Python使用Plotly绘图工具，绘制水平条形图

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')

运行上述代码，可以得到如上图所示的层叠水平条形图。

 水平条形图和柱状图的画法基本上相同。剩下的就不细讲了。