matplotlib-users Mailing List for matplotlib

Thanks for that:
def ifmissing(x):
 try: return float(x)
 except: return np.nan
works just fine.
-Evan
On Sun, May 10, 2009 at 6:59 AM, Ryan May <rm...@gm...> wrote:
>
>
> On Sat, May 9, 2009 at 8:35 PM, Evan Mason <eva...@gm...> wrote:
>
>> Hi, I want to use mlab.load to load in some data:
>>
>>
>> 1) 2004年02月27日 21:51:00 1 2553.51 2553.51
>> -99.0000N 3.217
>> 2) 2004年02月27日 22:01:00 2 2553.47 2553.47
>> -99.0000N 3.217
>> 3) 2004年02月27日 22:10:59 3 2553.45 2553.45
>> -99.0000N 3.218
>> 4) 2004年02月27日 22:20:59 4 2553.46 2553.46
>> -99.0000N 3.223
>>
>>
>> unfortunately missing values are given as -99.000N, and these cause the
>> following error:
>>
>>
>> In [98]: mlab.load(site_file,skiprows=29,usecols=[4])
>>
>> ---------------------------------------------------------------------------
>> ValueError Traceback (most recent call
>> last)
>>
>> /Users/evan/python/tools/fig_NEA_seas_paper_RAPID.py in <module>()
>> ----> 1
>> 2
>> 3
>> 4
>> 5
>>
>> /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib/mlab.pyc
>> in load(fname, comments, delimiter, converters, skiprows, usecols, unpack,
>> dtype)
>> 1458 if usecols is not None:
>> 1459 vals = splitfunc(line)
>> -> 1460 row = [converterseq[j](vals[j]) for j in usecols]
>> 1461 else:
>> 1462 row = [converterseq[j](val)
>>
>> ValueError: invalid literal for float(): -99.00N
>>
>>
>> Is there any way around this, apart from editing all the data files to
>> remove every 'N'?
>
>
> Make use of the converters argument:
>
> mlab.load(..., converters={5:fix_func})
>
> Where fix_func is a function that will convert the -99.0000N values to what
> you're looking for.
>
> Ryan
>
> --
> Ryan May
> Graduate Research Assistant
> School of Meteorology
> University of Oklahoma
>

Hi All,
I'm facing a weird problem while embedding in a gtk window made with
glade (dunno if this might be involved in the problem, but worth
noticing) + dynamical update of the plot.
What I'm doing is:
fig = Figure()
ax = fig.add_subplot(111)
line, = ax.plot([], [])
then using that reference to update the plot when user click on a button:
def update_graph(<params>):
 line_ref.set_data(np.array([L1, L2]))
 ax.set_yscale('log')
 fig_ref.canvas.draw()
Sadly, the graph embedded remains unchanged, if not for the Y labels &
ticks that changes because of the log scale.
The data is there, becase if I explicitly set the x/ylim then the data
are shown, but i'd like mpl to autoscale.
I've used several tentatives to make it works:
- ax.set_autoscale_on(True)
- ax.autoscale_view()
but none of them worked.
Do you know if there's something I can do to make that graph autoscale
at "set_data" time? can I force it somehow? if I can't do it handy, is
there a workaround to obtain the same effect?
Thanks in advance,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi

Pl see picture below. The grid always shows on top of the plot lines. Is it
possible to put it below?
Thanks!
http://www.nabble.com/file/p23474184/gridlines.gif 
-- 
View this message in context: http://www.nabble.com/how-to-put-grid-under-the-plot-lines--tp23474184p23474184.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hello,
I overlay bunch of boxplots with mean values shown as stars on each
corresponding boxplot instance. (As could be seen in this image:
http://img216.imageshack.us/img216/7528/boxplot.png.
There is a minor thing that affects the appearance of the figure. That is
1st and the last boxplots don't fit in the figure borders. How can I fix
this? Do you have any suggestions?
Thank you.
Gökhan

