• 空间数据可视化:1. 3D_Bar图表| 空间柱状图


    1.Sublime的使用

    中文版的配置

    https://jingyan.baidu.com/article/ca2d939d1e83feeb6c31cefc.html (百度经验)

    sublime里边运行python文件:

    1.点击菜单栏中的Tools —> Build System —> New Build System

    2.将如下内容复制到 sublime_build中,替换原有的

    {
        "env": {
            "PATH":"C:\Users\Administrator\AppData\Local\Programs\Python\Python36\python36.zip;%PATH%"
        },
        "shell_cmd": "python3 -u "$file"",
        "file_regex": "^[ ]*File "(...*?)", line ([0-9]*)",
        "selector": "source.python",
        //"encoding": "cp936"
        "encoding": "utf-8"
    }

    3.将标记内容更改为自己的Python路径(import sys   print( sys.path )

    注意:如果python.exe名称自己有修改,则改为自己修改的名称,比如我的是Python3.exe,以及shell_cmd里面一起修改

    4.另存为Python3

    5.再次点击菜单栏中的Tools —> Build System,勾选Python3即可

    6.在自己要运行的界面里,点击Tools —> Build后者Ctrl+B运行

     2.立体动态图 3D图表

    有点像用seaborn做热图时

    X Y定位空间位置,Z轴是才是它实际的value值。 可以交互的动态的图,通过颜色和大小做值的渐变

    Excell数据(这种格式,X坐标、y坐标,value值,按照这种格式写好就可以了)

     data.js

    var data = [[0,0,5],[0,1,1],[0,2,0],[0,3,0],[0,4,0],[0,5,0],[0,6,0],[0,7,0],[0,8,0],[0,9,0],[0,10,0],[0,11,2],[0,12,4],[0,13,1],[0,14,1],[0,15,3],[0,16,4],[0,17,6],[0,18,4],[0,19,4],[0,20,3],[0,21,3],[0,22,2],[0,23,5],[1,0,7],[1,1,0],[1,2,0],[1,3,0],[1,4,0],[1,5,0],[1,6,0],[1,7,0],[1,8,0],[1,9,0],[1,10,5],[1,11,2],[1,12,2],[1,13,6],[1,14,9],[1,15,11],[1,16,6],[1,17,7],[1,18,8],[1,19,12],[1,20,5],[1,21,5],[1,22,7],[1,23,2],[2,0,1],[2,1,1],[2,2,0],[2,3,0],[2,4,0],[2,5,0],[2,6,0],[2,7,0],[2,8,0],[2,9,0],[2,10,3],[2,11,2],[2,12,1],[2,13,9],[2,14,8],[2,15,10],[2,16,6],[2,17,5],[2,18,5],[2,19,5],[2,20,7],[2,21,4],[2,22,2],[2,23,4],[3,0,7],[3,1,3],[3,2,0],[3,3,0],[3,4,0],[3,5,0],[3,6,0],[3,7,0],[3,8,1],[3,9,0],[3,10,5],[3,11,4],[3,12,7],[3,13,14],[3,14,13],[3,15,12],[3,16,9],[3,17,5],[3,18,5],[3,19,10],[3,20,6],[3,21,4],[3,22,4],[3,23,1],[4,0,1],[4,1,3],[4,2,0],[4,3,0],[4,4,0],[4,5,1],[4,6,0],[4,7,0],[4,8,0],[4,9,2],[4,10,4],[4,11,4],[4,12,2],[4,13,4],[4,14,4],[4,15,14],[4,16,12],[4,17,1],[4,18,8],[4,19,5],[4,20,3],[4,21,7],[4,22,3],[4,23,0],[5,0,2],[5,1,1],[5,2,0],[5,3,3],[5,4,0],[5,5,0],[5,6,0],[5,7,0],[5,8,2],[5,9,0],[5,10,4],[5,11,1],[5,12,5],[5,13,10],[5,14,5],[5,15,7],[5,16,11],[5,17,6],[5,18,0],[5,19,5],[5,20,3],[5,21,4],[5,22,2],[5,23,0],[6,0,1],[6,1,0],[6,2,0],[6,3,0],[6,4,0],[6,5,0],[6,6,0],[6,7,0],[6,8,0],[6,9,0],[6,10,1],[6,11,0],[6,12,2],[6,13,1],[6,14,3],[6,15,4],[6,16,0],[6,17,0],[6,18,0],[6,19,0],[6,20,1],[6,21,2],[6,22,2],[6,23,6]];

