matplotlib-users Mailing List for matplotlib

The problem was a use of (Numeric) MA with numpy. Pointing towards 
matplotlib.numerix.ma solved the issue.

Matplotlib 0.90

Found the bug in axes3d.py

lines 513, 514
please change:
        for rs in nx.arange(0,rows,rstride):
            for cs in nx.arange(0,cols,cstride):
to:
        for rs in nx.arange(0,rows-1,rstride):
            for cs in nx.arange(0,cols-1,cstride):

Otherwise I'm getting error: "IndexError: index out of bounds"


Thanks

Hello, I'm using the rcParams to set the plot settings. It all works great! ... except I haven't been able to set the axes line color or the x tick line color. Is there something like:

Matplotlib.rcParams['xtick.linecolor]     = 'w'

Thanks,
Jeff

 
---------------------------------
Now that's room service! Choose from over 150,000 hotels 
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On Wednesday 07 March 2007 03:13:13 pm Emin.shopper Martinian.shopper wrote:
> Dear Experts,
>
> I'm having a little problem with labels in a bar chart. When I do something
> like
>
> labels = ['one','two','threeeeeeeeeee']
> pylab.bar(range(len(labels)),range(len(labels)))
> pylab.xticks(range(len(labels)),labels,rotation='vertical')
>
> the long label isn't completely visible in the figure. How do I tell pylab
> to arrange things so that all the labels are visible?
>
> Thanks,
> -Emin

Try making your figure window larger (using figure(figsize=(x,y)) or leaving 
more room between your axes and you figure boundary (either using the 
subplots_adjust gui button or axes([x_left, y_bottom, x_right, y_top])), or a 
combination of both.

Darren

Thanks for quick response!  Sample script:

--------------------------------------------------------------
#! /usr/local/bin/python
from matplotlib.backends.backend_agg import FigureCanvasAgg
from matplotlib.figure import Figure, SubplotParams
from MA import *
fig = Figure()
ax = fig.add_axes([0.1, 0.15, 0.8, 0.7])
dates = [732312.0, 732343.0, 732371.0]
data = [1., -9999., 5.]
data_masked = masked_values(data, -9999.)
ax.plot_date(dates, data_masked)
# END SCRIPT
--------------------------------------------------------------

The machine the script worked on has:
python 2.4,  numarray-1.3.3,  Numeric-23.8,  matplotlib-0.83.2

The machine it didn't work has:
python 2.4.4,  numpy-1.0.1,  Numeric-24.2,  matplotlib-0.90.0

Thanks again.
Jianfu


Quoting Pierre GM <pgm...@gm...>:

> On Wednesday 07 March 2007 14:43:45 jp...@po... wrote:
> > Anyone knows which of my package (MA, numpy, ...) might be causing the
> > conflict? I could go back to the older version (on another machine), but I
> > really like it to work in the newer version.  Any inputs would be
> > appreciated.
>
> Hello, could you provide us with:
> - the numpy version
> - the matplotlib version
> - an example of code
>
> That'd be easier for us to try and help you.
> Thx a lot in advance
>
> -------------------------------------------------------------------------
> Take Surveys. Earn Cash. Influence the Future of IT
> Join SourceForge.net's Techsay panel and you'll get the chance to share your
> opinions on IT & business topics through brief surveys-and earn cash
> http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Actually, I have other problems : I cannot save in many formats. The bmp is
deemed usueless by gimp, and ps and eps save options gives the following
error message (I am using matplotlib-0.90 on python/ipython 2.4) :
In [1]: show()
---------------------------------------------------------------------------
exceptions.ValueError                                Traceback (most recent
call  last)

/usr/lib/python2.4/site-packages/matplotlib/backends/backend_gtk.py in
save_figu re(self, button)
    630         fname = self.fileselect.get_filename_from_user()
    631         if fname:
--> 632             self.canvas.print_figure(fname)
    633
    634     def configure_subplots(self, button):

