Jae-Joon - Thank you for your suggestion. I wasn't aware I needed the
alignments.
However, when I try your sample code in my script, I get a sequence of
rendering errors if I use show() or savefig():
Traceback (most recent call last):
File
"/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/figure.py",
line 772, in draw
for a in self.axes: a.draw(renderer)
File
"/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/axes.py",
line 1601, in draw
a.draw(renderer)
File
"/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/text.py",
line 450, in draw
bbox, info = self._get_layout(renderer)
File
"/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/text.py",
line 246, in _get_layout
'lp', self._fontproperties, ismath=False)
File
"/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/backends/backend_macosx.py",
line 123, in get_text_width_height_descent
return self.gc.get_text_width_height_descent(unicode(s), family,
size, weight, style)
RuntimeError: ATSUSetAttributes failed
My new script is below:
#!/usr/bin/env python
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
import math
matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'
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)
f=plt.figure(facecolor='g')
ax = plt.gca()
ax.set_axis_bgcolor('g')
CS = plt.contour(X, Y, Z)
xt = plt.xticks()
yt = plt.yticks()
fontsize = 10
fontdict2 = {'fontweight':'light',
'color': 'r',
'fontsize':fontsize}
fp = matplotlib.font_manager.FontProperties(fontdict2)
labels = plt.clabel(CS, inline=1, fontsize=fontsize,colors='k')
for label in labels:
ltext = label.get_text()
lx,ly = label.get_position()
lrot=label.get_rotation()
va, ha = label.get_va(), label.get_ha()
t = plt.text(lx,ly,ltext, fontproperties=fp,
rotation=lrot,va=va, ha=ha)
plt.savefig('output.png')
Jae-Joon Lee wrote:
> I guess you're missing vertical and horizontal alignment.
> Also, your font properties were not set correctly. The 4th argument of
> the text function is a color.
>
>
> fontdict2 = {'fontweight':'light',
> 'color': 'r',
> 'fontsize':fontsize}
> fp = FontProperties(fontdict2)
>
> labels = plt.clabel(CS, inline=1, fontsize=fontsize,colors='k')
> for label in labels:
> ltext = label.get_text()
> lx,ly = label.get_position()
> lrot=label.get_rotation()
> va, ha = label.get_va(), label.get_ha()
> t = plt.text(lx,ly,ltext, fontproperties=fp,
> rotation=lrot,va=va, ha=ha)
>
> You may simply use update_from() method.
>
> Anyhow, I'm not sure if you can put dorpshadow effect this way.
> Changing font weight usually changes the overall size of each glyph.
>
> Regards,
>
> -JJ
>
>
> On Tue, Jan 6, 2009 at 10:20 AM, Michael Hearne <[email protected]> wrote:
>
>> Is the list of return values from the clabel() function supposed to
>> represent the position and orientation of the contour labels? I have a
>> script below where I try to re-draw the contour labels using the Text
>> objects in the list returned from clabel(), and they do not line up in
>> my output. I'm using Matplotlib version 0.98.5.1, revision 6622.
>>
>> If this is intentional, is there some way of retrieving the actual
>> position/orientation of the contour labels? I'm trying to make a
>> drop-shadow effect for those labels, and I need to know where they are
>> exactly for my code to work.
>>
>> Sample script:
>> #!/usr/bin/env python
>> import matplotlib
>> import numpy as np
>> import matplotlib.cm as cm
>> import matplotlib.mlab as mlab
>> import matplotlib.pyplot as plt
>> import math
>>
>> matplotlib.rcParams['xtick.direction'] = 'out'
>> matplotlib.rcParams['ytick.direction'] = 'out'
>>
>> 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)
>>
>> f=plt.figure(facecolor='g')
>> ax = plt.gca()
>> ax.set_axis_bgcolor('g')
>> CS = plt.contour(X, Y, Z)
>> xt = plt.xticks()
>> yt = plt.yticks()
>>
>> fontsize = 10
>> fontdict2 = {'fontweight':'light',
>> 'color': 'r',
>> 'fontsize':fontsize}
>> labels = plt.clabel(CS, inline=1, fontsize=fontsize,colors='k')
>> for label in labels:
>> ltext = label.get_text()
>> lrot = label.get_rotation()
>> lx,ly = label.get_position()
>> plt.text(lx,ly,ltext,fontdict2,rotation=lrot)
>>
>> plt.savefig('output.png')
>>
>>
>> ------------------------------------------------------------------------------
>> _______________________________________________
>> Matplotlib-users mailing list
>> [email protected]
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
------------------------------------------------------------------------------
Check out the new SourceForge.net Marketplace.
It is the best place to buy or sell services for
just about anything Open Source.
http://p.sf.net/sfu/Xq1LFB
_______________________________________________
Matplotlib-users mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