    x轴和y轴  一直到(0,23)0-6对应的是星期一到星期天; 第二个值0-23是对应每天的每个小时;最后一个值就是它的value值了

     安装

    pip install xlrd

     3D_bar_dataread.py

    import pandas as pd
    import os
    
    os.chdir(r'C:UsersAdministratorDesktoppython数据分析ch0402_3D_Bar')  # 输入文件所在路径,例如:'C:/Users/Desktop/'
    data = pd.read_excel('data.xlsx',  # 输入文件名字
                        sheetname=0,
                        header=0)
    
    xAxis = list(data.index)
    
    yAxis = list(data.columns)
    
    datalst = []
    xlen = len(data.index)
    ylen = len(data.columns)
    for x in range(xlen):
        for y in range(ylen):
            lst = [y,x,data.ix[x,y]]
            datalst.append(lst)
    
    print('转换后数据为:
    ',datalst)
    print('xAxis值为:
    ',xAxis)
    print('yAxis值为:
    ',yAxis)
    print('xlen参考值为:
    ',xlen*10)  # 乘10是指柱状图的格子大小为10
    print('ylen参考值为:
    ',ylen*10)

    Ctrl+B运行

    The `sheetname` keyword is deprecated, use `sheet_name` instead
      **kwds)
    转换后数据为:
     [[0, 0, 4.9156477861188534], [1, 0, 8.53013104457199], [2, 0, 2.3966746374081085], [3, 0, 8.96614811567404], [4, 0, 0.49212700528369013], [0, 1, 0.8430924053257005], [1, 1, 1.8970204017154813], [2, 1, 1.4402684472667127], [3, 1, 5.1937950372578765], [4, 1, 5.591693145746271], [0, 2, 5.756424505906056], [1, 2, 2.4916215650308002], [2, 2, 7.642999976437576], [3, 2, 7.7395775600897885], [4, 2, 8.934439468088645], [0, 3, 3.3601214732150075], [1, 3, 3.1579973366364387], [2, 3, 1.1924217019101435], [3, 3, 8.75709690351033], [4, 3, 3.634423643854209], [0, 4, 5.596185995369281], [1, 4, 1.7926569711248308], [2, 4, 9.70198416836584], [3, 4, 4.428563919985305], [4, 4, 9.427864291924186], [0, 5, 0.5787375181133048], [1, 5, 5.436760487016501], [2, 5, 9.07811022950425], [3, 5, 1.998463738942594], [4, 5, 2.1853985629578467], [0, 6, 5.958581605440752], [1, 6, 2.33402023401755], [2, 6, 6.549038412655259], [3, 6, 9.086126753080386], [4, 6, 2.500673385193041], [0, 7, 7.5893602621369505], [1, 7, 7.137293393947046], [2, 7, 7.624664854569665], [3, 7, 7.690346741760077], [4, 7, 7.991083633564251], [0, 8, 7.933883830813127], [1, 8, 7.679037450015423], [2, 8, 5.692742852046647], [3, 8, 7.690526845772716], [4, 8, 3.982773710963037], [0, 9, 5.212425050002855], [1, 9, 2.1403587812338323], [2, 9, 5.048005374139314], [3, 9, 3.227799454551131], [4, 9, 1.4534352371321546]]
    xAxis值为:
     ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']
    yAxis值为:
     ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']
    xlen参考值为:
     100
    ylen参考值为:
     50
    [Finished in 14.5s]

