因为不会做报表被开除，愤怒杀入可视化拿offer

Python 大数据实现动态可视化大屏

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今天有幸又和大家来讨论一下，Python 大数据实现动态可视化大屏该怎么制作！
当然，被开除的标题都是玩笑话，让我们一起走进今天的讨论交流，希望大家都可以获得自己想要的分析展示。

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前言

相信很多人都希望可以拥有一个展板用来每次公司年会做分析，那么今天就来了！

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让我们一起来看看！

一、准备app.py

先创建一个文件名字叫：app.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2020/8/26 14:48
# @Author : way
# @Site :
# @Describe:

from flask import Flask, render_template
from data import SourceData
from data_corp import CorpData
from data_job import JobData
from flask import Flask,render_template
from flask import Flask, render_template
from data import SourceData
from data_corp import CorpData
from data_job import JobData
import os
app = Flask(__name__)


@app.route('/')
def index():
    data = SourceData()
    return render_template('index.html', form=data, title=data.title)


@app.route('/corp')
def corp():
    data = CorpData()
    return render_template('index.html', form=data, title=data.title)


@app.route('/job')
def job():
    data = JobData()
    return render_template('index.html', form=data, title=data.title)


if __name__ == "__main__":
    app.run(host='127.0.0.1', debug=True)

有了这个以后，我们就可以启动我们的展板，接下来我们来准备数据

二、准备data.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2020/8/26 14:48
# @Author : way
# @Site : 
# @Describe:

class SourceDataDemo:

    def __init__(self):
        self.title = '12312'
        self.counter = {'name': '2020年总收入情况', 'value': 12581189}
        self.counter2 = {'name': '2020年总支出情况', 'value': 3912410}
        self.echart1_data = {
            'title': '中铁四局业务分支',
            'data': [
                {"name": "路桥建设", "value": 47},
                {"name": "基础建设", "value": 52},
                {"name": "房地产建设", "value": 90},
                {"name": "政府建设", "value": 84},
                {"name": "海外建设", "value": 79},
                {"name": "福利建设", "value": 37},
                {"name": "高精尖建设", "value": 200},
            ]
        }
        self.echart2_data = {
            'title': '四局力量省份分布',
            'data': [
                {"name": "浙江", "value": 47},
                {"name": "上海", "value": 52},
                {"name": "江苏", "value": 90},
                {"name": "广东", "value": 84},
                {"name": "北京", "value": 99},
                {"name": "深圳", "value": 37},
                {"name": "安徽", "value": 150},
            ]
        }
        self.echarts3_1_data = {
            'title': '员工年龄分布',
            'data': [
                {"name": "20岁以下", "value": 7},
                {"name": "20-29岁", "value": 52},
                {"name": "30-39岁", "value": 90},
                {"name": "40-49岁", "value": 84},
                {"name": "50岁以上", "value": 99},
            ]
        }
        self.echarts3_2_data = {
            'title': '中铁四局工程分布',
            'data': [
                {"name": "电子商务", "value": 10},
                {"name": "教育", "value": 20},
                {"name": "IT/互联网", "value": 20},
                {"name": "金融", "value": 30},
                {"name": "房地产", "value": 40},
                {"name": "其他", "value": 50},
            ]
        }
        self.echarts3_3_data = {
            'title': '员工兴趣分布',
            'data': [
                {"name": "汽车", "value": 4},
                {"name": "旅游", "value": 5},
                {"name": "财经", "value": 9},
                {"name": "教育", "value": 8},
                {"name": "软件", "value": 9},
                {"name": "其他", "value": 9},
            ]
        }
        self.echart4_data = {
            'title': '时间业绩趋势',
            'data': [
                {"name": "基础建设", "value": [3, 4, 3, 4, 3, 4, 3, 6, 2, 4, 2, 4, 3, 4, 3, 4, 3, 4, 3, 6, 2, 4, 4]},
                {"name": "房地产建设", "value": [5, 3, 5, 6, 1, 5, 3, 5, 6, 4, 6, 4, 8, 3, 5, 6, 1, 5, 3, 7, 2, 5, 8]},
            ],
            'xAxis': ['01', '02', '03', '04', '05', '06', '07', '08', '09', '11', '12', '13', '14', '15', '16', '17',
                      '18', '19', '20', '21', '22', '23', '24'],
        }
        self.echart5_data = {
            'title': '省份事业部分布',
            'data': [
                {"name": "浙江", "value": 2},
                {"name": "上海", "value": 3},
                {"name": "江苏", "value": 3},
                {"name": "广东", "value": 9},
                {"name": "北京", "value": 15},
                {"name": "深圳", "value": 18},
                {"name": "安徽", "value": 20},
                {"name": "四川", "value": 13},
            ]
        }
        self.echart6_data = {
            'title': '一线城市项目情况',
            'data': [
                {"name": "浙江", "value": 80, "value2": 20, "color": "01", "radius": ['59%', '70%']},
                {"name": "上海", "value": 70, "value2": 30, "color": "02", "radius": ['49%', '60%']},
                {"name": "广东", "value": 65, "value2": 35, "color": "03", "radius": ['39%', '50%']},
                {"name": "北京", "value": 60, "value2": 40, "color": "04", "radius": ['29%', '40%']},
                {"name": "深圳", "value": 50, "value2": 50, "color": "05", "radius": ['20%', '30%']},
            ]
        }
        self.map_1_data = {
            'symbolSize': 100,
            'data': [
                {'name': '海门', 'value': 239},
                {'name': '鄂尔多斯', 'value': 231},
                {'name': '招远', 'value': 203},
            ]
        }

