Re: [Matplotlib-users] Plot aliasing

2008-12-27 Thread John Hunter
On Sat, Dec 27, 2008 at 10:29 AM, Kaushik Ghose
kaushik_gh...@hms.harvard.edu wrote:
 Hi Gang,

 I was plotting some data collected from an ADC and noticed an odd aliasing
 issue. Please see the images on the following site.

 http://assorted-experience.blogspot.com/2008/12/odd-aliasing-issue-with-matplotlib.html

 I wonder if there is any way to avoid this kind of aliasing. I vaguely 
 remember
 our old arch-foe (MATLAB) handles this gracefully. I have found matplotlib's
 plotting to be superior to MATLAB's in every way (except for 3D) and it would 
 be
 nice if aliasing could be handled gracefully.

I'm almost certain this is a result of the path simplification logic.
Could you upload some sample data and a self contained script so we
can test?
You can test this by editing site-packages/path.py and replacing::

  self.should_simplify = (len(vertices) = 128 and
(codes is None or np.all(codes = Path.LINETO)))

with::

  self.should_simplify = False

Michael, perhaps we could override path.should_simplify with an rc or
line property?

 Also, thanks for the excellent binary packages for Mac!

Thanks for testing them!

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Re: [Matplotlib-users] Backtrace when including a legend with 0.98.5.1

2008-12-26 Thread John Hunter
On Fri, Dec 26, 2008 at 4:14 AM, Adam Mercer ramer...@gmail.com wrote:
 Hi

 I've noticed that one of my codes is failing with the following
 backtrace since updating to 0.98.5.1:

Could you please post a complete, free-standing example?  Also, you
might want to test against 98.5.2 which has been released with some
legend fixes.

JDH

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Re: [Matplotlib-users] bugfix for: ImportError: No module named _backend_gdk

2008-12-24 Thread John Hunter
On Tue, Dec 23, 2008 at 11:48 PM, Balaji S. Srinivasan
bala...@stanford.edu wrote:

 I figured out that this was due to an extra comma in setupext.py.
 Edit line 1347 to remove the extra comma, changing this:

 module = Extension(

 'matplotlib.backends._backend_gdk',
 ['src/backend_gdk.c', ], # HERE IS THE BAD EXTRA COMMA
 libraries = [],
 include_dirs=numpy_inc_dirs,
 )

 to this:

 module = Extension(

 'matplotlib.backends._backend_gdk',
 ['src/backend_gdk.c' ],
 libraries = [],
 include_dirs=numpy_inc_dirs,
 )

 Then

This doesn't make any sense, because the two lists are identical::

In [127]: x = ['src/backend_gdk.c', ]

In [128]: len(x)
Out[128]: 1

In [129]: x
Out[129]: ['src/backend_gdk.c']

In [130]: y = ['src/backend_gdk.c']

In [131]: len(y)
Out[131]: 1

In [132]: y
Out[132]: ['src/backend_gdk.c']

In [133]: x==y
Out[133]: True

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Re: [Matplotlib-users] Can't build on Ubuntu Intrepid

2008-12-20 Thread John Hunter
On Sat, Dec 20, 2008 at 12:19 AM, Ryan Wagner rwag...@vni.com wrote:
 Hi guys,

I've been trying to build the newest version of MPL on Ubuntu Intrepid
 for a few days now. I'm not getting anywhere. I believe I have all the
 correct dev packages installed. I had tried to build 0.98.3 but it came out
 via apt-get. Can anyone take a look at my install output (attached) and give
 me an idea of what I may be doing wrong? TIA

Is it possible you are not using g++ here ? The compile line that is failing is

  cc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall
-Wstrict-prototypes -ansi -m64 -w   -DCOMPUTER_LOPT64 -DANSI
-I/usr/local/VNI/imsl/cnl600/linux64/include -fPIC
-I/usr/lib/python2.5/site-packages/numpy/core/include
-I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I.
-I/usr/include/python2.5 -c CXX/cxxextensions.c -o
build/temp.linux-x86_64-2.5/CXX/cxxextensions.o
  In file included from CXX/cxxextensions.c:38:
  ./CXX/WrapPython.h:1: error: expected identifier or '(' before '/' token

The line in question, line 1 of WrapPython.h, is simply a comment.

Flags like

   -DANSI -I/usr/local/VNI/imsl/cnl600/linux64/include


indicate to me you have some non-standard stuff in your build
environment, and perhaps you are picking up a different compiler or
library, perhaps the intel compiler?  If you are trying to compile
with the intel compiler, you may need to set the CC and CXX
environment variables to make sure you are using the c++ compiler.
If you can use g++, you are more likely to have success.  Before
building, I suggest

  export CC=gcc
  export CXX=g++

You might also try and remove the CFLAGS that are causing the visual
numerics include flags to set.

JDH

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Re: [Matplotlib-users] legend: axespad, pad, handlelen, labelsep - without effect

2008-12-19 Thread John Hunter
On Fri, Dec 19, 2008 at 8:36 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 The legend class has been reimplemented recently and the name of some
 keyword arguments (and their meaning) has been changed. Those
 parameters you're using are deprecated ones. It is supposed to show
 you some warnings if deprecated parameters are used, so what you see
 is a bug. I'll take a look. I also noticed that the documentaion of
 the pylab.legend is outdated. Take a look at

Jae-Joon,

I don't think these changes ever made it into doc/api/api_changes.rst.
 Could you update that file in the branch, and I'll push it out the
web site.

