[Matplotlib-users] circle not drawn correctly when axis is flipped

2007-12-11 Thread Matthew Auger
I'm trying to plot a circle AND flip an axis of the plot, but this leads 
to an inverted circle (diamond) being drawn. Is there any way to do this 
'neatly' (besides, for example, manually editing the axis labels or using 
a many-sided polygon to fake a circle)? Note that the circle renders 
correctly with the PS backend Example code to reproduce the problem:

import pylab as p

x = p.rand(17)
y = p.rand(17)

p.scatter(x,y)
p.gca().add_patch(p.Circle((0.5,0.5),0.2,fill=False))
p.axis([0.,1.,1.,0.])
p.gca().set_aspect('equal')
p.show()


Thanks for any help!
Matt

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Re: [Matplotlib-users] histogram question

2007-09-24 Thread Matthew Auger
I wrote the following code to do this for me...it is not entirely general 
(in the sense that it doesn't accept all kwargs beyond bins and hatch) and 
also allows me to do my own normalization But you should be able to 
use it pretty easily.


def open_hist(arr,bins=10,norm=None,hatch=None):
 import matplotlib as mpl
 import pylab

 # Get all of the scaling right by allowing pylab to do it.
 d = pylab.hist(arr,bins)
 ax = pylab.gca()
 for i in d[2]:
 ax.patches.remove(i)
 width = d[1][1]-d[1][0]

 if norm is None:
 norm = 1.
 else:
 norm = float(norm)
 # Determine the vertices of the no-line histogram.
 verts = []
 for i in range(len(d[0])):
 if i==0:
 x = d[1][i]
 y = 0.
 verts.append((x,y))
 if i==len(d[0])-1:
 x = d[1][i]
 y = d[0][i]/norm
 verts.append((x,y))
 x = d[1][i]+width
 verts.append((x,y))
 y = 0.
 verts.append((x,y))
 else:
 x = d[1][i]
 y = d[0][i]/norm
 verts.append((x,y))
 x = d[1][i]+width
 verts.append((x,y))

 # Let pylab do its thing
 p = pylab.Polygon(verts,transform=ax.transData,hatch=hatch)
 p.set_fill(0)
 ax.add_patch(p)




On Mon, 24 Sep 2007, Tommy Grav wrote:

> I need to generate a set of histograms, but would like to plot only
> the "skyline"
> of the histogram, and leave out the vertical lines where adjencent
> bars touch.
> I have looked at the docs, but nothing jumped out at me as the right
> keyword
> for this. Is this possible? and if so, how?
>
> Cheers
>   Tommy
>
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Re: [Matplotlib-users] nD plotting

2007-08-14 Thread Matthew Auger
This demonstrates the *solution*--the problem is that scatter() does not 
automagically perform color mapping for the edge and face colors. Perhaps 
this is a 'feature', but if so (or even if not) maybe the documentation 
should be clarified (I figured 'c' and 'color' were equivalent, like other 
mpl functions, but this is NOT the case for scatter; none of the 'color' 
kwargs are automatically mapped).



On Tue, 14 Aug 2007, Joe Shmoe wrote:

> Matthew Auger wrote the following on 08/13/2007 11:15 AM:
>> I'm trying to make high-dimensionality scatter plots, but I've run into a
>> couple of issues. I'm using scatter() but including both edge and face
>> color mapping; I doubt this will provide a meaningful display, but I'd
>> like to try it and see Unfortunately, passing data arrays to facecolor
>> and edgecolor does *not* map the data arrays to colors--instead I get
>> gray edges and/or faces. As a side note, none of the 'usual' keyword
>> shortcuts (ec, fc, lw for example) work with scatter().
>>
>
> Does the following demonstrate the issue?
>
> --
> import pylab
> x = [a for a in range(10)]
> y = [a**2 for a in range(10)]
> s = [a**3 for a in range(10)]
> c = x
> ec = c[:]
> ec.reverse()
>
> a = pylab.scatter(x,y,s,
>  facecolor=pylab.cm.jet(c),
>  edgecolor=pylab.cm.jet(ec))
>
> print a._facecolors
> print a._edgecolors
>
> pylab.show()
> -
>
> So we create a scatter plot with different sizes, facecolors, and
> edgecolors.  The collection clearly has the facecolors/edgecolors
> stored.  However, resulting image does not show the different
> facecolors/edgecolors.  Each circle is given the default
> facecolor/edgecolor (as axes.py indicates it should)...but It seems
> like something is not getting updated.  Comments anyone?  ...seems
> like a bug at first glance...
>
> Confirmed with version 0.90.1.
>
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[Matplotlib-users] nD plotting

2007-08-13 Thread Matthew Auger
I'm trying to make high-dimensionality scatter plots, but I've run into a 
couple of issues. I'm using scatter() but including both edge and face 
color mapping; I doubt this will provide a meaningful display, but I'd 
like to try it and see Unfortunately, passing data arrays to facecolor 
and edgecolor does *not* map the data arrays to colors--instead I get 
gray edges and/or faces. As a side note, none of the 'usual' keyword 
shortcuts (ec, fc, lw for example) work with scatter().

