Hello everyone,
Hello John,
thank you very much for your example - it is really fantastic. This was
exactly what I meant.
When I was trying to rewrite your code to a 'fastplot()'-command (which
would just be able to plot one point at a time) it worked quite well with
the Circle()-command you used. But is there a possibility to write the
'fastplot' in a way so that it can be used like
fastplot(x,y, marker='s', color='g',markersize = 3)?
In the example given below the color is not recognized correctly. Do I use
Line2D in a wrong way?
A second question aims on the running-behavior: It - well - stumbles a
little bit. If you add a
print i
to the for-loop you can see that the counting is done very smoothly. But the
plot isn't (at least at my computer - maybe this is already the answer).
Once again: Thanks!
Bye,
Martin
···
#-----------------------------------------------------------------------
"""A try to enable a fastplot() command"""
def fastplot_points(*args, **kwargs):
"""This program tries to enable a routine 'fastplot'
based on JDH's code doing blit only in a small region
around the new object.
Notice: args have to be (x, y) and not ([x], [y]) like for plot().
x,y are floats - not vectors!
"""
from matplotlib.lines import Line2D
from matplotlib.transforms import identity_transform, lbwh_to_bbox
ax = gca()
trans = identity_transform()
trans.set_offset( args, ax.transData)
line = Line2D([0],[0], transform=trans, **kwargs)
line.set_clip_box(ax.bbox)
ax.add_line(line)
l,b,w,h = line.get_window_extent(ax.get_renderer_cache()).get_bounds()
pad = 3
bbox = lbwh_to_bbox(l-pad, b-pad, w+2*pad, h+2*pad)
ax.draw_artist(line)
ax.figure.canvas.blit(bbox)
#-----------------------------------------------------------------------
from pylab import *
import time
n=1000
phi=2.0*pi*arange(n)/n
x=cos(phi)
y=sin(phi)
ion()
figure(1)
subplot(111, autoscale_on=False)
tstart = time.time()
title('point by point with blitting')
print " fastplot every point seperately ... "
axis([-1,1,-1,1])
axis('scaled')
draw() # necessary to get renderer
for i in xrange(n): # plot all data step by step
fastplot_points( x[i], y[i],marker='s',color='r')
tend = time.time()
print 'It took %4.2f s.'%(tend - tstart)
close(1)
ioff()
--
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