Thanks,
JDH

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Re: [Matplotlib-users] figimage and image magnification (was: imshow with pdf)

2008-12-17 Thread John Hunter
On Mon, Dec 15, 2008 at 2:44 PM, John Hunter jdh2...@gmail.com wrote:

 I am not sure what figimage should mean for a vector backend so I want
 to hear from Perry who motivated the function.  When I implemented it
 on his original request, I understood it to be a raw pixel dump to the
 canvas with no scaling, no interpolation, etc  What does a pixel
 dump to a canvas mean for a vector backend?   I think we could define
 something that was at least consistent, but we should probably hear
 from Perry et al who are presumably using the function.

After sleeping on this overnight, I think the answer here is clear.
figimage is meant to be a pixel dump, so we should just treat a pixel
as a dot.  When dpi is increased, the number of dots on the canvas
increases so the figimage should look smaller.  I added your patch and
support for magnification to figimage -- the output looks right for
PNG, PDF and EPS -- svg still not.  I haven't had a chance to look but
perhaps SVG does not utilize the magnification param.  I'll check into
this later.

JDH

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Re: [Matplotlib-users] bad keys in event.key

2008-12-17 Thread John Hunter
On Wed, Dec 17, 2008 at 1:24 PM, James Schombert jscho...@uoregon.edu wrote:
 Using matplotlib 0.98.5 on OSX 10.5, the following error
 occurs for many key_press events using the standard
 connect class - letter such as c,v,s etc (and most important, backspace)

 Exception in Tkinter callback
 Traceback (most recent call last):
 File
 /System/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/lib-tk/Tkinter.py,
 line 1403, in __call__
 return self.func(*args)
 File
 /Library/Python/2.5/site-packages/matplotlib/backends/backend_tkagg.py,line
 312, in key_press
 FigureCanvasBase.key_press_event(self, key, guiEvent=event)
 File /Library/Python/2.5/site-packages/matplotlib/backend_bases.py,
 line 1122, in key_press_event
 self.callbacks.process(s, event)
 File /Library/Python/2.5/site-packages/matplotlib/cbook.py, line 155,
 in process
 func(*args, **kwargs)
 File /Library/Python/2.5/site-packages/matplotlib/backend_bases.py,
 line 1626, in key_press
 self.canvas.toolbar.back()
 AttributeError: FigureCanvasTkAgg instance has no attribute 'toolbar'

 would a full list of the bad keys help

I am not seeing this on the 0.98.5 release candidate.  I fire up

  python simple_plot.py -dTkAgg

and click 'c' somewhere on the figure/axes, or 'delete' and I am not
getting the traceback.

JDH

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Re: [Matplotlib-users] OSX 10.5 event.key bug

2008-12-17 Thread John Hunter
On Wed, Dec 17, 2008 at 12:22 PM, Matthias Michler
matthiasmich...@gmx.net wrote:
 Hello John and others,

 my favorite solution is:
 * axes param: specific for a given axes in figure; interface would
 be something like

ax.auto_toolbar_keys(False)

This is on my list of things to do

JDH

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Re: [Matplotlib-users] [Fwd: Matplotlib 0.98.5 egg on Mac OS X : Install Problem]

2008-12-17 Thread John Hunter
On Wed, Dec 17, 2008 at 2:29 PM, Kaushik Ghose
kaushik_gh...@hms.harvard.edu wrote:
 Hi Everyone,

 I am running into a problem when trying to install 0.98.5 egg on a Mac OS X
 machine. Any help much appreciated. Relevant error messages follow:

I posted binaries to fix this problem and have requested testers, so
please try the binaries at

https://sourceforge.net/project/showfiles.php?group_id=80706package_id=278194release_id=646644

You might want to be sure to delete the old dir to get a clean install

 sudo rm -rf 
 /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib*

before installing the new.  Let me know how it goes.

JDH

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Re: [Matplotlib-users] Matplotlib 0.98.5 egg on Mac OS X : Install Problem

2008-12-17 Thread John Hunter
On Wed, Dec 17, 2008 at 2:32 PM, Kaushik Ghose
kaushik_gh...@hms.harvard.edu wrote:
 Hi Everyone,

 I am running into a problem when trying to install 0.98.5 egg on a Mac OS X
 machine. Any help much appreciated. Relevant error messages follow:

Did you miss my repeated posts on this subject, asking for people to
test the new binaries that (hopefully) have fixed this problem?

https://sourceforge.net/project/showfiles.php?group_id=80706package_id=278194release_id=646644

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Re: [Matplotlib-users] Error with matplotlib-0.98.5.1-py2.5-macosx10.5.mpkg

2008-12-17 Thread John Hunter
On Wed, Dec 17, 2008 at 4:43 PM, Kaushik Ghose
kaushik_gh...@hms.harvard.edu wrote:
 Hi John,

 The install goes fine, but I come up blank on the import.

 Thanks
 -Kaushik

 sudo rm -rf
 /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib*

 ++

 sudo installer -pkg matplotlib-0.98.5.1-py2.5-macosx10.5.mpkg -target /
 installer: Package name is matplotlib 0.98.5.1-r0
 installer: Installing at base path /
 installer: The install was successful.

 +++

 In [1]: import pylab

Please run the following commands after cleaning the previous installs
and reinstalling the mpkg file::


   ls
   python -c 'import matplotlib; print matplotlib.__file__'
   python -c 'import matplotlib; print matplotlib.__version__'
   python -c 'import pylab'

The ls is important because sometimes a person has a directory named
'matplotlib' in their local path, and this is getting picked rather
than the installed matplotlib which contains the pylab module.

