matplotlib-users Mailing List for matplotlib (Page 14)

I just fixed this in cvs. Try updating again, but if non-dev checkout is 
lagging, you can change line 320 in setupext.py to read:
o.tk_lib = os.path.join(str(tk.getvar('tk_library')), '../')
On Thursday 02 February 2006 11:49, Nils Wagner wrote:
> python setup.py build results in
>
> snip
>
> g++: L: No such file or directory
> g++: u: No such file or directory
> g++: s: No such file or directory
> g++: r: No such file or directory
> g++: l: No such file or directory
> g++: i: No such file or directory
> g++: b: No such file or directory
> g++: t: No such file or directory
> g++: k: No such file or directory
> g++: 8: No such file or directory
> g++: 4: No such file or directory
> g++: -E required when input is from standard input
> g++: L: No such file or directory
> g++: u: No such file or directory
> g++: s: No such file or directory
> g++: r: No such file or directory
> g++: l: No such file or directory
> g++: i: No such file or directory
> g++: b: No such file or directory
> g++: t: No such file or directory
> g++: k: No such file or directory
> g++: 8: No such file or directory
> g++: 4: No such file or directory
> g++: -E required when input is from standard input
> error: Command "g++ -pthread -shared
> build/temp.linux-i686-2.4/src/_tkagg.o
> build/temp.linux-i686-2.4/CXX/cxx_extensions.o
> build/temp.linux-i686-2.4/CXX/cxxsupport.o
> build/temp.linux-i686-2.4/CXX/IndirectPythonInterface.o
> build/temp.linux-i686-2.4/CXX/cxxextensions.o -L/usr/lib/tcl8.4/../ - L
> / u s r / l i b / t k 8 . 4 / . . / -L/usr/local/lib -L/usr/lib
> -L/usr/local/lib -L/usr/lib -ltk8.4 -ltcl8.4 -lpng -lz -lstdc++ -lm
> -lfreetype -lz -lstdc++ -lm -o
> build/lib.linux-i686-2.4/matplotlib/backends/_tkagg.so" failed with exit
> status 1
>
>
>
>
>
>
> -------------------------------------------------------
> This SF.net email is sponsored by: Splunk Inc. Do you grep through log
> files for problems? Stop! Download the new AJAX search engine that makes
> searching your log files as easy as surfing the web. DOWNLOAD SPLUNK!
> http://sel.as-us.falkag.net/sel?cmd=lnk&kid=103432&bid=230486&dat=121642
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
-- 
Darren S. Dale, Ph.D.
Cornell High Energy Synchrotron Source
Cornell University
200L Wilson Lab
Rt. 366 & Pine Tree Road
Ithaca, NY 14853
dd...@co...
office: (607) 255-9894
fax: (607) 255-9001

python setup.py build results in
snip
g++: L: No such file or directory
g++: u: No such file or directory
g++: s: No such file or directory
g++: r: No such file or directory
g++: l: No such file or directory
g++: i: No such file or directory
g++: b: No such file or directory
g++: t: No such file or directory
g++: k: No such file or directory
g++: 8: No such file or directory
g++: 4: No such file or directory
g++: -E required when input is from standard input
g++: L: No such file or directory
g++: u: No such file or directory
g++: s: No such file or directory
g++: r: No such file or directory
g++: l: No such file or directory
g++: i: No such file or directory
g++: b: No such file or directory
g++: t: No such file or directory
g++: k: No such file or directory
g++: 8: No such file or directory
g++: 4: No such file or directory
g++: -E required when input is from standard input
error: Command "g++ -pthread -shared
build/temp.linux-i686-2.4/src/_tkagg.o
build/temp.linux-i686-2.4/CXX/cxx_extensions.o
build/temp.linux-i686-2.4/CXX/cxxsupport.o
build/temp.linux-i686-2.4/CXX/IndirectPythonInterface.o
build/temp.linux-i686-2.4/CXX/cxxextensions.o -L/usr/lib/tcl8.4/../ - L
/ u s r / l i b / t k 8 . 4 / . . / -L/usr/local/lib -L/usr/lib
-L/usr/local/lib -L/usr/lib -ltk8.4 -ltcl8.4 -lpng -lz -lstdc++ -lm
-lfreetype -lz -lstdc++ -lm -o
build/lib.linux-i686-2.4/matplotlib/backends/_tkagg.so" failed with exit
status 1
 

It appears that the recent CVS versions *require* verbose.level and 
verbose.fileo to be set in the rc file, as per the lines (923-930) 
matplotlib/__init__.py:
 if i == 1:
 key = 'verbose.level'
 val, line, cnt = rc_temp.pop(key)
 elif i == 2:
 key = 'verbose.fileo'
 val, line, cnt = rc_temp.pop(key)
 else:
 key, (val, line, cnt) = rc_temp.popitem()
What's wrong with letting the default values slide through?
-Rob.
-----
Rob Hetland, Assistant Professor
Dept of Oceanography, Texas A&M University
p: 979-458-0096, f: 979-845-6331
e: he...@ta..., w: http://pong.tamu.edu

