matplotlib-users Mailing List for matplotlib

Move the %la inside:
xlabel(r'\textbf{Residue }%s'%la,fontsize=3D18)

On 3/22/06, Juergen Haas <jh...@gw...> wrote:
> Dear, All,
>
>
> I am using matplotlib's rc to label x axes:
> rc('text', usetex=3DTrue)
> pl.xlabel(r'\textbf{Residue}')
> I would like to use something more dynamic like:
>
> la=3D'5';pl.xlabel(r'\textbf{Residue }%s',fontsize=3D18) %la
>
> But i get:
> TypeError: unsupported operand type(s) for %: 'instance' and 'str'
> if la is float and int the error is reported accordingly..
>
>
> How would be the best way to go about it?
>
> with eval I was aiming at resolving the problem but so far I failed...
>
> best regards
> Juergen
>
>
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The Changelog that comes with basemap-0.8.2 indicates that there is a 
'huge' speed increase for numpy (not Numeric or numarray).
Is this relative, i.e. the new  numpy version is much faster that the 
previous or is the increase absolute i.e. numpy is much faster than the 
other two.

I have been dragging my feet switching over to numpy but a big speed up 
in basemap might increase my urgency. I do not use basemap because on 
my old hardware it is so slow as to be unusable.

Thanks for any info.

--Jim

Dear, All,


I am using matplotlib's rc to label x axes:
rc('text', usetex=True)
pl.xlabel(r'\textbf{Residue}')
I would like to use something more dynamic like:

la='5';pl.xlabel(r'\textbf{Residue }%s',fontsize=18) %la

But i get:
TypeError: unsupported operand type(s) for %: 'instance' and 'str'
if la is float and int the error is reported accordingly..


How would be the best way to go about it?

with eval I was aiming at resolving the problem but so far I failed...

best regards
Juergen

>>>>> "Tom" == Tom Loredo <lo...@as...> writes:

    Tom> Hi folks,

    Tom> I've just installed MacPy 2.4.1, the latest numpy & scipy,
    Tom> and mpl-0.87.2 on a colleague's Panther PowerBook.  numpy &
    Tom> scipy installed fine and passed all tests.  For mpl, we
    Tom> installed zlib from source, and initially installed Freetype2
    Tom> and libpng via the i-Installer.  mpl built and installed
    Tom> fine, but gave a bus error when trying to plot ("import
    Tom> matplotlib" would work fine, but "import pylab" would give
    Tom> the error).

It would be useful to create a test script

  from pylab import figure, show
  fig = figure()
  ax.plot((1,2,3))
  fig.savefig('test')
  show()

and run it under different backends

  > python myscript.py -dPS
  > python myscript.py -dAgg
  > python myscript.py -dTkAgg

to see if all have the bus error.  If we could isolate it to TkAgg or
*Agg, that would be informative.

Also, try installing Numeric and test to see if it is numpy specific

  > python myscript.py --Numeric
  > python myscript.py --numpy

JDH

Hi folks,

I've just installed MacPy 2.4.1, the latest numpy & scipy, and
mpl-0.87.2 on a colleague's Panther PowerBook.  numpy & scipy 
installed fine and passed all tests.  For mpl, we installed
zlib from source, and initially installed Freetype2 and libpng
via the i-Installer.  mpl built and installed fine, but gave
a bus error when trying to plot ("import matplotlib" would
work fine, but "import pylab" would give the error).

The .matplotlib/matplotlibrc file we're using does have TkAgg
and numpy specified, and we've verified that Tkinter is
working via a "Hello World" test script.

Suspecting one of the libraries, we then installed Freetype2
and libpng from source.  We deleted all the mpl stuff in
site-packages and the mpl build directory, and built and
installed mpl again from scratch.  We still get a bus error
from pylab.  I am stumped as to what to try next.  I've
copied verbose output below; I hope someone can offer us
some clues.