JDH

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Re: [Matplotlib-users] Error with matplotlib-0.98.5.1_r0-py2.5-macosx-10.3-fat.egg

2008-12-17 Thread John Hunter
On Wed, Dec 17, 2008 at 4:50 PM, Kaushik Ghose
kaushik_gh...@hms.harvard.edu wrote:
 Hi John,

 I tried the .egg package but no joy.

 Thanks
 -Kaushik

 sudo rm -rf
 /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib*

 

 sudo easy_install matplotlib-0.98.5.1_r0-py2.5-macosx-10.3-fat.egg
 Processing matplotlib-0.98.5.1_r0-py2.5-macosx-10.3-fat.egg
 creating
 /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib-0.98.5.1_r0-py2.5-macosx-10.3-fat.egg
 Extracting matplotlib-0.98.5.1_r0-py2.5-macosx-10.3-fat.egg to
 /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages
 Adding matplotlib 0.98.5.1-r0 to easy-install.pth file

 Installed
 /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib-0.98.5.1_r0-py2.5-macosx-10.3-fat.egg
 Processing dependencies for matplotlib==0.98.5.1-r0
 Searching for matplotlib==0.98.5.1-r0
 Reading http://pypi.python.org/simple/matplotlib/
 Reading http://matplotlib.sourceforge.net
 Reading http://sourceforge.net/project/showfiles.php?group_id=80706
 Reading
 https://sourceforge.net/project/showfiles.php?group_id=80706package_id=278194
 Reading
 https://sourceforge.net/project/showfiles.php?group_id=80706package_id=82474
 No local packages or download links found for matplotlib==0.98.5.1-r0
 error: Could not find suitable distribution for
 Requirement.parse('matplotlib==0.98.5.1-r0')


Eggs are an abomination -- the person who named the installer
easy_install should have their license revoked.  I think we may
distributing them because they are simply broken in too many ways.
This recurring problem -- where the easy_install goes looking on pypi
for an egg even though you are pointing at one locally on the file
system, is simply ridiculous.

Chris Barker suggests renaming the egg to matplotlib-0.98.5-py2.5.egg.
 Try that, and please let me know.  Thanks for the testing.

JDH

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Re: [Matplotlib-users] symbol skip in plot command

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 10:30 AM, John Hunter jdh2...@gmail.com wrote:

 using in favour of matplotlib). Plotting the data twice- the first time
 without
 symbol showing every data point and the second time onlywith the symbol
 and some skip in the data - doesn't help as I now get two entities in
 the legend.

 There is a way to do this, but it is not terribly elegant.  The tricky
 part is to get the legend right::

I just added a new line property called markevery to support
subsampling markers.  Included below is the docstring and nosetest
which should clearly indicate usage:

def set_markevery(self, every):

Set the markevery property to subsample the plot when using
markers.  Eg if ``markevery=5``, every 5-th marker will be
plotted.  *every* can be

None
Every point will be plotted

an integer N
Every N-th marker will be plotted starting with marker 0

A length-2 tuple of integers
every=(start, N) will start at point start and plot every
N-th marker


ACCEPTS: None | integer | (startind, stride)




def test_markevery():
x, y = np.random.rand(2, 100)

# check marker only plot
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y, 'o')
ax.plot(x, y, 'd', markevery=None)
ax.plot(x, y, 's', markevery=10)
ax.plot(x, y, '+', markevery=(5, 20))
fig.canvas.draw()
plt.close(fig)

# check line/marker combos
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y, '-o')
ax.plot(x, y, '-d', markevery=None)
ax.plot(x, y, '-s', markevery=10)
ax.plot(x, y, '-+', markevery=(5, 20))
fig.canvas.draw()
plt.close(fig)

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Re: [Matplotlib-users] symbol skip in plot command

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 10:09 AM, Michael Oevermann
michael.oeverm...@tu-berlin.de wrote:
 Hi all,

 I am trying to find  a solution to the following problem (without
 success so far):
 I have some high frequency data which I want to plot with a simple
 plot command using a solid line and a symbol. However, since I have many
 many
 data points I want to plot the symbol only every N'th data point. Is
 there a skip parameter
 or any other way to tell matplotlib to actually plot the symbol only
 at every N'th data point (I know it is possible in grace which I have
 stopped
 using in favour of matplotlib). Plotting the data twice- the first time
 without
 symbol showing every data point and the second time onlywith the symbol
 and some skip in the data - doesn't help as I now get two entities in
 the legend.

There is a way to do this, but it is not terribly elegant.  The tricky
part is to get the legend right::

import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)

N = 10
x = np.arange(100.)
y = x**2

# the solid line, suppress auto legend
line1, = ax.plot(x, y, linestyle='-', color='black', label='_nolegend_')
# every N-th marker, suppress auto legend
line2, = ax.plot(x[::N], y[::N], linestyle='', marker='o',
markerfacecolor='blue', label='_nolegend_')

# the proxy line, both solid and markers.  Don't add it to plot, just
# use it in legend
import matplotlib.lines as lines
proxyline = lines.Line2D([0,1], [0,1], linestyle='-',
color='black', marker='o', markerfacecolor='blue')

leg = ax.legend([proxyline], ['my label'])

plt.show()

JDH

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Re: [Matplotlib-users] Can not build trunk on windows

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 12:38 PM, Jörgen Stenarson
jorgen.stenar...@bostream.nu wrote:
 Hi

 I get the following error when I try to build matplotlib on a windows
 machine. It builds fine if I comment out the offending line in setup.py.