Hi all,
I cannot use subscripts within legend.
See subscript.py for details.
How can I fix this problem ?
>>> matplotlib.__version__
'0.86.2'
Nils

Paul,
This one has tripped up a lot of people. It is caused by a version 
mismatch between numpy and mpl; you need a more recent mpl to work with 
up-to-date numpy. CVS should be OK, and I think 0.86.2 is also OK.
Eric
Paul Ray wrote:
> Hi,
> 
> On two different computers, I'm now unable to use matplotlib because it 
> gets an exception.
> I'm using Mac OS X 10.4.4, with fink installations of all packages 
> (including python2.4):
> In [7]: pylab.matplotlib.__version__
> Out[7]: '0.86.1'
> 
> In [16]: numpy.__version__
> Out[16]: '0.9.4'
> 
> In [10]: os.uname()
> Out[10]:
> ('Darwin',
> 'Fezzik.local',
> '8.4.0',
> 'Darwin Kernel Version 8.4.0: Tue Jan 3 18:22:10 PST 2006; 
> root:xnu-792.6.56.obj~1/RELEASE_PPC',
> 'Power Macintosh')
> 
> I'm using numpy in my matplotlibrc.
> 
> Here is the error:
[........]
> /sw/lib/python2.4/site-packages/matplotlib/lines.py in 
> unmasked_index_ranges(mask, compressed)
> 67
> 68 '''
> ---> 69 m = concatenate(((1,), mask, (1,)))
> 70 indices = arange(len(mask) + 1)
> 71 mdif = m[1:] - m[:-1]
> 
> ValueError: arrays must have same number of dimensions
> 
> Any ideas?

Hi,
On two different computers, I'm now unable to use matplotlib because 
it gets an exception.
I'm using Mac OS X 10.4.4, with fink installations of all packages 
(including python2.4):
In [7]: pylab.matplotlib.__version__
Out[7]: '0.86.1'
In [16]: numpy.__version__
Out[16]: '0.9.4'
In [10]: os.uname()
Out[10]:
('Darwin',
'Fezzik.local',
'8.4.0',
'Darwin Kernel Version 8.4.0: Tue Jan 3 18:22:10 PST 2006; 
root:xnu-792.6.56.obj~1/RELEASE_PPC',
'Power Macintosh')
I'm using numpy in my matplotlibrc.
Here is the error:
In [14]: pylab.plot()
/sw/lib/python2.4/site-packages/matplotlib/backends/backend_gtk.py: 
991: GtkWarning: Could not find the icon 'gnome-fs-home'. The 
'hicolor' theme
was not found either, perhaps you need to install it.
You can get a copy from:
 http://freedesktop.org/Software/icon-theme/releases
 buttons)
------------------------------------------------------------------------ 
---
exceptions.ValueError Traceback (most 
recent call last)
/Users/paulr/src/LWDA/progs/util/<console>
/sw/lib/python2.4/site-packages/matplotlib/pylab.py in plot(*args, 
**kwargs)
 2053 def plot(*args, **kwargs):
 2054 # allow callers to override the hold state by passing 
hold=True|False
-> 2055 b = ishold()
 2056 h = popd(kwargs, 'hold', None)
 2057 if h is not None:
/sw/lib/python2.4/site-packages/matplotlib/pylab.py in ishold()
 937 Return the hold status of the current axes
 938 """
--> 939 return gca().ishold()
 940
 941 def isinteractive():
/sw/lib/python2.4/site-packages/matplotlib/pylab.py in gca(**kwargs)
 888 """
 889
--> 890 ax = gcf().gca(**kwargs)
 891 return ax
 892
/sw/lib/python2.4/site-packages/matplotlib/figure.py in gca(self, 
**kwargs)
 613 ax = self._axstack()
 614 if ax is not None: return ax
--> 615 return self.add_subplot(111, **kwargs)
 616
 617 def sca(self, a):
/sw/lib/python2.4/site-packages/matplotlib/figure.py in add_subplot 
(self, *args, **kwargs)
 463 a = PolarSubplot(self, *args, **kwargs)
 464 else:
--> 465 a = Subplot(self, *args, **kwargs)
 466
 467
/sw/lib/python2.4/site-packages/matplotlib/axes.py in __init__(self, 
fig, *args, **kwargs)
 3972 def __init__(self, fig, *args, **kwargs):
 3973 SubplotBase.__init__(self, fig, *args)
-> 3974 Axes.__init__(self, fig, [self.figLeft, self.figBottom,
 3975 self.figW, self.figH], 
**kwargs)
 3976
/sw/lib/python2.4/site-packages/matplotlib/axes.py in __init__(self, 
fig, rect, axisbg, frameon, sharex, sharey, label, **kwargs)
 329
 330 # this call may differ for non-sep axes, eg polar
--> 331 self._init_axis()
 332
 333
/sw/lib/python2.4/site-packages/matplotlib/axes.py in _init_axis(self)
 358 def _init_axis(self):
 359 "move this out of __init__ because non-separable 
axes don't use it"
--> 360 self.xaxis = XAxis(self)
 361 self.yaxis = YAxis(self)
 362
/sw/lib/python2.4/site-packages/matplotlib/axis.py in __init__(self, 
axes)
 499 self.minorTicks = []
 500
--> 501 self.cla()
 502
 503 def cla(self):
/sw/lib/python2.4/site-packages/matplotlib/axis.py in cla(self)
 522 popall(self.minorTicks)
 523
--> 524 self.majorTicks.extend([self._get_tick(major=True) 
for i in range(1)])
 525 self.minorTicks.extend([self._get_tick(major=False) 
for i in range(1)])
 526
/sw/lib/python2.4/site-packages/matplotlib/axis.py in _get_tick(self, 
major)
 832
 833 def _get_tick(self, major):
--> 834 return XTick(self.axes, 0, '', major=major)
 835
 836 def _get_label(self):
/sw/lib/python2.4/site-packages/matplotlib/axis.py in __init__(self, 
axes, loc, label, size, gridOn, tick1On, tick2On, label1On, label2On, 
major)
 98
 99
--> 100 self.tick1line = self._get_tick1line(loc)
 101 self.tick2line = self._get_tick2line(loc)
 102 self.gridline = self._get_gridline(loc)
/sw/lib/python2.4/site-packages/matplotlib/axis.py in _get_tick1line 
(self, loc)
 274 antialiased=False,
 275 marker = self._xtickmarkers[0],
--> 276 markersize=self._size,
 277 )
 278
/sw/lib/python2.4/site-packages/matplotlib/lines.py in __init__(self, 
xdata, ydata, linewidth, linestyle, color, marker, markersize, 
markeredgewidth, markeredgecolor, markerfacecolor, antialiased, 
dash_capstyle, solid_capstyle, dash_joinstyle, solid_joinstyle, 
**kwargs)
 209 self.verticalOffset = None
 210
--> 211 self.set_data(xdata, ydata)
 212
 213 if not self._lineStyles.has_key(linestyle):
/sw/lib/python2.4/site-packages/matplotlib/lines.py in set_data(self, 
*args)
 280 x = ma.masked_array(x, mask=mask).compressed()
 281 y = ma.masked_array(y, mask=mask).compressed()
--> 282 self._segments = unmasked_index_ranges(mask)
 283 else:
 284 self._segments = None
/sw/lib/python2.4/site-packages/matplotlib/lines.py in 
unmasked_index_ranges(mask, compressed)
 67
 68 '''
---> 69 m = concatenate(((1,), mask, (1,)))
 70 indices = arange(len(mask) + 1)
 71 mdif = m[1:] - m[:-1]
ValueError: arrays must have same number of dimensions
Any ideas?
Thanks,
-- Paul
--
Dr. Paul S. Ray E-mail: Pau...@nr...
Naval Research Laboratory WWW : http://xweb.nrl.navy.mil/ 
personnel/paulr/
Code 7655 Phone : (202) 404-1619
Washington, DC 20375 AIM : NRLPSR

