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 faker
def 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() * 100
cum_percent = cum_percent.append(pd.Series([0])) # 添加起始频率0
cum_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 bar


pareto_bar().render('帕累托图.html')
# 或者
pareto_bar().render_notebook()

渲染效果：

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