 C:\python\external\matplotlib-trunkpython setup.py config
 --compiler=mingw32 build --compiler=mingw32  bdist
 Traceback (most recent call last):
   File setup.py, line 13, in module
 del os.link
 AttributeError: link

Thanks -- I'll fix it.  This is a hack to prevent distutils from
copying our symlinks, which is breaking easy_install.

JDH

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Re: [Matplotlib-users] error installing matplotlib from egg

2008-12-16 Thread John Hunter
On Mon, Dec 15, 2008 at 7:08 PM, Michael Hearne mhea...@usgs.gov wrote:
 I get the following output when trying to install the latest version of
 matplotlib from an egg.  I'm running Mac OS X 10.5.5.

We've had a lot of trouble with our eggs.  I am not sure this is all
our fault, because it looks like some combination of distutils and
setuptools is breaking in the presence of symlinks, which we use.  I'm
modified our installs to work around this problem, and have posted new
eggs at

  
https://sourceforge.net/project/showfiles.php?group_id=80706package_id=278194release_id=646644

You have two choices for OS X :

  * matplotlib-0.98.5.1-py2.5-macosx10.5.zip   - a binary mpkg installer
  * matplotlib-0.98.5.1-py2.5-macosx.egg  - an egg with the known
problems fixed.

Please give it another whirl and let me know.

JDH

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Re: [Matplotlib-users] error installing matplotlib from egg

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 2:13 PM, Michael Hearne mhea...@usgs.gov wrote:
 John - I get the same error at the end. I've been able to build the package
 from the tarball successfully. Output follows:


No, this is not the same.  In the original post you had

  error: lib/matplotlib/mpl-data/matplotlib.conf.template

which was breaking the install (I think).  This is the bug I fixed.
The CleanUpFile exceptions are annoying but mostly harmless, and I
have a post to distutils.sig about them.

Let me know if you have information otherwise.

JDH

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Re: [Matplotlib-users] symbol skip in plot command

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 2:20 PM, Michael Oevermann
michael.oeverm...@tu-berlin.de wrote:
 That's exactly what I was looking for! But how do I get the new feature
 into my
 matplotlib version?


Either  wait for the next release and use the workaround for now, or
install from svn.  See


  http://matplotlib.sourceforge.net/faq/installing_faq.html#install-from-svn


Nightly builds are on the list of things to do, but we have bigger
fish to fry at the moment.  What platform are you on?

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Re: [Matplotlib-users] [matplotlib-devel] os x egg fubar?

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 2:17 PM, Christopher Barker
chris.bar...@noaa.gov wrote:

 However, once installed, I tried to run it, and got libpng issues --
 aaarrgg!:

Could you also test the mpkg zip file -- I am curious if that shows
the same png problems for you.

JDH

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Re: [Matplotlib-users] [matplotlib-devel] os x egg fubar?

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 2:25 PM, John Hunter jdh2...@gmail.com wrote:
dlopen(/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib-0.98.5.1-py2.5.egg/matplotlib/_png.so,
 2): Symbol not found: _png_destroy_read_struct
  Referenced from:


 Well, at least we have a *different* bug to focus on.  I'll try and
 reproduce this somewhere  I wonder if this is backend dependent
 (eg you are using a backend that also links png and something is
 getting confused).  Could you try running ::

Just a quick comment -- the symbol _png_destroy_read_struct is not
defined in the png sources I am using (png_destroy_read_struct is).
Thus it looks like a C++ name mangling issue, probably introduced when
the mpl c++ includes and links against the code.  Just throwing this
out there in case anyone has advice on special flags to use when
building universal binaries to prevent name mangling issues.

JDH

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Re: [Matplotlib-users] [matplotlib-devel] os x egg fubar?

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 3:59 PM, John Hunter jdh2...@gmail.com wrote:

 Just a quick comment -- the symbol _png_destroy_read_struct is not
 defined in the png sources I am using (png_destroy_read_struct is).
 Thus it looks like a C++ name mangling issue, probably introduced when
 the mpl c++ includes and links against the code.  Just throwing this
 out there in case anyone has advice on special flags to use when
 building universal binaries to prevent name mangling issues.

I *may*, repeat *may*, have had a breakthrough here.  It appears that
setting the universal flags on the make line is not enough -- they
must actually be exported (as Charlie's original notes indicate).
Please try again with the new OS X binaries at

https://sourceforge.net/project/showfiles.php?group_id=80706package_id=278194release_id=646644

I didn't do any clever renaming of the egg this time -- just focusing
on the png name manging error.

Fingers crossed,
JDH

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Re: [Matplotlib-users] [matplotlib-devel] os x egg fubar?

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 3:17 PM, Christopher Barker
chris.bar...@noaa.gov wrote:

   python myfile.py -dPS

 same error -- why does it need to use png at all with PS?

Chris,

Thanks for all the tests.  The image module uses _png.  Even the
vector backends need raster images.  We could move the import into the
method when it is actually called, since we actually embed the images
directly into the ps and do not go via png.

 Could you also test the mpkg zip file -- I am curious if that shows
 the same png problems for you.

 same errors as the egg.

 Can you test on PPC?

I do have an old, clunky OSX 10.3 machine at home.  A little afraid to
go there :-(


 I recently had a problem with a wxPython extension -- it build Universal,
 but only worked on Intel. It turns out that the wxPython binaries were
 compiled differently on PPC and Intel -- using an older version of gcc on
 PPC (for 10.3 compatibility maybe?). Anyway, it was a mess, but we fixed it
 by compiling the extension separately with a bunch of different flags, then
 lipo-ing the two binaries together.

 Could anything funky like that be going on here?

