Question

plotly（v4.5.0）是否无法将原始字符串处理到LaTeX中以用于3D图形轴标签？

要进行测试，我正在Jupyter笔记本中运行以下代码。我特意尝试了几种不同的字符串格式，以试验API如何处理它们。原始字符串为title生成LaTeX。但是我找不到scene元素的轴或刻度标签。

import numpy as np
import plotly.graph_objs as go

# define time and space data
x = np.linspace(-10, 10, 400)
t = np.linspace(0, 4*np.pi, 200)
xx, tt = np.meshgrid(x, t)
f1 = 1/np.cosh(xx + 3) * np.exp(1j*2.3*tt)

# visualize
fig = go.Figure(go.Surface(z=np.real(f1), x=xx, y=tt))
fig.update_layout(title=r'$f_1(t)$', 
                  autosize=False, width=500, height=500,
                  margin=dict(l=20, r=20, b=20, t=40),
                  scene=dict(xaxis=dict(title=r'x'),
                             yaxis=dict(title=r'$t$')))
fig.update_layout(scene=dict(xaxis=dict(nticks=3),
                             yaxis=dict(ticktext=["0",r"\pi",r"$2\pi$","3\pi","4\pi"],
                                        tickvals=np.linspace(0,4*np.pi,5))))
fig.show()

Answer 1

从上面的描述中不清楚您要实现的目标，但是我正确理解的是您正在尝试更改表面图中的轴标签。这是您可以轻松实现的方式。

import numpy as np
import plotly.graph_objs as go

# define time and space data
x = np.linspace(-10, 10, 400)
t = np.linspace(0, 4*np.pi, 200)
xx, tt = np.meshgrid(x, t)
f1 = 1/np.cosh(xx + 3) * np.exp(1j*2.3*tt)

# visualize
fig = go.Figure(go.Surface(z=np.real(f1), x=xx, y=tt))
fig.update_layout(title='Plot Title',autosize=True,
                  width=900, height=900, 
                  margin=dict(l=65, r=50, b=65, t=90))
fig.update_layout(scene = dict(
                    xaxis_title='X-axis Title',
                    yaxis_title='X-axis Title',
                    zaxis_title='X-axis Title'))                    
fig.show()

您还可以将等高线添加到曲面图：

import numpy as np
import plotly.graph_objs as go

# define time and space data
x = np.linspace(-10, 10, 400)
t = np.linspace(0, 4*np.pi, 200)
xx, tt = np.meshgrid(x, t)
f1 = 1/np.cosh(xx + 3) * np.exp(1j*2.3*tt)

# visualize
fig = go.Figure(go.Surface(z=np.real(f1), x=xx, y=tt))
fig.update_traces(contours_z=dict(show=True, usecolormap=True,
                                  highlightcolor="limegreen", project_z=True))
fig.update_layout(title='Plot Title',autosize=True,
                  width=900, height=900, 
                  margin=dict(l=65, r=50, b=65, t=90))
fig.update_layout(scene = dict(
                    xaxis_title='X-axis Title',
                    yaxis_title='Y-axis Title',
                    zaxis_title='Z-axis Title'))                    
fig.show()

这是输出图像： 1.axis-label图已添加 2。等高线图添加到曲面图

在绘图3D轴和刻度标签中使用LaTeX

1 个答案: