pyecharts是做数据分析的好帮手，柱状图比较简单，网站例子不够多，一般柱状图就是直接传两组数据就搞掂了，如果想要显示数据为百分比，比如下图例子。
需要做两处调整。
1、Y轴内容
2、标签内容
查了文档，都是修改opts.LabelOpts 。做了个例子，供大家参考。
# encoding: utf-8
"""
@author: seakingx
@contact: hndm@qq.com
@version: 1.0
@file: doex.py
@time: 2020/3/27 0019 09:39说明 建立百分比的柱状图
"""
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeTypedef create_bar(bar_dict):# 建立百分比的柱状图bar_item = bar_dict['item']bar_head = bar_dict['head']bar_data = bar_dict['data']bar = (Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)).add_xaxis(bar_item).set_global_opts(title_opts=opts.TitleOpts(title="销售情况", subtitle="占比情况")))for i in range(len(bar_head)):bar.add_yaxis(bar_head[i], bar_data[i], label_opts=opts.LabelOpts(formatter="{c} %"))bar.set_global_opts(yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter="{value} %"), interval=10))return bardef get_data_dict():# 这里获取要显示的数据 ， 可以改成连接数据库data_a = [round(n*100,2) for n in [0.2155, 0.423, 0.351, 0.4422, 0.651, 0.722]]data_b = [round(n*100,2) for n in [0.1233, 0.231, 0.4522, 0.5612, 0.6667, 0.745]]pdt_list = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]data_dict= {'data':[data_a,data_b], 'head':['商家甲','商家乙'], 'item':pdt_list}return data_dictif __name__=="__main__":data = get_data_dict()bar = create_bar(data)bar.render()