8.3pyecharts常用图表1 柱状图V1版本开始支持链式调用，如果不习惯链式调用的开发者依旧可以单独调用方法，上面代码为：使用多个addyaxis可以绘制并列柱状图。bar = Bar()bar.addxaxis(["衬衫","毛衣"，"领带","裤子"，"风衣"，"高跟鞋"，"袜子"I)bar.add_yaxis("商家A",[114,55,27,101,125,27,105])bar.set_global_opts(title_opts=opts.TitleOpts(title="某商场销售情况"))bar.render_notebook()
1 柱状图 8.3 pyecharts常用图表 bar = Bar() bar.add_xaxis(["衬衫","毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"]) bar.add_yaxis("商家A", [114, 55, 27, 101, 125, 27, 105]) bar.set_global_opts(title_opts = opts.TitleOpts(title = "某商场销售情况")) bar.render_notebook() V1版本开始支持链式调用，如果不习惯链式调用的开发者依旧可以 单独调用方法，上面代码为： 使用多个add_yaxis可以绘制并列柱状图
8.3 pyecharts常用图表1 柱状图货品特需情况例8-2：并列柱状图绘制。frompyecharts.chartsimportBarfrompyecharts importoptionsasopts%matplotlib inlinebar =BarObar.add_xaxis["衬衫""毛衣"，"领带"，"裤子"，"风衣""高跟鞋"，"袜子"D)bar.add yaxis("商家A",[114,55,27,101,125,27,105])bar.add_yaxis("商家B",[57,134,137,129,145,60,49]bar.set_global _opts(title opts =opts.TitleOpts(title="货品销售情况",subtitle="A和B公司")bar.render_notebook()
1 柱状图 8.3 pyecharts常用图表 例8-2：并列柱状图绘制。 from pyecharts.chartsimport Bar from pyecharts import options as opts %matplotlib inline bar = Bar() bar.add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"]) bar.add_yaxis("商家A", [114, 55, 27, 101, 125, 27, 105]) bar.add_yaxis("商家B", [57, 134, 137, 129, 145, 60, 49]) bar.set_global_opts(title_opts = opts.TitleOpts(title = "货品销售情况",subtitle = "A和B公司")) bar.render_notebook()