• python绘制世界人口地图


    最近看了《python编程:从入门到实践》,里边设计的项目拿来学习学习,绘制世界人口地图。

    首先,下载数据,http://data.okfn.org/ ,从这里下载population_data.json,我没有找到书上的原版数据,下载了如下,一样可以用,数据附在后边,数据是19年4月更新的,书上的案例是2010年的,有点旧了,本案例用2017年的数据

    然后写python代码如下

    #!/usr/bin/python
    # -*- coding: UTF-8 -*-
    
    import pygal_maps_world.maps
    import json
    from country_codes import get_country_code
    
    cc_populations = {}
    with open('country_population.csv', 'r') as f:
       for line in f.readlines():
           datas = line.split(',')       
           countryCode = get_country_code(datas[0].strip('"'))
           squan = datas[-3].strip().strip('"')
           if (squan.isdigit()):
               quantity    = int(squan)
               cc_populations[countryCode] = quantity
           else:
               continue
    
    wm = pygal_maps_world.maps.World()
    wm.title = 'World Population in 2017, by Country'
    wm.add('2017', cc_populations)
    
    wm.render_to_file('World_population_1.svg')

    引入的模块country_codes需要自己写,主要实现国家名称和简称的转换,如下:

    #!/usr/bin/python
    # -*- coding: UTF-8 -*-
    
    from pygal.maps.world import COUNTRIES
     
    def get_country_code(country_name):
        #根据指定的国家,返回Pygal使用的两个字母的国别码
        for code,name in COUNTRIES.items():
            if name == country_name :
                return code
        # 如果没有找到指定的国家,就返回None
        return None

    然后运行,得到如下图,开始生成的图片是svg格式,可以通过浏览器打开查看

    对文件进行修改,按不同的范围分成不同的颜色,代码如下:

    #!/usr/bin/python
    # -*- coding: UTF-8 -*-
    
    import pygal_maps_world.maps
    import json
    from country_codes import get_country_code
    
    cc_populations = {}
    with open('country_population.csv', 'r') as f:
       for line in f.readlines():
           datas = line.split(',')       
           countryCode = get_country_code(datas[0].strip('"'))
           squan = datas[-3].strip().strip('"')
           if (squan.isdigit()):
               quantity    = int(squan)
               cc_populations[countryCode] = quantity
           else:
               continue
    
    cc_pops_1, cc_pops_2, cc_pops_3 = {}, {}, {}
     
    for cc, pop in cc_populations.items():
        if pop < 10000000:
            cc_pops_1[cc] = pop
        elif pop < 1000000000:
            cc_pops_2[cc] = pop
        else:
            cc_pops_3[cc] = pop
    
    wm = pygal_maps_world.maps.World()
    wm.title = 'World Population in 2017, by Country'
    #wm.add('2017', cc_populations)
    wm.add('0-10m', cc_pops_1)
    wm.add('10m-1bn', cc_pops_2)
    wm.add('>1bn', cc_pops_3)
    
    wm.render_to_file('World_population.svg')

    运行之后的图片如下:

    最后附上本案例用到的数据,原数据是csv格式的,如下:

    "Aruba","ABW","Population, total","SP.POP.TOTL","54211","55438","56225","56695","57032","57360","57715","58055","58386","58726","59063","59440","59840","60243","60528","60657","60586","60366","60103","59980","60096","60567","61345","62201","62836","63026","62644","61833","61079","61032","62149","64622","68235","72504","76700","80324","83200","85451","87277","89005","90853","92898","94992","97017","98737","100031","100832","101220","101353","101453","101669","102053","102577","103187","103795","104341","104822","105264","",
    "Afghanistan","AFG","Population, total","SP.POP.TOTL","8996351","9166764","9345868","9533954","9731361","9938414","10152331","10372630","10604346","10854428","11126123","11417825","11721940","12027822","12321541","12590286","12840299","13067538","13237734","13306695","13248370","13053954","12749645","12389269","12047115","11783050","11601041","11502761","11540888","11777609","12249114","12993657","13981231","15095099","16172719","17099541","17822884","18381605","18863999","19403676","20093756","20966463","21979923","23064851","24118979","25070798","25893450","26616792","27294031","28004331","28803167","29708599","30696958","31731688","32758020","33736494","34656032","35530081","",
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  • 原文地址:https://www.cnblogs.com/kumufengchun/p/10945346.html
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