/usr/lib/python2.4/site-packages/matplotlib/backends/backend_gtkagg.py in
print_ figure(self, filename, dpi, facecolor, edgecolor, orientation,
**kwargs)
    112             try:
    113                 agg.print_figure(filename, dpi, facecolor,
edgecolor,
--> 114                                  orientation, **kwargs)
    115             except IOError, msg:
    116                 error_msg_gtk('Failed to save\nError message:
%s'%(msg,) , self)

/usr/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py in
print_fig ure(self, filename, dpi, facecolor, edgecolor, orientation,
**kwargs)
    486                 ps = self.switch_backends(FigureCanvasPS)
    487                 ps.print_figure(filename, dpi, facecolor, edgecolor,
--> 488                                 orientation, **kwargs)
    489             elif ext.find('pdf')>=0:
    490                 from backend_pdf import FigureCanvasPdf

/usr/lib/python2.4/site-packages/matplotlib/backends/backend_ps.py in
print_figu re(self, outfile, dpi, facecolor, edgecolor, orientation,
papertype)
   1073             self._pswriter = StringIO()
   1074             renderer = RendererPS(width, height, self._pswriter,
dpi=dpi )
-> 1075             self.figure.draw(renderer)
   1076
   1077             self.figure.set_facecolor(origfacecolor)

/usr/lib/python2.4/site-packages/matplotlib/figure.py in draw(self,
renderer)
    567
    568         # render the axes
--> 569         for a in self.axes: a.draw(renderer)
    570
    571         # render the figure text

/usr/lib/python2.4/site-packages/matplotlib/axes.py in draw(self, renderer,
infr ame)
   1153
   1154         for zorder, i, a in dsu:
-> 1155             a.draw(renderer)
   1156
   1157         self.transData.thaw()  # release the lazy objects

/usr/lib/python2.4/site-packages/matplotlib/axis.py in draw(self, renderer,
*arg s, **kwargs)
    623         # the actual bbox
    624         self._update_label_position(ticklabelBoxes, ticklabelBoxes2)
--> 625         self.label.draw(renderer)
    626
    627         self._update_offset_text_position(ticklabelBoxes,
ticklabelBoxes 2)

/usr/lib/python2.4/site-packages/matplotlib/text.py in draw(self, renderer)
    398
    399             return
--> 400         bbox, info = self._get_layout(renderer)
    401         trans = self.get_transform()
    402         if ismath=='TeX':

/usr/lib/python2.4/site-packages/matplotlib/text.py in _get_layout(self,
rendere r)
    243         heightt += 3  # 3 pixel pad
    244         for line in lines:
--> 245             w,h = renderer.get_text_width_height(
    246                 line, self._fontproperties, ismath=self.is_math_text
())
    247

/usr/lib/python2.4/site-packages/matplotlib/backends/backend_ps.py in
get_text_w idth_height(self, s, prop, ismath)
    264
    265         if ismath:
--> 266             width, height, pswriter = math_parse_s_ps(
    267                 s, 72, prop.get_size_in_points())
    268             return width, height

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in __call__(self, s,
dpi , fontsize, angle)
   1581         expression.parseString( s )
   1582
-> 1583         handler.expr.set_size_info(fontsize, dpi)
   1584
   1585         # set the origin once to allow w, h compution

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1197
   1198     def set_size_info(self, fontsize, dpi):
-> 1199         self.elements[0].set_size_info(self._scale*fontsize, dpi)
   1200         Element.set_size_info(self, fontsize, dpi)
   1201         #print 'set size'

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1108
   1109     def set_size_info(self, fontsize, dpi):
-> 1110         Element.set_size_info(self, fontsize, dpi)
   1111         self.metrics = Element.fonts.get_metrics(
   1112             self.font, self.sym, self.fontsize, dpi)

