from pyecharts import Bar
bar = Bar("我的第一个图表","这里是副标题")
bar.add("服装",["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"],[5, 20, 36, 10, 75, 90])
bar   #不需要bar.render(),直接bar就可以输出图片

from pyecharts.charts import Bar

bar = Bar()
bar.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
bar.add_yaxis("商家A", [5, 20, 36, 10, 75, 90])

bar.render_notebook()

from pyecharts import options as opts
from pyecharts.charts import WordCloud 
name = [
 '嗨', '小子', '风控', '实战', '金融' ,
 '机器学习', '深度学习', '神经网络学习', '反欺诈规则', '强制性规则', '算法',
 '西瓜书', '数据分析', '反欺诈', '数据挖掘', '评分卡',
 'Xgboost', 'pySpark','python', 'pyEcharts']
value = [
 10000, 6181, 4386, 4055, 2467, 2244, 1898, 1484, 1112,
 965, 847, 582, 555, 550, 462, 366, 360, 282, 273, 265]

words=[(i,j) for i ,j in zip(name,value)]
worldcloud=(
   WordCloud()
   .add("", words, word_size_range=[20, 100])
   .set_global_opts(title_opts=opts.TitleOpts(title="词云实例"))
   )

worldcloud.render('dd.html')
worldcloud.render_notebook()
worldcloud.render_notebook() # 这句是用来在jupyter 中显示