matplotlib-users Mailing List for matplotlib

In the picture below I'd like to have axes labelling the x,y
parameters that change when moving from one subplot to another, so it
would be like having subplots contained inside of another plot axes
http://web.engr.oregonstate.edu/~bulatov/subplots.png
What is the easiest way of doing that in matplotlib?
--=20
Yaroslav Bulatov
bu...@cs...
Dearborn 102
Oregon State University
Corvallis, OR

Rob Hetland wrote:
>
> I would like to know how to create my own colormaps. cm.jet et al. 
> are very nice, but sometimes I need to create my own to highlight 
> certain values in my maps. I have not found any information about 
> this in the manual, and I don't understand how the maps are used 
> under the hood to figure it out myself.
>
> Any advice?
>
Rob: Check this wiki item and the associated mailing list thread:
http://www.scipy.org/wikis/topical_software/LoadingAColormapDynamically
-Jeff
-- 
Jeffrey S. Whitaker Phone : (303)497-6313
Meteorologist FAX : (303)497-6449
NOAA/OAR/CDC R/CDC1 Email : Jef...@no...
325 Broadway Office : Skaggs Research Cntr 1D-124
Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg

On 2005年9月16日, Zhang apparently wrote: 
> When I try to put 4x3=12 subplots on a figure, I find 
> each sub-figure is very small, and there xlabel/ylabel 
> overlap. It seems subplot uses a fixed size canvas for 
> plotting. 
Once you get this to look nice,
please post an example.
Thank you,
Alan Isaac

I would like to know how to create my own colormaps. cm.jet et al. 
are very nice, but sometimes I need to create my own to highlight 
certain values in my maps. I have not found any information about 
this in the manual, and I don't understand how the maps are used 
under the hood to figure it out myself.
Any advice?
-----
Rob Hetland, Assistant Professor
Dept of Oceanography, Texas A&M University
p: 979-458-0096, f: 979-845-6331
e: he...@ta..., w: http://pong.tamu.edu

#!/usr/bin/env python
#Boa:App:BoaApp
import wx
import Frame1
modules ={'Frame1': [1, 'Main frame of Application', 'Frame1.py']}
class BoaApp(wx.App):
 def OnInit(self):
 wx.InitAllImageHandlers()
 self.main = Frame1.create(None)
 self.main.Show()
 self.SetTopWindow(self.main)
 return True
def main():
 application = BoaApp(0)
 application.MainLoop()
if __name__ == '__main__':
 main()

Many thanks, that's extract what I want
On 9/16/05, Nicolas Dubuit <du...@pe...> wrote:
>=20
> Hi,
>=20
> Since Matplotlib version 0.82, you can adjust subplot vspace, hspace and
> margins.
>=20
> Either use subplots_adjust
> http://matplotlib.sourceforge.net/matplotlib.pylab.html#-subplots_adj=
ust
> or from the figure window, use the new toolbar button (on the left of "sa=
ve")
> to adapt it conveniently.
>=20
> You can also specify the standard behaviour for the session in the rc par=
ams :
> rc('figure.subplot', wspace=3D0.3)
>=20
> Regards
>=20
> Nicolas
>=20
>=20
> Le Vendredi 16 Septembre 2005 11:29, Zhang Le a =E9crit:
> > Hello,
> > I want to print around 100 histograms using A4 paper. Since I do not
> > know how to print on multiple pages, I simply print 6 or 9 subplots on
> > call to savefig(), followed by a call to clf(), then repeat the
> > process.
> > The problem is, when I put more than 9 subplots into a ps file, I
> > found the figures were placed near to each other in the center area,
> > although there is plenty of free space to do a 4x3 placement without
> > overlap.
> > When I try to put 4x3=3D12 subplots on a figure, I find each
> > sub-figure is very small, and there xlabel/ylabel overlap. It seems
> > subplot uses a fixed size canvas for plotting.
> >
> > Is there a way to control the vspace and hspace between figures in a
> > subplot so that in my case all 12 subplots be placed evenly on an A4
> > paper?
> >
> > Many thanks,
> > Zhang Le
> >
> >
> > -------------------------------------------------------
> > SF.Net email is sponsored by:
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> > Download it for free - -and be entered to win a 42" plasma tv or your v=
ery
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hp
> > _______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>=20
>=20
> -------------------------------------------------------
> SF.Net email is sponsored by:
> Tame your development challenges with Apache's Geronimo App Server. Downl=
oad
> it for free - -and be entered to win a 42" plasma tv or your very own
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> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi,
Since Matplotlib version 0.82, you can adjust subplot vspace, hspace and=20
margins.
Either use subplots_adjust=20
 http://matplotlib.sourceforge.net/matplotlib.pylab.html#-subplots_adjust
or from the figure window, use the new toolbar button (on the left of "save=
")=20
to adapt it conveniently.
You can also specify the standard behaviour for the session in the rc param=
s :=20
 rc('figure.subplot', wspace=3D0.3)
Regards
Nicolas
Le Vendredi 16 Septembre 2005 11:29, Zhang Le a =E9crit=A0:
> Hello,
> I want to print around 100 histograms using A4 paper. Since I do not
> know how to print on multiple pages, I simply print 6 or 9 subplots on
> call to savefig(), followed by a call to clf(), then repeat the
> process.
> The problem is, when I put more than 9 subplots into a ps file, I
> found the figures were placed near to each other in the center area,
> although there is plenty of free space to do a 4x3 placement without
> overlap.
> When I try to put 4x3=3D12 subplots on a figure, I find each
> sub-figure is very small, and there xlabel/ylabel overlap. It seems
> subplot uses a fixed size canvas for plotting.
>
> Is there a way to control the vspace and hspace between figures in a
> subplot so that in my case all 12 subplots be placed evenly on an A4
> paper?
>
> Many thanks,
> Zhang Le
>
>
> -------------------------------------------------------
> SF.Net email is sponsored by:
> Tame your development challenges with Apache's Geronimo App Server.
> Download it for free - -and be entered to win a 42" plasma tv or your very
> own Sony(tm)PSP. Click here to play: http://sourceforge.net/geronimo.php
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hello,
 I want to print around 100 histograms using A4 paper. Since I do not
know how to print on multiple pages, I simply print 6 or 9 subplots on
call to savefig(), followed by a call to clf(), then repeat the
process.
 The problem is, when I put more than 9 subplots into a ps file, I
found the figures were placed near to each other in the center area,
although there is plenty of free space to do a 4x3 placement without
overlap.
 When I try to put 4x3=3D12 subplots on a figure, I find each
sub-figure is very small, and there xlabel/ylabel overlap. It seems
subplot uses a fixed size canvas for plotting.
 Is there a way to control the vspace and hspace between figures in a
subplot so that in my case all 12 subplots be placed evenly on an A4
paper?
Many thanks,
Zhang Le

