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Interpolation for 3d data in plotly #423
Description
Activity
You can set the line properties to spline in the trace:
Example:
import plotly.plotly as py import plotly.graph_objs as go import numpy as np x = np.linspace(1,10,num=50) y = np.random.rand(1,50) trace = go.Scatter(x=x,y=y[0],mode='lines', line=go.Line(shape='spline')) # Line shape is 'spline' here .. py.plot([trace])This is how it renders: https://plot.ly/~tarzzz/1874/
:)Reacted by OmG@tarzzz : Thanks for the reply.
But the problem is the line.shape property is present in only 2d plots. I need a similar one for 3d line plots.
In 3d I used Scatter3d function instead of just Scatter and the line object doesn't have shape object in it.
Reacted by OmG
I need a way to create a smooth representation of 3d curves in plotly. Currently I have a set of points when I plot them I get step-wise points in plotly. Is there a way to avoid the step-wise variance in the plots and get a smooth curve?
I have thought of interpolation but it is smoothing out the curve completely by avoiding all the outliers.
Attaching the images.
The blue line in this plot needs to be smoothed. It has lot of outliers which create that step effect when I plot that data.
Here is the output of interpolation:
Before Interpolation.
After Interpolation.
Any help on this would be great. Thanks.