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60 lines
2.2 KiB
60 lines
2.2 KiB
7 months ago
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import pandas as pd
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from pyecharts.charts import Bar
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from pyecharts import options as opts
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from pyecharts.globals import ThemeType
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df = pd.read_csv('./JD.csv', encoding='gbk')
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# print(f"==>> df: {df}")
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# 价格去掉无用字符，然后把价格转换成浮点类型数据
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df['价格'] = df['价格'].str.replace('￥', '').str.replace(',', '').astype(float)
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df['评论数'] = df['评论数'].str.replace('+', '').str.replace('万', '0000').astype(float)
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# print(f"==>> df: {df.head(5)}")
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describe = df.describe()
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print(f"==>> describe: {describe}")
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# 价格区间，和标签
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bins = [0, 100, 300, 500, 800, 1000, 1300]
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labels = ['100以下', '100-300', '300-500', '500-800', '800-1000', '1000以上']
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# 把价格区间分为6个区间
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df['价格区间'] = pd.cut(df['价格'], bins=bins, labels=labels, include_lowest=True)
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# 统计区间内的价格
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df_price_count = df['价格区间'].value_counts(sort=False)
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print(f"==>> df_price_count: {df_price_count}")
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# 画直方图
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hist = (
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Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
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.add_xaxis(df_price_count.index.tolist())
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.add_yaxis('价格区间', df_price_count.values.tolist())
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.set_global_opts(title_opts=opts.TitleOpts(title='价格区间分布直方图'))
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)
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hist.render('./价格区间分布直方图.html')
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# 把评论数去重，排序，然后取前十
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df_sorted = df.sort_values(by='评论数', ascending=False).drop_duplicates(subset='评论数').head(10)
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# print(f"==>> df_sorted: {df_sorted}")
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# 画条形图
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bar_reverse = (
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Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, width='1200px', height='800px'))
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.add_xaxis([i for i in reversed(df_sorted['商品'].tolist())])
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# .add_xaxis([i for i in reversed(df_sorted['店铺'].tolist())])
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.add_yaxis('评论数', [i for i in reversed(df_sorted['评论数'].values.tolist())])
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.reversal_axis()
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.set_series_opts(label_opts=opts.LabelOpts(position='right'))
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.set_global_opts(
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yaxis_opts=opts.AxisOpts(
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axislabel_opts=opts.LabelOpts(font_size=10, rotate=60) # 调整字体大小并倾斜标签
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)
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)
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)
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bar_reverse.render('./评论数前十条直方图.html')
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