# coding: utf-8
from pyecharts import options as opts
from pyecharts.charts import Bar, Line
from pyecharts.globals import ThemeType
import pandas as pd
film=pd.read_csv('./dataCleanFile/film_all.csv')
print(film['电影名'].to_list)
print(film['票房'].to_list)
print([i for i in film['评分']])
name_list=[i for i in film['电影名']]
score=[i for i in film['评分']]
num=[i for i in film['票房']]


def overlap_bar_line(v1, v2, v4, v5):
    bar = (
        Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK))  # 这里可以选择主题
            .add_xaxis(v1)
            .add_yaxis("票房", v2)
            .extend_axis(
            yaxis=opts.AxisOpts(
                axislabel_opts=opts.LabelOpts(formatter="{value}分"), interval=5
            )
        )
            .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
            .set_global_opts(
            title_opts=opts.TitleOpts(title="电影票房评分关系图"),
            yaxis_opts=opts.AxisOpts(
                axislabel_opts=opts.LabelOpts(formatter="{value}万票")
            ),
            xaxis_opts=opts.AxisOpts(name="电影名", axislabel_opts=opts.LabelOpts(rotate=-90, interval=0, font_size=10))
        )
    )
    line = Line()
    line.add_xaxis(v4).add_yaxis("评分", v5, yaxis_index=1, )
    bar.overlap(line)
    bar.render('./visualizationFile/bar_line_mixed_chart.html')


v1 = name_list  # x轴坐标
v2 = num  # 票房
v4 = [i for i in range(0, 1000000)]  # y轴
v5 = score
# y对应的数据

overlap_bar_line(v1, v2, v4, v5)