JJ,
Very nice repair, as this works precisely as it should. I use this tool in
Matlab all the time when teaching multivariable calculus.
D.
On Feb 6, 2010, at 2:41 PM, Jae-Joon Lee wrote:
> This is a known bug, and I think I fixed it in the svn. Meanwhile, you
> may use the monkey patching.
> Insert these lines in your script (before you call clabel).
>
> Regards,
>
> -JJ
>
>
> import matplotlib.blocking_input as blocking_input
> def mouse_event_stop(self, event ):
> blocking_input.BlockingInput.pop(self,-1)
> self.fig.canvas.stop_event_loop()
> def add_click(self, event):
> self.button1(event)
> def pop_click(self, event, index=-1):
> if self.inline:
> pass
> else:
> self.cs.pop_label()
> self.cs.ax.figure.canvas.draw()
>
> blocking_input.BlockingMouseInput.mouse_event_stop = mouse_event_stop
> blocking_input.BlockingMouseInput.add_click = add_click
> blocking_input.BlockingMouseInput.pop_click = pop_click
>
>
>
> On Sat, Feb 6, 2010 at 2:01 AM, David Arnold <dwarnol...@suddenlink.net>
> wrote:
>> Hi,
>>
>> I'm trying to get manual labeling of contours to work:
>>
>> import numpy as np
>> import matplotlib.mlab as mlab
>> import matplotlib.pyplot as plt
>>
>> delta = 0.025
>> x = np.arange(-3.0, 3.0, delta)
>> y = np.arange(-2.0, 2.0, delta)
>> X, Y = np.meshgrid(x, y)
>> Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
>> Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
>> # difference of Gaussians
>> Z = 10.0 * (Z2 - Z1)
>>
>> plt.figure()
>> CS = plt.contour(X, Y, Z, 6,
>> linewidths=np.arange(.5, 4, .5),
>> colors=('r', 'green', 'blue', (1,1,0), '#afeeee', '0.5')
>> )
>> plt.clabel(CS, fontsize=9, inline=1, manual=True)
>> plt.title('Crazy lines')
>>
>> plt.show()
>>
>> On my macbook, clicking with the touchpad does not seem to work.
>>
>> Any ideas?
>>
>> David.
>>
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