On 2/13/07, John Hunter <[EMAIL PROTECTED]> wrote:
> Something like the following should do the trick:
A minor modification: for a barcode, you'll want to pass
interpolation='nearest' to the imshow command. I just committed the
binary colormap to svn and added examples/barcode_demo.py. The new
version below puts it all together (but requires svn):
from pylab import figure, show, cm, nx
axprops = dict(xticks=[], yticks=[])
barprops = dict(aspect='auto', cmap=cm.binary, interpolation='nearest')
fig = figure()
# a vertical barcode
x = nx.mlab.rand(500,1)
x[x>0.8] = 1.
x[x<=0.8] = 0.
ax = fig.add_axes([0.1, 0.3, 0.1, 0.6], **axprops)
ax.imshow(x, **barprops)
# a horizontal barcode
x = nx.mlab.rand(1,500)
x[x>0.8] = 1.
x[x<=0.8] = 0.
ax = fig.add_axes([0.3, 0.1, 0.6, 0.1], **axprops)
ax.imshow(x, **barprops)
fig.savefig('barcode.png', dpi=100)
show()
-------------------------------------------------------------------------
Using Tomcat but need to do more? Need to support web services, security?
Get stuff done quickly with pre-integrated technology to make your job easier.
Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo
http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
