以绘图方式创建 3d 曲面图

Question

I have the following data:

I'm trying to plot x=long, y=short, z=balance

I've done it like this:

fig.add(go.Scatter3d(x=results['long'], y=results['short'], z=results['balance']))

and I get something like that:

what I am really looking for is a surface, like this example:

so, following the example's code, I did:

fig.add_surface(x=results['long'], y=results['short'], z=results['balance'], row=2, col=1)

but:

not only it doesn't display any data, it seems to totally ignore the subplot layout and draws over everything.

here is the complete code:

fig = make_subplots(rows=2, cols=1, specs=[[{'type': 'xy'}], [{'type': 'scene'}]])

fig.add_trace(go.Scatter(x=series1['timestamp'], y=series1['data'], line_color='red', name='series 1'), row=1, col=1)
fig.add_trace(go.Scatter(x=series2['timestamp'], y=series2['data'], line_color='blue', name='series 2'), row=1, col=1)
fig.update_yaxes(title_text="USD", row=1, col=1)

fig.add_surface(x=results['long'], y=results['short'], z=results['balance'], row=2, col=1)
fig.show()

so, my questions are:

• how can I create a smooth surface from the data I have?
• what did I miss regarding the layout?

Answer 1

Two answers:

1. surface traces accept a 2-d matrix for z
2. 3-d traces are plotted in a layout.scene object which is distinct from a 2-d cartesian subplot

Answer 2

Try 3D Surface plot from docs( here ). Below provide example of it. As I think, you can change z_data - and that's all, what you need:

import plotly.graph_objects as go

import pandas as pd

# Read data from a csv
z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv')

fig = go.Figure(data=[go.Surface(z=z_data.values)])

fig.update_layout(title='Mt Bruno Elevation', autosize=False,
                  width=500, height=500,
                  margin=dict(l=65, r=50, b=65, t=90))

fig.show()