Crawler + Visualisierung |. Python Zhihu Hot List/Weibo Hot Search Sequenzdiagramm (Teil 2)

y1 = []
y2 = []
y3 = []
for i in range(9):
    y_trb_sorce = []
    y_ast_sorce = []
    y_pts_sorce = []
    for j in range(5):
        y_trb_sorce.append(allinfo[j][0][i])
        y_ast_sorce.append(allinfo[j][1][i])
        y_pts_sorce.append(allinfo[j][2][i])
    y1.append(y_pts_sorce)
    y2.append(y_ast_sorce)
    y3.append(y_trb_sorce)

years = ['11-12赛季', '12-13赛季', '13-14赛季', '14-15赛季', '15-16赛季', '16-17赛季', '17-18赛季', '18-19赛季', '19-20赛季']
tl = Timeline()
for i in range(9):
    bar = (
        Bar()
            .add_xaxis(names)
            .add_yaxis('得分', y1[i])
            .add_yaxis('助攻', y2[i])
            .add_yaxis('篮板', y3[i])
            .set_global_opts(title_opts=opts.TitleOpts("{}三项数据".format(years[i])))
    )
    tl.add(bar, "{}".format(years[i]))
tl.render_notebook()

weibo_data = pd.read_csv('weibo_hot_datas.csv')
weibo_data.head()

tl = Timeline()
count = 50
time_data_counts = int(weibo_data.shape[0]/count)
times = weibo_data['时间'].values.tolist()
for i in range(time_data_counts):
    bar = (
        Bar()
            .add_xaxis(list(weibo_data['标题'])[i*count:i*count+15][::-1])
            .add_yaxis('微博热搜', list(weibo_data['热度'])[i*count:i*count+15][::-1])
            .reversal_axis()
            .set_global_opts(title_opts=opts.TitleOpts('{}'.format(times[i*count])))
    )
    tl.add(bar, "{}".format(times[i*count]))
tl.render_notebook()

# 将图形整体右移
grid = (
    Grid()
    .add(bar, grid_opts=opts.GridOpts(pos_left='30%', pos_right='10%')) 
)
tl.add(bar, "{}".format(times[i*count]))
tl.add(grid, '')