Python使用Plotly繪圖工具，繪制水平條形圖

水平條形圖與繪制柱狀圖類似，大家可以先看看我之前寫的博客，如何繪制柱狀圖

水平條形圖需要在Bar函數中設置orientation= 'h'

其他的參數與柱狀圖相同。也可以通過設置barmode = 'stack'，

繪制層疊水平條形圖和瀑布式水平條形圖

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=['資產1', '資產2', '資產3'],
            orientation = 'h'
)]
layout = go.Layout(
            title = '凈資產收益率對比'
    )
figure = go.Figure(data = data, layout = layout)
pyplt(figure, filename='tmp/1.html')

 

 運行上述代碼，得到如上圖所示的圖例，可以看到其畫法跟柱狀圖一樣，只是變成水平方向。

如何畫水平的層疊條形圖，只需要我們將參數，barmode = 'stack'，即可畫出響應的水平圖

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 = '期貨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 = '期貨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 = '期貨3',
    orientation = 'h',
    marker = dict(
        color = '#1C86EE',
        line = dict(
            color = '#104E8B',
            width = 3)
    )
)

data = [trace1, trace2,trace3]
layout = go.Layout(
    title = '稀有金屬期貨持倉量對比圖',
    barmode='stack'
)

fig = go.Figure(data=data, layout=layout)
pyplt(fig, filename='tmp/2.html')

運行上述代碼，可以得到如上圖所示的層疊水平條形圖。

 水平條形圖和柱狀圖的畫法基本上相同。剩下的就不細講了。