The only thing I can guess is not everything was cleared out from your
previous numarray installation. Maybe a conflict?! Try just deleting
"/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packa=
ges/numarray/"
completely and reinstalling.
On 2/1/06, Samuel M. Smith <sm...@sa...> wrote:
>
> I had installed numarray 1.1.1 and Numeric 23.7 using package
> installers from http://pythonmac.org/packages/
> I downloaded numarray 1.5 tarball and unpacked it. I used the
> following command pointing to the include directory
> in the 1.5 distribution.
>
> > CPPFLAGS=3D"-I/foo/bar/" sudo python setup.py build
>
> My previous error went away but I go another similar error for
> Numeric.
>
> gcc -fno-strict-aliasing -Wno-long-double -no-cpp-precomp -mno-fused-
> madd -fno-common -dynamic -DNDEBUG -g -O3 -Wall -Wstrict-prototypes -
> I/install/python/macpython/python2.4.2/numerical/numarray-1.5.0/
> include -Isrc -I. -I/usr/local/include -I/usr/include -I. -I/System/
> Library/Frameworks/Python.framework/Versions/2.3/include/python2.3 -c
> src/_nc_transforms.cpp -o build/temp.darwin-8.4.0-Power_Macintosh-2.3/
> src/_nc_transforms.o -DNUMERIC=3D1
> src/_nc_transforms.cpp:10:40: Numeric/arrayobject.h: No such file or
> directory
>
>
> so I download Numeric 24.2 and decided to go ahead and install it.
> Which was successful
> While I was at it I decided to install numarray 1.5 which installed
> without complaining but when I tried to import it to test
>
> I get the following error
>
> >>> import numarray
> Traceback (most recent call last):
> File "<stdin>", line 1, in ?
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/site-packages/numarray/__init__.py", line 42, in ?
> from numarrayall import *
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/site-packages/numarray/numarrayall.py", line 2, in ?
> from generic import *
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/site-packages/numarray/generic.py", line 1036, in ?
> import numarraycore as _nc
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/site-packages/numarray/numarraycore.py", line 1472, in ?
> import ufunc
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/site-packages/numarray/ufunc.py", line 1658, in ?
> _choose =3D _ChooseUFunc()
> TypeError: function takes exactly 5 arguments (0 given)
>
>
>
> I then tried doing a python setup.py clean in the matplotlib
> distribution directory and the clean failed because
> it also tries to import numarray.
>
> So I guess now I have to fix numarray. Any Ideas what is broken?
>
>
>

