[Matplotlib-users] bug in fcontour with v1.1.0 ?
Hello,
I am new to this list, but not totally to matplotlib.
I installed v1.1.0 lately, and i noticed that something went wrong (or,
not as before) with fcontour().
It looks like the range of colors used to fill in, is not set correctly.
Sorry, i cannot really tel it better, but i have a piece of source code,
that highlights the phenomenon :
#!/usr/bin/python
import os
import sys
from pylab import *
# parameters we bach on
x = linspace(-10,10,30)
y = linspace(-4,4,30)
X,Y = meshgrid(x,y)
F = 0.5*X**2 + (7*Y**2)/2
fig = figure(num=None, figsize=(6, 6), dpi=80, facecolor='#66',
edgecolor='k')
ax = fig.gca()
cmap=get_cmap('reds')
plage = arange(0,100,1)
surf = contourf(X,Y,F, plage)
plage = arange(0,100,2)
surf = contour(X,Y,F, plage, linewidths=2)
ax.grid(True)
fig.colorbar(surf, shrink=0.5, aspect=5)
axis([x.min(),x.max(),y.min(),y.max()])
show()
I ran it with pyV2.6/matplotlibV0.99.1, and it behaves differently with
pyV2.7/matplotlibV1.1.0 .
Could you confirm that on your computer, if this is an expected
behaviour, and, if not, if you have an idea about how to fix it ?
thanks a lot,
Arnaud.
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Re: [Matplotlib-users] bug in fcontour with v1.1.0 ?
Hello, and thank you for this answer.
I do not care that much of the colorbar, i added it to make sure the
range actually started at 0.
I used the contour function to that purpose too i.e. to show that my
function actally ranged from 0 to 100.
Removing both colorbar and contour, i have the same result.
I finally found a solution to this : i changed the backend
in .matplotlibrc from GTK to GTKAgg, and it works.
thanks again for answering!
best
--
RHENOVIA - Arnaud LEGENDRE.
Le lundi 05 décembre 2011 à 20:04 -1000, Eric Firing a écrit :
> On 12/05/2011 10:00 AM, Arnaud wrote:
> > Hello,
> >
> > I am new to this list, but not totally to matplotlib.
> > I installed v1.1.0 lately, and i noticed that something went wrong (or,
> > not as before) with fcontour().
> > It looks like the range of colors used to fill in, is not set correctly.
> > Sorry, i cannot really tel it better, but i have a piece of source code,
> > that highlights the phenomenon :
>
> Try removing the call to contour; it is not doing you any good, at least
> in this example. You are passing its ContourSet return object to your
> colorbar call, so your colorbar is showing the contour lines, not the
> continuous range of colors, which I think is what you want.
>
> You can show both contourf colors and contour lines on a colorbar, if
> you do want that; see
> http://matplotlib.sourceforge.net/examples/pylab_examples/contourf_demo.html
>
> Eric
>
> >
> > #!/usr/bin/python
> > import os
> > import sys
> > from pylab import *
> >
> > # parameters we bach on
> > x = linspace(-10,10,30)
> > y = linspace(-4,4,30)
> > X,Y = meshgrid(x,y)
> > F = 0.5*X**2 + (7*Y**2)/2
> >
> > fig = figure(num=None, figsize=(6, 6), dpi=80, facecolor='#66',
> > edgecolor='k')
> >
> > ax = fig.gca()
> >
> > cmap=get_cmap('reds')
> > plage = arange(0,100,1)
> > surf = contourf(X,Y,F, plage)
> > plage = arange(0,100,2)
> > surf = contour(X,Y,F, plage, linewidths=2)
> >
> > ax.grid(True)
> > fig.colorbar(surf, shrink=0.5, aspect=5)
> > axis([x.min(),x.max(),y.min(),y.max()])
> >
> > show()
> >
> >
> > I ran it with pyV2.6/matplotlibV0.99.1, and it behaves differently with
> > pyV2.7/matplotlibV1.1.0 .
> >
> > Could you confirm that on your computer, if this is an expected
> > behaviour, and, if not, if you have an idea about how to fix it ?
> >
> > thanks a lot,
> > Arnaud.
> >
> >
> >
> >
> > --
> > All the data continuously generated in your IT infrastructure
> > contains a definitive record of customers, application performance,
> > security threats, fraudulent activity, and more. Splunk takes this
> > data and makes sense of it. IT sense. And common sense.
> > http://p.sf.net/sfu/splunk-novd2d
> > ___
> > Matplotlib-users mailing list
> > Matplotlib-users@lists.sourceforge.net
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
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> This white paper is intended to serve as a reference, checklist and point of
> discussion for anyone considering optimizing the pricing and packaging model
> of a cloud services business. Read Now!
> http://www.accelacomm.com/jaw/sfnl/114/51491232/
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[Matplotlib-users] plot_surface fails with log axes ?
Hello,
i encountered a problem when trying to set axes as logarithmic in a 3D
plot using plot_surface().
