matplotlib-users Mailing List for matplotlib

Ok, ok, I'll leave the axis('scaled') in.
Glad to hear someone finds it useful.
It actually also works for subplots, I had forgotten I had already fixed=20
that.

I patched the backed_bases to add the postition to a history stack, but it=
=20
probably doesn't get called everywhere correctly (i.e., the current=20
views/position should also be put on the stack when the subplot size is=20
adjused I guess). But it works fine when scaling/panning figures in the new=
=20
toolbar. I'll post it as a patch.

If someone still thinks axis('scaled') is broken, after all the discussion=
=20
we've had, please repost so we can work it out.

Thanks, Mark

Well, third question related to my figure...

as you can see the first tick of the x axis of the colorbar for the last plot 
(\Omega) is labelled "-0.0".

How to prevent this and have the tick labelled simply as "0.0" ?

Cheers,
Nicolas

Hi again,

this is my second question related to the figure located at:
http://nicolasgirard.nerim.net/img/artifacts.png

The figure was generated using an instance of the following RunContour clas=
s:

class RunFigure:
    """ Une figure relative =E0 un unique run """
    def __init__(self,run):
        """ On sp=E9cifie le run, soit par son nombre nb, soit directement =
"""
        self.run =3D run
        # pour fichier de sortie
        self.plotname=3D'fig'
        self.dpi=3D150
        self.orientation=3D'portrait'
        self.figsize=3D(5,3)
        # Titre de la figure
        self.figtitle=3D"Run %04d - %s"%(self.run.nb,self.run.title)
    def plot(self):
        #gray()
        self.fig=3Dfigure(figsize=3Dself.figsize,dpi=3Dself.dpi)
    def filename(self):
        return '/home/ngirard/out/%04d_%s.png'%(self.run.nb,self.plotname)
    def save(self):
        gray()
        savefig(self.filename(),
                dpi=3Dself.dpi,orientation=3Dself.orientation)

class RunContour(RunFigure):
    def __init__(self,run,vals=3D['y1'],max=3DNone,**kwargs):
        RunFigure.__init__(self,run,**kwargs)
        #self.max =3D max or self.run.iz
        # pour fichier de sortie
        self.plotname=3D'cont'
        self.orientation =3D 'landscape'
        self.figsize=3D(11,7)
        r =3D self.run
        self.vals =3D [r.y[0],r.y[2],r.y[4],r.y[6],r.p,r.q,r.omega]
        self.valnames =3D [r"\rho",r"v_z",r"B_z",r"I",r"P",r"Q",r"\Omega"]
    def plot(self):
        RunFigure.plot(self)
        nbvals =3D len(self.vals)
        plotLocations =3D ["1%d%d"%(nbvals,i+1) for i in range(nbvals)]
        titles =3D [r"$%s$"%n for n in self.valnames]
        first=3DTrue
        for val in self.vals:
            plotLocation =3D plotLocations.pop(0)
            if first:
                ax1=3Dsubplot(plotLocation)
                ax1.xaxis.set_major_locator(LinearLocator(numticks=3D3))
                first=3DFalse
            else:
                ax =3Dsubplot(plotLocation,sharex=3Dax1,sharey=3Dax1)
                setp(ax.get_yticklabels(), visible=3DFalse)
                setp(ax.get_xticklabels(), visible=3DFalse)
            contourf(self.run.r,self.run.z,val,30)
            title(titles.pop(0),fontproperties=3Dsmall)
            cb =3D colorbar(orientation=3D'horizontal')
            cb.xaxis.set_major_locator(LinearLocator(numticks=3D3))


On to my question:
Note that I specified a linear locator for the x axis of the 1st plot, and =
for=20
the x axis of the colorbars using the same code:

   ooooooo.set_major_locator(LinearLocator(numticks=3D3))

However all colorbars ticks are formatted with a 2 digit precision whereas =
the=20
ticks of the 1st fig. xaxis are formatted with a 3 digit precision.=20

Why this discrepancy ?

PS: please don't hesitate to give me any advice to enhance the above code i=
f=20
you wish !

Thanks in advance,
Nicolas

Hi all,
I'd like to ask you several questions related to a figure I've generated ; I 
apologize in advance for the forthcoming messages, because I've chosen to 
start a new thread for each question...

My figure is located at http://nicolasgirard.nerim.net/img/artifacts.png . 
Beware that the file is quite large (over 400 kb).

Now, my first question is: notice the artifacts on the contours of Bz and I at 
y=0.3 and y=0.55, and on the contours of Q for multiples values of y. These 
doesn't come from data, as they disappear when zooming in. Do you know where 
do they come from ? And, more importantly (to me), how to get rid of them ?

Cheers,
Nicolas

>>>>> "andrea" == andrea gavana@tin it <and...@ti...> writes:

    andrea> I do these steps:

    andrea> def mouse_press(self, event):

You code is badly wrapped, which makes it really hard to read and
test.  Could you post again being careful to make sure that the lines
don't wrap?

Also, see the recent wiki entry "Interactive Plotting" which addresses
related issues, particularly picking points in a scatter plot.

JDH