【数据分析与可视化】使用pyecharts对App下载量数据进行可视化分析（附源码）

我会带着你远行 2023-09-30 18:48 69阅读 0赞

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下面针对一些App的下载量数据，使用pyecharts进行可视化分析，各类App某段时间的下载次数如下

> App 下载次数
> 
> 相机 5045137
> 
> 短视频 4608092
> 
> 视频 35723063
> 
> 浏览器 23775808
> 
> 商城 15367847
> 
> 购票 10424808
> 
> 小说 76975429
> 
> 聊天 7393185
> 
> 小工具 64636392
> 
> 理财记账 50491990

1：绘制数据的柱状图

![d3a2723a981d4653862fa7dd907aee43.png][]

代码如下

from pyecharts.charts import Bar
    # x轴数据
    items = ["相机", "短视频", "视频", "浏览器", "商城", "购票", "小说", "聊天", "小工具", "理财记账"] 
    # y轴数据
    sum_app = [[5045137.0], [4608092.0], [35723063.0], [23775808.0], [15367847.0], [10424808.0], [76975429.0], [7393185.0], [64636392.0], [50491990.0]]
    # 生成实例化对象
    bar = Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
    bar.add_xaxis([ "总数"])
    for item in items:
        bar.add_yaxis(item,sum_app[items.index(item)])
    bar.set_global_opts(title_opts=opts.TitleOpts(title="APP类型", subtitle="APP类型"))                 
    # bar.render("APP类型.html")
    bar.render_notebook()

2：绘制各类App下载量的饼图

![db07b5b06f094fd69c1cc6019a71d93f.png][]

代码如下

from pyecharts.charts import Pie
    items = ["相机", "短视频", "视频", "浏览器", "商城", "购票", "小说", "聊天", "小工具", "理财记账"] 
    # y轴数据
    sum_app = [[5045137.0], [4608092.0], [35723063.0], [23775808.0], [15367847.0], [10424808.0], [76975429.0], [7393185.0], [64636392.0], [50491990.0]]
    # 生成实例化对象
    pie = Pie(init_opts=opts.InitOpts(theme=ThemeType.INFOGRAPHIC))
    pie.add( "",data_pair = 
    [(item,sum_app[items.index(item)]) for item in items],    
             radius=["30%", "75%"], 
    center=["50%", "50%"],       
    rosetype="radius",
    label_opts=opts.LabelOpts(is_show=False))
    pie.set_global_opts(title_opts = opts.TitleOpts(title="APP比例"))
    pie.set_series_opts(label_opts = 
    opts.LabelOpts(formatter="{b}: {c}"))
    pie.render_notebook()

3：绘制各类App下载量的涟漪特效散点图

![e6d4f56a024542ad945f8456b2ea18d5.png][]

代码如下

from pyecharts import options as opts
    from pyecharts.charts import EffectScatter
    from pyecharts.globals import SymbolType
    c = (
            EffectScatter()
           .add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"])
         .add_yaxis('商家A', [114, 55, 27, 101, 125, 27, 105])
    #        .add_yaxis('商家B',[57, 134, 137, 129, 145, 60, 49])
            .set_global_opts(title_opts=opts.TitleOpts(title="EffectScatter-基本示例"))
        )
    c.render_notebook()

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[d3a2723a981d4653862fa7dd907aee43.png]: https://img-blog.csdnimg.cn/d3a2723a981d4653862fa7dd907aee43.png
[db07b5b06f094fd69c1cc6019a71d93f.png]: https://img-blog.csdnimg.cn/db07b5b06f094fd69c1cc6019a71d93f.png
[e6d4f56a024542ad945f8456b2ea18d5.png]: https://img-blog.csdnimg.cn/e6d4f56a024542ad945f8456b2ea18d5.png