Hello everybody!
I am experiencing the following problem: when I draw text with usetex
enabled and the xcolor package, the result is not colored; however the
intermediate steps that I find in .../tex.cache still are!
The problem occurs with:
=====
from matplotlib import rc
from pylab import figure, text, show, savefig
rc('text', usetex=True)
rc('text.latex', preamble="\usepackage{xcolor}")
f = figure()
f.text(0.5,0.5,r"{\color[rgb]{0,1,0}a}b")
show()
#savefig("colortest.png")
=====
The resulting graph is not colored -- but in the directory
~/.matplotlib/tex.cache/ the text is green, both in the dvi and the png
file!
It therefore seems to me that this is not completely hopeless but I
cannot figure out how to proceed.
Can someone help?
Thanks & best regards,
Sebastian.
I am on
Linux macbook 2.6.27-11-generic #1 SMP Wed Apr 1 20:53:41 UTC 2009
x86_64 GNU/Linux
running
Python 2.5.2 (r252:60911, Oct 5 2008, 19:29:17)
and
matplotlib 0.98.3
downloaded from the Ubuntu repositories for 8.10.
I ran
> python colortest.py --verbose-helpful
/usr/lib/python2.5/site-packages/pytz/__init__.py:29: UserWarning:
Module dateutil was already imported from
/var/lib/python-support/python2.5/dateutil/__init__.py, but
/var/lib/python-support/python2.5 is being added to sys.path
 from pkg_resources import resource_stream
$HOME=/...
CONFIGDIR=/.../.matplotlib
matplotlib data path /usr/share/matplotlib/mpl-data
loaded rc file /etc/matplotlibrc
matplotlib version 0.98.3
verbose.level helpful
interactive is False
units is False
platform is linux2
Using fontManager instance from /home/buschi/.matplotlib/fontManager.cache
backend TkAgg version 8.4
Found dvipng version 1.11
and
> python colortest.py --verbose-debug
/usr/lib/python2.5/site-packages/pytz/__init__.py:29: UserWarning:
Module dateutil was already imported from
/var/lib/python-support/python2.5/dateutil/__init__.py, but
/var/lib/python-support/python2.5 is being added to sys.path
 from pkg_resources import resource_stream
$HOME=/...
CONFIGDIR=/.../.matplotlib
matplotlib data path /usr/share/matplotlib/mpl-data
loaded rc file /etc/matplotlibrc
matplotlib version 0.98.3
verbose.level debug
interactive is False
units is False
platform is linux2
loaded modules: ['numpy.lib.pkgutil', 'numpy.lib.tempfile',
'numpy.ma.types', 'xml.sax.urlparse', 'distutils', 'matplotlib.errno',
'matplotlib.matplotlib', '_bisect', 'numpy.core.defchararray',
'numpy.lib.bz2', 'matplotlib.tempfile', 'distutils.sysconfig',
'ctypes._endian', 'encodings.encodings', 'matplotlib.dateutil',
'matplotlib.colors', 'numpy.core.numerictypes', 'numpy.testing.sys',
'numpy.core.info', 'xml', 'numpy.fft.types', 'numpy.ma.operator',
'distutils.dep_util', 'numpy.ma.cPickle', 'struct', 'numpy.random.info',
'tempfile', 'mmap', 'xml.sax.urllib', 'numpy.linalg',
'matplotlib.threading', 'numpy.testing.operator', 'imp', 'compiler.sys',
'collections', 'compiler.pyassem', 'numpy.core.umath', '_struct',
'unittest', 'compiler.new', 'numpy.lib.numpy', 'numpy.testing.types',
'compiler.ast', 'numpy.ma.sys', 'zipimport', 'string',
'numpy.testing.os', 'matplotlib.locale', 'numpy.lib.arraysetops',
'numpy.testing.unittest', 'numpy.lib.inspect', 'encodings.utf_8',
'matplotlib.__future__', 'pytz.tzinfo', 'numpy.ctypeslib',
'numpy.testing.re', 'itertools', 'numpy.version', 'numpy.lib.re',
'distutils.re', 'ctypes.os', 'compiler.token', 'numpy.core.os',
'compiler', 'numpy.lib.type_check', 'httplib', 'bisect', 'signal',
'compiler.consts', 'numpy.lib._datasource', 'random', 'numpy.ma.extras',
'token', 'numpy.fft.fftpack_lite', 'shlex', 'ctypes.ctypes',
'xml.sax.xmlreader', 'matplotlib.pytz', 'numpy.__builtin__',
'numpy.testing.shlex', 'distutils.log', 'dis', 'numpy.lib.itertools',
'cStringIO', 'zlib', 'numpy.numpy', 'matplotlib.StringIO',
'numpy.random.mtrand', 'numpy.add_newdocs', 'numpy.lib.getlimits',
'compiler.dis', 'compiler.transformer', 'xml.sax.saxutils',
'compiler.struct', 'pkgutil', 'compiler.parser', 'numpy.lib.sys',
'encodings', 'compiler.symbol', 'numpy.lib.io', 'StringIO', 'dateutil',
'pydoc', 'pytz.cStringIO', 'numpy.imp', 'numpy.ctypes',