Hi! I red that plotting multiple dataset would cause matplotlib to 
automatically cycle all available colors.
This seems not to be the case with the bar() function, used to plot bar 
graphs.
If i try, eg:
a=array([1,2,3])
b=array([1,0.8,1.1])
bar(a,b)
bar(a*0.9,b*0.9)
show()
I'll get the two plots superimposed but all of the same color (blue).
I have also another problem: whichever color I set for the bars, the 
bars' border is always black. So it is impossible to have a global idea 
of the plotted data because at a little magnifing ratio every bar is 
black! How can I set the border of the bars to another color (best white)?
Thanks!

On 2005年9月15日, yi zhang apparently wrote:=20
> I am surprised to see that=20
> the plot for the first dataset also appears on the=20
> plot for the second dataset, the plot for the 1st and=20
> 2nd dataset=20
> appears on the 3rd plot, and so on.=20
Not sure, but it seems you might not be changing the active=20
figure (e.g., with figure()).
Cheers,
Alan Isaac

Hi, ALL,
I tried to use plot command within a for loop to plot
multiple set of data. I am surprised to see that 
the plot for the first dataset also appears on the
plot for the second dataset, the plot for the 1st and
2nd dataset 
appears on the 3rd plot, and so on. Could anyone give
me a hand on this issue to erase memory?
Thanks!
yi zhang
		
__________________________________ 
Yahoo! Mail - PC Magazine Editors' Choice 2005 
http://mail.yahoo.com

John,
Fonts aren't the problem in this case, it is purely the number of abcissa 
points. I have tested the output of afm/non-afm an it is negligible.
We will have spectral data soon of 250k points, so it looks like I have to do 
the slicing or decimation. The problem is that if the user uses the toolbar 
to zoom and print the output won't be the same, or can I overload the toolbar 
zoom function?
I know displaying 250k points on a screen is insane in itself, so I will have 
to do decimation.
Thanks,
Malte

>>>>> "Malte" == Malte Marquarding <Mal...@cs...> writes:
 Malte> Is there any solution/workaround for this? If you submit ps
 Malte> files to publishers they often restrict the size of the
 Malte> files.
It is correct that matplotlib doesn't clip your lines for you at the
data level, but only at the display level. So if you want less data
in your file in postscript, you need to slice it before
plotting/saving. Earlier versions of mpl had a "data clipping"
option, but is was so rarely used I removed it to simplify the code
and make it more efficient.
But data size is probably not the source of your large postscript
files. Currently matplotlib embeds freetype fonts directly into the
ps file, which typically accounts for 90-95% of the file size for
typical figures. This can explain why your file size doesn't vary
much with data size. There are ways that this can probably be made
more efficient (embed only the glyphs used rather than the whole font
file) but Paul Barrett, who wrote the freetype postscript embedding,
was unable to find a way to do this.
You can however control this font embedding feature by setting 
# use of afm fonts -- breaks mathtext but results in small files
ps.useafm : True 
in your rc file http://matplotlib.sf.net/matplotlibrc. This setting
tells matplotlib to use native postscript fonts, which will generate
*much* smaller files for typical plots. You sacrifice a couple of
things: the fonts in the GUI no longer will match the fonts in the
saved file, and the matplotlib mathtext features will no longer work
for postscript.
On a platform which supports tex/latex, you also have the option of
using latex to do text formatting, which does not trigger the
embedding freetype fonts problem that generates unreasonably large ps
files.
JDH

>>>>> "Le" == Le Zhang <zha...@gm...> writes:
 Le> the first column has a value much higher than 1.0, it's not a
 Le> probability distribution I believe.
Ahh, this appears to be a docstring bug. The plotting function
matplotlib.axes.Axes.hist docstring indicates "probability
distribution" but the underlying function matplotlib.mlab.hist which
computes the histogram correctly states that it returns a probability
*density*, ie, it integrates to one. 
Thanks for pointing this out. The docstring will be updated for the
next release.
Cheers,
JDH

>>>>> "daniele" == daniele <dad...@ya...> writes:
 daniele> hi! i've problems installing matplotlib under debian with
 daniele> packages provided at mentors.debian.net.
 daniele> I added these lines to my sources.list : deb
 daniele> http://mentors.debian.net/debian unstable main contrib
 daniele> non-free deb-src http://mentors.debian.net/debian
 daniele> unstable main contrib non-free
These are not the /etc/apt/sources.list lines we suggest in the
installation page at http://matplotlib.sf.net/installing.html in the
"Debian" section. Please follow those instructions instead.
What debian variant/version are you using?
It is annoying that the packages an mentors are stale and broken, but
I believe the packages linked to on the installing page are reasonably
current and actually work.
JDH