Hi Gökhan et al,
I hope the following code might help you out and show you the basic idea
of sharing the same x and y axis over several subplots. I've made a plot
with 2 x 2 subplots sharing both x and y axis and showing only the
labels at the left and the labels at the bottom.
import pylab
figprops = dict(figsize=(8., 8. / 1.618),
dpi=128) # Figure properties
adjustprops = dict(left=0.1, bottom=0.1, right=0.97, top=0.93,
wspace=0.08,
hspace=0.1) #
Subplot properties
fig =
pylab.figure(**figprops)
# New figure
fig.subplots_adjust(**adjustprops)
# Tunes the subplot layout
ax = fig.add_subplot(2, 2, 1)
bx = fig.add_subplot(2, 2, 2, sharex=ax, sharey=ax)
cx = fig.add_subplot(2, 2, 3, sharex=ax, sharey=ax)
dx = fig.add_subplot(2, 2, 4, sharex=ax, sharey=ax)
ax.plot(X1, Y1, 'k-')
bx.plot(X2, Y2, 'k-')
cx.plot(X3, Y3, 'k-')
dx.plot(X4, Y4, 'k-')
pylab.setp(ax.get_xticklabels(), visible=False)
pylab.setp(bx.get_xticklabels(), visible=False)
pylab.setp(bx.get_yticklabels(), visible=False)
pylab.setp(dx.get_yticklabels(), visible=False)
You can make the subplots come closer by changing the /wspace/ and
/hspace/ entries in the /adjustprops/ dictionary.
Cheers,
Sebastian
Gökhan SEVER wrote:
I don't know how to do this in matplotlib. Can you give an example?
Chip,
I tried your method but didn't work for me :(
So far, my best approach is use some GIMP tricks on transparent
canvas. With these improvements I am finishing my first official poster.
Thanks.
Gökhan
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