    @property
    def echart1(self):
        data = self.echart1_data
        echart = {
            'title': data.get('title'),
            'xAxis': [i.get("name") for i in data.get('data')],
            'series': [i.get("value") for i in data.get('data')]
        }
        return echart

    @property
    def echart2(self):
        data = self.echart2_data
        echart = {
            'title': data.get('title'),
            'xAxis': [i.get("name") for i in data.get('data')],
            'series': [i.get("value") for i in data.get('data')]
        }
        return echart

    @property
    def echarts3_1(self):
        data = self.echarts3_1_data
        echart = {
            'title': data.get('title'),
            'xAxis': [i.get("name") for i in data.get('data')],
            'data': data.get('data'),
        }
        return echart

    @property
    def echarts3_2(self):
        data = self.echarts3_2_data
        echart = {
            'title': data.get('title'),
            'xAxis': [i.get("name") for i in data.get('data')],
            'data': data.get('data'),
        }
        return echart

    @property
    def echarts3_3(self):
        data = self.echarts3_3_data
        echart = {
            'title': data.get('title'),
            'xAxis': [i.get("name") for i in data.get('data')],
            'data': data.get('data'),
        }
        return echart

    @property
    def echart4(self):
        data = self.echart4_data
        echart = {
            'title': data.get('title'),
            'names': [i.get("name") for i in data.get('data')],
            'xAxis': data.get('xAxis'),
            'data': data.get('data'),
        }
        return echart

    @property
    def echart5(self):
        data = self.echart5_data
        echart = {
            'title': data.get('title'),
            'xAxis': [i.get("name") for i in data.get('data')],
            'series': [i.get("value") for i in data.get('data')],
            'data': data.get('data'),
        }
        return echart

    @property
    def echart6(self):
        data = self.echart6_data
        echart = {
            'title': data.get('title'),
            'xAxis': [i.get("name") for i in data.get('data')],
            'data': data.get('data'),
        }
        return echart

    @property
    def map_1(self):
        data = self.map_1_data
        echart = {
            'symbolSize': data.get('symbolSize'),
            'data': data.get('data'),
        }
        return echart


class SourceData(SourceDataDemo):

    def __init__(self):
        """
        按照 SourceDataDemo 的格式覆盖数据即可
        """
        super().__init__()
        self.title = '中铁四局年度业绩大数据分析'

现在数据就准备好了。

三.运行程序

我们点击一下app.py，开始运行程序！
出现下面的弹框。

现在我们应该复制http://127.0.0.1:5000/，并且在网页上面打开。
你会看到这样！

这是不是你想要的效果呢？可以根据你自己的喜好进行相应的更改！

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总结

今天我们一起看了一下python的大数据大屏是怎么做的，创作不易，也希望大家多多支持，谢谢！