    把data.js数据替换下

    var data =  [[0, 0, 4.9156477861188534], [1, 0, 8.53013104457199], [2, 0, 2.3966746374081085], [3, 0, 8.96614811567404], [4, 0, 0.49212700528369013], [0, 1, 0.8430924053257005], [1, 1, 1.8970204017154813], [2, 1, 1.4402684472667127], [3, 1, 5.1937950372578765], [4, 1, 5.591693145746271], [0, 2, 5.756424505906056], [1, 2, 2.4916215650308002], [2, 2, 7.642999976437576], [3, 2, 7.7395775600897885], [4, 2, 8.934439468088645], [0, 3, 3.3601214732150075], [1, 3, 3.1579973366364387], [2, 3, 1.1924217019101435], [3, 3, 8.75709690351033], [4, 3, 3.634423643854209], [0, 4, 5.596185995369281], [1, 4, 1.7926569711248308], [2, 4, 9.70198416836584], [3, 4, 4.428563919985305], [4, 4, 9.427864291924186], [0, 5, 0.5787375181133048], [1, 5, 5.436760487016501], [2, 5, 9.07811022950425], [3, 5, 1.998463738942594], [4, 5, 2.1853985629578467], [0, 6, 5.958581605440752], [1, 6, 2.33402023401755], [2, 6, 6.549038412655259], [3, 6, 9.086126753080386], [4, 6, 2.500673385193041], [0, 7, 7.5893602621369505], [1, 7, 7.137293393947046], [2, 7, 7.624664854569665], [3, 7, 7.690346741760077], [4, 7, 7.991083633564251], [0, 8, 7.933883830813127], [1, 8, 7.679037450015423], [2, 8, 5.692742852046647], [3, 8, 7.690526845772716], [4, 8, 3.982773710963037], [0, 9, 5.212425050002855], [1, 9, 2.1403587812338323], [2, 9, 5.048005374139314], [3, 9, 3.227799454551131], [4, 9, 1.4534352371321546]];

    settings.js

    // 此脚本用于修改图表的参数
    
    // 颜色分配和透明度, 及数据的大小值
    var colorRamp = ['#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf', '#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026'];
    var theOpac   = 0.8; // 0-1之间有效,透明度
    var theMin = 0 ;
    var theMax = 8 ;  //value值里边的数字变化,设置8了,它们的颜色变化就会很明显了;
    
    // x轴 y轴 z轴是以数字还是文字作为坐标
    var xType = 'category'; // 文字坐标
    var yType = 'category'; // 文字坐标,文字显示就会显示下面标红的坐标;var yType = 'value'; //数字坐标,这样子它的y轴就不会显示Monday、Tuesday...,只显示1、2..
    var zType = 'value'; // 数字坐标
    
    // xyz轴名称
    var xAxisName = 'ok';
    var yAxisName = 'y';
    var zAxisName = 'z';
    
    // x轴 y轴 z轴坐标
    var xAxis =  ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'];  //x轴坐标标签
    
    var yAxis =  ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']; //y轴标签
    
    var zAxis = []; // z轴为数字坐标,故不需定义坐标轴文字
    
    // 各轴长度,它的长度
    var xLen  = 100; //设置成200,x轴就会拉的很长
    var yLen  = 50;
    var zLen  = 100;
    
    // 是否直接显示高度值, 及字体大小及颜色
    var labelShow = false; // or false  
    var labelSize = 10;
    var labelColor = '#000'
    
    // 点亮时是否显示标签,及字体大小
    var emphaShow = true; // or false
    var emphaSize = 10;

    Ctrl+s保存

    颜色参数

     颜色生成在线网址:

    https://coolors.co/87f1ff-c0f5fa-bd8b9c-af125a-582b11

    HTML页面展示:

    3.空间柱状图

    空间位置+value 

    数据结构:

    核心参数---->>lng,lat,value(注意坐标系)

    数据来源 :城市数据团申请服务;采集数据,例如metrodata.cn官网

    3.1 Powermap空间制图

    Office可视化大杀器Power Map  --  安装office2016

    设置下

    效果展示:

    Ctrl+N新建一个excel,在之前的文件基础上加一个time字段:

    1 2 3 4 5.......在数字格式---短日期

    效果展示:

     3.2 Echarts空间制图

    data(数据,格式如下;要把它变成空间可视化)

    3D_bar_Map_dataread.py

    import pandas as pd
    import os
    
    os.chdir(r'C:UsersAdministratorDesktoppython数据分析ch0403_空间柱状图data02_3D_Bar_Map')  # 输入文件所在路径,例如:'C:/Users/Desktop/'
    data = pd.read_excel('data.xlsx', sheetname=0,header=0)
    
    datajs = data.to_json(orient='records',force_ascii=False)  #pandas里边的to_json,直接给转换成json格式
    
    print('转换后数据为:
    ',datajs)

