用pyecharts的map模块实现齐齐哈尔各个区县人口分布图2021/4/20
1、前言
1.1 这个是上课老师让练习的，所以就根据之前的方法改写+网上找各种方法写成的齐齐哈尔各个区县人口分布图
1.2 代码中有点注释可能是之前的，所以有的注释和当前题目要求不一定对应
2、代码
2.1 py文件
from pyecharts.charts import Geo
from pyecharts import options as opts
import csv
from pyecharts.charts import Map
from pyecharts.globals import ChartType
'''
1.1和1.2分别是对取csv文件的数据为列表和字典（这个只用到了1.1和1.3）
1.3列表转换为有数量的字典
'''
#1.1读取csv文件，把性别信息读取出来
def getInfo(filename,index):#index 参数代表从第几列开始读取
lstdata=[]
with open(filename,'r') as fr:
reader=csv.reader(fr)
for i in reader:
lstdata.append(i[index])
return lstdata
#1.2读取csv文件，并把寝室号信息读取出来
def getValues(filename):
lstsex = {
}
with open(filename,'r') as f:
reader =csv.reader(f)
for i in reader:
lstsex[i[1]]=i[2]
return lstsex
#1.3列表转换为有数量的字典
def listToDict(lstsex):
wc = dict()#{}
for i in range(len(lstsex)):
word = lstsex[i]
if word not in wc:
wc[word] = 1
else:
wc[word] += 1
return wc
def GeoMapTest(lstsex):
x1=list(lstsex.keys())#字典转为列表需要使用list才能转成功
#y是字典的value值，里面包含了每一个城市的学生数
y1=list(lstsex.values())
print(x1)
print(y1)
# #人口分布地图
# c=(Map().#"齐齐哈尔区县人口分布","齐齐哈尔",width=800,heigth=400
# add("齐齐哈尔",,visual_range=[1,10],maptype='齐齐哈尔',is_visualmap=True).render(path="齐齐哈尔各区县人口分布.html"))
# return c
aa = [list(z) for z in zip(x1, y1)]
map=Map()
# #"齐齐哈尔区县人口分布","齐齐哈尔",width=800,heigth=400#,visual_range=[1,10]
# #颜色二进制显示https://blog.csdn.net/shakespeare001/article/details/7816022
c=(
map.add("齐齐哈尔",aa,maptype='齐齐哈尔')
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(
is_piecewise=True,
pieces=[
{
"min": 0, "max": 5, "label": "0-5万", "color": "#CCFF99"},
{
"min": 6, "max": 10, "label": "6-10万", "color": "#88AA00"},
{
"min": 11, "max": 20, "label": "11-20万", "color": "#886600"},
{
"min": 21, "max": 50, "label": "21-50万", "color": "#CC6600"},
{
"min": 51, "max": 100, "label": "51-100万", "color": "#CC0000"}
]
),
title_opts=opts.TitleOpts(title="齐齐哈尔各区县人口分布",subtitle="数据来源：中国统计年鉴（万人）",pos_right="center",pos_top="5%")
)
)
c.render(path="齐齐哈尔各区县人口分布2.html")
return c
GeoMapTest(getValues("../file/齐齐哈尔2021年各区县人口new2.csv"))
2.2 参考链接
map写法参考链接：
https://blog.csdn.net/qq_32532663/article/details/113864429
16进制颜色引用链接：
https://blog.csdn.net/shakespeare001/article/details/7816022
3、结果
3.1 运行图片
3.2 运行结果的HTML代码文件
<html>
<head>
<meta charset="UTF-8">
<title>Awesome-pyechartstitle>
<script type="text/javascript" src="https://assets.pyecharts.org/assets/echarts.min.js">script>
<script type="text/javascript" src="https://assets.pyecharts.org/assets/maps/hei1_long2_jiang1_qi2_qi2_ha1_er3.js">script>
head>
<body>
<div id="1251ae6f601149799aa7fbde2f6c0659" class="chart-container" style="width:900px; height:500px;">div>
<script>
var chart_1251ae6f601149799aa7fbde2f6c0659 = echarts.init(
document.getElementById('1251ae6f601149799aa7fbde2f6c0659'), 'white', {
renderer: 'canvas'});
var option_1251ae6f601149799aa7fbde2f6c0659 = {
"animation": true,
"animationThreshold": 2000,
"animationDuration": 1000,
"animationEasing": "cubicOut",
"animationDelay": 0,
"animationDurationUpdate": 300,
"animationEasingUpdate": "cubicOut",
"animationDelayUpdate": 0,
