119985,"lng":121.29773342029284,"quyu":"聚类-88"},
    {"lat":31.173576339448434,"lng":121.52939132823047,"quyu":"聚类-89"},
    {"lat":31.68956838086415,"lng":121.53011568543369,"quyu":"聚类-9"},
    {"lat":31.821075370232432,"lng":121.3132413452172,"quyu":"聚类-90"},
    {"lat":31.381382094398017,"lng":121.33362750935001,"quyu":"聚类-91"},
    {"lat":31.437788888317986,"lng":121.60196011822825,"quyu":"聚类-92"},
    {"lat":31.08576231112109,"lng":121.17416543091561,"quyu":"聚类-93"},
    {"lat":31.32311573596013,"lng":121.197706556913,"quyu":"聚类-94"},
    {"lat":30.845053324873355,"lng":121.50388874051096,"quyu":"聚类-95"},
    {"lat":30.811621194852215,"lng":121.43419483914595,"quyu":"聚类-96"},
    {"lat":31.123087894296987,"lng":120.92145331937115,"quyu":"聚类-97"},
    {"lat":30.885979528170257,"lng":121.853234138574,"quyu":"聚类-98"},
    {"lat":31.221697706049877,"lng":121.7277570358836,"quyu":"聚类-99"}
      
    ]; 
    //创建标注点并添加到地图中
    function addMarker(points) {
        //循环建立标注点
        for(var i=0, pointsLen = points.length; i<pointsLen; i++) {
            var point = new BMap.Point(points[i].lng, points[i].lat); //将标注点转化成地图上的点
            var marker = new BMap.Marker(point); //将点转化成标注点
            map.addOverlay(marker);  //将标注点添加到地图上
            //添加监听事件
            (function() {
                var thePoint = points[i];
                marker.addEventListener("click",
                    function() {
                    showInfo(this,thePoint);
                });
             })();  
        }
    }
    function showInfo(thisMarker,point) {
        //获取点的信息
        var sContent = 
        '<ul style="margin:0 0 5px 0;padding:0.2em 0">'  
        +'<li style="line-height: 26px;font-size: 15px;">'  
        +'<span style="width: 50px;display: inline-block;">id:</span>' + point.quyu + '</li>'  
        +'<li style="line-height: 26px;font-size: 15px;">'  
        +'<span style="width: 50px;display: inline-block;">纬度:</span>' +
            point.lat +
            '<span style="width: 50px;display: inline-block;"> 经度:</span>' + point.lng +'</li>'  
         
        +'</ul>';
        var infoWindow = new BMap.InfoWindow(sContent); //创建信息窗口对象
        thisMarker.openInfoWindow(infoWindow); //图片加载完后重绘infoWindow
    }
    //创建地图
    var map = new BMap.Map("allmap");    
    map.centerAndZoom(new BMap.Point(121.39, 31.34), 15);  // 设置中心点
    map.centerAndZoom( "上海");
    map.setCurrentCity("上海");          //设置上海
    map.addControl(new BMap.MapTypeControl());   
    map.enableScrollWheelZoom(true);     
    addMarker(points);
    </script>
    展开全文
  • 如题,先上效果图:主要分为两大步骤使用python语句,通过百度地图API,对已知的地名抓取经纬度使用百度地图API官网的html例程,修改数据部分,实现呈现效果一、使用python语句,通过百度地图API,获取经纬度读取...

