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怎么用Python绘制柱形图

发表于:2025-02-04 作者:千家信息网编辑
千家信息网最后更新 2025年02月04日,这篇文章主要讲解了"怎么用Python绘制柱形图",文中的讲解内容简单清晰,易于学习与理解,下面请大家跟着小编的思路慢慢深入,一起来研究和学习"怎么用Python绘制柱形图"吧!bar = (
千家信息网最后更新 2025年02月04日怎么用Python绘制柱形图

这篇文章主要讲解了"怎么用Python绘制柱形图",文中的讲解内容简单清晰,易于学习与理解,下面请大家跟着小编的思路慢慢深入,一起来研究和学习"怎么用Python绘制柱形图"吧!

bar = (    Bar()    .add_xaxis(x_vals)    .add_yaxis("广州门店", [random.randint(10, 100) for _ in range(6)])    .add_yaxis("中山门店", [random.randint(10, 100) for _ in range(6)])    .add_yaxis("深圳门店", [random.randint(10, 100) for _ in range(6)])    .add_yaxis("东莞门店", [random.randint(10, 100) for _ in range(6)])    .set_series_opts(label_opts=opts.LabelOpts(is_show=True, font_size=14),                          markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(y=40, name="达标线=40")]))    .set_global_opts(title_opts=opts.TitleOpts(title='实际销售金额', subtitle="QDM"),                     xaxis_opts=opts.AxisOpts(name='商品'),                     yaxis_opts=opts.AxisOpts(name='单位:万元')))# bar.render('柱状图.html')# 或者bar.render_notebook()

渲染效果:

goods = ["蔬菜","水果","猪肉","电商","综合","水产"]bar = (    Bar()    .add_xaxis(goods)    .add_yaxis('供应商A', [random.randint(10, 100) for _ in range(6)], stack='stack1')    .add_yaxis('供应商B', [random.randint(10, 100) for _ in range(6)], stack='stack1')    .add_yaxis('供应商C', [random.randint(10, 100) for _ in range(6)], stack='stack1')    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))    .set_global_opts(title_opts=opts.TitleOpts(title="实际销售数量"),                     xaxis_opts=opts.AxisOpts(name="品类"),                            yaxis_opts=opts.AxisOpts(name="销量(单位:件)")))# bar.render('柱状堆叠图.html')# 或者bar.render_notebook()

渲染效果:

# 条形图x_vals1 = ["白鲳鱼","小生蚝","秋刀鱼","多春鱼","南鲳鱼","海三宝"]x_vals2 = ["银鱼仔","基围虾","沙甲","多宝鱼","泥猛","鲍鱼"]x_vals3 = ["中鲫鱼","武昌鱼","白花鱼","海鲈鱼","眉草鱼","大乌头"]# 把模拟的随机数改为列表形式,并按升序排列y_vals = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18]bar = Bar().add_xaxis(x_vals1 + x_vals2 + x_vals3)      bar.add_yaxis("品控打折验收单品", y_vals,               markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='average'),                                                opts.MarkPointItem(type_='max'),                                                opts.MarkPointItem(type_='min')],                                                 symbol_size=80)              ) bar.set_series_opts(label_opts=opts.LabelOpts(is_show=True, position="right"))# 条目较多条形图比较好看点bar.set_global_opts(title_opts=opts.TitleOpts(title="打折单品个数", subtitle="邮件"))bar.reversal_axis() #翻转XY轴,将柱状图转换为条形图# bar.render('条形图.html')# 或者bar.render_notebook()

渲染效果:

# 条形图# 把3个列表合并为一个列表----> 需要用到Excel中的  Ctrl+H , Windows+10 , ",">

渲染效果:

# 条形图(纯净版)# 把3个列表合并为一个列表----> 需要用到Excel中的  Ctrl+H , Windows+10 , "," 快捷键x_vals1 = ["白鲳鱼","小生蚝","秋刀鱼","多春鱼","南鲳鱼","海三宝","银鱼仔","基围虾","沙甲","多宝鱼","泥猛","鲍鱼",          "中鲫鱼","武昌鱼","白花鱼","海鲈鱼","眉草鱼","大乌头"]# 把模拟的随机数改为列表形式,并按升序排列y_vals = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18]bar = Bar().add_xaxis(x_vals1)bar.add_yaxis("品控打折验收单品", y_vals,               )               bar.set_series_opts(label_opts=opts.LabelOpts(is_show=True, position="right"))# 条目较多条形图比较好看点bar.set_global_opts(title_opts=opts.TitleOpts(title="打折单品个数", subtitle="邮件"))bar.reversal_axis() #翻转XY轴,将柱状图转换为条形图# bar.render('条形图.html')# 或者bar.render_notebook()

渲染效果:

感谢各位的阅读,以上就是"怎么用Python绘制柱形图"的内容了,经过本文的学习后,相信大家对怎么用Python绘制柱形图这一问题有了更深刻的体会,具体使用情况还需要大家实践验证。这里是,小编将为大家推送更多相关知识点的文章,欢迎关注!

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