import plotly as py
import plotly.graph_objs as go
pyplt = py.offline.plot
data = [go.Bar(
  x=[29.41, 34.62, 30.16],
  y=['资产1', '资产2', '资产3'],
  orientation = 'h'
)]
layout = go.Layout(
  title = '净资产收益率对比'
 )
figure = go.Figure(data = data, layout = layout)
pyplt(figure, filename='tmp/1.html')

import plotly as py
import plotly.graph_objs as go
 
pyplt = py.offline.plot
trace1 = go.Bar(
 y = ['CU.SHF', 'AG.SHF', 'AU.SHF'],
 x = [21258, 30279, 8056],
 name = '期货1',
 orientation = 'h',
 marker = dict(
 color = '#104E8B',
 line = dict(
  color = '#104E8B',
  width = 3)
 )
)
trace2 = go.Bar(
 y = ['CU.SHF', 'AG.SHF', 'AU.SHF'],
 x = [19853, 9375, 4063],
 name = '期货2',
 orientation = 'h',
 marker = dict(
 color = '#1874CD',
 line = dict(
  color = '#104E8B',
  width = 3)
 )
)
trace3 = go.Bar(
 y = ['CU.SHF', 'AG.SHF', 'AU.SHF'],
 x = [4959, 13018, 8731],
 name = '期货3',
 orientation = 'h',
 marker = dict(
 color = '#1C86EE',
 line = dict(
  color = '#104E8B',
  width = 3)
 )
)
 
data = [trace1, trace2,trace3]
layout = go.Layout(
 title = '稀有金属期货持仓量对比图',
 barmode='stack'
)
 
fig = go.Figure(data=data, layout=layout)
pyplt(fig, filename='tmp/2.html')