Could be -- you can check the Makefile to get a look at the flags I am
using and let me know if you have any suggestions

http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/release/osx/Makefile?view=markup

JDH

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Re: [Matplotlib-users] different PNG and PDF output...

2008-12-16 Thread John Hunter
On Tue, Dec 16, 2008 at 7:06 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:

 ps. John, are you releasing a new maintenance version? I'm afraid that
 my previous patch broke one of the example. Sorry, I thought the fix
 was obvious and didn't pay much attention.

Yes, and I had just completed a round of testing when I saw your patch
come in and included it w/o further testing (stupid).  In any case,
there are still a couple of bug fixes and optimizations that are in
progress, and I will continue to push these out as they become
available.  The tarball and OSX binaries will soon be almost fully
automated, and when we stabilize the 98.5 branch, Charlie can post an
update to the win32 binaries.  I plan to cut another bugfix release
tomorrow in any case.

JDH

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Re: [Matplotlib-users] Correct usage of Mpl backend...

2008-12-15 Thread John Hunter
On Mon, Dec 15, 2008 at 6:20 AM, vehemental jimmy.pail...@gmail.com wrote:

 The program is working as expected...except memory wise...the program keeps
 growing...
 each time plot is pressed it's growing...I believe it's due to some poor
 programming on my side, but I can't really put my finger on it right now. I
 suspect that I have 2 competing mainloop maybe but i' m not really sure

By default matplotlib overplots, so every time you call plot a new
line is added to the canvas.  You can turn this behavior off using the
hold method

  ax.hold(False)

or setting the axes.hold rc parameter -- see
http://matplotlib.sourceforge.net/users/customizing.html

JDH

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Re: [Matplotlib-users] Correct usage of Mpl backend...

2008-12-15 Thread John Hunter
On Mon, Dec 15, 2008 at 9:44 AM, John Hunter jdh2...@gmail.com wrote:

 By default matplotlib overplots, so every time you call plot a new
 line is added to the canvas.  You can turn this behavior off using the
 hold method

Sorry, on second look it appears you have a more serious problem.
Typically you want to create your figure and canvas just once and add
it to your GUI.  And then when the user clicks plot, just draw to the
existing axes

def __init__():
self.figure = some code
self.canvas = some code
self.axes = some code

def onclick(self):
self.axes.cla()  # clear if you want
self.axes.plot(something)

Ie, you want to reuse the same figure/canvas/axes instead of
recreating them all the time

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Re: [Matplotlib-users] Error installing matplotlib 0.98.5

2008-12-15 Thread John Hunter
On Mon, Dec 15, 2008 at 9:45 AM, Alexander Chemeris
alexander.cheme...@gmail.com wrote:

 I experience the same problem. Full shell session (of one
 command ;) is following:

 ~$ sudo easy_install matplotlib
 Searching for matplotlib
 Reading http://pypi.python.org/simple/matplotlib/
 Reading http://matplotlib.sourceforge.net
 Reading
 https://sourceforge.net/project/showfiles.php?group_id=80706package_id=278194
 Reading
 https://sourceforge.net/project/showfiles.php?group_id=80706package_id=82474
 Reading http://sourceforge.net/project/showfiles.php?group_id=80706
 Best match: matplotlib 0.98.5
 Downloading
 http://downloads.sourceforge.net/matplotlib/matplotlib-0.98.5.tar.gz?modtime=1229034572big_mirror=0
 Processing matplotlib-0.98.5.tar.gz
 Running matplotlib-0.98.5/setup.py -q bdist_egg --dist-dir
 /tmp/easy_install-fpPLdN/matplotlib-0.98.5/egg-dist-tmp-0LZ25S
 ...snip
 error: lib/matplotlib/mpl-data/matplotlib.conf.template: No such file or
 directory
 Exception exceptions.OSError: (2, 'No such file or directory',
 'src/image.cpp') in bound method CleanUpFile.__del__ of
 setupext.CleanUpFile instance at 0x2fd7d40 ignored
 Exception exceptions.OSError: (2, 'No such file or directory',
 'src/path.cpp') in bound method CleanUpFile.__del__ of
 setupext.CleanUpFile instance at 0x2fd7200 ignored
 Exception exceptions.OSError: (2, 'No such file or directory',
 'src/backend_agg.cpp') in bound method CleanUpFile.__del__ of
 setupext.CleanUpFile instance at 0x2fd7b90 ignored

I can replicate it too, and I think I am getting some insight into
what is going on and it may point to a distutils and/or easy_install
bug (but one we can work around).

The file in question is matplotlib.conf.template, which exists in
lib/matplotlib/mpl-data.  There is a symlink in doc/mpl_data which
points to lib/matplotlib/mpl-data.  Eg in the mpl src tree::

jdhun...@bic128:mpl ls -ld lib/matplotlib/mpl-data/ doc/mpl_data
lrwxrwxrwx 1 jdhunter jdhunter   27 Jun  2  2008 doc/mpl_data -
../lib/matplotlib/mpl-data/
drwxrwxr-x 6 jdhunter jdhunter 4096 Dec 10 13:09 lib/matplotlib/mpl-data/

Now create the sdist::

jdhun...@bic128:mpl python setup.py sdist  sdist.out
jdhun...@bic128:mpl grep matplotlib.conf.template sdist.out
hard linking doc/mpl_data/matplotlib.conf.template -
matplotlib-0.98.5/doc/mpl_data
hard linking lib/matplotlib/mpl-data/matplotlib.conf.template -
matplotlib-0.98.5/lib/matplotlib/mpl-data