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1021                 element.set_size_info(0.7*self.fontsize, dpi)
   1022             else:
-> 1023                 element.set_size_info(self.fontsize, dpi)
   1024
   1025     def pady(self):

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1108
   1109     def set_size_info(self, fontsize, dpi):
-> 1110         Element.set_size_info(self, fontsize, dpi)
   1111         self.metrics = Element.fonts.get_metrics(
   1112             self.font, self.sym, self.fontsize, dpi)

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1021                 element.set_size_info(0.7*self.fontsize, dpi)
   1022             else:
-> 1023                 element.set_size_info(self.fontsize, dpi)
   1024
   1025     def pady(self):

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1108
   1109     def set_size_info(self, fontsize, dpi):
-> 1110         Element.set_size_info(self, fontsize, dpi)
   1111         self.metrics = Element.fonts.get_metrics(
   1112             self.font, self.sym, self.fontsize, dpi)

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1021                 element.set_size_info(0.7*self.fontsize, dpi)
   1022             else:
-> 1023                 element.set_size_info(self.fontsize, dpi)
   1024
   1025     def pady(self):

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1108
   1109     def set_size_info(self, fontsize, dpi):
-> 1110         Element.set_size_info(self, fontsize, dpi)
   1111         self.metrics = Element.fonts.get_metrics(
   1112             self.font, self.sym, self.fontsize, dpi)

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1021                 element.set_size_info(0.7*self.fontsize, dpi)
   1022             else:
-> 1023                 element.set_size_info(self.fontsize, dpi)
   1024
   1025     def pady(self):

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1108
   1109     def set_size_info(self, fontsize, dpi):
-> 1110         Element.set_size_info(self, fontsize, dpi)
   1111         self.metrics = Element.fonts.get_metrics(
   1112             self.font, self.sym, self.fontsize, dpi)

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1021                 element.set_size_info(0.7*self.fontsize, dpi)
   1022             else:
-> 1023                 element.set_size_info(self.fontsize, dpi)
   1024
   1025     def pady(self):

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1197
   1198     def set_size_info(self, fontsize, dpi):
-> 1199         self.elements[0].set_size_info(self._scale*fontsize, dpi)
   1200         Element.set_size_info(self, fontsize, dpi)
   1201         #print 'set size'

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1108
   1109     def set_size_info(self, fontsize, dpi):
-> 1110         Element.set_size_info(self, fontsize, dpi)
   1111         self.metrics = Element.fonts.get_metrics(
   1112             self.font, self.sym, self.fontsize, dpi)

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1021                 element.set_size_info(0.7*self.fontsize, dpi)
   1022             else:
-> 1023                 element.set_size_info(self.fontsize, dpi)
   1024
   1025     def pady(self):

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in
set_size_info(self, f ontsize, dpi)
   1109     def set_size_info(self, fontsize, dpi):
   1110         Element.set_size_info(self, fontsize, dpi)
-> 1111         self.metrics = Element.fonts.get_metrics(
   1112             self.font, self.sym, self.fontsize, dpi)
   1113

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in get_metrics(self,
fon t, sym, fontsize, dpi)
    799
    800     def get_metrics(self, font, sym, fontsize, dpi):
--> 801         basename, metrics, sym, offset  = \
    802                 self._get_info(font, sym, fontsize, dpi)
    803         return metrics

/usr/lib/python2.4/site-packages/matplotlib/mathtext.py in _get_info(self,
font,  sym, fontsize, dpi)
    748             num = 0
    749             sym = '.notdef'
--> 750             raise ValueError('unrecognized symbol "%s, %d"' % (sym,
num) )
    751         filename = os.path.join(self.basepath, basename) + '.ttf'
    752         if filename not in bakoma_fonts:

ValueError: unrecognized symbol ".notdef, 0"