I was also wondering if it was possible to access 'luminence' or something 
similar to try to map another dimension onto the plot. For some data, 
(x,y,size,color,luminence) would provide very meaningful ways to view five 
continuous dimensions.

Thanks!
Matt

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[Matplotlib-users] text element mixed coordinate systems

2007-07-19 Thread Matthew Auger
Hi...I'm interested in plotting text elements with the X value in data 
coordinates and the Y value in axis coordinates (in this way I could plot 
labels at the top of the axes that would respond to zooming/panning in the 
X-direction but would *always* remain at the top of the axes as long as 
the X-coord was still in the axes, for example). Is this possible?

Also, it seems the only differences between axvline and vlines are that 
vlines can take multiple lines as input and vlines uses data coords to set 
the y limits while axvline uses axis coords. It seems simpler to have one 
function that takes an optional argument to choose whether to use data or 
axis coordinates for the y range (and maybe even for the x value...ie 
producing the same functionality that I seek above).

Thanks for any help/suggestions!
Matt

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Re: [Matplotlib-users] os x backends

2007-06-01 Thread Matthew Auger
I think we want to keep matplotlib associated with the OS X Framework 
install of python; if we installed the macports version, am I correct in 
assuming that we could just dump the resulting python modules (eg. gtk, 
tkinter, and matplotlib) into the Framework install's site-packages dir 
(or more likely my own PYTHONPATH dir) and disregard the macports distro 
of python?




On Fri, 1 Jun 2007, Jochen Küpper wrote:


On 31.05.2007, at 20:34, Jeff Whitaker wrote:


The fink matplotlib package uses GTKAgg as the default backend, and
works fine over an ssh tunnel.  The admin will have to:

0) make sure X11.app (and the X11 SDK) is installed.
1) install fink
2) run 'fink selfupdate'
3) run 'fink install matplotlib-py25' (and wait a few hours for
everything to compile).


Same holds for MacPorts -- it has matplotlib in variants tk, gtk2, and 
wxPython.


I guess in your case you would need to convince yur Admin to install 
MacPorts, or install as a normal user, which might work -- that would then 
include gtk2 or wxWidgets as necessary.


Greetings,
Jochen
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[Matplotlib-users] os x backends

2007-05-31 Thread Matthew Auger
I've recently needed to use matplotlib remotely from a 'server' running OS 
X. The server does not have GTK on it, and the server's version of Tk is 
bound to Aqua instead of X11 and I therefore can't remotely spawn a 
matplotlib GUI window.

My question: Does anyone know of an *easy* way to get a backend running 
that will allow me to push windows through ssh X11 forwarding? I don't 
have administrative access on the server, so I'm trying to find the 
simplest solution possible for the administrator to implement--presumably 
this rules out GTK

Thanks!
Matt

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Re: [Matplotlib-users] problem with saving eps and ps with GTKAgg backend (and current head of SVN)

2007-05-10 Thread Matthew Auger
I was having the same problem, but the recent xpdf thread pointed me to 
a/the solution. I was able to successfully run your script by outputting 
as eps instead of ps (which produced truncated output, as you were 
experiencing).

Matt


On Thu, 10 May 2007, Johann Cohen-Tanugi wrote:

> Well, matplotlib starts with a canvas bigger than my screen (vertically only) 
> but in the end it seems to resize it so everything fits in. I can see the 
> whole drawing and the bottom toolbar. Again, saving in png or jpg works 
> perfectly and of course I checked that gv was not cutting the graph when 
> displaying it.
> I just tried to use GTK as a backend, and ipython tells me that there are 
> "non implemented" errors on my script
> I attach it here.
> thanks!
> Johann
>
> Darren Dale wrote:
>> On Wednesday 09 May 2007 12:19:24 pm Johann Cohen-Tanugi wrote:
>> 
>>> I am creating a "big" drawing ( figure(figsize=(16,20)) ), and when I
>>> try to save it in eps/ps form, it mishandle the overall size and only
>>> save a portion of the drawing. Saving in png or jpg works fine though.
>>> Any idea?
>>> 
>> 
>> On my system, you cant create a figure that is larger than the monitor 
>> size, unless I use a non-gui backend like agg or ps. It doesnt matter 
>> whether I save an eps, png, or jpg. Also, make sure your postscript viewer 
>> is not truncating the page due to an inappropriate page size setting.
>> 
>> Darren
>>