If we create an sdist, the symlink is backwards: the tarball says
lib/matplotlib/mpl-data/matplotlib.conf.template links to
doc/mpl_data/matplotlib.conf.template and has zero content

jdhun...@bic128:tmp tar tvfz matplotlib-0.98.5.tar.gz |grep
matplotlib.conf.template
-rw-r--r-- cmoad/staff   13838 2008-12-09 17:53
matplotlib-0.98.5/doc/mpl_data/matplotlib.conf.templatehrw-r--r--
cmoad/staff   0 2008-12-09 17:53
matplotlib-0.98.5/lib/matplotlib/mpl-data/matplotlib.conf.template
link to matplotlib-0.98.5/doc/mpl_data/matplotlib.conf.template


If you unpack the tarball using a standard incantation, a copy is made::

jdhun...@bic128:tmp tar xfz matplotlib-0.98.5.tar.gz
jdhun...@bic128:tmp cd matplotlib-0.98.5/
jdhun...@bic128:matplotlib-0.98.5 ls -ld
doc/mpl_data/matplotlib.conf.template
lib/matplotlib/mpl-data/matplotlib.conf.template
-rw-r--r-- 2 jdhunter jdhunter 13838 Dec  9 17:53
doc/mpl_data/matplotlib.conf.template
-rw-r--r-- 2 jdhunter jdhunter 13838 Dec  9 17:53
lib/matplotlib/mpl-data/matplotlib.conf.template

I think what may be happening is that setuptools are reading the
tarball using the python tarfile reader and the link is getting
botched.  However, I can read the missing file using tarfile::

In [17]: import tarfile

In [18]: t = tarfile.open('dist/matplotlib-0.98.5.tar.gz')

In [19]: o =
t.extractfile('matplotlib-0.98.5/lib/matplotlib/mpl-data/matplotlib.conf')

In [20]: s = o.read()

In [21]: print s[:80]
# MPLConfig - plaintext (in .conf format)

# This is a sample matplotlib configu

So I am not sure exactly what is going wrong but I think broken
handling of the link is playing a role.  I will probably work around
this by removing the links and making hard copies myself before
building the sdist and eggs, unless I hear something more intelligent
from someone or come up with something better.

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Re: [Matplotlib-users] imshow with pdf

2008-12-15 Thread John Hunter
On Mon, Dec 15, 2008 at 11:04 AM, Jouni K. Seppänen j...@iki.fi wrote:

 The (812 pixels high) image has been embedded in a png of height 617,
 but in the pdf file it has height 446. 446/617 is about .72, so the
 problem must be that the pdf backend forces the dpi to 72, while the png
 file is being saved with dpi=100. There is a TODO comment in the pdf
 backend about figure resolution that I added in February but never got
 around to fixing. I'll take a closer look at this later.

Thanks for looking into this Jouni -- please make sure to fix in the
branch and merge to the trunk, as described in
http://matplotlib.sourceforge.net/devel/coding_guide.html#using-svnmerge

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Re: [Matplotlib-users] Bug in ubuntu intrepid

2008-12-15 Thread John Hunter
On Mon, Dec 15, 2008 at 12:22 PM, Alejandro Weinstein
alejandro.weinst...@gmail.com wrote:
 Hi:

 Is anybody aware of the MPL bug on Ubuntu intrepid?

 https://bugs.launchpad.net/ubuntu/+source/matplotlib/+bug/299381


Thanks for the head's up -- I posted a comment with a suggestion about
what may be going on.

JDH

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Re: [Matplotlib-users] figimage and image magnification (was: imshow with pdf)

2008-12-15 Thread John Hunter
On Mon, Dec 15, 2008 at 2:21 PM, Jouni K. Seppänen j...@iki.fi wrote:
 John Hunter jdh2...@gmail.com writes:

 I'll take a closer look at this later.

 Thanks for looking into this Jouni -- please make sure to fix in the
 branch and merge to the trunk, as described in
 http://matplotlib.sourceforge.net/devel/coding_guide.html#using-svnmerge

 I have a patch (attached) that fixes this case but breaks figimage. It
 seems to me that the bug is in figimage, but with the current pdf
 backend (which forces dpi=72 for all images) it happens to work right.
 I'm a little wary of making this change on the maintenance branch
 without also fixing figimage, and I don't really know how to fix
 figimage.

 The bug in the pdf backend is that it forces dpi=72, because in PDF 1.4
 there are always 72 points to an inch. (In some later versions the scale
 can be changed, but never mind that for now.) This is a problem because
 sometimes people want to have their figures at a higher resolution. The
 attached patch adds an image_dpi variable to the pdf backend and uses it
 like the ps backend does: get_image_magnification() returns
 image_dpi/72.0, and the width and height of images are divided by this
 magnification factor.

I am not sure what figimage should mean for a vector backend so I want
to hear from Perry who motivated the function.  When I implemented it
on his original request, I understood it to be a raw pixel dump to the
canvas with no scaling, no interpolation, etc  What does a pixel
dump to a canvas mean for a vector backend?   I think we could define
something that was at least consistent, but we should probably hear
from Perry et al who are presumably using the function.

JDH

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Re: [Matplotlib-users] Error installing matplotlib 0.98.5

2008-12-15 Thread John Hunter
On Mon, Dec 15, 2008 at 2:49 PM, Mauro Cavalcanti mauro...@gmail.com wrote:

 'src/backend_agg.cpp') in bound method CleanUpFile.__del__ of
 setupext.CleanUpFile instance at 0x874ab2c ignored

 But everthing seems to be working OK, as I tested my application with
 the newly installed version and it runs without crashes.

