Re: animations with subplot

Hello darkside,

I set up a little program hoping it offers a solution to your problem.

Matthias
>-------------------------------------------------------------------------------
from numpy.random import uniform 
import pylab 

Nt = 20
x,y = uniform(size=(100,Nt+1)),uniform(size=(100,Nt+1))

pylab.ion()
ax1 = pylab.subplot(211)
pylab.ylabel('Posiciones')
ax2 = pylab.subplot(212)
pylab.ylabel('Momentos')
line1,= ax1.plot(x[:,0], x[:,1])
line2,= ax2.plot(y[:,0], y[:,1])
pylab.draw()
pylab.draw()
# alternative you could use
"""
pylab.axes(ax1)
line1,= pylab.plot(x[:,0], x[:,1])
pylab.axes(ax2)
line2,= pylab.plot(y[:,0], y[:,1])
pylab.draw()
"""
for k in pylab.arange(Nt):

Axes label

I found an example on the web that illustrates the question I posted earlier about axes.  See:

http://www.scipy.org/Cookbook/Matplotlib/MulticoloredLine

Notice that the y-axis goes from (-1.1, 1.1) but the first label is at -1.0.   I really don't like that because
when I read values off the graph, I have to keep reminding myself that the origin is at -1.1.   This may seem
trivial but if you have to think, walk, chew gums at the same time you're reading the graph, it gets annoying
- particularly if you have to read lots of these graphs.

Is there a way to force the label to start at -1.1 instead of -1.0?

Thanks,

--
John Henry

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imshow y axis question

I am using imshow to visualise matrices.  When I use align='upper' 
(default), the origin is still displayed in the lower left corner on the 
axes - i.e. the y-axis is wrong.  The data is plotted correctly with the 
origin in the upper left corner.

Seems to be a bug?

Cheers,
Suresh

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Re: imshow y axis question

Suresh Pillai wrote:
> I am using imshow to visualise matrices.  When I use align='upper' 
> (default), the origin is still displayed in the lower left corner on the 
> axes - i.e. the y-axis is wrong.  The data is plotted correctly with the 
> origin in the upper left corner.
> 
> Seems to be a bug?

No, this is just the way it was designed and has always been.  You can 
use the "extent" kwarg to control the axes:

       * origin is either upper or lower, which indicates where the [0,0]
         index of the array is in the upper left or lower left corner of
         the axes.  If None, default to rc image.origin
       * extent is a data xmin, xmax, ymin, ymax for making image plots
         registered with data plots.  Default is the image dimensions
         in pixels

See the code in axes.spy() for an example of how to get what you want 
using imshow and the extent kwarg; or use pylab.matshow instead of 
pylab.imshow.  (Probably there should be an axes.matshow convenience 
method, with pylab.matshow as a wrapper that autogenerates a figure if 
needed. But at the moment there isn't.)

Eric

> 
> Cheers,
> Suresh
> 

Re: imshow y axis question

Great, matshow() works for my requirements.

Although, I must comment that its placement of tickbars seems 
inappropriate for a matrix visualisation.  For example, for the following 
simple example:

import pylab

matrix = pylab.array([[1,2,3],[4,5,6],[1,1,4]])
pylab.matshow(matrix, cmap=pylab.cm.gray)
pylab.show()

tick marks and labels are produced for [0.5,1.5,2.5] in addition to the 
appropriate integral ones.  It's obviously not an issue for larger 
matrices.

Further, I would think a setting like align='center' in pylab.bar() would 
be appropriate.  Any simple way of doing this without manually setting the 
ticks and labels (ironically using forced *.5 ticks)?

I guess I should code and submit it myself. :)

Thanks very much,
Suresh

On Thu, 1 Mar 2007, Eric Firing wrote:

> Suresh Pillai wrote:
>>  I am using imshow to visualise matrices.  When I use align='upper'
>>  (default), the origin is still displayed in the lower left corner on the

Re: imshow y axis question

Suresh Pillai wrote:
> Great, matshow() works for my requirements.
> 
> Although, I must comment that its placement of tickbars seems 
> inappropriate for a matrix visualisation.  For example, for the following 
> simple example:
> 
> import pylab
> 
> matrix = pylab.array([[1,2,3],[4,5,6],[1,1,4]])
> pylab.matshow(matrix, cmap=pylab.cm.gray)
> pylab.show()
> 
> tick marks and labels are produced for [0.5,1.5,2.5] in addition to the 
> appropriate integral ones.  It's obviously not an issue for larger 
> matrices.

I agree, and this is a problem with spy also.  If I remember, I will fix 
it.  It is only a minor annoyance, so it is low priority, though.

There is a difference in the way the axes are labeled between spy and 
matshow, and I would like to change matshow to agree with spy, unless 
there is an outcry to the contrary.  Specifically, I think the integer 
axis ticks should land in the middle of a given row or column, not on 
the edge.  To see what I mean, compare

xx = zeros((3,3))
xx[1,1] = 1
spy(xx, marker='s')
to

install matplotlib 0.90 on Linux

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Re: invalidrestore - PDF

kc106_2005-matplotlib@... writes:

> a) 2.3 doesn't have the sorted function - it uses a .sort()
> function. So, I had to change line 487 from:

I think this was taken care of by Nicolas Grilly's recent patch.

> b) No update() function (line 396)
>         for (name, value) in self.markers.items():
>             xobjects[name]=value[0]

Applied in svn, thanks!

> After that, I got my pdf file. However, if I print the PDF directly,
> works fine but when I create an object link to the PDF and print
> from inside Word, the printout is degraded (kind of fuzzy with
> texts).

That sounds to me like a bug in Word (as does the invalidrestore
thing).

--

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

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Plot data from custom class

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Re: How to make figures transparent by default, leave foreground color to pdflatex?

Anand Patil <anand@...> writes:

> - How can I make my figures and axes transparent by default?

Here's one idea:

------------------------------------------------------------------------
In [1]:fig=figure(frameon=False)

In [2]:ax = fig.add_subplot(111, frameon=False)

In [3]:ax.plot([3,1,4,1,5,9,2])
Out[3]:[<matplotlib.lines.Line2D instance at 0x2c98b70>]

In [4]:show()

In [5]:savefig('foo.pdf')
------------------------------------------------------------------------

And here's another:

------------------------------------------------------------------------
In [20]:fig=figure()

In [21]:fig.figurePatch.set_alpha(0.1)

In [22]:ax=fig.add_subplot(111) 

In [23]:ax.axesPatch.set_alpha(0.1)

In [24]:ax.plot([3,1,4,1,5,9,2])
Out[24]:[<matplotlib.lines.Line2D instance at 0x16f7e490>]

In [25]:show()

In [26]:savefig('foo.pdf')
------------------------------------------------------------------------

Does either of these do what you are looking for?

> - When I inserted some of my old pdf plots into a latex presentation, to 
> my surprise their foreground color had changed from black to the color 
> of the text in the presentation. Is there a way to signal to Matplotlib 
> that I would like this to happen? Can I make this behavior default?

Were the old pdf plots produced with the pdf backend, or with the eps
backend and then converted to pdf with some external utility?

I'm guessing that what happened was that the pdf file didn't specify
any color, and when it was included, it inherited the graphics state
from the including pdf file. I'm not quite sure if that's supposed to
happen when including files, although I can of course see how it could
be considered a useful feature.

Certainly there is no such intended feature in matplotlib. I think I
could support it for monochromatic plots quite easily, but it would be
much trickier if you want part of the plot in the inherited color and
another part in a specified color.

--

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

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