(原) Golang统计图表：沪深成交量及指数

以下代码利用go的统计图表生成库，通过调用163的沪深历史数据，生成一个统计图表。没有太多科技。

package main

import (
	"fmt"
	"io/ioutil"
	"net/http"
	"os"
	"path/filepath"
	"strconv"
	"strings"

	"github.com/PuerkitoBio/goquery"
	charts "github.com/vicanso/go-charts"
)

// 获取历史数据
func WebSearch(url string) (ret []string) {
	var lineData string
	res, err := http.Get(url)
	if err != nil {
		fmt.Println(err)
	}
	defer res.Body.Close()
	if res.StatusCode != 200 {
		fmt.Printf("status code error: %d %s", res.StatusCode, res.Status)
	}

	doc, err := goquery.NewDocumentFromReader(res.Body)
	if err != nil {
		fmt.Println(err)
	}

	doc.Find(".table_bg001 tbody tr").Each(func(i int, s *goquery.Selection) {
		lineData = ""
		s.Find("td").Each(func(n int, m *goquery.Selection) {
			lineData = fmt.Sprintf("%s %s", lineData, m.Text())
		})
		ret = append(ret, lineData)
	})
	return
}

// 保存文件
func writeFile(buf []byte, fileName string) error {
	tmpPath := "./"
	err := os.MkdirAll(tmpPath, 0700)
	if err != nil {
		return err
	}

	file := filepath.Join(tmpPath, fileName)
	err = ioutil.WriteFile(file, buf, 0600)
	if err != nil {
		return err
	}
	return nil
}

// 错误处理
func OnErr(err error) {
	if err != nil {
		panic(err)
	}
}

// 数组倒序函数
func Reverse(arr *[]string) {
	var temp string
	length := len(*arr)
	for i := 0; i < length/2; i++ {
		temp = (*arr)[i]
		(*arr)[i] = (*arr)[length-1-i]
		(*arr)[length-1-i] = temp
	}
}

func MakeChartPic(values [][]float64, x []string, legend []string, title, file string) {
	buf, err := ioutil.ReadFile("./msyh.ttf")
	OnErr(err)
	err = charts.InstallFont("noto", buf)
	OnErr(err)
	font, _ := charts.GetFont("noto")
	charts.SetDefaultFont(font)

	p, err := charts.LineRender(
		values,
		charts.TitleTextOptionFunc(title),
		charts.HeightOptionFunc(900),
		charts.WidthOptionFunc(1440),
		charts.XAxisDataOptionFunc(x),
		charts.TitleOptionFunc(charts.TitleOption{Left: "20%"}),
		charts.LegendLabelsOptionFunc(legend, charts.PositionCenter),
	)

	OnErr(err)
	buf, err = p.Bytes()
	OnErr(err)
	writeFile(buf, file)
}

func main() {
	fmt.Println("获取数据中...")
	var Array_SJ []string
	var values1, values2 [][]float64
	var SZ, SE []float64 // 上指  上证成交额
	var HZ, HE []float64 // 沪指  沪证成交额
	ShangZhen := WebSearch("http://quotes.money.163.com/trade/lsjysj_zhishu_000001.html")
	HuZhen := WebSearch("http://quotes.money.163.com/trade/lsjysj_zhishu_399001.html")
	Reverse(&ShangZhen)
	Reverse(&HuZhen)

	fmt.Println("生成图形中...")

	for _, n := range ShangZhen {
		data := strings.Split(strings.ReplaceAll(n, ",", ""), " ")
		Array_SJ = append(Array_SJ, strings.ReplaceAll(data[1], "2022", ""))
		d, _ := strconv.ParseFloat(data[5], 64)
		SZ = append(SZ, d)
		d, _ = strconv.ParseFloat(data[9], 64)
		SE = append(SE, d/10000/10000)
	}

	for _, n := range HuZhen {
		data := strings.Split(strings.ReplaceAll(n, ",", ""), " ")
		//Array_SJ = append(Array_SJ, strings.ReplaceAll(data[1], "2022", ""))
		d, _ := strconv.ParseFloat(data[5], 64)
		HZ = append(HZ, d)
		d, _ = strconv.ParseFloat(data[9], 64)
		HE = append(HE, d/10000/10000)
	}

	fmt.Println("生成成交统计图") // -----------------------------------------------------------------------
	values1 = append(values1, SE, HE)
	MakeChartPic(values1, Array_SJ, []string{"深成交", "沪成交"}, "成交额", "chart1.png")

	fmt.Println("生成指数统计图") // -------------------------------------------------------

	values2 = append(values2, SZ, HZ)
	MakeChartPic(values2, Array_SJ, []string{"深指", "沪指"}, "指数", "chart2.png")
}