I had installed numarray 1.1.1 and Numeric 23.7 using package 
installers from http://pythonmac.org/packages/
I downloaded numarray 1.5 tarball and unpacked it. I used the 
following command pointing to the include directory
in the 1.5 distribution.
> CPPFLAGS="-I/foo/bar/" sudo python setup.py build
 My previous error went away but I go another similar error for 
Numeric.
gcc -fno-strict-aliasing -Wno-long-double -no-cpp-precomp -mno-fused- 
madd -fno-common -dynamic -DNDEBUG -g -O3 -Wall -Wstrict-prototypes - 
I/install/python/macpython/python2.4.2/numerical/numarray-1.5.0/ 
include -Isrc -I. -I/usr/local/include -I/usr/include -I. -I/System/ 
Library/Frameworks/Python.framework/Versions/2.3/include/python2.3 -c 
src/_nc_transforms.cpp -o build/temp.darwin-8.4.0-Power_Macintosh-2.3/ 
src/_nc_transforms.o -DNUMERIC=1
src/_nc_transforms.cpp:10:40: Numeric/arrayobject.h: No such file or 
directory
so I download Numeric 24.2 and decided to go ahead and install it. 
Which was successful
While I was at it I decided to install numarray 1.5 which installed 
without complaining but when I tried to import it to test
I get the following error
 >>> import numarray
Traceback (most recent call last):
 File "<stdin>", line 1, in ?
 File "/Library/Frameworks/Python.framework/Versions/2.4/lib/ 
python2.4/site-packages/numarray/__init__.py", line 42, in ?
 from numarrayall import *
 File "/Library/Frameworks/Python.framework/Versions/2.4/lib/ 
python2.4/site-packages/numarray/numarrayall.py", line 2, in ?
 from generic import *
 File "/Library/Frameworks/Python.framework/Versions/2.4/lib/ 
python2.4/site-packages/numarray/generic.py", line 1036, in ?
 import numarraycore as _nc
 File "/Library/Frameworks/Python.framework/Versions/2.4/lib/ 
python2.4/site-packages/numarray/numarraycore.py", line 1472, in ?
 import ufunc
 File "/Library/Frameworks/Python.framework/Versions/2.4/lib/ 
python2.4/site-packages/numarray/ufunc.py", line 1658, in ?
 _choose = _ChooseUFunc()
TypeError: function takes exactly 5 arguments (0 given)
I then tried doing a python setup.py clean in the matplotlib 
distribution directory and the clean failed because
it also tries to import numarray.
So I guess now I have to fix numarray. Any Ideas what is broken?

Christopher Barker wrote:
> I guess it may be time for me to join matplotlib-devel.
Chris,
I should have copied the message to you and/or left it on 
matplotlib-users instead of switching it to devel--but I thought I would 
try to keep down the traffic on users. My mistake, in this case; I'm 
sorry. But yes, there are advantages in joining devel, too, so I 
encourage it.
> 
> Eric Firing wrote:
> 
>> Eric> If this strategy sounds reasonable to you,
> 
> 
> What was that strategy?
The remainder of this message is what I sent to John and mpl-devel:
Chris Barker found a problem: plotting in an axes, then calling 
axes.cla, then adding a collection, then calling axes.plot, results in 
the original plot's dataLim being used as the starting point for the 
update. I think the problems are:
1) axes.add_line updates the data limits, but add_collection does not;
2) axes.has_data is simply looking to see whether a line or collection 
has been added, but is using that as an indication of whether the data 
limits have been set; this is invalid because add_collection does not 
set the limits.
I suggest two changes to address the problem:
1) Use a flag instead of the have_data() method to keep track of whether 
data limit updating needs to start from scratch. Then axes.cla() can 
set the flag, and the update_datalim* functions can clear it.
2) Add an optional flag to add_collection, telling it to call the 
collection's get_verts method and use the result to update the data 
limits. This would make it easier to use collections in user-level 
code, without imposing any performance penalty for functions like 
contour that handle the data limit updating in a more efficient way.
If this strategy sounds reasonable to you, I can go ahead and implement it.
Eric

I made some improvements to the usetex option over the last few days in order 
to make font selection fit seemlessly with the rest of Matplotlib. The usetex 
option will now respect the serif, sans-serif, monospace, and cursive rc 
settings. Usetex looks until it finds a latex-compatible font, or defaults to 
computer modern. Proper font support with plainTeX is more difficult, and 
everyone seems to use the latex backend anyway, so I am dropping support of 
the tex engine. With these changes, the font.latex.package and the 
text.tex.engine rc settings are no longer needed, and should be removed from 
ones personal matplotlibrc file.
Here are the currently supported latex fonts:
- serif: Times, Palatino, Bookman, New Century Schoolbook, Charter, Computer 
Modern Roman (Times and Palatino have their own math fonts, the others 
default to computer modern math fonts)
- sans-serif: Helvetica, Avant Garde, Computer Modern Sans Serif (I added 
Avant Garde to the matplotlibrc.template)
- monospace: Courier, Computer Modern Typewriter
- cursive: Zapf Chancery
The font.family setting is respected and should be used to switch from one 
family to another. Cursive fonts are supported with latex, but fantasy fonts 
are not (raises a warning and defaults to serif). If you use the usetex 
option, please kick the tires and let me know how it goes.
Darren

