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Scala的统计

统计成绩练习
1.计算每个同学的总分和平均分
 
2.统计每个科目的平均分
 
3.列出总分前三名和单科前三名,并保存结果到文件中
 
        解题思路如下:
 
        1.读入txt文件,按行读入
 
2.处理数据
 
        (1)计算每个同学的总分平均分
 
 
 
import scala.collection.mutable.ListBuffer
 
import scala.io.Source
 
case class Student(name: String, yuwen: Double, shuxue: Double, yingyu: Double, total: Double, avg: Double)
 
//案例分析:统计成绩
 
object Test文件读写_成绩分析 {
 
def main(args: Array[String]): Unit = {
//可变List,保存索引的学生数据
val studentList = ListBuffer[Student]()
//1.按行读入
val source = Source.fromFile("score.txt") 
val it = source.getLines()//迭代器
it.next()//跳过第一行
while (it.hasNext){
val arr = it.next().split(",")//中文的逗号
val name = arr(0)
val yuwen = arr(1).toDouble
val shuxue = arr(2).toDouble
val yingyu = arr(3).toDouble
val total = yuwen + shuxue +yingyu //计算总分
val avg = total / 3 //计算平均分
//println(name,yuwen,shuxue,yingyu,total,avg)
val s = Student(name,yuwen,shuxue,yingyu,total,avg)
studentList +=s
}
source.close()
studentList.foreach(println)
}
}
 
        (2)每个科目的平均分
 
 
(3)总分的前三名
 
        (4)单科的前三名
 
  3.把结果写入文件
完整代码如下:
 
 
 
package Scala_CSDN.十一月
 
 
 
import javafx.print.Printer
 
 
 
import java.io.PrintWriter
 
import scala.collection.mutable.ListBuffer
 
import scala.io.Source
 
case class Student(name:String, yuwen:Double, shuxue:Double, yingyu:Double, total:Double, avg:Double)
 
object 统计成绩 {
 
def main(args: Array[String]): Unit = {
 
//可变List,保存所有的学生数据
 
val studentList = ListBuffer[Student]()
 
//1.按行读入文件
 
val source = Source.fromFile("score.txt")
 
val it = source.getLines() //迭代器
 
it.next()//跳过第一行
 
while (it.hasNext){
 
val arr = it.next().split(",")//中文逗号
 
val name = arr(0)
 
val yuwen = arr(1).toDouble
 
val shuxue = arr(2).toDouble
 
val yingyu = arr(3).toDouble
 
val total = yuwen + shuxue + yingyu //计算总分
 
val avg = total / 3 //计算平均分
 
val s = Student(name, yuwen, shuxue, yingyu, total, avg)
 
studentList += s
 
}
 
source.close()
 
//计算单科总分
 
var avgyuwen:Double = 0
 
var avgshuxue:Double = 0
 
var avgyingyu:Double = 0
 
studentList.foreach(s=>{
 
avgyuwen += s.yuwen
 
avgshuxue += s.shuxue
 
avgyingyu += s.yingyu
 
})
 
println("语文平均分",avgyuwen / studentList.length)
 
println("数学平均分",avgyuwen / studentList.length)
 
println("英语平均分",avgyuwen / studentList.length)
 
//总分的前三名
 
//思路:1.对所有的同学按总分从高到低排名
 
val list1 = studentList.sortWith((a,b)=>a.total > b.total).slice(0,3)
 
println("总分从高到低排名前三:")
 
list1.foreach(println)
 
//单科的前三名
 
val list2 = studentList.sortWith((a,b)=>a.yuwen > b.yuwen).slice(0,3)
 
println("语文从高到低排名前三:")
 
list2.foreach(println)
 
val list3 = studentList.sortWith((c,d)=>c.shuxue > d.shuxue).slice(0,3)
 
println("数学从高到低排名前三:")
 
list3.foreach(println)
 
val list4 = studentList.sortWith((c,d)=>c.yingyu > d.yingyu).slice(0,3)
 
println("英语从高到低排名前三:")
 
list4.foreach(println)
 
//写入文件
 
val writer = new PrintWriter("统计成绩的结果")
 
writer.println("姓名,语文成绩,数学成绩,英语成绩,总分,平均分")
 
studentList.foreach(s=>{
 
val avg = f"${s.avg}%.1f" //只保留一位有效数字
 
writer.println(s"${s.name},${s.yuwen},${s.shuxue},${s.yingyu},${s.total},${avg}")
 
})
 
writer.println("-"*40)
 
//总分前三名
 
list1.foreach(s=>{
 
val avg = f"${s.avg}%.1f"
 
writer.println(s"${s.name},${s.yuwen},${s.shuxue},${s.yingyu},${s.total},${avg}")
 
})
 
writer.println("-"*40)
 
//语文前三名
 
list2.foreach(s=>{
 
val avg = f"${s.avg}%.1f" //只保留一位有效数字
 
writer.println(s"${s.name},${s.yuwen},${s.shuxue},${s.yingyu},${s.total},${avg}")
 
})
 
writer.println("-"*40)
 
//英语前三名
 
list3.foreach(s=>{
 
val avg = f"${s.avg}%.1f" //只保留一位有效数字
 
writer.println(s"${s.name},${s.yuwen},${s.shuxue},${s.yingyu},${s.total},${avg}")
 
})
 
writer.println("-"*40)
 
//数学前三名
 
list4.foreach(s=>{
 
val avg = f"${s.avg}%.1f" //只保留一位有效数字
 
writer.println(s"${s.name},${s.yuwen},${s.shuxue},${s.yingyu},${s.total},${avg}")
 
})
 
writer.println("-"*40)
 
writer.close() //关闭文件
 
}
 
}
 
 
 
身份证查询籍贯
 
根据身份证号码前两位,输出其所属籍贯:
 
     eg:42湖北,33浙江,11北京,31上海
 
 
 
object Test_身份证查询籍贯 {
 
def main(args: Array[String]): Unit = {
 
val code = "42005200210030051".substring(0,2)
 
println(code)
 
//判断42是哪个省的
 
//湖北
 
// if(code == "42"){
 
// println("42对应省份为:湖北")
 
// }else if(code =="33"){
 
// println("浙江")
 
// }else{
 
// println()
 
// }
 
 
 
val province = code match {
 
case "11" => "北京"
 
case "12" => "天津"
 
case "13" => "河北"
 
case "14" => "山西"
 
case "15" => "内蒙古"
 
case "21" => "辽宁"
 
case "22" => "吉林"
 
case "23" => "黑龙江"
 
case "31" => "上海"
 
case "32" => "上海"
 
case "33" => "浙江"
 
case "34" => "安徽"
 
case "35" => "福建"
 
case "36" => "江西"
 
case "37" => "山东"
 
case "41" => "河南"
 
case "42" => "湖北"
 
case "43" => "湖南"
 
case "44" => "广东"
 
case "45" => "广西"
 
case "46" => "海南"
 
case "50" => "重庆"
 
case "51" => "四川"
 
case "52" => "贵州"
 
case "53" => "云南"
 
case "54" => "西藏"
 
case "61" => "陕西"
 
case "62" => "甘肃"
 
case "63" => "青海"
 
case "64" => "宁夏"
 
case "65" => "新疆"
 
case "71" => "台湾"
 
case "81" => "香港"
 
case "82" => "澳门"
 
case "91" => "国外"
 
case "_" => "未知"
 
}
 
println(province)
 
}
 
}

 


原文地址:https://blog.csdn.net/2401_87076500/article/details/144719037

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