python实现新冠疫情各国人数动态图

浅浅的花香味﹌ 2022-11-05 10:55 278阅读 0赞

# python实现新冠疫情各国人数动态图 #

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### 文章目录 ###

*  python实现新冠疫情各国人数动态图
 *  前言效果
 *  一、代码
 *   *  1.建立好我们的数据
 *  总结

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# 前言效果 #

今天用python实现新冠疫情各国人数动态图

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![在这里插入图片描述][20210306045144207.gif_pic_center]

# 一、代码 #

## 1.建立好我们的数据 ##

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1hSVE9OWQ_size_16_color_FFFFFF_t_70]

from pyecharts import options as opts
    from pyecharts.charts import Bar, Timeline
    from pyecharts.commons.utils import JsCode
    from pyecharts.faker import Faker
    from pyecharts.globals import ThemeType
    import numpy as np
    import pandas as pd
    
    
    def get_value(df1,k):
        data=df1.loc[k].to_list()
        k=k+1
        return data,k
    
    df1=df1
    
    x = df1.columns.to_list()
    tl = Timeline()
    tl.add_schema(is_auto_play=False,
    play_interval=500,
    is_loop_play=False)
    k=0
    for i in date:
    
        X=df1.columns.to_list()
        Y=get_value(df1,k)[0]
        s={ "国家" :X,
           "数量":Y}
        tem=pd.DataFrame(s)
        tem=tem.sort_values(by="数量",ascending=True)
        X=tem['国家'].to_list()
        Y=tem['数量'].to_list()
        k=get_value(df1,k)[1]
        
        bar = (
            Bar(init_opts=opts.InitOpts(theme=ThemeType.WALDEN))
            .add_xaxis(x)
            .add_yaxis("确诊人数", Y)
            .reversal_axis()
            .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
            .set_global_opts(
                legend_opts=opts.LegendOpts(is_show=False),
                title_opts=opts.TitleOpts("".format(i)),
                graphic_opts=[
                    opts.GraphicGroup(
                        graphic_item=opts.GraphicItem(
                            rotation=JsCode("Math.PI / 4"),
                            bounding="raw",
                            right=100,
                            bottom=110,
                            z=100,
                        ),
                        children=[
                            opts.GraphicRect(
                                graphic_item=opts.GraphicItem(
                                    left="center", top="center", z=100
                                ),
                                graphic_shape_opts=opts.GraphicShapeOpts(
                                    width=400, height=50
                                ),
                                graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
                                    fill="rgba(0,0,0,0.3)"
                                ),
                            ),
                            opts.GraphicText(
                                graphic_item=opts.GraphicItem(
                                    left="center", top="center", z=100
                                ),
                                graphic_textstyle_opts=opts.GraphicTextStyleOpts(
                                    text="重点国家{}日数据".format(i),
                                    font="bold 26px Microsoft YaHei",
                                    graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
                                        fill="#fff"
                                    ),
                                ),
                            ),
                        ],
                    )
                ],
            )
        )
        tl.add(bar, "{}年".format(i))
    
    tl.render("timeline_bar_with_graphic.html")

> 根据官网的代码进行相应的修改操作

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1hSVE9OWQ_size_16_color_FFFFFF_t_70 1]

> **各方面数据写了很久，不奢求可以帮到大家，只希望与大家共同进步！感谢大家的支持**

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# 总结 #

这是效果图  
![在这里插入图片描述][20210306044658114.gif]

[20210306045144207.gif_pic_center]: /images/20221023/0c3d3a5a44594eb4b2a2fbcae2e567f0.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1hSVE9OWQ_size_16_color_FFFFFF_t_70]: /images/20221023/a97613bb7c294f46bd94070d43153ca7.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1hSVE9OWQ_size_16_color_FFFFFF_t_70 1]: /images/20221023/b0a2c6896b8148cdaae361580322cd6b.png
[20210306044658114.gif]: /images/20221023/11b77c7b75464f3ba71cb70cb8a5e97a.png