使用python的pyecharts库绘制数据可视化大屏

from pyecharts import options as opts
from pyecharts.charts import Bar,Boxplot,Gauge,Map,Pie,HeatMap,Page
from pyecharts.faker import Faker

def bar(): #柱状图
    c = (
        Bar()
            .add_xaxis(Faker.choose())
            .add_yaxis("商家A", Faker.values(), stack="stack1")
            .add_yaxis("商家B", Faker.values(), stack="stack1")
            .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
            .set_global_opts(title_opts=opts.TitleOpts(title="Bar"))
            #.render("bar_stack0.html")
    )
    return c

def box():#箱状图
    v1 = [
        [850, 740, 900, 1070, 930, 850, 950, 980, 980, 880, 1000, 980],
        [960, 940, 960, 940, 880, 800, 850, 880, 900, 840, 830, 790],
    ]
    v2 = [
        [890, 810, 810, 820, 800, 770, 760, 740, 750, 760, 910, 920],
        [890, 840, 780, 810, 760, 810, 790, 810, 820, 850, 870, 870],
    ]
    c = Boxplot()
    c.add_xaxis(["expr1", "expr2"])
    c.add_yaxis("A", c.prepare_data(v1))
    c.add_yaxis("B", c.prepare_data(v2))
    c.set_global_opts(title_opts=opts.TitleOpts(title="BoxPlot-基本示例"))
    #c.render("boxplot_base.html")
    return c

def gau():#仪表图
    c = (
        Gauge(init_opts=opts.InitOpts(width="1600px", height="800px"))
            .add(series_name="业务指标", data_pair=[["完成率", 55.5]])
            .set_global_opts(
            legend_opts=opts.LegendOpts(is_show=False),
            tooltip_opts=opts.TooltipOpts(is_show=True, formatter="{a} <br/>{b} : {c}%"),
        )
            #.render("gauge.html")
    )
    return c

def maps():#地图
    c = (
        Map()
            .add("商家A", [list(z) for z in zip(Faker.provinces, Faker.values())], "china")
            .set_global_opts(title_opts=opts.TitleOpts(title="Map-基本示例"))
            #.render("map_base.html")
    )
    return c

def pie():#饼图
    c = (
        Pie()
            .add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
            .set_colors(["blue", "green", "yellow", "red", "pink", "orange", "purple"])
            .set_global_opts(title_opts=opts.TitleOpts(title=""))
            .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
            #.render("pie_set_color.html")
    )
    return c

def heat():#热力图
    value = [[i, j, random.randint(0, 50)] for i in range(24) for j in range(7)]
    c = (
        HeatMap()
            .add_xaxis(Faker.clock)
            .add_yaxis("series0", Faker.week, value)
            .set_global_opts(
            title_opts=opts.TitleOpts(title="HeatMap-基本示例"),
            visualmap_opts=opts.VisualMapOpts(),
        )
            #.render("heatmap_base.html")
    )
    return c

def tab1(name,color): #作为标题吧
    c = (Pie().
        set_global_opts(
        title_opts=opts.TitleOpts(title=name,pos_left='center',pos_top='center',
                                title_textstyle_opts=opts.TextStyleOpts(color=color,font_size=35))))
    return c
page = Page()
page.add(tab1("pyecharts可视化大屏","#FF00FF"),
         gau(),
         heat(),
         maps(),
         bar(),
         box(),
         pie())
page.render("mytest.html")

from bs4 import BeautifulSoup
with open("mytest.html", "r+", encoding='utf-8') as html:
    html_bf = BeautifulSoup(html, 'lxml')
    divs = html_bf.select('.chart-container')
    divs[0]["style"] = "width:40%;height:10%;position:absolute;top:0;left:30%;"
    divs[1]["style"] = "width:40%;height:40%;position:absolute;top:10%;left:30%;"
    divs[2]["style"] = "width:40%;height:50%;position:absolute;top:50%;left:30%;"
    divs[3]["style"] = "width:30%;height:50%;position:absolute;top:0;left:0;"
    divs[4][ "style"] = "width:30%;height:50%;position:absolute;top:50%;left:0;"
    divs[5]["style"] = "width:30%;height:50%;position:absolute;top:0;left:70%;"
    divs[6]['style'] = "width:30%;height:50%;position:absolute;top:50%;left:70%;"
    body = html_bf.find("body")
    body["style"] = "background-color:#FFFFFF;"  # 背景颜色
    html_new = str(html_bf)
    html.seek(0, 0)
    html.truncate()
    html.write(html_new)
    html.close()