技术菜鸟如何做出好看的奥运会奖牌榜

from pyecharts import options as opts
from pyecharts.charts import Map
df_1 = df_total.groupby(['country']).count().reset_index()
c = (
    Map()
    .add("", [list(z) for z in zip(df_1.country, df_1.年份)], "world",is_map_symbol_show=False)
    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
    .set_global_opts(
        title_opts=opts.TitleOpts(title="数据STUDIO"),
        visualmap_opts=opts.VisualMapOpts(max_=4,is_show=False),
    )
#     .render("map_world.html")
)
c.render_notebook()

df_total_country_num = df_total_country.iloc[:30,].iloc[::-1,:]
fig = go.Figure()
fig.add_trace(go.Bar(
    x=df_total_country_num['金'],
    y=df_total_country_num['国家'],
    name='金牌',
    orientation='h',
    marker=dict(
        color='rgba(242,192,86, 0.6)',
        line=dict(color='rgba(242,192,86, 1.0)', width=3)),
    textposition='inside',
    text=df_total_country_num['金'].values,
    textangle = 90))
fig.add_trace(go.Bar(银牌))
fig.add_trace(go.Bar(铜牌))

fig.update_layout(barmode='stack', height=1000,
    width=1000,
    title='历届奖牌榜TOP30',
    template='ggplot2',
    font=dict( size=12, color="Black" ),
    plot_bgcolor="#fafafa",
    legend=dict(yanchor="top",
    y=1.1, xanchor="left", x=0.9))
fig.show()

fig = go.Figure()
fig.add_trace(go.Bar(
    x=df_total_year['地点'],
    y=df_total_year['金牌'],
    name='金牌',
    marker_color='gold',
    textposition='inside',
    text=df_total_year['金牌'].values,
    textangle = 90
))
fig.add_trace(go.Bar('银牌'))
fig.add_trace(go.Bar('铜牌'))
fig.add_trace(go.Scatter(
    x=df_total_year['地点'],
    y=df_total_year['参赛选手'],
    name='参赛选手',
    mode='markers+text+lines',
    marker_color='black',
    marker_size=10,
    textposition='top center',
    line=dict(color='orange',dash='dash'),
    yaxis='y2'))
fig.update_layout(barmode='group', xaxis_tickangle=-45,
    title='中国历年奥运奖牌榜成绩',
    xaxis_title="主办国",
    yaxis_title="奖牌数",
    template='ggplot2',
    font=dict(size=12, color="Black"),
    xaxis=dict(showgrid=False),
    yaxis=dict(showgrid=False),
    plot_bgcolor="#fafafa",
    yaxis2=dict(showgrid=True,overlaying='y',side='right',title='参赛选手'),
    legend=dict(yanchor="top",
    y=1.3, xanchor="left", x=0.9))
fig.show()

import geopandas
import matplotlib.colors
import pycountry
import matplotlib.pyplot as plt

def alpha3code(column):
    CODE=[]
    for country in column:
        try:
            code=pycountry.countries.get(name=country).alpha_3
            CODE.append(code)
        except:
            CODE.append('None')
    return CODE

def draw_geo(geo_temp,col,kind,name,name2,cmap='Set3'):
    geo_temp['CODE']=alpha3code(geo_temp['English'])
    vmin = 0
    vmax = 40
    world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
    world.columns=['pop_est', 'continent', 'name', 'CODE', 'gdp_md_est', 'geometry']
    merge=pd.merge(world,geo_temp,on='CODE')

    ax = world.plot(figsize=(20,15), linewidth=0.25, edgecolor=background_color, color='lightgray')
    ax.axis('off')
    # ax.set_facecolor(background_color)
    merge.plot(column=col,figsize=(20, 15),cmap=cmap,ax=ax, legend=True,
               legend_kwds={'shrink': 0.5},vmin=vmin, vmax=vmax)

    ax.text(-175,112,f'{name}年{name2}奥运会',
            fontsize=30,fontweight='bold',color='#323232')
    ax.text(-175,102,f'{kind}牌总数',
            color='gray',fontsize=20)

    plt.show()
    plt.savefig(fname=f'{name}.png')

import imageio
def create_gif(image_list, gif_name, duration = 2):
    """
    生成Gif文件，原始图像仅仅支持png格式
    image_list : 输入图像的路径
    gif_name : 字符串，所生成的gif文件名，带.gif文件名后缀
    duration : gif图像时间间隔，这里默认2s
    """
    # 创建一个空列表，用来存源图像
    frames = [] 
    # 利用方法append把图片挨个存进列表 
    for image_name in image_list:
        frames.append(imageio.imread(image_name))
    # 保存为gif格式的图
    imageio.mimsave(gif_name, frames, 'GIF', duration = duration)
    return    
def main(name):
    image_list = ['1984.png','1988.png','1992.png','1996.png','2000.png',
                  '2004.png', '2008.png', '2012.png','2016.png']
    gif_name = f'{name}.gif'
    duration = 1.5
    create_gif(image_list, gif_name)