selenuim&echarts——可视化分析csdn新星赛道选手展示头像、展示ip城市和断言参赛信息的有效性（进阶篇）

⭐前言

大家好，我是yma16，本文分享selenuim联合echarts——可视化分析csdn新星赛道选手城市和参赛信息的有效性。
该系列文章：
python爬虫_基本数据类型
python爬虫_函数的使用
python爬虫_requests的使用
python爬虫_selenuim可视化质量分
python爬虫_django+vue3可视化csdn用户质量分
python爬虫_正则表达式获取天气预报并用echarts折线图显示
python爬虫_requests获取bilibili锻刀村系列的字幕并用分词划分可视化词云图展示
python爬虫_selenuim登录个人markdown博客站点
python爬虫_requests获取小黄人表情保存到文件夹
python_selenuim获取csdn新星赛道选手所在城市用echarts地图显示

⭐selenuim打开赛道报名界面获取新星赛道选手主页

目标网址仍然是个人新开赛道的报名页：https://bbs.csdn.net/topics/616574177
直奔主题：思路分析+实现
实现效果：https://yma16.inscode.cc/

💖 获取参赛选手主页思路分析

基本逻辑：

• 获取表格行的元素
• 获取行行内的用户id和提交内容
• 获取完之后点击下一页按钮

实现：根据className获取父级元素（表格单行），单行元素分别提取用户id和用户提交记录
表格行

用户id元素class

用户提交记录class

下一个按钮class

💖 selenuim获取参数选手代码块

from selenium import webdriver
import time,json,re


dir_path='C:\\Users\MY\PycharmProjects\Spider_python\study2021\day07\dirver\msedgedriver.exe'
driver=webdriver.Edge(executable_path=dir_path)
url='https://bbs.csdn.net/topics/616574177'
driver.get(url)
now_url=driver.current_url
userUrlObj={}
userUidArray=[]
# get uid
def getUid():
    # 表格行数据
    cells=driver.find_elements_by_xpath('//tr[@class="el-table__row"]')
    for i in cells:
        uid=''
        aDom=i.find_elements_by_tag_name('a')
        realUrl=''
        postUrl=''
        for aItem in aDom:
            print(aItem.text)
            print(aItem.get_attribute('class'))
            aItemClassName=aItem.get_attribute('class')
            # 用户id
            if aItemClassName == 'set-ellipsis def-color':
                realUrl=aItem.get_attribute('href')
                uid=aItem.text
            # 用户提交
            elif aItemClassName == 'set-ellipsis link':
                postUrl=aItem.get_attribute('href')
        userItem={
            'uid':uid,
            'realUrl':realUrl,
            'postUrl':postUrl,
        }
        userUidArray.append(userItem)
        userUrlObj[uid]=userItem
        print(userUrlObj[uid],len(userUidArray))
    time.sleep(5)

# next
def nextBtn():
    try:
        nextBtnDom=driver.find_element_by_xpath('//button[@class="btn-next"]')
        print(nextBtnDom,nextBtnDom.text)
        disabled=nextBtnDom.get_attribute('disabled')
        print(disabled,'disabled')
        print(type(disabled),'disabled')
        print('str(disabled)',str(disabled))
        if nextBtnDom and str(disabled)!='true':
            nextBtnDom.click()
            return True
        return False
    except Exception as e:
        print(e)
        return False

def work():
    time.sleep(2)
    getUid()
    nextFlag=nextBtn()
    # return
    if nextFlag is True:
        time.sleep(1)
        return work()
    else:
        # end
        return writeJson()

def writeJson():
    with open("./joinUserProfile.json", 'w', encoding='utf-8') as write_f:
        write_f.write(json.dumps(userUrlObj, indent=4, ensure_ascii=False))
if __name__=='__main__':
    work()
    driver.close()

获取用户JSON结果：

💖 selenuim获取参数选手主页城市

实现逻辑分析：

• 主页ip属地获取：通过类名
• 用户头像：className
• 用户昵称：className

个人主页html渲染图如下：

用户头像html

python代码块实现数据扫描：

from selenium import webdriver
import time,json
dir_path='C:\\Users\MY\PycharmProjects\Spider_python\study2021\day07\dirver\msedgedriver.exe'
driver=webdriver.Edge(executable_path=dir_path)
f = open('joinUserProfile.json', 'r')
content = f.read()
f.close()
joinJson = json.loads(content)
userIpInfo={}
userIpInfoArray=[]
def getUserInfo():
    for key in joinJson.keys():
        print(key,'userIpInfo')
        requestUserInfo(key,joinJson[key]['realUrl'])

