Python可视化-地图染色

短命女 2022-05-26 04:05 627阅读 0赞

## 一、数据文件准备 ##

1、value.txt

0,3.19
    1,2.7
    2,2.51
    3,2.78
    4,2.61
    5,3.13
    6,3.14
    7,2.69
    8,2.51
    9,3.15
    10,3.15
    11,3.15
    12,3.15

第一列是称是序号，第二列是其对应数值。

序号与城市对应如下：

0,南京市 
    1,徐州市 
    2,淮安市
    3,盐城市
    4,宿迁市
    5,泰州市
    6,扬州市
    7,南通市
    8,连云港市 
    9,镇江市
    10,无锡市
    11,苏州市
    12,常州市

2、[jsmap.svg 下载地址：][jsmap.svg]

[https://download.csdn.net/my][jsmap.svg] （不能0积分我也hen蓝瘦，不过可以复制下面的内容）

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    <path name="常州市" fill="#D3D3D3" id="11" d="M439,510c-1.6-3.4,0.7-5.3,0.5-9.5c-0.2-4.1,2.4-9.7,4-11  c1.6-1.3,0.5-2.9-0.7-5.6s0.8-2.7,2.5-3.9s-0.6-2.9,0.1-4.7c0.7-1.8,3-3,5.1-3.9c2.1-0.9,3.5-3,3.9-4.3c0.4-1.3,0.5-2.3,2.2-2.6  c1.7-0.3,2.4,4.5,2.9,5.7c0.5,1.2,2.1,2.1,4.2,2c2.1-0.1,8.1,4.3,8.9,3.6c0.8-0.8,3.2-1.4,4.7-2.2c1.5-0.8,4.1-1.1,5.4-0.4  c1.2,0.8,1.4,5.6,1.7,7.2c0.3,1.6,2.3,3,5.6,2.6c3.4-0.4,5.6,3.9,6.8,4.8c1.1,0.9,2.2,1.2,4.3,0c2.2-1.2,1.2-4,0.8-6.2  c-0.4-2.3-2.3-4.1-5.5-6.8c-3.2-2.6,1.3-6.5,2.7-7.6c1.5-1.1,1.7-2.5,1.5-4.1c-0.3-1.6,1.5-1.8,3.5-2.2c2-0.4,1.3-5,1.1-7.6  c-0.2-2.7,1-3.4,2.7-3.4c1.6,0,0.4-2.8-0.7-4.5c-1.1-1.7-0.4-2.7,0.4-6.8c0.8-4.1-1.5-4.4-2.6-3.1s-9.6,3.9-12.2,4.8  c-2.6,0.9-3.7,2.6-5.8,2.3s-2.1-3.6-0.4-5.3c1.6-1.6,0.8-4.4,0.8-6.4c0-2-1.1-4.2,0.1-6c1.2-1.8,1.1-3.1-1-5.3  c-2-2.2-2.9-6.4-4.4-7.9c-1.5-1.5-12.1-0.5-16-0.3c-3.8,0.3-3,12.5-2.4,13.7c0.6,1.2-1.3,7-1.7,8.4c-0.4,1.5,2.7,4.3,3.5,5.5  c0.8,1.2-0.9,5-1.4,6.3c-0.5,1.2-1.2,3.4-0.7,5.9c0.5,2.5-3.5-1.1-6.4-1.8c-2.8-0.8-2.8-0.2-3.8-4.1c-1-3.8-1.9-0.6-5.1-1.2  c-3.1-0.5-0.4-1.9-3.4-5.6c-3-3.7-5.6-1.5-8.3-0.7c-2.7,0.8-4.6-3.6-7.2-4.1c-2.6-0.5-0.3,3.3-0.1,5.7c0.1,2.5-4.2-1.5-6-4.6  c-1.8-3.1-7.1,2.7-7.1,5.2s-0.7,9.3-1.1,16.3c-0.4,6.1-7.9,8.1-9.8,8.6c0.2,0.6,0.3,1.2,0.2,1.6c-0.1,2.7-2.1,6.8-2.9,7.1  c-0.8,0.3,2.4,4.4,0.3,6c-2.1,1.6-5.8,2.9-5.6,6.3c0.2,3.4,0.8,8.6,3.1,10.5c2.2,1.9,3.9,6.4,1.3,10.6c0.5,0.3,0.9,0.7,1.1,1.2  c0.7,1.4,1.1,3.6,3.4,3.6s10-1.1,10.5-2c0.6-0.9,0.6-1.7,2.7-1.6c2.1,0.1,2.4,2.8,1.3,4c-1.1,1.1-1.3,3-1.6,5c-0.3,2,0,2.6,2.6,4.3  c2.6,1.7,3.1,0,6.3,1.6c3.1,1.6,5.7,1.6,8.1,1.7c1.2,0.1,2.1,0.6,3.2,1.3C443.4,520.9,440.6,513.3,439,510z" stroke-miterlimit="10" stroke="#FFFFFF"/>
    </svg>

