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Python Data Visualization Cookbook (Second Edition)
book

Python Data Visualization Cookbook (Second Edition)

by Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli
November 2015
Beginner to intermediate
302 pages
6h 17m
English
Packt Publishing
Content preview from Python Data Visualization Cookbook (Second Edition)

Plotting a 3D trefoil knot

In this recipe, we will see how to plot a 3D trefoil knot. A trefoil knot is a closed curve with three crossings. In this recipe, we will draw not just a curve, but a solid 3D curve. This is beyond the plotly capabilities, and we will implement this functionality using a trick.

How to do it...

In this recipe, we will:

  1. Generate all the points of the knot using parametric equations.
  2. Organize the data as required by plotly.
  3. Define a clean layout.
  4. Invoke plotly to draw the chart:
    import numpy as np import plotly.plotly as py from plotly.graph_objs import Scatter3d, Data, Layout from plotly.graph_objs import Figure, Line, Margin, Marker from numpy import linspace,pi,cos,sin phi = linspace(0,2*pi,250) x = sin(phi)+2*sin(2*phi) y ...
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Publisher Resources

ISBN: 9781784396695