matplotlib-users Mailing List for matplotlib

Hi,
when I wrote a script like:
import numarray
image = numarray.ones((30,30))
from pylab import *
matshow(image)
show()
I obtain an error message:
Traceback (most recent call last):
 File "test.py", line 6, in ?
 matshow(image)
 File "/usr/lib/python2.4/site-packages/matplotlib/pylab.py", line 
1647, in matshow
 w,h = figaspect(arr)
 File "/usr/lib/python2.4/site-packages/matplotlib/figure.py", line 
480, in figaspect
 nr,nc = arr.shape[:2]
AttributeError: 'module' object has no attribute 'shape'
if I'm call pylab before to create the numarray array it's ok:
from pylab import *
import numarray
image = numarray.ones((30,30))
matshow(image)
show()
just to let you know.
N.

Dear all,
Perhaps this idea appears strange to some, but in my field (atmospheric
turbulence) it is a common problem: I want to plot data with a log-axis (say
the x-axis) with both positive and negative numbers for x. This implies that I
want to zoom in on small values of |x|. The way to do this, is to define a
'gap' around zero in which no data exist, or are ignored. So if my x-data would
range
from -10 to -0.01 and from 0.01 to 10, the x-axis would look like:
|-------|-------|-------|-------|-------|------|
-10 -1 -0.1 +/-0.01 0.1 1 10
There are few (if any) plotting programs that can do this, but it would make
life a lot easier for me. By now I have hacked my own pylab script to do this,
but it has many limitations. To do it properly, it should be done on a somewhat
lower level in the code, I suppose. The idea is to split the data into either 2
(semilogx and semilogy) or 4 quadrants (loglog) and to plot the data in each
quadrant seperately. If the lower limit of the x-axis (or y-axis) is taken
positive, a normal semilogx (or semilogy) plot is recovered.
More people that need/like this? Any volunteers who know what they are doing (in
terms of low-level pylab coding)?
Regards,
Arnold
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Wageningen University e-mail: Arnold.Moene at wur.nl
Duivendaal 2 url: http://www.met.wau.nl
6701 AP Wageningen
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>>>>> "David" == David Fugate <df...@uc...> writes:
 John> add_base_flags(module) before the call to
 John> ext_modules.append(module) in both the Numeric and numarray
 John> sections. Ditto for the build_contour function in
 John> setupext.py. 
 David> BTW A new identical problem appeared which was easily fixed
 David> by doing the same thing to the build_contour function.
Which is why I said "Ditto for the build_contour function in
setupext.py" <wink>
Glad it helped -- thanks for the report and persevering!
JDH

John Hunter wrote:
> No, it looks like we are doing something wrong. I can't believe it
> has not been reported in the umpteen mpl releases that have had this
> problem....
> 
> build_transforms needs to call
> 
> add_base_flags(module)
> 
> before the call to 
> 
> ext_modules.append(module)
> 
> in both the Numeric and numarray sections. Ditto for the
> build_contour function in setupext.py.
> 
> Hope this helps! Let me know...
> 
> JDH
Yes, this fixed it! Thank you.
David
BTW
A new identical problem appeared which was easily fixed by doing the 
same thing to the build_contour function.
-- 
There are 10 types of people in the world. Those that understand binary 
and those that don't.

>>>>> "kristen" == kristen kaasbjerg <co...@ya...> writes:
 kristen> Hi again Working with legend I've encountered another
 kristen> problem. Changing the fontsize in a legend seems to be a
 kristen> little harder than first assumed. Is there an easy way to
 kristen> do this??
http://matplotlib.sf.net/examples/legend_demo.py shows you how to
customize the legend text font size. The examples directory is really
an indispensable tool in learning matplotlib. If you are using the
source distribution, the examples directory is included. If you are
using a binary distribution, a zip file is found here
http://matplotlib.sourceforge.net/matplotlib_examples_0.72.zip
The relevant code fragment from legend_demo.py is
 ltext = leg.get_texts() # all the text.Text instance in the legend
 set(ltext, fontsize='small') # the legend text fontsize
JDH

kristen kaasbjerg wrote:
> Hi again
> Working with legend I've encountered another problem.
> Changing the fontsize in a legend seems to be a little
> harder than first assumed. Is there an easy way to do
> this??
 From the mailing list a couple of days ago...
You need to pass in a FontProperties instance that specifies the size you want:
prop = FontProperties(size="x-small')
size - Either an absolute value of xx-small, x-small, small,
 medium, large, x-large, xx-large; or a relative value
 of smaller or larger; or an absolute font size, e.g. 12;
 or scalable
i.e. lgnd = ax.legend((lines, labels, prop = FontProperties(size="x-small'), 
..other_params_as_required)
Robert
PS This looks like something to add to my 'Getting Started' document....

Hi again
Working with legend I've encountered another problem.
Changing the fontsize in a legend seems to be a little
harder than first assumed. Is there an easy way to do
this??
Kristen
	
		
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>>>>> "David" == David Fugate <df...@uc...> writes:
 David> Just looking at the output it appears as if the changes
 David> made to basedir (i.e., 'linux2') in setupext.py are not
 David> having any sort of effect (hence the error message about
 David> numarray/arrayobject.h not existing). Is there something
 David> blatantly wrong I'm doing? Any help would be greatly
 David> appreciated.
No, it looks like we are doing something wrong. I can't believe it
has not been reported in the umpteen mpl releases that have had this
problem....
build_transforms needs to call
 add_base_flags(module)
before the call to 
 ext_modules.append(module)
in both the Numeric and numarray sections. Ditto for the
build_contour function in setupext.py.
Hope this helps! Let me know...
JDH