'matplotlib.warnings', 'rfc822', 'matplotlib.string', 'pytz.pytz',
'urllib', 'matplotlib.sys', 're', 'numpy.lib._compiled_base',
'threading', 'numpy.core.mmap', 'new', 'numpy.lib.struct', 'symbol',
'math', 'numpy.fft.helper', 'fcntl', 'numpy.ma.warnings',
'compiler.imp', 'UserDict', 'inspect', 'distutils.os', 'matplotlib',
'urllib2', 'pytz.os', 'fnmatch', 'numpy.lib.info', 'numpy.testing',
'numpy.testing.glob', 'numpy.lib.warnings', 'ctypes.struct', 'codecs',
'numpy.core._sort', 'numpy.os', 'pytz.bisect', 'compiler.visitor',
'md5', 'numpy.testing.difflib', 'matplotlib.sre_constants',
'matplotlib.os', 'thread', 'numpy.lib.ufunclike', 'numpy.core.memmap',
'traceback', 'pkg_resources', 'numpy.testing.warnings', 'weakref',
'numpy.core._internal', 'numpy.fft.fftpack', 'opcode',
'numpy.core.scalarmath', 'numpy.linalg.lapack_lite', 'ctypes',
'distutils.sys', 'os', 'marshal', 'sre_parse', 'numpy.lib.shutil',
'__future__', 'numpy.core.string', 'matplotlib.copy', 'xml.sax.types',
'numpy.random.numpy', '_sre', 'numpy.lib.gzip', 'numpy.core.sys',
'numpy.random', 'numpy.linalg.numpy', '__builtin__',
'numpy.lib.twodim_base', 'numpy.ma.core', 'matplotlib.re',
'numpy.core.cPickle', 'base64', 'operator', 'numpy.testing.parametric',
'numpy.core.arrayprint', 'distutils.string', 'ctypes._ctypes', '_heapq',
'ctypes.sys', 'matplotlib.datetime', 'posixpath', 'numpy.lib.financial',
'numpy.core.multiarray', 'errno', 'numpy.testing.numpy', '_socket',
'binascii', 'numpy.lib.compiler', 'sre_constants', 'compiler.cStringIO',
'locale', 'compiler.os', 'matplotlib.md5', 'types', 'pytz.sys',
'tokenize', 'xml.sax.handler', 'numpy.core.numpy', 'numpy',
'numpy.lib.urlparse', 'pytz.pkg_resources', 'matplotlib.types',
'numpy.core.defmatrix', 'xml.sax.os', 'cPickle', 'matplotlib.xml',
'_codecs', '_locale', 'matplotlib.traceback', 'numpy.__config__',
'numpy.fft.info', 'numpy.lib.types', 'pytz', 'matplotlib.pyparsing',
'compiler.copy_reg', 'numpy.ma.numpy', 'copy', 'numpy.core.re',
'socket', '_types', 'numpy.core.fromnumeric', 'hashlib',
'compiler.future', 'matplotlib.cbook', 'numpy.core.copy_reg',
'numpy.lib.scimath', 'numpy.fft', 'numpy.lib', '_ctypes',
'apport_python_hook', 'posix', 'encodings.aliases',
'matplotlib.fontconfig_pattern', 'exceptions', 'xml.sax._exceptions',
'datetime', 'sets', 'numpy.core.cStringIO', 'numpy.core.ctypes',
'mimetools', 'distutils.distutils', 'copy_reg', 'sre_compile',
'xml.sax', 'compiler.compiler', '_hashlib', '_random', 'parser', 'site',
'numpy.lib.polynomial', 'numpy._import_tools', 'numpy.glob',
'pytz.struct', 'numpy.lib.time', '__main__', 'compiler.misc',
'numpy.core.records', 'shutil', 'numpy.lib.cPickle', 'numpy.sys',
'matplotlib.weakref', 'numpy.lib.pydoc', 'numpy.core._dotblas',
'numpy.testing.traceback', 'strop', 'compiler.pycodegen',
'numpy.core.numeric', 'pytz.tzfile', 'numpy.linalg.info',
'encodings.codecs', 'gettext', 'pytz.datetime', 'heapq',
'numpy.lib.cStringIO', 'numpy.core', 'numpy.testing.info',
'matplotlib.rcsetup', 'matplotlib.time', 'pytz.sets',
'matplotlib.numpy', 'xml.sax.codecs', 'stat', '_ssl', 'numpy.lib.utils',
'numpy.lib.index_tricks', 'numpy.testing.utils', 'warnings',
'encodings.types', 'numpy.lib.math', 'glob', 'numpy.lib.shape_base',
'distutils.util', 'numpy.core.types', 'numpy.fft.numpy', 'repr', 'sys',
'numpy.core.warnings', 'numpy.lib.urllib2', 'compiler.types',
'numpy.core.__builtin__', 'xml.sax.sys', 'numpy.lib.format',
'numpy.lib.os', 'numpy.ma', 'os.path', 'bz2', 'pytz.gettext',
'sitecustomize', 'compiler.symbols', 'distutils.spawn',
'matplotlib.distutils', '_weakref', 'numpy.testing.numpytest',
'difflib', 'distutils.errors', 'urlparse', 'linecache',
'matplotlib.shutil', 'numpy.lib.function_base', 'numpy.testing.imp',
'time', 'gzip', 'numpy.lib.machar', 'compiler.marshal',
'numpy.linalg.linalg', 'compiler.syntax']
Using fontManager instance from /home/buschi/.matplotlib/fontManager.cache
backend TkAgg version 8.4
	findfont found Bitstream Vera Sans, normal, normal 400, normal, 12.0
findfont returning /usr/share/fonts/truetype/ttf-bitstream-vera/Vera.ttf
Found dvipng version 1.11

