CODEWITHSUNDEEP
plotly
Ulgen
Ulgen

Reputation: 113

plotly continous color scale in 3d scatter

I need to do two things in plotly that are both related with the color scaling.

1) I have a time series that I scatter on 3d

fig = go.Figure(data=go.Scatter(y=dy[roi_index],mode='markers',marker=dict(color=np.random.randn(8000),colorscale='Viridis',showscale=True,size=2)))
fig.show()

enter image description here

I want to continously color scale this time series as the time increases. So, no point has the same color since no point has the same time value, and the colors are changing as we go right.

2) I want to be able to remember these colors and when I map these set of points into 3d, I need to see the colors of the points in the time series. 

fig = go.Figure(data=[go.Scatter3d(x=SW_M_tau_traces[roi_index][0], y=SW_M_tau_traces[roi_index][1], z=SW_M_tau_traces[roi_index][2],mode='markers',marker=dict(size=1,color=,
colorscale="Viridis"))])
fig.show()

enter image description here

This is what I am trying to say: enter image description here

Upvotes: 1

Views: 1963

Answers (1)

nicolaskruchten
nicolaskruchten

Reputation: 27370

Yes you can do this in both 2d and 3d:

import plotly.graph_objects as go
import numpy as np

# Helix equation
t = np.linspace(0, 10, 50)
x, y, z = np.cos(t), np.sin(t), t

fig = go.Figure(data=[go.Scatter3d(x=x, y=y, z=z, mode='markers', 
                                   marker_color=z, marker_colorscale='Viridis')])
fig.show()

fig = go.Figure(data=[go.Scatter(x=z, y=y, mode='markers', 
                                   marker_color=z, marker_colorscale='Viridis')])
fig.show()

enter image description here

enter image description here

Upvotes: 2

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