Yes, this is the cruft I referred to earlier in my email.  distutils
is putting copies of all our _somefile.cpp into the tarball as
somefile.cpp (leading underscore stripped).  I'm attaching my post to
the distutils-sig mailing list just in case anyone here has any
insight.  I think the warnings are harmless, but they are irritating

distutils-sig post


I am seeing some strange behavior in files with leading underscores.
I have some python extension code with names like::

 src/_somefile.cpp

and in my sdist they are being added in duplicate, one with the
leading underscore removed.

 src/somefile.cpp
 src/_somefile.cpp

This is causing easy_setup to complain at the end about not being able
to remove certain files.

 jdhun...@bic128:mpl98.5 find . -name backend_agg.cpp
 jdhun...@bic128:mpl98.5 find . -name _backend_agg.cpp
 ./src/_backend_agg.cpp
 jdhun...@bic128:mpl98.5 python setup.py sdist  sdist.out
 jdhun...@bic128:mpl98.5 grep backend_agg.cpp sdist.out
 copying src/_backend_agg.cpp - matplotlib-0.98.5.1/src
 copying src/backend_agg.cpp - matplotlib-0.98.5.1/src

When I run easy_install on the src tarball, I then get::

 Installed 
/home/jdhunter/devez/lib/python2.5/site-packages/matplotlib-0.98.5.1-py2.5-linux-x86_64.egg
 Processing dependencies for matplotlib==0.98.5.1
 Finished processing dependencies for matplotlib==0.98.5.1
 Exception exceptions.OSError: (2, 'No such file or directory',
'src/image.cpp') in bound method CleanUpFile.__del__ of
setupext.CleanUpFile instance at 0x29bb440 ignored
 Exception exceptions.OSError: (2, 'No such file or directory',
'src/path.cpp') in bound method CleanUpFile.__del__ of
setupext.CleanUpFile instance at 0x29ba8c0 ignored
 Exception exceptions.OSError: (2, 'No such file or directory',
'src/backend_gdk.c') in bound method CleanUpFile.__del__ of
setupext.CleanUpFile instance at 0x7fe8fa2ee998 ignored
 Exception exceptions.OSError: (2, 'No such file or directory',
'src/backend_agg.cpp') in bound method CleanUpFile.__del__ of
setupext.CleanUpFile instance at 0x29bb290 ignored

Using the standard distutils with python 2.5.1

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[Matplotlib-users] New OSX installers (beta)

2008-12-14 Thread John Hunter
I *think* I may have figured out what is causing some of the dynamic
linkage problems several of you have reported on our OSX installers.
I have build a new egg snapshot, and better yet, and new binary mpkg
installer for OSX.  Give them a try:

  
http://matplotlib.sourceforge.net/snapshots/matplotlib-0.98.5-py2.5-macosx10.5.zip
 (binary package installer)
  
http://matplotlib.sourceforge.net/snapshots/matplotlib-0.98.5_r0-py2.5-macosx-10.3-fat.egg
 (binary egg)

and let me know if these fix the problems you all are having.

Fingers crossed,
JDH

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Re: [Matplotlib-users] Fuzzy plots of ode solutions

2008-12-13 Thread John Hunter
On Sat, Dec 13, 2008 at 9:38 AM, John Hunter jdh2...@gmail.com wrote:

 My guess is that you may be seeing the antialiasing of your pdf
 renderer.  matplotlib has a pretty good antialiasing renderer for the
 screen display (antigrain) but your mileage may vary for your pdf
 renderer.  Since pdf is a vector output, we have no control over the
 renderering.  What pdf viewer are you using?  The best way for us to
 see what you are seeing is to take a PNG screenshot of your PDF file
 displayed in your viewer and then post the PNG.  Ie, here is what I am
 seeing in the Preview app: the fuzziness is from the antialiasing, but
 I am used to seeing this.


One more thought -- you should be able to turn off the antialiased
property, eg with

  plot(x, y, antialiased=False)

Unfortunately, I poked into our backend_pdf and it appears this
property is ignored.  Jouni: is there a way to turn off antialiasing
in PDF, and could we add support for this in the backend?

Thanks,
JDH

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Re: [Matplotlib-users] problem with matplotlib-0.98.5-py2.5-macosx-10.3.egg

2008-12-13 Thread John Hunter
On Sat, Dec 13, 2008 at 3:01 PM, Robin robi...@gmail.com wrote:

 As in my other mail I am having trouble building from source.
 Previously I used the mac .egg to get around this, but the
 matplotlib-0.98.5-py2.5-macosx-10.3.egg for 0.98.5 doesn't appear to
 work.

I think the egg may be broken. Try grabbing the tarball and following
the instructions at

  http://ipython.scipy.org/moin/Py4Science/InstallationOSX

or

  http://ipython.scipy.org/moin/MatplotlibOSXBuildNotes

I will see if we can do something about the os x egg situation, but
the above may be the path of least resistance right now.

JDH

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Re: [Matplotlib-users] use of del() to delete a line

2008-12-11 Thread John Hunter
On Thu, Dec 11, 2008 at 7:56 AM, TP [EMAIL PROTECTED] wrote:
 TP wrote:

 I have a question about the behavior of del() Python built-in.

 Ok, del only removes a name from the local namespace.
 I have found an old answer of John, below. It seems that a better solution
 is to use the remove method of a line instance:

 http://osdir.com/ml/python.matplotlib.general/2005-05/msg00045.html

 Until now, I used del which works well when the complete object hierarchy
 is given...

