怎么用Python绘制帕累托图

本篇内容主要讲解"怎么用Python绘制帕累托图"，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习"怎么用Python绘制帕累托图"吧!

# 随机颜色, from fakerdef rand_color() -> str:    return random.choice(        [            "#c23531",            "#2f4554",            "#61a0a8",            "#d48265",            "#749f83",            "#ca8622",            "#bda29a",            "#6e7074",            "#546570",            "#c4ccd3",            "#f05b72",            "#444693",            "#726930",            "#b2d235",            "#6d8346",            "#ac6767",            "#1d953f",            "#6950a1",        ]    )df_origin = pd.DataFrame({'categories':["蔬菜","水果","猪肉","电商","综合","水产"],'sales': [random.randint(10, 100) for _ in range(6)]})print(df_origin)# 按销量降序排列df_sorted = df_origin.sort_values(by='sales' , ascending=False)print(df_sorted)# 折线图x轴x_line_categories = [*range(7)] # 折线图y轴--向下累积频率cum_percent = df_sorted['sales'].cumsum() / df_sorted['sales'].sum() * 100cum_percent = cum_percent.append(pd.Series([0])) # 添加起始频率0cum_percent = cum_percent.sort_values(ascending=True)print(df_sorted.categories.values.tolist()) print(cum_percent.values.tolist())def pareto_bar() -> Bar:     line = (        Line()        .add_xaxis(x_line_categories)                .add_yaxis("累计百分比",                   cum_percent.values.tolist(),                       xaxis_index=1,                   yaxis_index=1,             # 使用次y坐标轴，即bar中的extend_axis                   label_opts=opts.LabelOpts(is_show=False),                   is_smooth=True,                  )    )        bar = (        Bar()        .add_xaxis(df_sorted.categories.values.tolist())        .add_yaxis('销售额', df_sorted.sales.values.tolist(), category_gap=0)        # .add_yaxis('总额百分比', cum_percent.values.tolist())           .extend_axis(xaxis=opts.AxisOpts(is_show=False, position='top'))         .extend_axis(yaxis=opts.AxisOpts(axistick_opts=opts.AxisTickOpts(is_inside=True),  # 刻度尺朝内            axislabel_opts=opts.LabelOpts(formatter='{value}%'), position='right') )        .set_series_opts(label_opts=opts.LabelOpts(is_show=True, font_size=14))        .set_global_opts(title_opts=opts.TitleOpts(title='帕累托图示例-销售额\n Make By tengyulong', subtitle=''),                             xaxis_opts=opts.AxisOpts(name='商品类型', type_='category'),                             yaxis_opts=opts.AxisOpts(                                axislabel_opts=opts.LabelOpts(formatter="{value} 件")                             )                         )    )    bar.overlap(line)    return barpareto_bar().render('帕累托图.html')# 或者pareto_bar().render_notebook()

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