def get_html_content():
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.render()
bar.add('软件工程师',
attr,
a3_list,
mark_point=['max'],
tooltip_trigger='axis',
tooltip_axispointer_type='cross',
bar_category_gap=45) #追加最大值标记点、最小值标记点
bar.add('管理',
attr,
a4_list,
mark_point=['max'],
tooltip_trigger='axis',
tooltip_axispointer_type='cross',
bar_category_gap=45,
is_label_show=True) #追加最大值标记点、最小值标记点
bar.render(r"D:\BI大屏\统计学招聘\前五职位薪资对比柱状图.html")
# 用pyechart 1.5.11版的命令
#==============================================================================
import pyecharts.charts as pyec
import pyecharts.options as opts
bar = pyec.Bar()
# 添加标题
bar.set_global_opts(title_opts=opts.TitleOpts(title='2018-2019薪资比较图'))
bar.add_xaxis(attr)
bar.add_yaxis('2019', b)
bar.add_yaxis('2018', c)
bar.render(r"D:\BI大屏\图\薪资对比柱状图.html")
all_info.append(info)
print(all_info)
### 根据电影名称和关注量绘制柱状图
bar = Bar(init_opts=opts.InitOpts(ThemeType.DARK))
# 以关注量作为x轴
attention_nums = [info['attentionnum'] for info in all_info]
# 以电影名作为y轴
names = [info['name'] for info in all_info]
# 添加x轴
bar.add_xaxis(attention_nums)
# 添加y轴
bar.add_yaxis('电影名称', names)
page = Page()
# 反转坐标
bar.reversal_axis()
bar.set_series_opts(table_opts=opts.TitleOpts(
title='电影关注排行榜',
position='right', #表示横向
))
bar.set_global_opts(
# 设置柱状的标题
title_opts=opts.TitleOpts(title='电影关注排行榜', ))
bar.render()