On 3/7/07, johann cohen-tanugi <joh...@gm...> wrote:
>
> Hello,
> I am attaching my python script to this email. It makes three figures, and
> everything is fine (I started with matplotlib a couple of weeks ago and so
> far I love it!),
> but for the way \tilde is dealt with, which seems to be a bug :
> If I do r'$A\tilde{B}$'  the tilde is actually on the A !! If instead I do
> (like in the attached script) r'$AB\tilde$' then the tilde is on the B, but
> looks pretty ugly.
> Is there a quick fix? Do I need to choose another font?
>
> thanks for your help,
> Johann
>
>
> ------------------------------
>
>
>

Dear Experts,

I'm having a little problem with labels in a bar chart. When I do something
like

labels = ['one','two','threeeeeeeeeee']
pylab.bar(range(len(labels)),range(len(labels)))
pylab.xticks(range(len(labels)),labels,rotation='vertical')

the long label isn't completely visible in the figure. How do I tell pylab
to arrange things so that all the labels are visible?

Thanks,
-Emin

Thanks Mark for the link!

Exactly what I need.

On Wednesday 07 March 2007 14:43:45 jp...@po... wrote:
> Anyone knows which of my package (MA, numpy, ...) might be causing the
> conflict? I could go back to the older version (on another machine), but I
> really like it to work in the newer version.  Any inputs would be
> appreciated.

Hello, could you provide us with:
- the numpy version
- the matplotlib version
- an example of code 

That'd be easier for us to try and help you.
Thx a lot in advance

Hi,

My plot_dates(x, y) call, while working in python 2.4, failed in python 2.4.4. x
here is dates array and y is a masked array returned by masked_values()from MA
module. After much debugging, I found that problem occurs at ma.asarray(y)
where y is the masked array with the following message:
     ***ValueError: object __array__ method not producing an array
Anyone knows which of my package (MA, numpy, ...) might be causing the conflict?
 I could go back to the older version (on another machine), but I really like it
to work in the newer version.  Any inputs would be appreciated.

Regards,
Jianfu Pan

Hello,
I am attaching my python script to this email. It makes three figures, and
everything is fine (I started with matplotlib a couple of weeks ago and so
far I love it!),
but for the way \tilde is dealt with, which seems to be a bug :
If I do r'$A\tilde{B}$'  the tilde is actually on the A !! If instead I do
(like in the attached script) r'$AB\tilde$' then the tilde is on the B, but
looks pretty ugly.
Is there a quick fix? Do I need to choose another font?

thanks for your help,
Johann


------------------------------

Thanks, John.  That works perfectly.  Now I understand better what the tran=
sform parameter is.=0A=0ARegards,=0A=0A> -----Original Message-----=0A> Fro=
m: John Hunter [mailto:jd...@gm...] =0A> Sent: Wednesday, March 07, 2=
007 10:12 AM=0A> To: kc1...@ya...=0A> Cc: matplotlib-use=
rs...@li...=0A> Subject: Re: [Matplotlib-users] How to draw a =
straight line?=0A> =0A> =0A> On 3/7/07, kc1...@ya... =0A=
> <kc1...@ya...> wrote:=0A> =0A> > Upon working with thi=
s a little further, I discover that it =0A> works only =0A> > in full-view =
screen mode.  May be that's because xy is in =0A> pixel mode =0A> > then?  =
When I save it to a png file and then view it, the lines are =0A> > wrong.=
=0A> =0A> The default coords in the example I posted are in pixels -- =0A> =
when you save, you are probably using a different DPI (this =0A> is configu=
rable) and so the lines have slightly different =0A> positions.  You can us=
e relative coords with the =0A> "transFigure" transform=0A> =0A> =0A> from =
matplotlib.lines import Line2D=0A> from pylab import figure, show, nx=0A> =
=0A> fig =3D figure()=0A> line =3D Line2D([0.1,0.2,0.3,0.4,0.5], [0.1,0.4, =
0.35, 0.2, 0.5],=0A>               linewidth=3D4, color=3D'green', transfor=
m=3Dfig.transFigure)=0A> fig.lines.append(line)=0A> show()=0A> =0A =0A--=0A=
John Henry=0A=0A

On 3/7/07, kc1...@ya...
<kc1...@ya...> wrote:

> Upon working with this a little further, I discover that it works only in full-view screen mode.  May be that's because xy is in pixel mode then?  When I save it to a png file and then view it, the lines are wrong.

