plotly系列（4）-- 绘制三维图表

更新于
使用plotly绘制三维图表的方法和绘制二维图表类似，也不需要引入额外模块。

使用plotly绘制三维图表的方法和绘制二维图表类似，也不需要引入额外模块。

1、三维空间中的点

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import numpy as np
import plotly as py
import plotly.graph_objs as go

x1, y1, z1 = np.random.multivariate_normal(np.array([0,0,0]), np.eye(3), 200).transpose()
trace1 = go.Scatter3d(
    x=x1,
    y=y1,
    z=z1,
    mode='markers',
    marker=dict(
        color='rgb(217, 217, 217)',
        size=12,
        symbol='circle',
        opacity=0.8
    )
)

x2, y2, z2 = np.random.multivariate_normal(np.array([0,0,0]), np.eye(3), 200).transpose()
trace2 = go.Scatter3d(
    x=x2,
    y=y2,
    z=z2,
    mode='markers',
    marker=dict(
        color='rgb(127, 127, 127)',
        size=12,
        symbol='circle',
        opacity=0.8
    )
)

data = [trace1, trace2]

layout = go.Layout(
    title='三维散点',
    autosize=True,
    margin=dict(
        l=65,
        r=50,
        b=65,
        t=90
    )
)

fig = go.Figure(data=data, layout=layout)

py.offline.plot(fig, filename='test.html', auto_open=True)

2、三维空间中的线

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import numpy as np
import plotly as py
import plotly.graph_objs as go

def f(x, y):
    z = np.power(x, 2) + np.power(y, 2)
    return z
 
x = y = np.linspace(start=0, stop=10, num=1000)
z = f(x, y)

trace = go.Scatter3d(
    x=x,
    y=y,
    z=z,
    mode='lines'
)

data = [trace]

layout = go.Layout(
    title='三维线',
    autosize=True,
    margin=dict(
        l=65,
        r=50,
        b=65,
        t=90
    )
)

fig = go.Figure(data=data, layout=layout)

py.offline.plot(fig, filename='test.html', auto_open=True)

fig.show()

3、三维空间中的面

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import numpy as np
import plotly as py
import plotly.graph_objs as go

def f(x, y):
    z = np.power(x, 2) + np.power(y, 2)
    return z

a = np.linspace(start=0, stop=3, num=4, dtype=np.int32)
b = np.linspace(start=0, stop=3, num=4, dtype=np.int32)

x, y = np.meshgrid(a, b)
z = f(x, y)


trace = go.Surface(x=x, y=y, z=z)
data = [trace]

layout = go.Layout(
    title='三维曲面',
    autosize=True,
    margin=dict(
        l=65,
        r=50,
        b=65,
        t=90
    )
)

fig = go.Figure(data=data, layout=layout)

py.offline.plot(fig, filename='test.html', auto_open=True)
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