I guess it may be time for me to join matplotlib-devel.
Eric Firing wrote:
> Eric> If this strategy sounds reasonable to you,
What was that strategy?
> From: John Hunter <jdh...@ac...>
> Just a comment for now. If you look at ax.add_collection, it does not
> update the datalim. This is by design but it should be documented.
I suspected as much. Could we add an optional flag, so that the user 
could ask that the datalim to be updated?
> minx, maxx = (0, len(rangeSegments))
> miny = min([low for low in lows if low !=-1])
> maxy = max([high for high in highs if high != -1])
> 
> corners = (minx, miny), (maxx, maxy)
> ax.update_datalim(corners)
> ax.autoscale_view()
I had figured I might need to do that, but it seems a shame to have to 
have a bunch of people writing that code all over the place.
Another option might be to make code like this a method of the 
LineCollection class, and then you could do:
ax.add_collection(MyLineCollection)
ax.update_datalim(MyLineCollection.CalcLimits())
A question, though. The segments are in different data units, rather 
that axes units. In fact they are then shifter by the "offsets", so the 
above code wouldn't do it. That might be a good argument for making this 
calculation be a method of the LineCollection class. That method could 
be overridden, as appropriate, for a subclass. Then the 
axes.add_collection code could call that method to update the datalim. 
For performance purposes, you could make it no-op by default.
One more thought:
I suspect that in many cases a LineCollection will hold a set of 
segments that are all the same size. In my example, every segment is 5 
points long, so I could store it in a NX5X2 array, and make the above 
calculation much faster.
> As for how the datalim handling works, the syntax is
Thanks for the overview.
My last question:
Is there a reason that axes.cla() doesn't reset datalim?
thanks,
-Chris

 The numarray headers are installed along with numarray. Try
locating the file "numarray/arrayobject.h" on your computer. MPL is
finding the numarray module, so they must be around somewhere.
 Say you find it in "/foo/bar/numarray/arrayobject.h". Try
running this command:
CPPFLAGS=3D"-I/foo/bar/" sudo python setup.py build
If you can't find the file, then tell us how you installed numarray.
- Charlie
On 2/1/06, Samuel M. Smith <sm...@sa...> wrote:
> I am trying to build 0.86.2 on OS X 10.4.4 with framework build of
> python 2.4.2
> I have default gcc set to 3.3
>
> when I run sudo python setup.py build I get the following error
>
> gcc -fno-strict-aliasing -Wno-long-double -no-cpp-precomp -mno-fused-
> madd -fno-common -dynamic -DNDEBUG -g -O3 -Wall -Wstrict-prototypes -
> Isrc -I. -I/usr/local/include -I/usr/include -I. -I/System/Library/
> Frameworks/Python.framework/Versions/2.3/include/python2.3 -c src/
> _na_transforms.cpp -o build/temp.darwin-8.4.0-Power_Macintosh-2.3/src/
> _na_transforms.o -DNUMARRAY=3D1
> src/_na_transforms.cpp:7:37: numarray/arrayobject.h: No such file or
> directory
> src/_na_transforms.cpp: In member function `Py::Object
> Bbox::update_numerix(const Py::Tuple&)':
> src/_na_transforms.cpp:455: error: `PyArrayObject' undeclared (first
> use this
> function)
> src/_na_transforms.cpp:455: error: (Each undeclared identifier is
> reported only
> once for each function it appears in.)
> src/_na_transforms.cpp:455: error: `x' undeclared (first use this
> function)
> src/_na_transforms.cpp:455: error: parse error before `)' token
> src/_na_transforms.cpp:461: error: `y' undeclared (first use this
> function)
> src/_na_transforms.cpp:461: error: parse error before `)' token
> src/_na_transforms.cpp: In member function `Py::Object
> Transformation::numerix_x_y(const Py::Tuple&, const Py::Dict&)':
> src/_na_transforms.cpp:848: error: parse error before `)' token
> src/_na_transforms.cpp:854: error: parse error before `)' token
> src/_na_transforms.cpp:879: error: `retx' undeclared (first use this
> function)
> src/_na_transforms.cpp:879: error: parse error before `)' token
> src/_na_transforms.cpp:886: error: `rety' undeclared (first use this
> function)
> src/_na_transforms.cpp:886: error: parse error before `)' token
> src/_na_transforms.cpp: In member function `Py::Object
> Transformation::nonlinear_only_numerix(const Py::Tuple&, const
> Py::Dict&)':
> src/_na_transforms.cpp:933: error: parse error before `)' token
> src/_na_transforms.cpp:939: error: parse error before `)' token
> src/_na_transforms.cpp:955: error: parse error before `)' token
> src/_na_transforms.cpp:962: error: parse error before `)' token
> src/_na_transforms.cpp:970: error: `retmask' undeclared (first use this
> function)
> src/_na_transforms.cpp:973: error: parse error before `)' token
> src/_na_transforms.cpp: In function `void init_na_transforms()':
> src/_na_transforms.cpp:2068: error: `import_array' undeclared (first
> use this
> function)
> error: command 'gcc' failed with exit status 1
>
> It looks like its expecting there to be a source distribution of
> numarray some place
>
> Anyone know what I need to do to fix this?
>
>
>