用来生成地图，我采用的示例是江苏省的，只精确到市。

3、染色的颜色信息

推荐一个[十六进制的颜色信息网站][Link 1]：[http://zh.spycolor.com/][Link 1]

我们设定，数值大的区域使用深色染色，数值小的区域颜色浅。

![20180424211308177][]

## 二、导入模块包 ##

可参考[Windows下安装Python、matplotlib包 及相关][Windows_Python_matplotlib_]  
https://blog.csdn.net/mikasa3/article/details/78942650

1、bs4

原名是BeautifulSoup，后经修改。

## 三、完整代码 ##

如下：

# coding=utf-8
    import sys
    reload(sys)  
    sys.setdefaultencoding('utf8')
    import csv
    from bs4 import BeautifulSoup
    def DrawBlockMap(file_name):
        reader = csv.reader(open(file_name,'r'), delimiter = ",")
        svg = open('jsmap.svg','r').read() #读取江苏省地图数据
        Price = {}
        price_only = []#记录各市的数值
        sort_value = []#记录
        sort_no = []#记录各市的排名
        for row in reader:#遍历读取的文件每一行
            try:
                temp = row[0]#序号
                price = float(row[1].strip())#价格
                Price[temp] = price
                price_only.append(price)
                sort_value.append(price)
            except:
                pass
        sort_value.sort()#对所有数值默认升序排序，计算记录各市的排名
        for i in range(len(price_only)):
            for j in range(len(sort_value)):
                if (price_only[i] == sort_value[j]):
                    sort_no.append(j)#记录当前排名
                    break
        soup = BeautifulSoup(svg,"lxml")
        paths = soup.findAll('path')
        #颜色列表
        colors = ["#FFD0E7","#FFA0D0","#FF71B8","#FF41A0", "#FF1288", "#E10071", "#B20059", "#720039","#620031","#510029","#410021","#310018","#210010"]
        path_style = 'font-size:12px;fill-rule:nonzero;stroke:#FFFFFF;stroke-opacity:1;stroke-width:0.1;stroke-miterlimit:4;stroke-dasharray:none;stroke-linecap:butt;marker-start:none;stroke-linejoin:bevel;fill:'
        count = 0
        for p in paths:
            try:
                color_class = sort_no[count]#根据排名染不同的颜色，排名越前说明值越小，所以颜色越浅
                count += 1
            except:
                continue
            color = colors[color_class]
            p['style'] = path_style + color#改变地图对应区域的颜色
        print soup.prettify()
    if __name__=='__main__':
        DrawBlockMap("value.txt")

## 四、运行结果 ##

若将文件保存命名为test.py，生成文件名为out\_js\_map.svg，则在py文件夹中命令行运行，输入：

python test.py > out_js_map.svg

可以右击![20180424211130870][]在浏览器中打开：

![20180424211147774][]

如我们所设想的，数值大的区域颜色深，反之则颜色浅。

[jsmap.svg]: https://download.csdn.net/my
[Link 1]: http://zh.spycolor.com/
[20180424211308177]: /images/20220526/810cf2d1c63a4fafbc674f5d93058e1b.png
[Windows_Python_matplotlib_]: https://blog.csdn.net/mikasa3/article/details/78942650
[20180424211130870]: /images/20220526/4c4254102adb4a2ba7a184ca29b1b2f5.png
[20180424211147774]: /images/20220526/27afe857bcf64c64a9b267ae1e4e6fc8.png