利用pyecharts绘制实时微博热点时间轮播图

利用pyrchart绘制实时微博热点时间轮播图

1.获取数据

import schedule
import pandas as pd
from datetime import datetime
count = 0
def get_content():
    global count
    url = 'https://s.weibo.com/top/summary?cate=realtimehot&sudaref=s.weibo.com&display=0&retcode=6102'
    time_ = datetime.now().strftime("%Y-%m-%d %H:%M")     # 获取当前时间
    df = pd.read_html(url)[0][1:11][['序号', '关键词']]   # 快速获取在html中页面中table格式的数据
    df['序号'] = df['序号'].apply(int)
    df['热度'] = df['关键词'].str.split('  ',expand=True)[1]
    df['关键词'] = df['关键词'].str.split('  ',expand=True)[0]
    df['时间'] = [time_]*len(df['关键词'])
    if count == 0:
        df.to_csv('data.csv',mode='a+',index=False)
        count += 1
    else:
        df.to_csv('data.csv',mode='a+',index=False,header=False)

schedule.every(1).minutes.do(get_content)

while True:
    schedule.run_pending()

2.绘制时间轮播图

import pandas as pd
from pyecharts import options as opts
from pyecharts.charts import Bar, Timeline, Grid
from pyecharts.globals import ThemeType

df = pd.read_csv('data.csv')

print(df)
t = Timeline()
for i in range(59):
    bar = (
        Bar()
        .add_xaxis(list(df['关键词'][i*10:i*10+10][::-1]))
        .add_yaxis('热度',list(df['热度'][i*10:i*10+10][::-1]))
        .reversal_axis()
        .set_global_opts(title_opts=opts.TitleOpts(title=f"{list(df['时间'])[i*10]}"))
        .set_series_opts(label_opts=opts.LabelOpts(position='right'))
    )
    grid = (
        Grid()
            .add(bar, grid_opts=opts.GridOpts(pos_left="24%"))
    )

    t.add(grid, "")
    t.add_schema(
        play_interval=250,  # 轮播速度
        is_timeline_show=False,  # 是否显示 timeline 组件
        is_auto_play=True  # 是否自动播放
    )
t.render('时间轮播图.html')

3.效果如下：

具体的动态图形可到资源下载哦！