    writeJson()
# open url
def requestUserInfo(key,url):
    time.sleep(3)
    try:
        userIpInfoItem = {}
        driver.get(url)
        imgDom = driver.find_element_by_xpath('//div[@class="user-profile-avatar"]')
        imgSrc = imgDom.find_element_by_tag_name('img').get_attribute('src')
        nameDom = driver.find_element_by_xpath('//div[@class="user-profile-head-name"]')
        # first
        nickName = nameDom.find_element_by_tag_name('div').text
        ip = driver.find_element_by_xpath('//span[@class="address el-popover__reference"]').text
        userIpInfoItem['uid'] = key
        userIpInfoItem['name'] = nickName
        userIpInfoItem['imgSrc'] = imgSrc
        userIpInfoItem['ip'] = ip
        userIpInfoItem['url'] = url
        userIpInfoItem['postUrl'] = joinJson[key]['postUrl']
        userIpInfo[key] = userIpInfoItem
        userIpInfoArray.append(userIpInfoItem)
    except Exception as e:
        print(e)
    print(userIpInfo,len(userIpInfoItem))
def writeJson():
    with open("./joinUserInfo.json", 'w', encoding='utf-8') as write_f:
        write_f.write(json.dumps(userIpInfo, indent=4, ensure_ascii=False))
if __name__=='__main__':
    getUserInfo()
    driver.close()

获取结果：

💖echarts分析选手参数信息

断言参赛信息的有效性：

判断逻辑：

• 提交url记录和个人主页对比，不包含个人主页前缀则参赛选手提交无效。

gameJson 为 扫描获取的用户参数数据

const isTruth=gameJson[uid].postUrl.includes(gameJson[uid].url)

vue3+echarts显示：

<template>
    <div>
        <div style="text-align: center;">
            <a style="font-size: 24px;font-weight:bolder;">{{ state.title }}</a>
        </div>
    </div>
    <Author />
    <div style="display: flex;height: 100px;margin:10px 0 0 0">
        <div style="width: 600px;">
            赛道信息：<a href="https://bbs.csdn.net/topics/616574177" target="_blank">https://bbs.csdn.net/topics/616574177</a>
        </div>
        <div style="width: 100%;text-align: right;margin-right: 20px;">
            <a-button @click="initDataSource" type="primary">
                重置表格
            </a-button>
        </div>
    </div>
    <div style="margin:0 auto;display: flex;">
        <div>
            参赛报名总人数：<span style="font-weight: bold;color:rgba(24, 144, 255)">{{ state.totlaNum }}</span>
        </div>
        <div style="width: 50px;">

        </div>
        <div>
            参赛报名有效人数：<span style="font-weight: bold;color:rgba(9, 197, 103)">{{ state.totalRealNum }}</span>
        </div>
    </div>

    <div style="display:flex;justify-content: space-between;">
        <div style="flex:1; min-width:600px;height:600px;border: 1px solid #333;">
            <div style="width: 100%;min-width:600px;font-weight: 600;text-align: center;">{{ state.clickCity }}</div>
            <div id="barChartId" style="min-width:600px;height:600px;margin: 0 auto;">
            </div>
        </div>
        <div style="width: 600px;height:600px;border: 1px solid #333;">
            <a-table :scroll="{ x: 600, y: 450 }" :columns="state.columns" :data-source="state.dataSource"
                :loading="state.loading" :pagination="state.pagination" bordered style="border-bottom:1px solid #f0f0f0;">
                <template #bodyCell="{ column, record }">
                    <template v-if="column.key === 'imgSrc'">
                        <a-image :src="record.imgSrc" height="50" :alt="record.imgSrc" />
                    </template>
                    <template v-else-if="column.key === 'name'">
                        <a :href="record.url" target="_blank">
                            {{ record.name }}
                        </a>
                    </template>
                </template>
            </a-table>
        </div>