"color": [
"#c23531",
"#2f4554",
"#61a0a8",
"#d48265",
"#749f83",
"#ca8622",
"#bda29a",
"#6e7074",
"#546570",
"#c4ccd3",
"#f05b72",
"#ef5b9c",
"#f47920",
"#905a3d",
"#fab27b",
"#2a5caa",
"#444693",
"#726930",
"#b2d235",
"#6d8346",
"#ac6767",
"#1d953f",
"#6950a1",
"#918597"
],
"series": [
{
"type": "map",
"name": "\u9f50\u9f50\u54c8\u5c14",
"label": {
"show": true,
"position": "top",
"margin": 8
},
"mapType": "\u9f50\u9f50\u54c8\u5c14",
"data": [
{
"name": "\u9f50\u9f50\u54c8\u5c14\u5e02",
"value": "526.7"
},
{
"name": "\u8bb7\u6cb3\u5e02",
"value": "67.76"
},
{
"name": "\u9f99\u6c5f\u53bf",
"value": "58.08"
},
{
"name": "\u62dc\u6cc9\u53bf",
"value": "55.32"
},
{
"name": "\u4f9d\u5b89\u53bf",
"value": "46.35"
},
{
"name": "\u514b\u5c71\u53bf",
"value": "45.65"
},
{
"name": "\u7518\u5357\u53bf",
"value": "37.55"
},
{
"name": "\u5efa\u534e\u533a",
"value": "31.63"
},
{
"name": "\u6cf0\u6765\u53bf",
"value": "30.35"
},
{
"name": "\u5bcc\u88d5\u53bf",
"value": "28"
},
{
"name": "\u9f99\u6c99\u533a",
"value": "27.86"
},
{
"name": "\u514b\u4e1c\u53bf",
"value": "27.71"
},
{
"name": "\u94c1\u950b\u533a",
"value": "26.63"
},
{
"name": "\u5bcc\u62c9\u5c14\u57fa\u533a",
"value": "21.48"
},
{
"name": "\u6885\u91cc\u65af\u8fbe\u65a1\u5c14\u65cf\u533a",
"value": "16.4"
},
{
"name": "\u6602\u6602\u6eaa\u533a",
"value": "7.21"
},
{
"name": "\u78be\u5b50\u5c71\u533a",
"value": "7.03"
}
],
"roam": true,
"aspectScale": 0.75,
"nameProperty": "name",
"selectedMode": false,
"zoom": 1,
"mapValueCalculation": "sum",
"showLegendSymbol": true,
"emphasis": {
}
}
],
"legend": [
{
"data": [
"\u9f50\u9f50\u54c8\u5c14"
],
"selected": {
"\u9f50\u9f50\u54c8\u5c14": true
},
"show": true,
"padding": 5,
"itemGap": 10,
"itemWidth": 25,
"itemHeight": 14
}
],
"tooltip": {
"show": true,
"trigger": "item",
"triggerOn": "mousemove|click",
"axisPointer": {
"type": "line"
},
"showContent": true,
"alwaysShowContent": false,
"showDelay": 0,
"hideDelay": 100,
"textStyle": {
"fontSize": 14
},
"borderWidth": 0,
"padding": 5
},
"title": [
{
"text": "\u9f50\u9f50\u54c8\u5c14\u5404\u533a\u53bf\u4eba\u53e3\u5206\u5e03",
"subtext": "\u6570\u636e\u6765\u6e90\uff1a\u4e2d\u56fd\u7edf\u8ba1\u5e74\u9274\uff08\u4e07\u4eba\uff09",
"right": "center",
"top": "5%",
"padding": 5,
"itemGap": 10
}
],
"visualMap": {
"show": true,
"type": "piecewise",
"min": 0,
"max": 100,
"inRange": {
"color": [
"#50a3ba",
"#eac763",
"#d94e5d"
]
},
"calculable": true,
"inverse": false,
"splitNumber": 5,
"orient": "vertical",
"showLabel": true,
"itemWidth": 20,
"itemHeight": 14,
"borderWidth": 0,
"pieces": [
{
"min": 0,
"max": 5,
"label": "0-5\u4e07",
"color": "#CCFF99"
},
{
"min": 6,
"max": 10,
"label": "6-10\u4e07",
"color": "#88AA00"
},
{
"min": 11,
"max": 20,
"label": "11-20\u4e07",
"color": "#886600"
},
{
"min": 21,
"max": 50,
"label": "21-50\u4e07",
"color": "#CC6600"
},
{
"min": 51,
"max": 100,
"label": "51-100\u4e07",
"color": "#CC0000"
}
]
}
};
chart_1251ae6f601149799aa7fbde2f6c0659.setOption(option_1251ae6f601149799aa7fbde2f6c0659);
script>
body>
html>