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