Python 3.x 子批次中的轴标签仅在左侧子批次中正确显示
我试图在使用Plotly创建的子图中命名轴,如下所示。我成功地使用了第一个(左)子图,但我不能影响其他子图中的轴标签。我不清楚为什么。如何修复代码Python 3.x 子批次中的轴标签仅在左侧子批次中正确显示,python-3.x,plotly,subplot,axis-labels,Python 3.x,Plotly,Subplot,Axis Labels,我试图在使用Plotly创建的子图中命名轴,如下所示。我成功地使用了第一个(左)子图,但我不能影响其他子图中的轴标签。我不清楚为什么。如何修复代码 def bern(theta, z, N): """Bernoulli likelihood with N trials and z successes.""" return np.clip(theta**z * (1-theta)**(N-z), 0,
def bern(theta, z, N):
"""Bernoulli likelihood with N trials and z successes."""
return np.clip(theta**z * (1-theta)**(N-z), 0, 1)
def bern2(theta1, theta2, z1, z2, N1, N2):
"""Bernoulli likelihood with N trials and z successes."""
return bern(theta1, z1, N1) * bern(theta2, z2, N2)
def make_thetas(xmin, xmax, n):
xs = np.linspace(xmin, xmax, n)
widths =(xs[1:] - xs[:-1])/2.0
thetas = xs[:-1]+ widths
return thetas
thetas1 = make_thetas(0, 1, 101)
thetas2 = make_thetas(0, 1, 101)
X, Y = np.meshgrid(thetas1, thetas2)
a = 2
b = 3
z1 = 11
N1 = 14
z2 = 7
N2 = 14
prior = stats.beta(a, b).pdf(X) * stats.beta(a, b).pdf(Y)
likelihood = bern2(X, Y, z1, z2, N1, N2)
posterior = stats.beta(a + z1, b + N1 - z1).pdf(X) * stats.beta(a + z2, b + N2 - z2).pdf(Y)
fig = make_subplots(rows=1, cols=3, specs= [[{'is_3d': True}, {'is_3d': True}, {'is_3d': True}]], subplot_titles=('Prior', 'Likelihood', 'Posterior'))
fig.add_trace(go.Surface(z= prior, showscale= True), 1, 1)
fig.add_trace(go.Surface(z= likelihood, showscale= True), 1, 2)
fig.add_trace(go.Surface(z= posterior, showscale= True),1,3, False)
fig.update_layout(title='Prior - Likelihood - Posterior', autosize= True, scene = dict(
xaxis_title='theta1',
yaxis_title='theta2',
zaxis_title='Probability Density'),
width= 1300, height=600,
margin=dict(l=65, r=50, b=65, t=90))
fig.show()
代码的输出如下所示:
如果用以下代码替换bottow上的更新布局位,它将起作用:
fig.update_layout(title='Prior - Likelihood - Posterior', autosize=True,
scene1=dict(
xaxis_title='theta1',
yaxis_title='theta2',
zaxis_title='Probability Density'),
scene2=dict(
xaxis_title='theta1',
yaxis_title='theta2',
zaxis_title='Probability Density'),
scene3=dict(
xaxis_title='theta1',
yaxis_title='theta2',
zaxis_title='Probability Density'),
width=1300, height=600,
margin=dict(l=65, r=50, b=65, t=90))
阅读官方文档时,它确实说您可以指定layout.scene、layout.scene2等,这不是最明显的,只需看他们提供的示例就可以了。如果您用以下代码替换bottow的update\u layout位,它将起作用:
fig.update_layout(title='Prior - Likelihood - Posterior', autosize=True,
scene1=dict(
xaxis_title='theta1',
yaxis_title='theta2',
zaxis_title='Probability Density'),
scene2=dict(
xaxis_title='theta1',
yaxis_title='theta2',
zaxis_title='Probability Density'),
scene3=dict(
xaxis_title='theta1',
yaxis_title='theta2',
zaxis_title='Probability Density'),
width=1300, height=600,
margin=dict(l=65, r=50, b=65, t=90))
阅读官方文档,它确实说你可以指定layout.scene、layout.scene2等等,仅仅通过查看他们提供的示例并不是最明显的,但现在我们开始