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Last active Apr 24, 2019
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A quick demonstration of how to plot multivalued complex functions in Python.
import numpy
import sympy
from mpl_toolkits.mplot3d import Axes3D
import matplotlib
from matplotlib import cm, colors
from matplotlib import pyplot as plt
branching_number = 2
Nr = 16
Ntheta = 32
# compute the theta,R domain
theta = numpy.linspace(0,2*numpy.pi*branching_number, Ntheta)
r = numpy.linspace(0,1,Nr)
Theta, R = numpy.meshgrid(theta,r)
z = R*numpy.exp(1j*Theta)
# compute w^2 = z. THE KEY IDEA is to pass the exponentiation by 1/2 into exp().
w = numpy.sqrt(R)*numpy.exp(1j*Theta/2)
# color by argument
arguments = numpy.angle(w)
norm = colors.Normalize(arguments.min(), arguments.max())
color = cm.jet(norm(arguments))
fig = plt.figure(figsize=(16,8))
# plot the real part
ax_real = fig.add_subplot(1,2,1,projection='3d')
ax_real.plot_surface(z.real, z.imag, w.real,
rstride=1, cstride=1, alpha=0.5, facecolors=color)
# plot the imaginary part
ax_imag = fig.add_subplot(1,2,2,projection='3d')
ax_imag.plot_surface(z.real, z.imag, w.imag,
rstride=1, cstride=1, alpha=0.5, facecolors=color)
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@rakista rakista commented Apr 24, 2019

Thanks for this.

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