The default coords in the example I posted are in pixels -- when you
save, you are probably using a different DPI (this is configurable)
and so the lines have slightly different positions.  You can use
relative coords with the "transFigure" transform


from matplotlib.lines import Line2D
from pylab import figure, show, nx

fig = figure()
line = Line2D([0.1,0.2,0.3,0.4,0.5], [0.1,0.4, 0.35, 0.2, 0.5],
              linewidth=4, color='green', transform=fig.transFigure)
fig.lines.append(line)
show()

Upon working with this a little further, I discover that it works only in f=
ull-view screen mode.  May be that's because xy is in pixel mode then?  Whe=
n I save it to a png file and then view it, the lines are wrong.=0A =0A--=
=0AJohn Henry=0A=0A----- Original Message ----=0AFrom: "kc106_2005-matplotl=
ib...@ya..." <kc1...@ya...>=0ATo: matplotlib-users@list=
s.sourceforge.net=0ASent: Wednesday, March 7, 2007 9:40:45 AM=0ASubject: Re=
: [Matplotlib-users] How to draw a straight line?=0A=0AThanks for the answe=
r, John and Jouni.=0A=0AOkay, Line2D works.  However, it appears to work in=
 point (or is it pixels?) only.  It doesn't accept xycoords=3D"figure fract=
ion" as an option.  How can I specify xy as a fraction of the figure size?=
=0A=0AI read the transform cookbook cited by Jouni.  I am afraid I am lost =
what that does....=0A=0ARegards,=0A=0A> -----Original Message-----=0A> From=
: mat...@li... =0A> [mailto:matplotlib-us=
ers...@li...] On =0A> Behalf Of John Hunter=0A> Sent: =
Wednesday, March 07, 2007 6:48 AM=0A> To: mat...@li...=
e.net=0A> Subject: Re: [Matplotlib-users] How to draw a straight line?=0A> =
=0A> =0A> On 3/6/07, Jouni K. Sepp=E4nen <jk...@ik...> wrote:=0A> > kc106_20=
05-...@ya... writes:=0A> > > How do I draw a line going from poi=
nt A to point B on a =0A> figure (not=0A> =0A> It probably makes more sense=
 not to use Axes.plot at all, =0A> since the line is not associated with an=
 Axes=0A> =0A> from matplotlib.lines import Line2D=0A> from pylab import fi=
gure, show, nx=0A> =0A> fig =3D figure()=0A> line =3D Line2D([100,200,300,4=
00,500], [100,400, 350, 200, 500],=0A>               linewidth=3D4, color=
=3D'green')=0A> fig.lines.append(line)=0A> show()=0A> =0A> =0A> But this fe=
ature isn't used very much, and one thing that we =0A> are not currently su=
pporting (but should) is the zorder for =0A> Artists in the Figure.  So if =
you have an Axes in your plot =0A> and you want the line to go over it, you=
'll need to do =0A> something like Jouni suggested so the line will be draw=
n =0A> above the Axes.=0A> =0A> -------------------------------------------=
-------------------=0A> -----------=0A> Take Surveys. Earn Cash. Influence =
the Future of IT=0A> Join SourceForge.net's Techsay panel and you'll get th=
e =0A> chance to share your opinions on IT & business topics through =0A> b=
rief surveys-and earn cash =0A> http://www.techsay.com/default.php?page=3Dj=
oin.php&p=3Dsourceforge=0A&CID=3DDEVDEV=0A_________________________________=
______________=0AMatplotlib-users mailing list Mat...@li...=
eforge.net=0Ahttps://lists.sourceforge.net/lists/listinfo/matplotlib-users=
=0A=0A =0A--=0AJohn Henry=0A=0A=0A=0A=0A