    如题,先上效果图:

    AAffA0nNPuCLAAAAAElFTkSuQmCC主要分为两大步骤使用python语句,通过百度地图API,对已知的地名抓取经纬度

    使用百度地图API官网的html例程,修改数据部分,实现呈现效果

    一、使用python语句,通过百度地图API,获取经纬度读取文件信息

    import pandas as pd

    data = pd.read_excel('test_baidu.xlsx')

    data

    AAffA0nNPuCLAAAAAElFTkSuQmCC

    图中可以看出,原始数据并没有经纬度。

    2. 构建抓取经纬度函数

    import json

    from urllib.request import urlopen, quote

    import requests

    def getlnglat(address):

    url = 'http://api.map.baidu.com/geocoder/v2/'

    output = 'json'

    ak = '你的百度地图ak' # 百度地图ak,具体申请自行百度,提醒需要在“控制台”-“设置”-“启动服务”-“正逆地理编码”,启动

    address = quote(address) # 由于本文地址变量为中文,为防止乱码,先用quote进行编码

    uri = url + '?' + 'address=' + address + '&output=' + output + '&ak=' + ak

    req = urlopen(uri)

    res = req.read().decode()

    temp = json.loads(res)

    lat = temp['result']['location']['lat']

    lng = temp['result']['location']['lng']

    return lat,lng # 纬度 latitude , 经度 longitude ,

    3. 抓取经纬度

    for indexs in data.index:

    get_location = getlnglat(data.loc[indexs,'圈定区域'])

    get_lat = get_location[0]

    get_lng = get_location[1]

    data.loc[indexs,'纬度'] = get_lat

    data.loc[indexs,'经度'] = get_lng

    data

    AAffA0nNPuCLAAAAAElFTkSuQmCC

    已经自动查找到对应的经纬度(不排除部分搜索不准,但是大概看过,还是挺准的。)

    4. 生成HTML适配的格式

    data_html = pd.DataFrame(columns=['content'])

    for indexs in data.index:

    data_html.loc[indexs,'content'] = '{' + \

    '"lat":' + str(data.loc[indexs,'纬度']) + ',' + \

    '"lng":' + str(data.loc[indexs,'经度']) + ',' + \

    '"quyu":' + '"' + str(data.loc[indexs,'圈定区域']) +'"' + \

    '}' + ','

    data_html.to_csv ("data_html.csv",encoding="gbk")

    data_html

    AAffA0nNPuCLAAAAAElFTkSuQmCC

    生成对应的格式,然后就copy出来了。

    二、使用百度地图API官网的html例程,修改数据部分,实现呈现效果

    1. copy百度地图API官网的HTML例程

    地址:http://developer.baidu.com/map/jsdemo.htm#c1_19

    AAffA0nNPuCLAAAAAElFTkSuQmCC

    2. 修改部分内容放上自己的百度地图AK

    修改一下地图初始化显示的中心和缩放的系数

    放上自己需要显示的信息,记得把数据中最后一个的逗号删除

    修改前:

    AAffA0nNPuCLAAAAAElFTkSuQmCC

    修改后:

    AAffA0nNPuCLAAAAAElFTkSuQmCC

    题外:

    其实一开始是使用folium进行尝试的,因为可以直接生成html文件,只需要Python就行了,不需要再写HTML,但是遇到两个暂时无法解决的问题:

    1、marker不能正常显示,官网的marker都不行

    AAffA0nNPuCLAAAAAElFTkSuQmCC

    2、openstreetmap的细致程度,比不上百度地图,这个有点致命。

    AAffA0nNPuCLAAAAAElFTkSuQmCC

    展开全文
  • 百度地图标注数据量不大,希望直接读取excle生成标注;同时会有修改、编辑的需求。 项目分析 项目的没有难点,只有复杂度。如果是将标注信息固定在json或js文件中,即可实现;但是对于非编程人员,进行修改或者编辑...

    在这里插入图片描述

    项目说明

    百度地图标注数据量不大,希望直接读取excle生成标注;同时会有修改、编辑的需求。

    项目分析

    1. 项目的没有难点,只有复杂度。如果是将标注信息固定在json或js文件中,即可实现;但是对于非编程人员,进行修改或者编辑的时候,友好性太差。
    2. 读取exlce的优势在于,非编程人员可以直观的修改和编辑标注信息。完成该操作后,通过python读取excle转化为json或js文件。
    3. 可以将代码封装成exe应用程序,方便使用;