I am trying to build 0.86.2 on OS X 10.4.4 with framework build of 
python 2.4.2
I have default gcc set to 3.3
when I run sudo python setup.py build I get the following error
gcc -fno-strict-aliasing -Wno-long-double -no-cpp-precomp -mno-fused- 
madd -fno-common -dynamic -DNDEBUG -g -O3 -Wall -Wstrict-prototypes - 
Isrc -I. -I/usr/local/include -I/usr/include -I. -I/System/Library/ 
Frameworks/Python.framework/Versions/2.3/include/python2.3 -c src/ 
_na_transforms.cpp -o build/temp.darwin-8.4.0-Power_Macintosh-2.3/src/ 
_na_transforms.o -DNUMARRAY=1
src/_na_transforms.cpp:7:37: numarray/arrayobject.h: No such file or 
directory
src/_na_transforms.cpp: In member function `Py::Object
 Bbox::update_numerix(const Py::Tuple&)':
src/_na_transforms.cpp:455: error: `PyArrayObject' undeclared (first 
use this
 function)
src/_na_transforms.cpp:455: error: (Each undeclared identifier is 
reported only
 once for each function it appears in.)
src/_na_transforms.cpp:455: error: `x' undeclared (first use this 
function)
src/_na_transforms.cpp:455: error: parse error before `)' token
src/_na_transforms.cpp:461: error: `y' undeclared (first use this 
function)
src/_na_transforms.cpp:461: error: parse error before `)' token
src/_na_transforms.cpp: In member function `Py::Object
 Transformation::numerix_x_y(const Py::Tuple&, const Py::Dict&)':
src/_na_transforms.cpp:848: error: parse error before `)' token
src/_na_transforms.cpp:854: error: parse error before `)' token
src/_na_transforms.cpp:879: error: `retx' undeclared (first use this 
function)
src/_na_transforms.cpp:879: error: parse error before `)' token
src/_na_transforms.cpp:886: error: `rety' undeclared (first use this 
function)
src/_na_transforms.cpp:886: error: parse error before `)' token
src/_na_transforms.cpp: In member function `Py::Object
 Transformation::nonlinear_only_numerix(const Py::Tuple&, const 
Py::Dict&)':
src/_na_transforms.cpp:933: error: parse error before `)' token
src/_na_transforms.cpp:939: error: parse error before `)' token
src/_na_transforms.cpp:955: error: parse error before `)' token
src/_na_transforms.cpp:962: error: parse error before `)' token
src/_na_transforms.cpp:970: error: `retmask' undeclared (first use this
 function)
src/_na_transforms.cpp:973: error: parse error before `)' token
src/_na_transforms.cpp: In function `void init_na_transforms()':
src/_na_transforms.cpp:2068: error: `import_array' undeclared (first 
use this
 function)
error: command 'gcc' failed with exit status 1
It looks like its expecting there to be a source distribution of 
numarray some place
Anyone know what I need to do to fix this?

I figured it out myself
self.axes.set_title(title)
Sorry to bother you all...
mc
At 12:22 PM 2/1/2006, mike cantor wrote:
>Hi,
>
>I embed a matplotlib canvas in a wxPython dialog. This works great and 
>the title of the figure is displayed as the window title for the dialog, 
>which is dandy. Here is a stripped down version of the code (minus 
>navigation toolbar etc)
>
>class PlotDialog(wx.Dialog):
> def __init__(
> self, parent, ID, title, MakeFigArgs, size=wx.DefaultSize, 
> pos=wx.DefaultPosition, style=wx.DEFAULT_DIALOG_STYLE):
>
> # Precreation code
> pre = wx.PreDialog()
> pre.SetExtraStyle(wx.DIALOG_EX_CONTEXTHELP)
> pre.Create(parent, ID, title, pos, size, style)
> self.PostCreate(pre)
>
> self.canvas = FigureCanvas(self, -1, self.figure)
> self.figure = Figure(figsize=(5,4), dpi=100)
> self.axes = self.figure.add_subplot(111)
> self.axes.plot([1,2,3], [1,2,3]
>
>However, I also want the title to appear in the plot itself, so that when 
>I issue:
>
>self.canvas.Copy_to_Clipboard(event=evt).
>
>I have a title with my plot. Simply adding
>
>title("The Title")
>
>Does nothing.
>
>Any tips?
>Thanks -mike