Thanks for the answer, John and Jouni.=0A=0AOkay, Line2D works.  However, i=
t appears to work in point (or is it pixels?) only.  It doesn't accept xyco=
ords=3D"figure fraction" as an option.  How can I specify xy as a fraction =
of the figure size?=0A=0AI read the transform cookbook cited by Jouni.  I a=
m afraid I am lost what that does....=0A=0ARegards,=0A=0A> -----Original Me=
ssage-----=0A> From: mat...@li... =0A> [m=
ailto:mat...@li...] On =0A> Behalf Of Joh=
n Hunter=0A> Sent: Wednesday, March 07, 2007 6:48 AM=0A> To: matplotlib-use=
rs...@li...=0A> Subject: Re: [Matplotlib-users] How to draw a =
straight line?=0A> =0A> =0A> On 3/6/07, Jouni K. Sepp=E4nen <jk...@ik...> wr=
ote:=0A> > kc1...@ya... writes:=0A> > > How do I draw a =
line going from point A to point B on a =0A> figure (not=0A> =0A> It probab=
ly makes more sense not to use Axes.plot at all, =0A> since the line is not=
 associated with an Axes=0A> =0A> from matplotlib.lines import Line2D=0A> f=
rom pylab import figure, show, nx=0A> =0A> fig =3D figure()=0A> line =3D Li=
ne2D([100,200,300,400,500], [100,400, 350, 200, 500],=0A>               lin=
ewidth=3D4, color=3D'green')=0A> fig.lines.append(line)=0A> show()=0A> =0A>=
 =0A> But this feature isn't used very much, and one thing that we =0A> are=
 not currently supporting (but should) is the zorder for =0A> Artists in th=
e Figure.  So if you have an Axes in your plot =0A> and you want the line t=
o go over it, you'll need to do =0A> something like Jouni suggested so the =
line will be drawn =0A> above the Axes.=0A> =0A> --------------------------=
------------------------------------=0A> -----------=0A> Take Surveys. Earn=
 Cash. Influence the Future of IT=0A> Join SourceForge.net's Techsay panel =
and you'll get the =0A> chance to share your opinions on IT & business topi=
cs through =0A> brief surveys-and earn cash =0A> http://www.techsay.com/def=
ault.php?page=3Djoin.php&p=3Dsourceforge=0A&CID=3DDEVDEV=0A________________=
_______________________________=0AMatplotlib-users mailing list Matplotlib-=
us...@li...=0Ahttps://lists.sourceforge.net/lists/listinfo/=
matplotlib-users=0A=0A =0A--=0AJohn Henry=0A=0A

John Pye wrote:
> Hi all
> 
> I have got some funny behaviour here that looks like a bug with the
> spy() function. Using the latest python-matplotlib 0.87.5 package on
> Ubuntu 6.10, I try:
> 
> $ ipython -pylab
> from scipy import io
> M = io.mmread('gd.mm')
> spy(M)
> M.shape
> M.nnz
> 
> It looks great and I get the necessary number of dots on my 'spy' plot.
> Then:
> 
> spy(M.todense())
> 
> This seems to plot only half of the points. At first I thought the
> 'todense' function must be to blame, however:
> 
> D = M.todense()
> for i in range(0,231):
>     for j in range(0,231):
>         if D[i,j]:
>             print i,j,D[i,j]
> 
> gave me the right data, so it really looks like a bug with spy().
> 
> And FWIW spy2(M) fails with an error, whereas spy2(D) shows the same bug
> as spy(D).
> 
> Is this something that has been fixed in the new 0.90 release?

The two versions of spy were merged into one, with some rewriting, in 
0.90.  Please give it a try and see if the problem persists.

