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show.py

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+from pyecharts.charts import Bar, Page
+from pyecharts import options as opts
+import pandas as pd
+from pyecharts.components import Table
+
+df = pd.read_csv('export.csv')
+
+df_sorted = df.sort_values(by='rating', ascending=False)#评分降序
+
+#转为列表，获取电影名称、评分、链接和其他信息
+movies = df_sorted['title'].tolist()
+ratings = df_sorted['rating'].tolist()
+links = df_sorted['link'].tolist()
+other_info = df_sorted[['type', 'country', 'year', 'director', 'time', 'actor']].values.tolist()
+
+#构建 tooltip 格式，光标位置显示信息
+tooltip_formatter = '''
+        {movie}<br>
+        评分: {rating}<br>
+'''.format(
+    movie='{b}',
+    rating='{c}',
+)
+
+#创建柱状图对象
+bar = (
+    Bar()
+    .add_xaxis(movies)
+    .add_yaxis("评分", ratings, label_opts=opts.LabelOpts(is_show=False))
+    .set_global_opts(
+        title_opts=opts.TitleOpts(title="电影评分排行榜"),
+        xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-45)),
+        tooltip_opts=opts.TooltipOpts(formatter=tooltip_formatter),
+        yaxis_opts=opts.AxisOpts(min_=8),
+        datazoom_opts=[opts.DataZoomOpts(type_="slider", range_start=0, range_end=100)],
+    )
+    .set_series_opts(#标记线
+        markline_opts=opts.MarkLineOpts(
+            data=[
+                opts.MarkLineItem(type_="average", name="平均值"),
+                opts.MarkLineItem(type_="max", name="最大值"),
+                opts.MarkLineItem(type_="min", name="最小值"),
+            ]
+        )
+    )
+)
+
+#创建表格数据
+table_data = []
+for i in range(len(movies)):
+    row = [movies[i], ratings[i], links[i]] + other_info[i]
+    table_data.append(row)
+
+#创建表格对象
+table = (
+    Table()
+    .add(["电影名称", "评分", "链接", "类型", "国家", "年份", "导演", "时长", "演员"], table_data)
+    .set_global_opts(
+        title_opts=opts.ComponentTitleOpts(title="电影信息表格"),
+    
+    )
+)
+
+#生成HTML文件
+page = Page()
+page.add(bar,table)
+page.render("Movie.html")