Hi,
I embed a matplotlib canvas in a wxPython dialog. This works great and the 
title of the figure is displayed as the window title for the dialog, which 
is dandy. Here is a stripped down version of the code (minus navigation 
toolbar etc)
class PlotDialog(wx.Dialog):
 def __init__(
 self, parent, ID, title, MakeFigArgs, size=wx.DefaultSize, 
pos=wx.DefaultPosition, style=wx.DEFAULT_DIALOG_STYLE):
 # Precreation code
 pre = wx.PreDialog()
 pre.SetExtraStyle(wx.DIALOG_EX_CONTEXTHELP)
 pre.Create(parent, ID, title, pos, size, style)
 self.PostCreate(pre)
 self.canvas = FigureCanvas(self, -1, self.figure)
 self.figure = Figure(figsize=(5,4), dpi=100)
 self.axes = self.figure.add_subplot(111)
 self.axes.plot([1,2,3], [1,2,3]
However, I also want the title to appear in the plot itself, so that when I 
issue:
self.canvas.Copy_to_Clipboard(event=evt).
I have a title with my plot. Simply adding
title("The Title")
Does nothing.
Any tips?
Thanks -mike

Chris,
I will forward to matplotlib-users a message from John including text 
that he had intended to send to that list and to you, and that answers 
some of your questions. I hope to have the problem fixed in cvs this 
weekend.
Eric
Christopher Barker wrote:
[.......]
> 
> I think the relevant questions are these:
> 
> Is there a reason that add_collection doesn't reset the dataLim?
> 
> Is there a reason that axes.cla() doesn't reset the dataLim?
> 
> The fix will depend on those answers. I'd like to see both done.
> 
> John?
> 
> Thanks for your help, Eric.
> 
> -Chris
> 
> 

Eric Firing wrote:
> Attached is a slight modification of your test case, with annotations.
Thanks Eric, that does work. I'd rather the Z-order be set with the 
LineCollection under the plot, but it doesn't matter much, and I can 
probably manipulate that by hand if need be.
> think it does what you want--sort of. But I agree that there is a bug. 
> After chasing references backwards and forwards through axes.py, 
> axis.py, ticker.py, and _transforms.cpp, I don't quite understand how 
> everything works,
You got father than me.
> Workarounds: either set the dataLim explicitly, or add the collection 
> after the plot command (as in the attached modified script). The latter 
> only works if the plot command sets the dataLim to be large enough to 
> cover everything in the collection.
Yes, I may need to set dataLim myself after all.
> I would like to make a genuine bugfix, but I do not yet understand all 
> this well enough to do so right now. Maybe John will chime in with a 
> good solution.
I think the relevant questions are these:
Is there a reason that add_collection doesn't reset the dataLim?
Is there a reason that axes.cla() doesn't reset the dataLim?
The fix will depend on those answers. I'd like to see both done.
John?
Thanks for your help, Eric.
-Chris
-- 
Christopher Barker, Ph.D.
Oceanographer
 		
NOAA/OR&R/HAZMAT (206) 526-6959 voice
7600 Sand Point Way NE (206) 526-6329 fax
Seattle, WA 98115 (206) 526-6317 main reception
Chr...@no...

>>>>> "Panos" == Panos Kassianidis <pk...@in...> writes:
 Panos> Hello everybody, I would like to use a solid line to plot a
 Panos> pulse. In other words let's say I have a number of zeros
 Panos> and ones and I would like to connect them like this with
 Panos> solid lines:
use the plot kwarg steps, eg, 
 plot(range(10), range(10), linestyle='steps')
JDH

I've run the two-scale demo, but there is a big problem when I zoom into 
it (in the gtk gui): Only one of the 2 scales (the left one) changes.
Is there a way to select/zoom/move the second scale?
I changed the date_demo.py to display 2 stock quotes, but it is actualy 
unusable because of this.
Any help welcome
Paul Barrett wrote:
> Hello Andrea,
>
> Have you looked at the file, two_scales.py, in the examples 
> directory? This example would appear to show you how to create plots 
> with two or more scales per axis.
>
> -- Paul
>
> On 1/28/06, *Andrea Gavana* <and...@ti... 
> <mailto:and...@ti...>> wrote:
>
> Hello NG,
>
> please excuse my poor knowledge of matplotlib. I am searching
> for a way
> to do plots with multiple Y axes: for those of you that use
> Matlab, I am
> looking for something like plotyy and, if it's possible, also
> something more
> complicated like plotyyy or ploty4 (available at Matlab Central File
> Exchange) that allow you to put a third and fourth Y-axis on a
> plot, like in
> this screenshot:
>
> http://www.mathworks.de/matlabcentral/fileexchange/util.do?objectId=4425&imgName=plot4y.png
> <http://www.mathworks.de/matlabcentral/fileexchange/util.do?objectId=4425&imgName=plot4y.png>
>
> Is something like this possible with matplotlib? Is there anyone
> that has a
> small example on how to do it?
>
> Thank you in advance for every suggestion.
>
> Andrea.
>
> "Imagination Is The Only Weapon In The War Against Reality."
> http://xoomer.virgilio.it/infinity77
> <http://xoomer.virgilio.it/infinity77>
>
>
>
> -- 
> Paul Barrett, PhD Johns Hopkins University
> Assoc. Research Scientist Dept of Physics and Astronomy
> Phone: 410-516-5190 Baltimore, MD 21218 