Eric

I was recently asked how to make a nonlinear colormap.  That is, a  
colormap that would have breaks at specified levels so that you can  
add details where they are important.  And example is a filled  
contour of topography, where it is important to show details in the  
shallow regions, but also the larger changes from the shelf to the  
deep ocean.  Desired levels are often approximately exponentially  
increasing (but it's also nice to have contour lines be on round  
numbers).

Attached is my solution to this problem, with the resulting figure.   
I am not sure this is the best way, and I'm interested to see if  
anybody has anything better to offer.

Also, what's up with the warnings?  Can I get rid of these (in a  
better way than just 'ignoring' them?)


-Rob

See the

   -

   Gridding irregularly spaced
data<http://www.scipy.org/Cookbook/Matplotlib/Gridding_irregularly_spaced_data>-
how to grid scattered data points in order to make a contour or image
   plot.

In the matplotlib cookbook.

Mark

On 3/6/07, Jouni K. Sepp=E4nen <jk...@ik...> wrote:
> kc1...@ya... writes:
> > How do I draw a line going from point A to point B on a figure (not

It probably makes more sense not to use Axes.plot at all, since the
line is not associated with an Axes

from matplotlib.lines import Line2D
from pylab import figure, show, nx

fig =3D figure()
line =3D Line2D([100,200,300,400,500], [100,400, 350, 200, 500],
              linewidth=3D4, color=3D'green')
fig.lines.append(line)
show()


But this feature isn't used very much, and one thing that we are not
currently supporting (but should) is the zorder for Artists in the
Figure.  So if you have an Axes in your plot and you want the line to
go over it, you'll need to do something like Jouni suggested so the
line will be drawn above the Axes.

Hi,

I've found no possibility to plot my experimental data with Matplotlib.

The data are coming in the form of a list of xyz vector.
[[1,2,3],[4,5,6],...]
But Matplotlib needs 2D grid, which I can't provide.

Does anybody know a solution of such a problem?

It will be pretty nice to integrate a conversion from the list format
I pointed on
into 2D grid. I guess for correct transformation will be nice to define the area
where provided data make sense.

Using arbitrary area for 2D plotting will be even better for everyone,
cause 2D rectangle grid is very particular case, which can be realized
mostly for function plotting and even not for every function.

Second question will be whether it is possible to shift the Z axis for better
data presentation of surface plot, or one has to subtract the certain
value to see
the profile more clearly.


Thanks in advance!

Thanks for great lib.

Alexey

Hi all

I have got some funny behaviour here that looks like a bug with the
spy() function. Using the latest python-matplotlib 0.87.5 package on
Ubuntu 6.10, I try:

$ ipython -pylab
from scipy import io
M = io.mmread('gd.mm')
spy(M)
M.shape
M.nnz

It looks great and I get the necessary number of dots on my 'spy' plot.
Then:

spy(M.todense())

This seems to plot only half of the points. At first I thought the
'todense' function must be to blame, however:

D = M.todense()
for i in range(0,231):
    for j in range(0,231):
        if D[i,j]:
            print i,j,D[i,j]

gave me the right data, so it really looks like a bug with spy().

And FWIW spy2(M) fails with an error, whereas spy2(D) shows the same bug
as spy(D).

Is this something that has been fixed in the new 0.90 release?

Cheers
JP

-- 
John Pye
Department of Mechanical and Manufacturing Engineering
University of New South Wales, Sydney, Australia
http://pye.dyndns.org/

kc1...@ya... writes:

> How do I draw a line going from point A to point B on a figure (not
> plot reference frame), with a particular color and style?

Give a transform=gcf().transFigure argument to plot:
http://www.scipy.org/Cookbook/Matplotlib/Transformations

If your line goes outside the axes, you will want to do something like

l=plot([...], [...], transform=gcf().transFigure)
setp(l, clip_on=False)

For some reason the clip_on keyword argument to plot does not have an
effect. This is probably a bug.

-- 
Jouni K. Seppänen
http://www.iki.fi/jks