Thanks,
Tom Loredo

$ pythonw simple_plot.py --verbose-debug-annoying
matplotlib data path 
/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib/mpl-data
$HOME=/Users/bill
CONFIGDIR=/Users/bill/.matplotlib
loaded rc file /Users/bill/.matplotlib/matplotlibrc
matplotlib version 0.87.2
verbose.level debug-annoying
interactive is False
platform is darwin
loaded modules: ['pylab', '_bisect', '__future__', 'copy_reg', 
'sre_compile', 'distutils', 'itertools', '_sre', '__main__', 'site', 
'__builtin__', 'datetime', 'matplotlib.re', 'matplotlib.tempfile', 
'encodings', 'pytz.datetime', 'shutil', 'distutils.string', 
'dateutil', 'matplotlib.datetime', 'posixpath', '_random', 
'tempfile', 'errno', 'matplotlib.warnings', 'binascii', 
'encodings.codecs', 'sre_constants', 're', 'matplotlib.md5', 
'os.path', 'pytz.sys', '_codecs', 'distutils.sysconfig', 
'encodings.exceptions', 'pytz.sets', 'math', 'fcntl', 'stat', 
'zipimport', 'string', 'warnings', 'encodings.types', 'UserDict', 
'encodings.ascii', 'matplotlib.sys', 'matplotlib', 'distutils.os', 
'sys', 'pytz.tzinfo', 'pytz', 'matplotlib.__future__', 'codecs', 
'distutils.re', 'matplotlib.pytz', 'types', 'md5', 
'matplotlib.dateutil', 'matplotlib.os', 'thread', 'sre', 'bisect', 
'matplotlib.distutils', 'signal', 'distutils.errors', 'random', 
'linecache', 'matplotlib.shutil', 'posix', 'encodings.aliases', 
'sets', 'exceptions', 'sre_parse', 'pytz.bisect', 'distutils.sys', 
'os', 'strop']
numerix numpy 0.9.6
Bus error



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Darren Dale wrote:
> Hi Antonio,
>=20
> This is a blast from the past, it's a limitation of AGG:
> http://sourceforge.net/mailarchive/message.php?msg_id=3D9175398
>=20
> Darren

Thanks for replying, Darren. Actually, while searching for an answer to m=
y=20
problem a few days ago, I read the thread that you point out. It's just t=
hat,=20
since such thread is already a couple of years old, I was hoping someone =
had=20
come with a way of sorting the problem out.

Anyway, I'll cut my data down to some useful length. Thanks,

Antonio



--=20
Antonio Gonzalez, MD MSc PhD
Department of Neuroscience
Karolinska Institutet
Retzius v=C3=A4g. 8
171 77 Stockholm
Sweden

Hi everyone,

I am looking for a way to use an axis break in one of the axes of a normal 
scatter plot. I searched the mailing lists and users guide but couldn't find 
anything. 

I can transform my data and manually set the tick labels so the graph looks 
the way I want, but that does not give me the actual axis break symbol 
(double straight or squiggly lines perpendicular to the axis).

If anyone knows how to do this I'd appreciate the help.

Cheers,
Ralf

Hi Antonio,

This is a blast from the past, it's a limitation of AGG:
http://sourceforge.net/mailarchive/message.php?msg_id=9175398

Darren


On Wednesday 22 March 2006 7:13 am, Antonio Gonzalez wrote:
> Dear all,
>
> I have problems displaying plots for large datasets. Briefly, when
> attempting to plot a large number of data points these are not displayed,
> or only partially displayed. The simplest way for reproducing my problem
> is:
>
>    from pylab import *
>    datalen = 100000
>
>    data = rand(datalen)
>    plot(data)
>    show()
>
> Here, if datalen is 10000, then the graph looks as expected. However, if
> datalen is increased, say, to 100000, then the resulting plot is incomplete
> (as shown in snapshot1). Moreover, when trying to zoom, the axes display
> the new values reflecting the zoomed scale, but the data are not actually
> zoomed (eg snapshot2). I have no clue as to what can be wrong, since no
> error is returned. Also, no error results from running the example above
> with --verbose-helpful:
>
>    antonio@linux:~/python> python test.py --verbose-helpful
>    matplotlib data path
> /usr/lib/python2.4/site-packages/matplotlib/mpl-data $HOME=/home/antonio
>    CONFIGDIR=/home/antonio/.matplotlib
>    loaded rc file /home/antonio/.matplotlib/matplotlibrc
>    matplotlib version 0.88svn
>    verbose.level helpful
>    interactive is False
>    platform is linux2
>    numerix numpy 0.9.6.2206
>    font search path
> ['/usr/lib/python2.4/site-packages/matplotlib/mpl-data'] loaded ttfcache
> file /home/antonio/.matplotlib/ttffont.cache
>    backend TkAgg version 8.4
>
> In a real example of what I'm trying to do: I read a fragment of data from
> a large file, then plot such fragment of data; convolve it and plot the
> result (as in snapshot3); interactively make some decisions according to
> such plot, and then move to the next fragment of my large file to repeat
> the process. However, whenever I attempt to plot large chunks of data, the
> plot is not displayed (eg snapshot4). As mentioned, no error is returned,
> and thus I have no clue as to how to fix this problem.
>
> (For the record, in snapshot3 the length of data plotted is 671334 [top]
> and 132829 [bottom]. In snapshot4 it is 1162554 [top] and 231073 [bottom].)
>
> Any help will be much appreciated.
>
> Antonio

-- 
Darren S. Dale, Ph.D.
dd...@co...