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[Matplotlib-users] problem with raw_input and event handlers

2007-02-24 Thread Matthew Auger
Hi all...I am connecting an event handler that collects user input via 
raw_input. When using GTKAgg as my backend, this works but requires the 
user to first hit 'enter' before the raw_input prompt is displayed--this 
extra step of hitting enter is quite cumbersome! When I use the TKAgg 
backend, I get this error message:
Exception in Tkinter callback
Traceback (most recent call last):
   File "/local/lib/python2.5/lib-tk/Tkinter.py", line 1403, in __call__
 return self.func(*args)
   File 
"/local/lib/python2.5/site-packages/matplotlib/backends/backend_tkagg.py", 
line 208, in button_press_event
 FigureCanvasBase.button_press_event(self, x, y, num, guiEvent=event)
   File "/local/lib/python2.5/site-packages/matplotlib/backend_bases.py", 
line 911, in button_press_event
 func(mouseevent)
   File "tktest.py", line 15, in printpoint
 color = str(raw_input("Enter color: "))
RuntimeError: can't re-enter readline

I am using Tcl/Tk 8.4.14, python2.5, and matplotlib0.90. The test code I'm 
using follows.

Thanks for any help!
Matt

-
import pylab,scipy

def printpoint(event):
  color = str(raw_input("Enter color: "))
  text = "%d , %d" % (event.xdata,event.ydata)
  pylab.text(event.xdata,event.ydata,text,color=color)

data = scipy.arange(100.)
pylab.plot(data)
pylab.connect('button_press_event',printpoint)

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Re: [Matplotlib-users] display GUI scientific notation

2007-02-20 Thread Matthew Auger
Ah...right. That works well enough (I believe that I originally had 
editted backend_bases to circumvent the format_coord call--clearly not 
the best solution)! I don't know of a good reason to *not* use the axis 
formatting, but perhaps an rcparam could control this?

Thanks for the help Eric!

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Re: [Matplotlib-users] display GUI scientific notation

2007-02-20 Thread Matthew Auger
The GUI plots the x/y position of the cursor in data coordinates using
scientific notation including only three significant digits (ie 
x=7.24e+03, y=20.2). The scientific notation is annoying but the lack of 
significant digits (ie 7.2457e+03) makes it impossible to fully use the 
GUI for interactive analyses. It would be nice if the cursor position 
denoted by the gui used the same coordinate formatting that the current 
axes use. Thus, if my axes are set to use something like 7.2f formatting 
for values less than 1e5, the cursor coordinate would be displayed in the 
same way (and instead of x=7.24e+03,y=20.1 the gui would read 
x=7245.70,y=20.1 when the cursor is at that coordinate position).

I hope this clears things up!
Matt



On Tue, 20 Feb 2007, Darren Dale wrote:

> On Tuesday 20 February 2007 7:40:18 pm Matthew Auger wrote:
>> We are starting to use matplotlib to do some analysis of our data, but we
>> are hampered by the unfortunate choice of significant digits in the GUI.
>> I hacked the backends for 0.87.7 to display (many) more significant
>> digits and I was wondering if anyone had any better suggestions (ie that I
>> could implement directly into my code so others wouldn't need to
>> continually hack their backends). Perhaps the GUI should follow the
>> formatting of the axes? (Though this would again require a change to the
>> backend)
>
> Could you be more specific? In what ways are you currently limited, and how
> would you like matplotlib to behave?
>
> Darren
>

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[Matplotlib-users] display GUI scientific notation

2007-02-20 Thread Matthew Auger
We are starting to use matplotlib to do some analysis of our data, but we 
are hampered by the unfortunate choice of significant digits in the GUI. 
I hacked the backends for 0.87.7 to display (many) more significant 
digits and I was wondering if anyone had any better suggestions (ie that I 
could implement directly into my code so others wouldn't need to 
continually hack their backends). Perhaps the GUI should follow the 
formatting of the axes? (Though this would again require a change to the 
backend)

Thanks!
Matt

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