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python使用Plotly绘图工具绘制水平条形图

yipeiwu_com6年前 (2020-03-06)Python基础

本文实例为大家分享了python绘制水平条形图的具体代码，供大家参考，具体内容如下

水平条形图与绘制柱状图类似，大家可以先看看我之前写的博客，如何绘制柱状图

水平条形图需要在Bar函数中设置orientation= 'h'

其他的参数与柱状图相同。也可以通过设置barmode = 'stack'，

绘制层叠水平条形图和瀑布式水平条形图

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')

运行上述代码，得到如上图所示的图例，可以看到其画法跟柱状图一样，只是变成水平方向。

如何画水平的层叠条形图，只需要我们将参数，barmode = 'stack'，即可画出响应的水平图

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')