Dear all,

I have problems displaying plots for large datasets. Briefly, when attemp=
ting to=20
plot a large number of data points these are not displayed, or only parti=
ally=20
displayed. The simplest way for reproducing my problem is:

   from pylab import *
   datalen =3D 100000

   data =3D rand(datalen)
   plot(data)
   show()

Here, if datalen is 10000, then the graph looks as expected. However, if =
datalen=20
is increased, say, to 100000, then the resulting plot is incomplete (as s=
hown in=20
snapshot1). Moreover, when trying to zoom, the axes display the new value=
s=20
reflecting the zoomed scale, but the data are not actually zoomed (eg=20
snapshot2). I have no clue as to what can be wrong, since no error is ret=
urned.=20
Also, no error results from running the example above with --verbose-help=
ful:

   antonio@linux:~/python> python test.py --verbose-helpful
   matplotlib data path /usr/lib/python2.4/site-packages/matplotlib/mpl-d=
ata
   $HOME=3D/home/antonio
   CONFIGDIR=3D/home/antonio/.matplotlib
   loaded rc file /home/antonio/.matplotlib/matplotlibrc
   matplotlib version 0.88svn
   verbose.level helpful
   interactive is False
   platform is linux2
   numerix numpy 0.9.6.2206
   font search path ['/usr/lib/python2.4/site-packages/matplotlib/mpl-dat=
a']
   loaded ttfcache file /home/antonio/.matplotlib/ttffont.cache
   backend TkAgg version 8.4

In a real example of what I'm trying to do: I read a fragment of data fro=
m a=20
large file, then plot such fragment of data; convolve it and plot the res=
ult (as=20
in snapshot3); interactively make some decisions according to such plot, =
and=20
then move to the next fragment of my large file to repeat the process. Ho=
wever,=20
whenever I attempt to plot large chunks of data, the plot is not displaye=
d (eg=20
snapshot4). As mentioned, no error is returned, and thus I have no clue a=
s to=20
how to fix this problem.

(For the record, in snapshot3 the length of data plotted is 671334 [top] =
and=20
132829 [bottom]. In snapshot4 it is 1162554 [top] and 231073 [bottom].)

Any help will be much appreciated.

Antonio



--=20
Antonio Gonzalez, MD MSc PhD
Department of Neuroscience
Karolinska Institutet
Retzius v=C3=A4g. 8
171 77 Stockholm
Sweden

Some time ago (before the arrow patch), I wrote a small function to do 
this. I hope that this is also useful for you.

---------------------------
def arrow(p1, p2, style=None, linewidth=1):
	import math
	import pylab as P
	linex = [p1[0], p2[0]]
	liney = [p1[1], p2[1]]
	theta0 = math.atan2(liney[1]-liney[0], linex[1]-linex[0])
	thetaa = math.pi/12
	theta1 = theta0 - thetaa
	theta2 = theta0 + thetaa
	L = 0.05
	xh = linex[1]
	yh = liney[1]
	xa1 = xh - L*math.cos(theta1)
	ya1 = yh - L*math.sin(theta1)
	xa2 = xh - L*math.cos(theta2)
	ya2 = yh - L*math.sin(theta2)
	P.plot(linex, liney, style, linewidth=linewidth)
	P.plot([xa1, xh, xa2], [ya1, yh, ya2], 'k-', linewidth=linewidth)
---------------------------
Nils Wagner wrote:
> Dear Matplotlib-Users,
> 
> I would like to add arrows at the corners of the
> blue line to illustrate the order of the
> iterates. Is it possible to realize it with
> matplotlib ?
> 
> Nils
> 
> ------------------------------------------------------------------------
> 

Hi John,

Thank you for your hint.

python arrow_demo.py --verbose-helpful yields

matplotlib data path /usr/lib64/python2.4/site-packages/matplotlib/mpl-data
$HOME=/home/nwagner
CONFIGDIR=/home/nwagner/.matplotlib
loaded rc file /home/nwagner/.matplotlib/matplotlibrc
matplotlib version 0.88svn
verbose.level helpful
interactive is False
platform is linux2
numerix numpy 0.9.7.2264
font search path ['/usr/lib64/python2.4/site-packages/matplotlib/mpl-data']
loaded ttfcache file /home/nwagner/.matplotlib/ttffont.cache
backend GTKAgg version 2.8.0
Traceback (most recent call last):
  File "arrow_demo.py", line 307, in ?
    make_arrow_plot(d, display=display, linewidth=0.001, edgecolor=None,
NameError: name 'd' is not defined

Nils