Re: [Matplotlib-users] Qt4 on OSX

2011-03-20 Thread Michiel de Hoon 
--- On Wed, 3/16/11, Daniel Welling  wrote:
After
 playing with backends quite a bit, I have found that the best one in 
terms of speed, robustness, and features is Qt4Agg - especially on OSX, 
where the MacOSX backend is buggy and many others just don't plain 
work.  



Why do you think that the MacOSX backend is buggy?

--Michiel.







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[Matplotlib-users] python3 svn branch dead?

2011-03-20 Thread Xavier Gnata 
Hi,

It looks like the 
http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/branches/py3k/ 
in dead.
The last commit was 8months ago.

Numpy is ok with python3.1, scipy is ok, nose is ok, ipython is usable.
Ubuntu already provides python-tk for python3.x
It would be nice to port matplotlib to python3.
Is there a plan? another svn/git branch?

Xavier

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Re: [Matplotlib-users] python3 svn branch dead?

2011-03-20 Thread Darren Dale 
On Sun, Mar 20, 2011 at 2:08 PM, Xavier Gnata  wrote:
> Hi,
>
> It looks like the
> http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/branches/py3k/
> in dead.
> The last commit was 8months ago.
>
> Numpy is ok with python3.1, scipy is ok, nose is ok, ipython is usable.
> Ubuntu already provides python-tk for python3.x
> It would be nice to port matplotlib to python3.
> Is there a plan? another svn/git branch?

https://github.com/matplotlib/matplotlib-py3

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[Matplotlib-users] Changing xlabel/ylabel position

2011-03-20 Thread andes 

Hello all,

I am trying to change the position of the xlabel/ylabel with respect to the
xaxis/yaxis. Particularly, I was trying to get the "xlabel" closer to the
"xaxis" and the "ylabel" closer to the "yaxis", for which I was using the
lines indicated with '#<---' in the following sample code:
#
from pylab import *
from numpy import *
x = linspace(0,1,10)
y = x**2
plot(x, y)
xlabel('xname', position=(0.5,0.1)) #<--
ylabel('yname', position=(0.1,0.5)) #<--
#
My understanding was that "position=(xpos,ypos)" would place the label
anywhere I wanted, though there is problem. Let me take "xlabel" as an
example. I can successfully move the "xlabel" parallel to the "xaxis" by
setting the quantity "xpos" anywhere from 0 to 1 (0.5 being the center of
the "xaxis"). However, for moving the "xlabel" closer to or further from the
"xaxis" I change the value of "ypos" but it does NOT do anything, i.e. the
"xlabel" stays at the same distance from the "xaxis". The equivalent problem
occurs with the "ylabel", i.e. I can move "ylabel" parallel to the "yaxis"
but I cannot get it any closer.
I am aware that I can "create a label" and place it anywhere by using  the
text() command. Yet, it would be better if I can get the label placement
done with the xlabel/ylabel command so that I can eventually control the
label placement via rcParams.update().

Many thanks in advance.

carlo
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[Matplotlib-users] In mplot3d, how is format_zdata supposed to work? Why is sensible_format_data called?

2011-03-20 Thread Paul Leopardi 
Hi all,
I am using Matplotlib 1.0.1 and am seeing weird behaviour with mplot3d and 
ticker formatters, and I think I need to submit a patch to axes3d, but am not 
sure how much it will break, because format_zdata() and format_coord() look to 
be defined inconsistently.

When trying to rotate a plot, which was created including the following 
commands,
  ...
  ax.plot(x[0,alow:atop],x[1,alow:atop],x[2,alow:atop],c=rgb.tolist())
  ax.w_xaxis.set_major_locator(tic.LinearLocator(3))
  ax.w_xaxis.set_major_formatter(tic.FormatStrFormatter(''))
  ax.w_yaxis.set_major_locator(tic.LinearLocator(3))
  ax.w_yaxis.set_major_formatter(tic.FormatStrFormatter(''))
  ax.w_zaxis.set_major_locator(tic.LinearLocator(3))
  ax.w_zaxis.set_major_formatter(tic.FormatStrFormatter(''))
  plt.draw()
  ...

I received the following backtrace and error message:

/usr/lib64/python2.6/site-packages/matplotlib/backend_bases.pyc in 
mouse_move(self, event)
   2393 if event.inaxes and event.inaxes.get_navigate():
   2394 
-> 2395 try: s = event.inaxes.format_coord(event.xdata, 
event.ydata)
   2396 except ValueError: pass
   2397 except OverflowError: pass

/usr/lib64/python2.6/site-packages/mpl_toolkits/mplot3d/axes3d.pyc in 
format_coord(self, xd, yd)
474 
475 xs = self.format_xdata(x)
--> 476 ys = self.format_ydata(y)
477 zs = self.format_ydata(z)
478 return 'x=%s, y=%s, z=%s' % (xs, ys, zs)

/usr/lib64/python2.6/site-packages/mpl_toolkits/mplot3d/axes3d.pyc in 
format_ydata(self, y)
424 except TypeError:
425 fmt = self.w_yaxis.get_major_formatter()
--> 426 return sensible_format_data(fmt, y)
427 
428 def format_zdata(self, z):

/usr/lib64/python2.6/site-packages/mpl_toolkits/mplot3d/axes3d.pyc in 
sensible_format_data(self, value)
 26 if abs(value) > 1e4 or abs(value)<1e-3:
 27 s = '%1.4e' % value
---> 28 return self._formatSciNotation(s)
 29 else:
 30 return '%4.3f' % value

AttributeError: FormatStrFormatter instance has no attribute 
'_formatSciNotation'

---
I am using FormatStrFormatter('') to try to obtain an empty tick.