    </div>
</template>
<script setup>
import chinaJson from './chinaGeo.js';
import Author from './Author.vue'
import gameJson from './gameJson.js';
import { tableGameColumns } from './const.js'
import * as echarts from 'echarts';
import { defineProps, reactive, onBeforeMount, onUnmounted, onMounted } from 'vue';
const props = defineProps({
    tableData: []
})

const state = reactive({
    title: 'vue3 ts antd 参赛选手所在城市',
    clickCity: '全国',
    maxCityNum: 0,
    totalRealNum: 0,
    totlaNum: '',
    linesCoord: [],
    focusCity: '广东省',
    locationGis: [],
    centerLoction: [],
    aimPointData: [],
    airData: [],
    exportLoading: false,
    columns: tableGameColumns,
    dataSource: [],
    echartInstance: undefined,
    pagination: {
        total: 0,
        current: 1,
        pageSize: 50,
        pageSizeOptions: ['50', '100', '200'],
        showTotal: (total, range) => {
            return range[0] + '-' + range[1] + ' 共' + total + '个选手';
        },
        onShowSizeChange: changePageSize, // 改变每页数量时更新显示
        onChange: changePage,//点击页码事件
    }
})
function initDataSource() {
    state.clickCity = '全国'
    state.dataSource = []
    state.total = 0
    Object.keys(gameJson).forEach(uid => {
        const isTruth = gameJson[uid].postUrl.includes(gameJson[uid].url)
        state.dataSource.push({
            uid: gameJson[uid].uid,
            name: gameJson[uid].name,
            imgSrc: gameJson[uid].imgSrc,
            url: gameJson[uid].url,
            ip: gameJson[uid].ip.split('：')[1],
            status: isTruth ? '有效' : '无效'
        })
        // 有效人数
        if (isTruth) {
            state.totalRealNum += 1
        }
        state.total += 1
    })
    state.pagination.current = 1
    state.totlaNum = state.total
}

function filterName(name) {
    state.clickCity = name
    state.dataSource = []
    state.total = 0
    Object.keys(gameJson).forEach(uid => {
        const locName = gameJson[uid].ip.split('：')[1]
        if (name.includes(locName)) {

            state.dataSource.push({
                uid: gameJson[uid].uid,
                imgSrc: gameJson[uid].imgSrc,
                name: gameJson[uid].name,
                ip: locName
            })
            state.total += 1
        }
    })
    state.pagination.current = 1
}

function filterMapName(name) {
    const res = []
    Object.keys(gameJson).forEach(uid => {
        const locName = gameJson[uid].ip.split('：')[1]
        if (name.includes(locName)) {

            res.push({
                uid: gameJson[uid].uid,
                imgSrc: gameJson[uid].imgSrc,
                name: gameJson[uid].name,
                ip: locName
            })
        }
    })
    return res
}
onBeforeMount(() => {
    echarts.registerMap('chinaJson', chinaJson)
})

function initMap() {
    let itemData = chinaJson.features
    let length = itemData.length
    state.aimPointData = []
    state.airData = []
    state.linesCoord = []
    for (let loc = 0; loc < length; ++loc) {
        let name = itemData[loc].properties.name
        state.aimPointData.push({
            value: name
        })
        let center = itemData[loc].properties.center
        // 中心位置
        if (name.includes(state.focusCity)) {
            state.centerLoction = center
        }
    }
    for (let loc = 0; loc < length; ++loc) {
        let name = itemData[loc].properties.name
        console.log('name', name)
        let number = 0
        let center = itemData[loc].properties.center
        Object.keys(gameJson).forEach(uid => {
            const locName = gameJson[uid].ip.split('：')[1]
            if (name && name.includes(locName)) {
                number += 1
            }
        })
        state.locationGis.push({
            value: center
        })
        // eslint-disable-next-line eqeqeq
        if (name && !name.includes(state.focusCity)) {
            if (center && state.centerLoction) {
                state.linesCoord.push([center, state.centerLoction])
            }

        }
        // eslint-disable-next-line eqeqeq
        if (name) {
            let temp = {
                name: name,
                value: Number(number)
            }
            state.airData.push(temp)
        }
        if (state.maxCityNum < number) {
            state.maxCityNum = number
        }
        continue
    }
    console.log('state.maxCityNum', state.maxCityNum)

    renderEchartBar()
}

// storage
function changePage(page, pageSize) {
    state.pagination.current = page
    state.pagination.pageSize = pageSize
}
function changePageSize(current, pageSize) {
    state.pagination.current = current
    state.pagination.pageSize = pageSize
}