    项目代码

    导入模块

    import xlrd
    import os
    import json
    from http.server import HTTPServer, SimpleHTTPRequestHandler
    import webbrowser
    
    

    读取excel数据并将其转为js文件

    # 读取excel数据并将其转为js文件
    filename = r'data/lockdata.xls'
    
    # 判断文件是否存在
    file_data = os.path.exists(filename)
    if not file_data:
        print("系统默认data.xls表格文件不存在.")
    else:
        print("系统获取到文件,处理中...")
        data = xlrd.open_workbook(filename)  # 文件名以及路径,如果路径或者文件名有中文给前面加一个r不转义。
        # 获取你要sheet的名称
        sheet_name = data.sheet_names()
        # 根据sheet索引或者名称获取sheet内容
        sheet = data.sheet_by_index(0)
        # 获取整行和整列的值(列表)
        rows = sheet.row_values(1)  # 获取第2行内容
    
        # 自定义数组
        tables = []
        data = {}
        for rown in range(sheet.nrows):
            array = {'name': sheet.cell_value(rown, 0), 'lng': sheet.cell_value(rown, 1), 'lat': sheet.cell_value(rown, 2)}
            tables.append(array)
    
        # print(tables)
        # 删除标题头
        del tables[0]
        data = tables
    
        # 转为JSON
        res = json.dumps(data, ensure_ascii=False)
        # print(res)
    
        # 生成对应的JS数据文件
        content = 'var data ={}'.format(res)
    
        # 写入文件
        with open(r'js/poidata.js', 'w', encoding="utf-8") as f:
            f.write(content)
    
        print("经纬度数据转换完成..")
    
    

    创建http server

    # 创建http server
    class GetHttpServer(SimpleHTTPRequestHandler):
        protocol_version = "HTTP/1.0"
        server_version = "PSHS/0.1"
        sys_version = "Python/3.9.x"
        target = "./"  # 监听目录,配置项
    
        def do_get(self):
            SimpleHTTPRequestHandler.do_GET(self)
    
        def do_post(self):
            print("postmsg recv, path error")
            data = self.rfile.read(int(self.headers["content-length"]))
            data = json.loads(data)
            self.send_response(200)
            self.send_header("Content-type", "text/html")
            self.end_headers()
            rspstr = "recv ok, data = "
            rspstr += json.dumps(data, ensure_ascii=False)
            self.wfile.write(rspstr.encode("utf-8"))
    
    
    def http_server():
        ip = "localhost"  # 监听IP,配置项
        port = 8800  # 监听端口,配置项
        index_url = "http://%s:%d/index.html" % (ip, port)  # 监听主页url,配置项
        server = HTTPServer((ip, port), GetHttpServer)
        try:
            # 弹出窗口
            webbrowser.open(index_url)
            # 输出信息
            print("服务器监听地址: ", index_url)
            server.serve_forever()
        except KeyboardInterrupt:
            server.socket.close()
    
    
    # 执行服务器脚本
    http_server()
    
    

    源代码:https://download.csdn.net/download/weixin_41290949/29086018

    lockdatav Done!

    展开全文
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  • 现将存储在excel表中的详细地址导入,然后通过百度地图API查询各个地点的坐标经纬度,并将数据保存到csv文件中备用 ''' 调用百度地图API,批量输入地址查询坐标经纬度 ''' import pandas as pd import json ...
  • 第一步:安装pyechartspyecharts是一款将Python与echarts结合的强大的数据可视化工具,本文使用了0.1.9.4版本pipinstallpyecharts==0.1.9.4第二步:读取数据我的数据是在Excel表格里,如下图:Execel数据使用xlrd...
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  • python数据分析——pyecharts地图全解

    千次阅读 2021-01-13 22:55:05
    地图文件被分成了三个 Python 包,分别为: 全球国家地图: echarts-countries-pypkg (1.9MB) 中国省级地图: echarts-china-provinces-pypkg (730KB) 中国市级地图: echarts-china-cities-pypkg (3.8MB) 直接使用...

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