[1] It looks like sensible_format_data() assumes that self is class 
ScalarFormatter(Formatter), since this is the only ticker Formatter that has 
attribute _formatSciNotation(s). As far as I can tell, this means that 
sensible_format_data(fmt,y) should *only* be called if fmt has class 
ScalarFormatter(Formatter).


[2] In axes3d.py, I see:

def format_zdata(self, z):
"""
Return z string formatted.  This function will use the attribute
self.fmt_zdata if it is callable, else will fall back on the yaxis
major formatter
"""
try:
return self.fmt_zdata(z)
except (AttributeError, TypeError):
fmt = self.w_zaxis.get_major_formatter()
return sensible_format_data(fmt, z)

To me, it looks like the call to sensible_format_data(fmt, z) is wrong. The 
same error occurs in format_xdata() and format_ydata(). So I would like to 
submit a patch for format_xdata(), format_ydata(), format_zdata(), e.g.:

def format_zdata(self, z):
"""
Return z string formatted.  This function will use the attribute
self.fmt_zdata if it is callable, else will fall back on the zaxis
major formatter
"""
try:
return self.fmt_zdata(z)
except (AttributeError, TypeError):
fmt = self.w_zaxis.get_major_formatter()
try:
return sensible_format_data(fmt, z)
except (AttributeError, TypeError):
return format_data(fmt, z)


[3] But I am also worried about the comment "else will fall back on the yaxis 
major formatter". Shouldn't this say "the zaxis major formatter", since that 
is what the code does? Or should the code use the yaxis major formatter, since 
that is what the documentation says? The documentation 
http://matplotlib.github.com/mpl_toolkits/mplot3d/api.html agrees with the 
comment and not with the code.


[4] In def format_coord(self, xd, yd), I see

xs = self.format_xdata(x)
ys = self.format_ydata(y)
zs = self.format_ydata(z)

Why doesn't the last line say 
zs = self.format_zdata(z)
?

Best, Paul

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Re: [Matplotlib-users] python3 svn branch dead?

2011-03-20 Thread Xavier Gnata 
On 03/20/2011 07:19 PM, Darren Dale wrote:
> On Sun, Mar 20, 2011 at 2:08 PM, Xavier Gnata  wrote:
>> Hi,
>>
>> It looks like the
>> http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/branches/py3k/
>> in dead.
>> The last commit was 8months ago.
>>
>> Numpy is ok with python3.1, scipy is ok, nose is ok, ipython is usable.
>> Ubuntu already provides python-tk for python3.x
>> It would be nice to port matplotlib to python3.
>> Is there a plan? another svn/git branch?
> https://github.com/matplotlib/matplotlib-py3
Thanks!
AFAICS it works already well with the tk backend :)
Are you interested in more testing with another backend?

Xavier

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Re: [Matplotlib-users] python3 svn branch dead?

2011-03-20 Thread Darren Dale 
On Sun, Mar 20, 2011 at 8:52 PM, Xavier Gnata  wrote:
> On 03/20/2011 07:19 PM, Darren Dale wrote:
>>
>> On Sun, Mar 20, 2011 at 2:08 PM, Xavier Gnata
>>  wrote:
>>>
>>> Hi,
>>>
>>> It looks like the
>>> http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/branches/py3k/
>>> in dead.
>>> The last commit was 8months ago.
>>>
>>> Numpy is ok with python3.1, scipy is ok, nose is ok, ipython is usable.
>>> Ubuntu already provides python-tk for python3.x
>>> It would be nice to port matplotlib to python3.
>>> Is there a plan? another svn/git branch?
>>
>> https://github.com/matplotlib/matplotlib-py3
>
> Thanks!
> AFAICS it works already well with the tk backend :)
> Are you interested in more testing with another backend?

Mike D. put a wiki page together summarizing where things stand and
listing outstanding issues:
https://github.com/matplotlib/matplotlib-py3/wiki

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Re: [Matplotlib-users] Qt4 on OSX

2011-03-20 Thread Daniel Welling 
Hello, Michiel.

The OSX backend used to have a bug where you cannot type a name in the file
name text box.  Since that has been fixed, I have found a new bug: every so
often, when you go to save a file, the "save" and "cancel" button stop
responding, trapping the user in file saving limbo.  I'll have to play with
it again to figure out what triggers this.  Other than that, the OSX backend
is light and quick, which is nice.  When QT4 is working, however, I prefer
that.  Sorry I can't give you more details; I'll see if I can get a clearer
picture.

-dw

On Sun, Mar 20, 2011 at 1:31 AM, Michiel de Hoon wrote:

> --- On *Wed, 3/16/11, Daniel Welling * wrote:
>
> After playing with backends quite a bit, I have found that the best one in
> terms of speed, robustness, and features is Qt4Agg - especially on OSX,
> where the MacOSX backend is buggy and many others just don't plain work.
>
> Why do you think that the MacOSX backend is buggy?
>
> --Michiel.
>
>
>
>
>
>
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[Matplotlib-users] Plotting multiple polygons as heatmaps?

2011-03-20 Thread Rohaq 
I've been visualising some data using the pyplot fill function, and whilst
overlapping polygons do mix their colours and allow for any overlaps to be
apparent, I thought that perhaps this would look much better in a heatmap
format to better show high levels of change in the same areas.

I've tested this using the histogram2d function in numpy using various
online examples, and whilst experiments with random data looked nice enough,
each set of results data is basically a series of 0's and 1's: In a heatmap
using the same code, this results in an incredibly long (since there's about
65000 results) heatmap that's only a pixel or two in height. Also, I can't
seem to use the tools to zoom in and navigate around this, which is pretty
much a requirement given the large number of data rows.

Does anyone know if there's a way to convert a series of polygon objects
into a decent looking heatmap? Any help is appreciated!

Cheers!

*Rohaq*
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