On Sun, May 10, 2009 at 8:33 AM, Sahar <sa...@cm...> wrote:
> Hello,
>
> Is it possible to autoscale the color map of an image (as in
> matlab's 'imagesc')?
> I'm using imshow and I can use vmin and vmax but than I have to set these
> values manually.
>
If you don't give it a range, it should autoscale by itself. Double check
to make sure there isn't a spurious value somewhere in your array.
Otherwise, we'd need to see a complete, small example that demonstrates the
problem you're seeing, as well as your version of matplotlib.
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
Sent from Norman, Oklahoma, United States

On Sat, May 9, 2009 at 8:35 PM, Evan Mason <eva...@gm...> wrote:
> Hi, I want to use mlab.load to load in some data:
>
>
> 1) 2004年02月27日 21:51:00 1 2553.51 2553.51
> -99.0000N 3.217
> 2) 2004年02月27日 22:01:00 2 2553.47 2553.47
> -99.0000N 3.217
> 3) 2004年02月27日 22:10:59 3 2553.45 2553.45
> -99.0000N 3.218
> 4) 2004年02月27日 22:20:59 4 2553.46 2553.46
> -99.0000N 3.223
>
>
> unfortunately missing values are given as -99.000N, and these cause the
> following error:
>
>
> In [98]: mlab.load(site_file,skiprows=29,usecols=[4])
> ---------------------------------------------------------------------------
> ValueError Traceback (most recent call last)
>
> /Users/evan/python/tools/fig_NEA_seas_paper_RAPID.py in <module>()
> ----> 1
> 2
> 3
> 4
> 5
>
> /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib/mlab.pyc
> in load(fname, comments, delimiter, converters, skiprows, usecols, unpack,
> dtype)
> 1458 if usecols is not None:
> 1459 vals = splitfunc(line)
> -> 1460 row = [converterseq[j](vals[j]) for j in usecols]
> 1461 else:
> 1462 row = [converterseq[j](val)
>
> ValueError: invalid literal for float(): -99.00N
>
>
> Is there any way around this, apart from editing all the data files to
> remove every 'N'?
Make use of the converters argument:
mlab.load(..., converters={5:fix_func})
Where fix_func is a function that will convert the -99.0000N values to what
you're looking for.
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

Hello,
Is it possible to autoscale the color map of an image (as in matlab's
'imagesc')?
I'm using imshow and I can use vmin and vmax but than I have to set these
values manually.
Thanks,
Sahar
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Hi, I want to use mlab.load to load in some data:
 1) 2004年02月27日 21:51:00 1 2553.51 2553.51
-99.0000N 3.217
 2) 2004年02月27日 22:01:00 2 2553.47 2553.47
-99.0000N 3.217
 3) 2004年02月27日 22:10:59 3 2553.45 2553.45
-99.0000N 3.218
 4) 2004年02月27日 22:20:59 4 2553.46 2553.46
-99.0000N 3.223
unfortunately missing values are given as -99.000N, and these cause the
following error:
In [98]: mlab.load(site_file,skiprows=29,usecols=[4])
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/Users/evan/python/tools/fig_NEA_seas_paper_RAPID.py in <module>()
----> 1
 2
 3
 4
 5
/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib/mlab.pyc
in load(fname, comments, delimiter, converters, skiprows, usecols, unpack,
dtype)
 1458 if usecols is not None:
 1459 vals = splitfunc(line)
-> 1460 row = [converterseq[j](vals[j]) for j in usecols]
 1461 else:
 1462 row = [converterseq[j](val)
ValueError: invalid literal for float(): -99.00N
Is there any way around this, apart from editing all the data files to
remove every 'N'?
Many thanks, Evan