Hi Robert,
* Robert Hetland <hetland@...760...>
wrote:
In my ubuntu 0.3.2 and archlinux 0.4.8 version there is no
such delauny directory. There exists a sandbox directory,
but this looks like:__init__.py __init__.pyc __init__.pyo build setup.py
setup.pyc setup.pyoDo I miss any package or should I download it by hand from
http://projects.scipy.org/scipy/scipy/browser/trunk/Lib/sandboxThis is in the scipy source, not in the scipy directory installed in
python/lib. This should be downloaded by default if you download
from svn. BTW, kudos to Robert Kern for making this excellent
griding package.
I could install the package using the svn version, thanks!
But now, I am not sure, if it works. It seems for me that it
is a different problem compared to Nils. I get:
`--> python gridding_matpl.py
/usr/lib/python2.4/site-packages/matplotlib/__init__.py:719: UserWarning: Bad val "numpy" on line #33
"numerix : numpy #Numeric # Numeric or numarray"
in file "/etc/matplotlibrc"
Numerix must be Numeric or numarray
warnings.warn('Bad val "%s" on line #%d\n\t"%s"\n\tin file "%s"\n\t%s' % (val, cnt, line , fname, msg))
Traceback (most recent call last):
File "gridding_matpl.py", line 43, in ?
plot_data(xi,yi,zi)
File "gridding_matpl.py", line 16, in plot_data
pcolor(xi,yi,zim,shading='interp',cmap=cm.gray)
File "/usr/lib/python2.4/site-packages/matplotlib/pylab.py", line 1941, in pcolor
ret = gca().pcolor(*args, **kwargs)
File "/usr/lib/python2.4/site-packages/matplotlib/axes.py", line 2142, in pcolor
C = ma.asarray(C)
File "/usr/lib/python2.4/site-packages/Numeric/MA/MA.py", line 2090, in asarray
return array(data, typecode=typecode, copy=0)
File "/usr/lib/python2.4/site-packages/Numeric/MA/MA.py", line 591, in __init__
c = Numeric.array(data, tc, savespace=ss)
File "/usr/lib/python2.4/site-packages/numpy/core/ma.py", line 613, in __array__
raise MAError, \
numpy.core.ma.MAError: Cannot automatically convert masked array to numeric because data
is masked in one or more locations.
As you see, I am not 'allowed' to change 'numerix' to
'numpy' and printing the values from 'zi' with 'print zi' gives me:
[[ nan nan nan ..., nan nan
nan]
[ nan nan nan ..., nan nan
nan]
[ nan nan nan ..., nan nan
nan]
...,
[ nan nan nan ..., nan nan
nan]
[ nan nan nan ..., nan nan
nan]
[ nan nan nan ..., nan nan
nan]]
Sorry, but do you have some more suggestions?
Greetings!
Fabian
···
On Apr 11, 2006, at 11:27 AM, Robert Kern wrote: