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48 lines
1.6 KiB
48 lines
1.6 KiB
6 months ago
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import pandas as pd
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import matplotlib.pyplot as plt
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from pyecharts.charts import Bar,Scatter,Pie
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from pyecharts import options as opts
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from pyecharts.charts import Scatter3D
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from pyecharts.charts import WordCloud
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from pyecharts.globals import SymbolType
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from pyecharts.charts import Timeline
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df =pd.read_csv('flaskProject/data/export.csv')
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def tubiao_country_bar():
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country_counts = df['country'].value_counts().head(10)
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bar=(
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Bar()
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.add_xaxis(country_counts.index.tolist())
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.add_yaxis("电影数量",country_counts.tolist())
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.set_global_opts(title_opts=opts.TitleOpts("按国家分组统计电影数量 Top 10"))
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)
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bar.render('country_movie_count.html')
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def tubiao_top10_reviews():
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top10_reviews=df.nlargest(10,'num_reviews')
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bar=(
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Bar()
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.add_xaxis(top10_reviews['title'].tolist())
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.add_yaxis("评价人数",top10_reviews['num_reviews'].tolist())
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.set_global_opts(title_opts=opts.TitleOpts(title="评价人数 Top 10"))
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)
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bar.render('top10reviews.html')
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scatter=(
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Scatter()
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.add_xaxis(df['ranking'].tolist())
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.add_yaxis('电影评分',df['rating'].tolist())
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.set_global_opts(
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title_opts=opts.TitleOpts(title="高分电影评分-排名散点分布图"),
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xaxis_opts=opts.AxisOpts(type_='value',name="电影排名"),
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yaxis_opts=opts.AxisOpts(type_='value', name="电影评分")
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)
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)
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scatter.render("rating_ranting_scatter.html")
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tubiao_country_bar()
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tubiao_top10_reviews()
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