matplotlib-users Mailing List for matplotlib

Hi Philippe,
phi...@ho... wrote:
> fig = Figure()
> canvas = FigureCanvas(fig)
> ax = fig.add_subplot(111)
Here's the problem. The first two numbers of the argument specify the number of 
rows/cols and all calls of add_subplot of a figure must be euqal in these 
values. So the two plots should be created like this:
p1 = fig.add_subplot(211)
p2 = fig.add_subplot(212)
Regards, Christian

In case you didn't notice the licence change of the Bakoma Fonts:
The fonts are now freely distributable even for commercial usage 
since 15-Jun-2005
Regards
Carl Kleffner
See:
ftp://tug.ctan.org/pub/tex-archive/fonts/cm/ps-type1/bakoma.zip
http://www.ctan.org/tex-archive/fonts/cm/ps-type1/bakoma/LICENCE
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Hi,
I have a problem using subplot:
if I do:
subplot(2,1,1)
plot([0,1],[0,1])
subplot(2,1,2)
plot([0,1],[0,0.8])
then the first plot is ok, but the second one never shows up (everything 
keeps being posted in the first subplot).
It only works if I am removing the commas :
subplot(211)
plot([0,1],[0,1])
subplot(212)
plot([0,1],[0,0.8])
but of course then I cannot use more than 10 Numplots.... and many of my 
scripts fail...
Any hint of what may go wrong there?
Thanks!!
Eric
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Hi list,
I need to realize with matplotlib OO same figure as in the tutorial: 
Working with multiple figure and axe.
The problem is the two subplot are overlaping on the middle of the figure.
There is no margin between the first subplot and the second.
And the vertical axe of the second subplot is overlaping the vertical 
axe of the first subplot.
How can i solve out this problem?
Thanks a lot,
Philippe Collet
Here is my sample code.
#!/usr/bin/env python
"""
A pure OO (look Ma, no pylab!) example using the agg backend
"""
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
 
fig = Figure()
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111)
ax.plot([1,2,3])
ax.set_title("hi mom")
ax.grid(True)
ax.set_xlabel("time")
ax.set_ylabel("volts")
bx = fig.add_subplot(211)
ax.plot([3,4,5])
canvas.print_figure("test2")

On 12 Jul 2005, at 19:27, John Hunter wrote:
>>>>>> "Brice" == Brice Thurin <B.P...@ci...> writes:
>
> Brice> Dear All, I am new to matplotlib and I was wondering if
> Brice> there is any functions like imcrop in matlab which allow to
> Brice> interactively select the zone of the image.
>
> I do not currently have matlab installed on my system. Could you
> describe what imcrop does. Not knowing, I'll venture and answer
When the function is called, it displays the original image. Then, the 
user can select a box with a mouse. As a result the function return the 
top left corner coordinate of the box and the size of the box.
>
> 1) you can use the zoom-to-rectangle feature on the toolbar to zoom
> to the rectangle of interest. Equivalently, you can set the axis
> xlim and ylim to view only part of the rectangle
Once I have zoomed to the area of interest, how do I recover the 
information of my box ( dimensions, coordinates). Is there a way to get 
these information and then use them to slice the array to extract the 
region of interest.
>
> 2) you can extract the region of interest from you numerix array
> using array slicing before passing it to matplotlib for plotting.
>
> JDH
>
>
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Brice

Mark Bakker wrote:
> In several of the matplotlib examples, I encounter statements using
> the built-in Python zip function. The really cool use is shown below.
> 
>>>>a = [(0,0),(1,2),(4,3)]
>>>>zip(*a)
> 
> [(0, 1, 4), (0, 2, 3)]
> 
> Now this use of '*a' as argument does not seem to be documented anywhere.
> How does it work? Why do you need the * ? Probably really simple, I
> just don't understand.
http://docs.python.org/tut/node6.html#SECTION006740000000000000000
-- 
Robert Kern
rk...@uc...
"In the fields of hell where the grass grows high
 Are the graves of dreams allowed to die."
 -- Richard Harter

In several of the matplotlib examples, I encounter statements using
the built-in Python zip function. The really cool use is shown below.
>>> a =3D [(0,0),(1,2),(4,3)]
>>> zip(*a)
[(0, 1, 4), (0, 2, 3)]
Now this use of '*a' as argument does not seem to be documented anywhere.
How does it work? Why do you need the * ? Probably really simple, I
just don't understand.
Thanks for any help,
Mark

Hi
Just to be clear at this point. I get this mixing issue both on Linux 
(GTKAgg, mpl 0.81) and Win (TkAgg, mpl 0.82) in the .eps outputs as well 
as in the interactive plots.
cheers,
steve
Steve Schmerler wrote:
> Hi
> 
> Hmmm now that you mention antialiasing ... I turned it off in my 
> .matplotlibrc but my plots (GTKAgg on Linux) are still antialiased. I 
> had the same problem on Win (TkAgg) but didn't bother too much. I 
> remember that there was a discussion before about this. I'm using mpl 
> 0.81. Would upgrading fix this issue?
> 
> cheers,
> steve
> 
> Robert Kern wrote:
> 
>> Steve Schmerler wrote:
>>
>>> Hi
>>>
>>> Well this is kinda strange. I checked with gsview (on Win) and ggv and
>>> gv on Linux. The 'mixed' points (4 and 5) _are_ purple/dark red while
>>> the others are blue and (light)red.
>>
>>
>>
>> I blame antialiasing. Using Preview.app on OS X, when zoomed out, yes, 
>> I can see that the middle points appear to be somewhat darker than the 
>> "pure" red ones. Zooming in, however, I see little difference except 
>> for a bit of fuzz. Using "DigitalColor Meter.app", I can verify that 
>> the color of the middle crosses is indeed pure red with some purplish 
>> fuzz at the edges. When zoomed out enough, all of the pixels are 
>> antialiased fuzz and so it mixes both the top color and the bottom.
>>
>> IOW, it's an issue with how the display program handles antialiasing 
>> of overlaid colors, not the output generated by matplotlib.
>>
> 
> 
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