#导入库
from pyecharts.faker import Faker
from pyecharts import options as opts
from pyecharts.charts import *
import csv
    # 数据处理
    # ...
def bar_markpoint_type() -> Bar:
    with open(r"end\排名\test.csv", 'r', encoding='utf-8') as f:
        reader = csv.reader(f)
        title=next(reader)
        bookname = [row[1] for row in reader]
        f.seek(0)
        reader=csv.reader(f)
        next(reader)
        pur=[row[2] for row in reader]
    c = (
        Bar()
        .add_xaxis(bookname)
        .add_yaxis('',pur)
        .set_global_opts(title_opts=opts.TitleOpts(title="文章质量统计图")
                         ,yaxis_opts=opts.AxisOpts(name=f"{title[2]}")
                         ,xaxis_opts=opts.AxisOpts(name=f"{title[1]}")
                         ,tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross")       #鼠标悬停提示
                         ,datazoom_opts=opts.DataZoomOpts(),)   #缩放
        .reversal_axis().set_series_opts(label_opts=opts.LabelOpts(position="right"))#转 初始 山方向
        .set_series_opts(
            label_opts=opts.LabelOpts(is_show=False), # 是否显示标签
            markpoint_opts=opts.MarkPointOpts(
                data=[
                    opts.MarkPointItem(type_="max", name="最大值"),
                    opts.MarkPointItem(type_="min", name="最小值"),
                    opts.MarkPointItem(type_="average", name="平均值"),
                ]
            ),
        )
    )
    return c