Hi folks,
I frequently need to make a vector plot that shows (dx,dy) displacements 
from a set of (x,y) points. "Quiver" doesn't seem to do quite what I 
want, although maybe I just can't figure out how to use it.
 Anyhow here is a function I wrote to do what I want using the pylab 
interface, in case it can be cleaned up and incorporated into matplotlib 
for general use.
def vectorplot(x,y,dx,dy,scale=1):
 """ Generate a vector plot with lines emanating from the (x,y)
 points that represent the (dx,dy) displacement at each point.
 @param scale: Multiply (dx,dy) by this factor to make the displacements
 more visible
 @return: (cell_handle, displacement_handle) which can be used
 to pass to "legend"
 """
 u=x+scale*dx
 v=y+scale*dy
 #loop through to make the plots
 for i in range(len(x)):
 dhandle=plot([x[i],u[i]],[y[i],v[i]],'o-b',
 label='shifts [* %4.1f]'%scale)
 #then overplot the origin points in a different color
 chandle=plot(x,y,'sk',label='zone')
 return (chandle,dhandle)
cheers,
Vicki Laidler

Thanks, Charlie. I tried 0.9.5.2024 and it works fine.
Cheers
St=E9fan
On Wed, Feb 01, 2006 at 10:44:59AM -0500, Charlie Moad wrote:
> MPL 0.86.2 is tested against numpy 0.9.4, so could please test with
> that release and let us know if you still have problems?
>=20
> Thanks,
> Charlie
>=20
> On 2/1/06, Stefan van der Walt <st...@su...> wrote:
> > Hi
> >
> > I am trying to get matplotlib working with numpy. When trying a
> > simple plot, I get the following error:

MPL 0.86.2 is tested against numpy 0.9.4, so could please test with
that release and let us know if you still have problems?
Thanks,
 Charlie
On 2/1/06, Stefan van der Walt <st...@su...> wrote:
> Hi
>
> I am trying to get matplotlib working with numpy. When trying a
> simple plot, I get the following error:
>
> /home/stefan/lib/python2.4/site-packages/matplotlib/lines.py in set_data(=
self, *args)
> 274 my =3D ma.getmask(y)
> 275 mask =3D ma.mask_or(mx, my)
> --> 276 if mask is not ma.nomask:
> 277 x =3D ma.masked_array(x, mask=3Dmask).compressed()
> 278 y =3D ma.masked_array(y, mask=3Dmask).compressed()
>
> AttributeError: 'module' object has no attribute 'nomask'
>
> In [29]: matplotlib.__version__
> Out[29]: '0.86.2'
>
> In [30]: numpy.__version__
> Out[30]: '0.9.3.1881'
>
> I suppose ma.nomask does not exist in numpy. What is the best
> workaround?
>
> Thanks for your time.
> St=E9fan
>
>
> -------------------------------------------------------
> This SF.net email is sponsored by: Splunk Inc. Do you grep through log fi=
les
> for problems? Stop! Download the new AJAX search engine that makes
> searching your log files as easy as surfing the web. DOWNLOAD SPLUNK!
> http://sel.as-us.falkag.net/sel?cmdlnk&kid=103432&bid#0486&dat=121642
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi
I am trying to get matplotlib working with numpy. When trying a
simple plot, I get the following error:
/home/stefan/lib/python2.4/site-packages/matplotlib/lines.py in set_data(=
self, *args)
 274 my =3D ma.getmask(y)
 275 mask =3D ma.mask_or(mx, my)
--> 276 if mask is not ma.nomask:
 277 x =3D ma.masked_array(x, mask=3Dmask).compressed()
 278 y =3D ma.masked_array(y, mask=3Dmask).compressed()
AttributeError: 'module' object has no attribute 'nomask'
In [29]: matplotlib.__version__
Out[29]: '0.86.2'
In [30]: numpy.__version__
Out[30]: '0.9.3.1881'
I suppose ma.nomask does not exist in numpy. What is the best
workaround?
Thanks for your time.
St=E9fan

>>>>> "Vidar" == Vidar Gundersen <vid...@37...> writes:
 Vidar> i was wondering a bit about how to treat missing data when
 Vidar> loading or saving data with pylab. numarray has a module
 Vidar> for representing NaN, Inf (and i guess numpy have it). but
 Vidar> what about reading files with missing data, or NaNs?
The latest matplotlib allows you to pass converter functions into load
so you could write a custom one along the lines of 
def float_or_nan(x):
 if x=='None': return nan
 else: return float(x)
You could write something similar for save
 Vidar> another note on pylab.load(): wouldn't it be fairly easy to
 Vidar> detect the delimiter symbol automatically?
Probably -- let's see it :-)
JDH

i was wondering a bit about how to treat missing data
when loading or saving data with pylab.
numarray has a module for representing NaN, Inf (and
i guess numpy have it). but what about reading files with
missing data, or NaNs?
another note on pylab.load(): wouldn't it be fairly easy
to detect the delimiter symbol automatically?