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Showing 3 results of 3

Dear all,
I want to visualize the image through the stereographic projection (that
maps
the extended complex plane to the unit sphere), of a circle and a line from
the plane.
I imported:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
If I plot only the the sphere and a circle in the plane xoy and set:
ax.set_aspect('equal')
all is OK, but inserting one more plot for the image of the circle onto the
sphere,
the aspect is changed and the sphere is displayed as an ellipsoid.
My question is: how could I lock the aspect in order to keep the geometry
of the sphere?
Thanks,
Em
From: diedro <die...@gm...> - 2014年04月07日 10:33:32
dear all, 
I get it.
I have only to set:
cm = matplotlib.cm.get_cmap()
and then I have again the default colormap 
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/colormap-default-tp43196p43197.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
From: diedro <die...@gm...> - 2014年04月07日 10:28:18
Dear all,
I am trying to plot different subplot with different colormap colors.
this is the first one, with colormap in red (YlOrRd):
cm = matplotlib.cm.get_cmap('*YlOrRd*')
sc=ax1.scatter(xp[::N],yp[::N], s=20, c=QA[::N],
marker='o',edgecolor='none',alpha=0.8,
 cmap=cm,
 vmin=vmin,vmax=vmax) 
How can set up again the default matplotlib colormap for the other. I do not
know the name of it.
thanks you all
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/colormap-default-tp43196.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Showing 3 results of 3

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