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Hi,

I didn't find any tip for preparation of simple black and white 2D plot,
especially for nice output in eps for publication.

Any suggestions are welcome.

Hi everybody,

I have a problem with my application using Tkinter.

To simplify, here follows a small program showing the encountered problem:

################
from pylab import *

a = arange( 10 )

plot( 0.5*a, cos(a) )

gca().set_autoscale_on(False)

plot( a, cos(a), 'r' )
gca().set_autoscale_on(True)
show()
################

At this time, the problem is that by clicking on the "house" (first button in
the pylab toolbar), it is impossible to get the two curves completely,
whereas the "pan/zoom mode" (the cross button) shows that the red curve has
been drawn completely.

Is there a function to obtain a "true" autoscale, i.e. that looks at all data
on the plot, and computes the best view?

Thanks a lot

Julien

Why are you turning autoscaling off and on?  When you turn it off, the 
autoscale mechanism effectively "ignores" any plots until you turn it 
back on.  If you remove

gca().set_autoscale_on(False)

all seems to work fine.

Is your question that you want to autoscale to a plot after creating it?

Mike

par...@fr... wrote:
> Hi everybody,
>
> I have a problem with my application using Tkinter.
>
> To simplify, here follows a small program showing the encountered problem:
>
> ################
> from pylab import *
>
> a = arange( 10 )
>
> plot( 0.5*a, cos(a) )
>
> gca().set_autoscale_on(False)
>
> plot( a, cos(a), 'r' )
> gca().set_autoscale_on(True)
> show()
> ################
>
> At this time, the problem is that by clicking on the "house" (first button in
> the pylab toolbar), it is impossible to get the two curves completely,
> whereas the "pan/zoom mode" (the cross button) shows that the red curve has
> been drawn completely.
>
> Is there a function to obtain a "true" autoscale, i.e. that looks at all data
> on the plot, and computes the best view?
>
> Thanks a lot
>
> Julien
>
>
>
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>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Michael Droettboom wrote:

> Why are you turning autoscaling off and on?  When you turn it off, the
> autoscale mechanism effectively "ignores" any plots until you turn it
> back on.  If you remove
>
> gca().set_autoscale_on(False)
>
> all seems to work fine.
>
> Is your question that you want to autoscale to a plot after creating it?

I want to be able to "freeze" the plot when adding another curve (because I
want to compare the added curve and a previous one in a small portion of
the X/Y plane, this portion may have been chosen by a zoom of the user
before adding the curve).

Once this comparison has been performed, the user may want to autoscale the
complete plot. If the added curve is larger than the previous one, the
autoscale should take into account the larger curve.

Julien

-- 
python -c "print ''.join([chr(154 - ord(c)) for c in '*9(9&(18%.9&1+,\'Z
(55l4('])"

"When a distinguished but elderly scientist states that something is
possible, he is almost certainly right. When he states that something is
impossible, he is very probably wrong." (first law of AC Clarke)

Emmanuel Favre-Nicolin ha scritto:
> Hi,
> 
> I didn't find any tip for preparation of simple black and white 2D plot, 
> especially for nice output in eps for publication.
> 
> Any suggestions are welcome.

I don't get it. What kind of tips do you need? How to change the plot 
colour?

m.

-- 
Massimo Sandal
University of Bologna
Department of Biochemistry "G.Moruzzi"

snail mail:
Via Irnerio 48, 40126 Bologna, Italy

email:
mas...@un...

tel: +39-051-2094388
fax: +39-051-2094387

Sorry, forgot to copy the list.

On 6/27/07, Ryan Krauss <rya...@gm...> wrote:
> I think what you are asking is how to make mpl plot different line
> types in colors and styles that are easily distinguishable when
> plotted in grayscale.  I had tinkered with this a bit in the past and
> the final suggestion was to write some helper functions so that I
> could do the following:
>
> from mycyclers import colorcycler, linecycler
>
>  for data in mydata:
>     ax.plot(data, linestyle=linecycler(), color=colorcycler())
>
> so that by writing a linecycler function I could control the line
> types plotted each time and the same with the color.  Color would be
> specified as a grayscale  such as '#808080' for a medium gray or
> '#000000' for black.
>
> I didn't actually do it this way or I would post the code (I was in a
> hurry and did something hackish).  I think that linecycler and
> colorcycler would be helper classes thta increment there own internal
> count when called and return a linestyle or color.
>
> I think what you want in the end is a simple way to do this:
>
> t=arange(0,1,0.01)
> y=sin(2*pi*t)
> x=cos(2*pi*t)
> plot(t,x,color='#000000',linestyle='-')
> plot(t,y,color='#808080',linestyle=':')
>
> where color and line style would increment pseudo-automatically
> through lists you have defined and that you like.
>
> A slightly better approach might be:
> t=arange(0,1,0.01)
> y=sin(2*pi*t)
> x=cos(2*pi*t)
> data=[x,y]
> mycolors=['#000000','#808080']
> mytypes=['-',':']
>
> def grayscaleplot(data,t):
>     for n,item in enumerate(data):
>         plot(t,item, color=mycolors[n], linestyle=mytypes[n])
>
> FWIW,
>
> Ryan
>
>
> On 6/27/07, Emmanuel Favre-Nicolin <man...@gm...> wrote:
> > Hi,
> >
> > I didn't find any tip for preparation of simple black and white 2D plot,
> > especially for nice output in eps for publication.
> >
> > Any suggestions are welcome.
> >
> >
> >
> >
> > -------------------------------------------------------------------------
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> >
>