忘了这啥是啥
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2022-07-14 12:44:48
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//app
from flask import Flask,render_template
from demo import loadData
app=Flask(__name__)
@app.route('/')
def hello_world():
expenses,count=loadData()
# print(expenses,count)
expenses=list(map(lambda x:"%.2f元"%x,expenses))
return render_template("index.html",x=expenses,y=count)
if __name__ == '__main__':
app.run(debug=True)
// demo
from sklearn.cluster import KMeans
import numpy as np
def loadData():
#city.txt处理成2块=>城市列表，消费数据列表
file=open("city.txt",encoding="utf-8")
cityName=[]
cityData=[]
for line in file:
items=line.split(",")
cityName.append(items[0])
cityData.append([items[i] for i in range(1,len(items))])
# print(cityData)
# print(cityName)
#实例化kmeans算法类的对象
kmeans=KMeans(n_clusters=5)
#调用fit_predict()
labels=kmeans.fit_predict(cityData)
#将城市名称按簇的编号分类
cityCluster=[[0],[1],[2],[3],[4]]
print(cityName)
print(labels)
for i in range(len(cityName)):#利用cityname的长度产生下标范围
cityCluster[labels[i]].append(cityName[i])
expenses=np.sum(kmeans.cluster_centers_,axis=1)
count=[]
for i in range(len(cityCluster)):
print("各消费水平：",expenses[i])
print("各城市名称：",cityCluster[i])
count.append(len(cityCluster[i]))
return expenses,count
if __name__ == '__main__':
loadData()
// index
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
</head>
<body>
<div id="box" style="width: 550px;height: 400px;margin: 0 auto"></div>
<script src="/static/echarts.min.js"></script>
<script>
var myecharts=echarts.init(document.getElementById("box"),"dark")
var option = {
title : {
text: '31省消费水平统计'
},
tooltip : {
trigger: 'axis'
},
legend: {
data:['城市数量']
},
xAxis : [
{
type : 'category',
data : {{ x | safe }}
}
],
yAxis : [
{
type : 'value'
}
],
series : [
{
name:'城市数量',
type:'bar',
data:{{ y | safe }}
},
]
};
myecharts.setOption(option);
</script>
</body>
</html>