I do not know if it is a known bug or if it is a workaround ...?
the failing code is :
#!/usr/bin/python
import os
import sys
from pylab import *
from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d import axes3d
import numpy as np
# parameters we bach on
X = np.arange(0.1, 20, 0.5)
Y = np.arange(0.1, 20, 0.5)
X, Y = np.meshgrid(X, Y)
R = np.sqrt((X-10)**2 + (Y-10)**2)
Z = np.sin(R)
fig = figure(num=None, figsize=(6, 6), dpi=80, facecolor='#F2F2F2',
edgecolor='k')
ax = subplot(111,projection='3d')
# the two following make the plot fail
#ax.set_yscale('log')
ax.set_xscale('log')
ax.plot_surface(X,Y,Z, rstride=1, cstride=1, cmap=cm.jet, linewidths=.5)
show()
and the complete output is :
Traceback (most recent call last):
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_gtk.py",
line 395, in expose_event
self._render_figure(self._pixmap, w, h)
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_gtkagg.py",
line 75, in _render_figure
FigureCanvasAgg.draw(self)
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py",
line 401, in draw
self.figure.draw(self.renderer)
File "/usr/local/lib/python2.7/site-packages/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/matplotlib/figure.py",
line 884, in draw
func(*args)
File
"/usr/local/lib/python2.7/site-packages/mpl_toolkits/mplot3d/axes3d.py",
line 210, in draw
ax.draw(renderer)
File
"/usr/local/lib/python2.7/site-packages/mpl_toolkits/mplot3d/axis3d.py",
line 393, in draw
tick.draw(renderer)
File "/usr/local/lib/python2.7/site-packages/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/matplotlib/axis.py", line
234, in draw
self.label1.draw(renderer)
File "/usr/local/lib/python2.7/site-packages/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/matplotlib/text.py", line
591, in draw
ismath=ismath)
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py",
line 142, in draw_text
return self.draw_mathtext(gc, x, y, s, prop, angle)
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py",
line 131, in draw_mathtext
x = int(x) + ox
File "/usr/local/lib/python2.7/site-packages/numpy/ma/core.py", line
3795, in __int__
raise MaskError, 'Cannot convert masked element to a Python int.'
numpy.ma.core.MaskError: Cannot convert masked element to a Python int.
Traceback (most recent call last):
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_gtk.py",
line 395, in expose_event
self._render_figure(self._pixmap, w, h)
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_gtkagg.py",
line 75, in _render_figure
FigureCanvasAgg.draw(self)
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py",
line 401, in draw
self.figure.draw(self.renderer)
File "/usr/local/lib/python2.7/site-packages/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/matplotlib/figure.py",
line 884, in draw
func(*args)
File
"/usr/local/lib/python2.7/site-packages/mpl_toolkits/mplot3d/axes3d.py",
line 210, in draw
ax.draw(renderer)
File
"/usr/local/lib/python2.7/site-packages/mpl_toolkits/mplot3d/axis3d.py",
line 393, in draw
tick.draw(renderer)
File "/usr/local/lib/python2.7/site-packages/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/matplotlib/axis.py", line
234, in draw
self.label1.draw(renderer)
File "/usr/local/lib/python2.7/site-packages/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/matplotlib/text.py", line
591, in draw
ismath=ismath)
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py",
line 142, in draw_text
return self.draw_mathtext(gc, x, y, s, prop, angle)
File
"/usr/local/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py",
line 131, in draw_mathtext
x = int(x) + ox
File "/usr/local/lib/python2.7/site-packages/numpy/ma/core.py", line
3795, in __int__
Re: [Matplotlib-users] plot_surface fails with log axes ?
thanks, of course, this work. I will have to edit ticks labels ... shall we expect a correction in near future ? best, -- RHENOVIA - Arnaud LEGENDRE. Le mardi 06 décembre 2011 à 10:45 -0600, Benjamin Root a écrit : > On Tue, Dec 6, 2011 at 10:08 AM, Arnaud > wrote: > Hello, > > i encountered a problem when trying to set axes as logarithmic > in a 3D > plot using plot_surface(). > > I do not know if it is a known bug or if it is a > workaround ...? > > Yes, this is a known bug and it is a very tricky one to untangle. My > only suggestion is to plot the function using linearized log values. > So, maybe something like this: > > #!/usr/bin/python > import os > import sys > from pylab import * > from mpl_toolkits.mplot3d import Axes3D > from mpl_toolkits.mplot3d import axes3d > import numpy as np > # parameters we bach on > X = np.log10(np.arange(0.1, 20, 0.5)) > Y = np.log10(np.arange(0.1, 20, 0.5)) > X, Y = np.meshgrid(X, Y) > R = np.sqrt((10**X-10)**2 + (10**Y-10)**2) > Z = np.sin(R) > > fig = figure(num=None, figsize=(6, 6), dpi=80, facecolor='#F2F2F2', > edgecolor='k') > ax = subplot(111,projection='3d') > ax.plot_surface(X,Y,Z, rstride=1, cstride=1, cmap=cm.jet, > linewidths=.5) > > show() > > Now, that won't make the points evenly spaced, so you might want to do > something like the following: > > X = np.log10(np.logspace(-1, 1.3, 40)) > > I hope that helps! > Ben Root > -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] zooming with transforms
What is the most effective approach to perform a 'zoom under mouse cursor'? Currently I use the following code (considering g as mpl.Axes), but set_xlim() is called twice. Is there a better approach? # First zoom result = \ g.bbox.shrunk(DEFAULT_ZOOM_FACTOR,1).transformed(g.transData.inverted()) g.set_xlim(*result.intervalx) # Get the new location of initial event b = g.transData.transform_point([event.xdata, 0]) # Then replace the original location under the mouse cursor result = \ g.bbox.translated(-(event.x-b[0]),0).transformed(g.transData.inverted()) g.set_xlim(*result.intervalx) Arnaud. -- This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] zooming with transforms
What is the most effective approach to perform a 'zoom under mouse cursor'? Currently I use the following code (considering g as mpl.Axes), but set_xlim() is called twice. Is there a better approach? # First zoom result = \ g.bbox.shrunk(DEFAULT_ZOOM_FACTOR,1).transformed(g.transData.inverted()) g.set_xlim(*result.intervalx) # Get the new location of initial event b = g.transData.transform_point([event.xdata, 0]) # Then replace the original location under the mouse cursor result = \ g.bbox.translated(-(event.x-b[0]),0).transformed(g.transData.inverted()) g.set_xlim(*result.intervalx) Arnaud. -- This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
