Hi:
I'm trying to get a semilog 3D plot. I want to plot several 2D time series
lines, with the third axis being on a log scale. I am trying to set an axis
to log using ax.set_yscale('log'), but am getting errors. Is this possible?
I keep getting numpy errors when I try:
raise MaskError, 'Cannot convert masked element to a Python int.'
numpy.ma.core.MaskError: Cannot convert masked element to a Python int.
My attempt:
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
#ax = fig.gca()
ax = Axes3D(fig)
colors = ('r', 'g', 'b', 'k')
zd = (0., 1., 2., 3.)
T2 = (0.9, .8, .7, .6)
ic = 1
for ic in xrange(len(colors)):
x = np.arange(0.05,1,.005)
z = np.exp(-x/T2[ic]) + np.random.normal(0, .05, len(x))
y = np.exp(zd[ic])*np.ones(len(x))
ax.plot(x,y,z)
# Error if uncommented
#ax.set_yscale('log')
plt.show()
Thanks for any insight.
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