     Ctrl+B

    The `sheetname` keyword is deprecated, use `sheet_name` instead
      **kwds)
    转换后数据为:
     [{"name":"虹桥火车站","lng":121.327908,"lat":31.20033,"value":7.3407429421},{"name":"上海火车站","lng":121.46396,"lat":31.255155,"value":2.9960880561},{"name":"人民广场","lng":121.481022,"lat":31.238795,"value":4.5109990208},{"name":"徐家汇","lng":121.443173,"lat":31.200871,"value":0.4187131824},{"name":"陕西南路","lng":121.465323,"lat":31.221939,"value":2.687391783},{"name":"徐泾东","lng":121.307524,"lat":31.195432,"value":6.8063552692},{"name":"南京东路","lng":121.490857,"lat":31.243738,"value":0.6089071887},{"name":"秀沿路","lng":121.605134,"lat":31.143725,"value":8.5582326712},{"name":"金海路","lng":121.64549,"lat":31.269485,"value":4.8523237889},{"name":"静安寺","lng":121.453901,"lat":31.229402,"value":5.6587077025},{"name":"世纪大道","lng":121.533437,"lat":31.234854,"value":3.5615305566},{"name":"东川路","lng":121.426326,"lat":31.024468,"value":1.5350381591},{"name":"松江体育中心","lng":121.237089,"lat":31.022048,"value":0.8463627516},{"name":"国权路","lng":121.516744,"lat":31.295351,"value":8.4736449224},{"name":"滴水湖","lng":121.935988,"lat":30.9134,"value":0.5968277799},{"name":"淮海中路","lng":121.470677,"lat":31.226198,"value":4.0332432683},{"name":"昌吉东路","lng":121.206771,"lat":31.29994,"value":8.2210441181},{"name":"沈杜公路","lng":121.518811,"lat":31.067056,"value":3.402198571},{"name":"南京西路","lng":121.46678,"lat":31.236135,"value":2.2437322416},{"name":"芦恒路","lng":121.504377,"lat":31.124907,"value":1.2370528061},{"name":"野生动物园","lng":121.706186,"lat":31.056406,"value":4.5164108044},{"name":"漕河泾开发区","lng":121.404164,"lat":31.17622,"value":0.6056099952},{"name":"广兰路","lng":121.627179,"lat":31.216703,"value":9.9125985845},{"name":"常熟路","lng":121.456628,"lat":31.219964,"value":0.5536006201},{"name":"昌平路","lng":121.448746,"lat":31.240476,"value":3.7910493709},{"name":"陆家浜路","lng":121.492716,"lat":31.217413,"value":7.3008328386},{"name":"龙阳路","lng":121.56405,"lat":31.209166,"value":0.988345599},{"name":"御桥","lng":121.577365,"lat":31.164663,"value":2.0199242998},{"name":"徐家汇站","lng":121.444211,"lat":31.202406,"value":2.5237342843},{"name":"浦东国际机场","lng":121.812652,"lat":31.156503,"value":4.1927199959},{"name":"颛桥","lng":121.408435,"lat":31.072842,"value":1.2269919106},{"name":"豫园","lng":121.4939,"lat":31.234006,"value":3.5347037366},{"name":"民雷路","lng":121.674609,"lat":31.274649,"value":8.0824280991},{"name":"江苏路","lng":121.437716,"lat":31.226546,"value":8.703271597},{"name":"陆家嘴","lng":121.508824,"lat":31.243637,"value":2.5232424466},{"name":"川沙","lng":121.704499,"lat":31.192886,"value":6.6057252818},{"name":"台儿庄路","lng":121.603984,"lat":31.258705,"value":6.3192926576},{"name":"延安西路","lng":121.423577,"lat":31.215772,"value":8.3789266814},{"name":"北新泾","lng":121.38064,"lat":31.222104,"value":6.2982875803},{"name":"汉中路","lng":121.46524,"lat":31.247193,"value":7.7516877321},{"name":"莲花路","lng":121.409334,"lat":31.136734,"value":7.5194362597},{"name":"娄山关路","lng":121.410818,"lat":31.216958,"value":8.8109021401},{"name":"交通大学","lng":121.440977,"lat":31.208554,"value":7.9037741174},{"name":"商城路","lng":121.52289,"lat":31.236125,"value":5.5859375525},{"name":"远东大道","lng":121.762161,"lat":31.2052,"value":2.1622423702},{"name":"金桥","lng":121.619064,"lat":31.266889,"value":3.8637847102},{"name":"锦江乐园","lng":121.42068,"lat":31.148312,"value":0.6134901891},{"name":"张江高科","lng":121.594061,"lat":31.207879,"value":8.7174249067},{"name":"中山公园","lng":121.423065,"lat":31.224175,"value":3.7837490415},{"name":"伊犁路","lng":121.410671,"lat":31.204634,"value":0.3080011355},{"name":"华夏中路","lng":121.589873,"lat":31.18115,"value":5.8912408742},{"name":"南京西路","lng":121.465932,"lat":31.23413,"value":5.4378348835},{"name":"金桥路","lng":121.588374,"lat":31.263292,"value":8.9263825643},{"name":"银都路","lng":121.396872,"lat":31.095083,"value":7.1064823392},{"name":"顾唐路","lng":121.663,"lat":31.272188,"value":4.0666699752},{"name":"松江大学城","lng":121.239201,"lat":31.060041,"value":4.9610210153},{"name":"南京西路","lng":121.468949,"lat":31.234645,"value":0.2050858516},{"name":"大世界","lng":121.485885,"lat":31.233128,"value":1.8889838019},{"name":"周浦东","lng":121.613533,"lat":31.1158,"value":5.6535679219},{"name":"淞虹路","lng":121.365797,"lat":31.223999,"value":3.8593398999},{"name":"蓝村路","lng":121.534381,"lat":31.217627,"value":0.8594273219},{"name":"金科路","lng":121.608557,"lat":31.209932,"value":6.2901136392},{"name":"打浦桥","lng":121.475402,"lat":31.212073,"value":1.6192934483},{"name":"上海南站","lng":121.436696,"lat":31.160423,"value":8.7363502024},{"name":"野生动物园地铁站","lng":121.706205,"lat":31.056603,"value":7.36509888},{"name":"宝杨路(地铁站)","lng":121.486105,"lat":31.401136,"value":7.2140575938},{"name":"申崇6线B线","lng":121.595149,"lat":31.308277,"value":1.1236133586},{"name":"市光路站地铁站","lng":121.53875,"lat":31.329292,"value":3.8934733441},{"name":"刘行(地铁站)","lng":121.368979,"lat":31.363353,"value":1.0393900117},{"name":"申江路(地铁站)","lng":121.633434,"lat":31.285885,"value":9.4505920138},{"name":"杨高中路地铁站(公交站)","lng":121.556305,"lat":31.233591,"value":9.8886654799},{"name":"浦东大道(地铁站)","lng":121.525951,"lat":31.245786,"value":4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     settings.js