function renderEchartBar() {
    // 基于准备好的dom，初始化echarts实例
    const domInstance = document.getElementById('barChartId')
    if (domInstance) {
        domInstance.removeAttribute('_echarts_instance_')
    }
    else {
        return
    }
    const myChart = echarts.init(domInstance);
    const option = {
        backgroundColor: 'rgba(0,0,0,0)',//背景色
        title: {
            text: '中国地图',
            subtext: 'chinaJson',
            color: '#fff'
        },
        visualMap: { // 设置视觉映射
            min: 0,
            max: 20,
            text: ['最高', '最低'],
            realtime: true,
            calculable: true,
            inRange: {
                color: ['lightskyblue', 'yellow', 'orangered']
            }
        },
        geo: {
            // 经纬度中心
            // center: state.centerLoction,
            type: 'map',
            map: 'chinaJson', // 这里的值要和上面registerMap的第一个参数一致
            roam: false, // 拖拽
            nameProperty: 'name',
            geoIndex: 1,
            aspectScale: 0.75, // 长宽比, 默认值 0.75
            // 悬浮标签
            label: {
                type: 'map',
                map: 'chinaJson', // 这里的值要和上面registerMap的第一个参数一致
                // roam: false, // 拖拽
                // nameProperty: 'name',
                show: true,
                color: '#333',
                formatter: function (params) {
                    return params.name
                },
                // backgroundColor: '#546de5',
                align: 'center',
                fontSize: 10,
                width: (function () {
                    // let n = parseInt(Math.random() * 10)
                    return 110
                })(),
                height: 50,
                shadowColor: 'rgba(0,0,0,.7)',
                borderRadius: 10
            },
            zoom: 1.2
        },
        tooltip: {
            show: true,
            position: ['10%', '10%'],
            formatter: (params) => {
                const { name } = params.data
                const filterData = filterMapName(name)
                const strInfo = filterData.map(item => {
                    return `<img src=${item.imgSrc} width='20' height='20'/>&nbsp; ${item.name}`
                }).join('<br>')
                const value = filterData.length
                return `地区：${name}<br>
                总人数：${value} <br>
                人员信息：<br>${strInfo}`
            }
        },
        series: [
            // 坐标点的热力数据
            {
                data: state.airData,
                geoIndex: 0, // 将热力的数据和第0个geo配置关联在一起
                type: 'map',
                roam: false,
                itemStyle: {
                    normal: {
                        areaColor: "rgba(0, 0, 0, 0)",
                        borderWidth: 8, //设置外层边框
                        borderColor: "rgba(135,235, 45, 1)",
                        shadowColor: "rgba(135,235, 45, 1)",
                        shadowBlur: 40, //地图外层光晕
                    },
                },
            },
            {
                type: 'effectScatter',
                // 渲染显示
                zlevel: 3,
                showEffectOn: 'render',
                data: state.locationGis, // 配置散点的坐标数据
                coordinateSystem: 'geo', // 指明散点使用的坐标系统
                rippleEffect: {
                    // 缩放
                    scale: 4,
                    // 涟漪的颜色
                    color: '#cf6a87',
                    // 波纹数量
                    number: 2,
                    // 扩散方式 stroke(线条) fill（区域覆盖）
                    brushType: 'fill'
                },
                // 形状
                symbol: 'circle'
            },
            // 飞线层
            {
                // name: '贵阳市飞线',
                type: 'lines',
                coordinateSystem: 'geo',
                polyline: true,
                zlevel: 3,
                effect: {
                    show: true,
                    period: 10,
                    trailLength: 0, // 拖尾
                    symbol: 'arrow', // 箭头
                    color: 'red', // 样式颜色
                    symbolSize: 2
                },
                lineStyle: {
                    color: '#000',
                    width: 2,
                    type: 'solid',
                    dashOffset: 1
                },
                // 飞线层数据
                data: state.linesCoord
            }
        ],
    }
    // 使用刚指定的配置项和数据显示图表。
    myChart.setOption(option, true);
    // 监听
    state.echartInstance = myChart;
    myChart.on('click', function (params) {
        console.log('params', params)
        filterName(params.name)
    });
    window.onresize = myChart.resize;
}

onUnmounted(() => {
    window.onresize = null
})
onMounted(() => {
    initDataSource()
    initMap()
})
</script>

可视化地图表格展示：
得出结论当前有效报名人数41人

⭐结束

本文分享到这结束，如有错误或者不足之处欢迎指出！

👍 点赞，是我创作的动力！
⭐️ 收藏，是我努力的方向！
✏️ 评论，是我进步的财富！
💖 感谢你的阅读！文章来源地址https://www.toymoban.com/news/detail-600012.html

到了这里，关于selenuim&echarts——可视化分析csdn新星赛道选手展示头像、展示ip城市和断言参赛信息的有效性（进阶篇）的文章就介绍完了。如果您还想了解更多内容，请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章，希望大家以后多多支持TOY模板网！