Mike,
Thanks for the help. It worked. I have another question but I will send it
as a new thread.
Nihat
On Mon, Jun 30, 2008 at 12:02 PM, Michael Droettboom [EMAIL PROTECTED]
wrote:
Tony S Yu wrote:
On Jun 30, 2008, at 11:13 AM, Michael Droettboom wrote:
transScale is where all of
Hello all,
I believe it is an easy thing to do but I haven't figured out how to convert
between coordinate systems using transData or transAxes.
x = numpy.arange(0.0, 1.0+0.01, 0.01)
y = numpy.cos(2*2*numpy.pi*x)
pylab.plot(x, y)
I want to transform y1 to axis scale between 0 and 1.
Also, I
Tony S Yu wrote:
On Jun 30, 2008, at 10:22 AM, Nihat wrote:
ax = gca()
(x_screen, y_screen) = ax.transData.transform([x[10], y[10])
(x10, y10) = ax.transAxes.inverted().transform([x_screen, y_screen])
Is it the proper way of doing it? Where can I find more info on
transformations
On Jun 30, 2008, at 11:13 AM, Michael Droettboom wrote:
transScale is where all of the (optionally) logarithmic
transformation takes place. I'm surprised
transDesired = self.transScale + self.transLimits
didn't work for going from data to a (0, 0) - (1, 1) bounding box.
Can you provide
Tony S Yu wrote:
On Jun 30, 2008, at 11:13 AM, Michael Droettboom wrote:
transScale is where all of the (optionally) logarithmic
transformation takes place. I'm surprised
transDesired = self.transScale + self.transLimits
didn't work for going from data to a (0, 0) - (1, 1) bounding
Hello all,
I believe it is an easy thing to do but I haven't figured out how to convert
between coordinate systems using transData or transAxes.Here is the
simple_plot.py
import numpy
import pylab
x = numpy.arange(0.0, 1.0+0.01, 0.01)
y = numpy.cos(2*2*numpy.pi*x)
pylab.plot(x, y)
Here I