    // 此脚本用于修改图表的参数
    
    // 颜色分配
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    var theOpac   = 0.5; // 透明度 0-1
    
    // 地图相关
    var theCenter = [116.3981339417,39.9023997331];//中心点坐标,注意位置顺序
    var theZoom   = 9; //视角远近 数字
    var theBear   = 0; // 地图旋转角度,正北为0,正东为90,正西为270,以此类推
    var thePitch  = 40;   // 地图俯瞰角度,0为顶视图,60以上效果甚微
    
    // mapStyle 与 mapAccessToken 另见说明
    //var mapStyle  = 'mapbox://styles/yipeiz/cjb788d051eue2rp5hhq2jw2h';
    var mapStyle = 'mapbox://styles/kris12/cjmmok9gd0vms2rn42wxhb7t9';
    var mapAccessToken = 'pk.eyJ1Ijoia3JpczEyIiwiYSI6ImNqbW1vaDQ1cjAyMG4zcHFvbnM4azZ2dHMifQ.nBz6YgmR7Sfgdo7xLcxPpw';
    
    // 点柱设置
    var barSize   = 0.2; // 点柱大小
    var barCorner = 0.5; // 点柱倒角,取值范围 0-1
    
    // 光源设置
    var theShadow = true; // 是否设置光源阴影
    var theAlpha  = -40; // 光源高度
    var theBeta   = 20; // 光源方向

    坐标拾取系统:

     http://www.gpsspg.com/maps.htm

    mapStyle 与 mapAccessToken的设置

    mapbox
    https://www.mapbox.com/

     mapbok底图获取方法:

    1.注册登录 ; 2.创建底图:点击左边栏Styles -- 页面上的New style --选择 -- 一个底图并点击create

     

     

     HTML页面展示:

     

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  • 原文地址:https://www.cnblogs.com/shengyang17/p/9716465.html
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