The line is stored in axes.lines list, so simply deleting it will not
work because there is a reference to it in the list.  You need to
remove it from the list, as you inidicate.  See also

http://matplotlib.sourceforge.net/users/artists.html

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Re: [Matplotlib-users] when the same Line2D is plot on two subplots, it disappears on the two subplots

2008-12-11 Thread John Hunter
On Thu, Dec 11, 2008 at 10:19 AM, TP [EMAIL PROTECTED] wrote:
 Hi,

 I use matplotlib 0.91.2.
 When I plot the same Line2D on two subplots, it disappears: execute the
 following script:

 ###
 from pylab import *
 ion()
 f = figure()
 s = f.add_subplot(211)
 curve = matplotlib.lines.Line2D([0,1],[0,1],color='m')
 s.add_line( curve )
 s2 = f.add_subplot(212)
 draw()
 raw_input('press a key to delete a line to second subplot')
 s2.add_line( curve )
 s2.lines[-1].figure.canvas.draw()
 print s2.lines[-1].get_visible()
 raw_input('press a key to quit')
 ###

 What is the reason for this behavior?

The lines get their transforms from the axes they reside in -- you
can't share a line on multiple axes

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[Matplotlib-users] ANN: matplotlib-0.98.4

2008-12-10 Thread John Hunter
We have just released a new version of matplotlib, available for download at


https://sourceforge.net/project/showfiles.php?group_id=80706package_id=278194release_id=646146

These what's new release notes, with graphs and links, are available in
html at

  http://matplotlib.sourceforge.net/users/whats_new.html

Thanks to Charlie Moad for testing and preparing the source release,
including binaries for OS X and Windows for python 2.4 and 2.5 (2.6
and 3.0 will not be available until numpy is available on those
releases).  Thanks to the many developers who contributed to this
release, with contributions from Jae-Joon Lee, Michael Droettboom,
Ryan May, Eric Firing, Manuel Metz, Jouni K. Seppaenen, Jeff Whitaker,
Darren Dale, David Kaplan, Michiel de Hoon and many others who
submitted patches


What new in 0.98.4
==

It's been four months since the last matplotlib release, and there are
a lot of new features and bug-fixes

Legend enhancements


Jae-Joon has rewritten the legend class, and added support for
multiple columns and rows, as well as fancy box drawing.  See


http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.legend

http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.legend.Legend

http://matplotlib.sourceforge.net/examples/pylab_examples/legend_demo3.html


Fancy annotations and arrows
-

Jae-Joon has added lot's of support to annotations for drawing fancy
boxes and connectors in annotations.  See



http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.annotate

http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.patches.BoxStyle

http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.patches.ArrowStyle

http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.patches.ConnectionStyle

http://matplotlib.sourceforge.net/examples/pylab_examples/annotation_demo2.html


Native OS X backend


Michiel de Hoon has provided a native Mac OSX backend that is almost
completely implemented in C. The backend can therefore use Quartz
directly and, depending on the application, can be orders of magnitude
faster than the existing backends. In addition, no third-party
libraries are needed other than Python and NumPy. The backend is
interactive from the usual terminal application on Mac using regular
Python. It hasn't been tested with ipython yet, but in principle it
should to work there as well.  Set 'backend : macosx' in your
matplotlibrc file, or run your script with::

 python myfile.py -dmacosx

psd amplitude scaling
-

Ryan May did a lot of work to rationalize the amplitude scaling of
:func:`~matplotlib.pyplot.psd` and friends.  The changes should
increase MATLAB (TM) compatabililty and increase scaling options.


http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.psd

http://matplotlib.sourceforge.net/examples/pylab_examples/psd_demo2.html#pylab-examples-psd-demo2

http://matplotlib.sourceforge.net/examples/pylab_examples/psd_demo3.html#pylab-examples-psd-demo3

Fill between
--

Added a fill_between function to make it easier to do shaded region
plots in the presence of masked data.  You can pass an *x* array and a
*ylower* and *yupper* array to fill betweem, and an optional *where*
argument which is a logical mask where you want to do the filling. See


http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.fill_between

http://matplotlib.sourceforge.net/examples/pylab_examples/fill_between.html


Lots more
---

Here are the 0.98.4 notes from the CHANGELOG::

Added mdehoon's native macosx backend from sf patch 2179017 - JDH

Removed the prints in the set_*style commands.  Return the list of
pprinted strings instead - JDH

Some of the changes Michael made to improve the output of the
property tables in the rest docs broke of made difficult to use
some of the interactive doc helpers, eg setp and getp.  Having all
the rest markup in the ipython shell also confused the docstrings.
I added a new rc param docstring.harcopy, to format the docstrings
differently for hardcopy and other use.  Ther ArtistInspector
could use a little refactoring now since there is duplication of
effort between the rest out put and the non-rest output - JDH

Updated spectral methods (psd, csd, etc.) to scale one-sided
densities by a factor of 2 and, optionally, scale all densities by
the sampling frequency.  This gives better MatLab
compatibility. -RM

Fixed alignment of ticks in colorbars. -MGD

drop the deprecated new keyword of np.histogram() for numpy 1.2
or later.  -JJL

Fixed a bug in svg backend that new_figure_manager() ignores
keywords arguments such as figsize, etc. -JJL

Fixed a bug that the handlelength of the new legend class set too
short when numpoints=1 -JJL

Added 

Re: [Matplotlib-users] Anyone see this after upgrading?

2008-12-10 Thread John Hunter
On Wed, Dec 10, 2008 at 5:01 PM, Ryan Wagner [EMAIL PROTECTED] wrote:

  Just upgraded to 98.4. Can reproduce this on two XP32 boxes. Any
 thoughts?


This is a bug in the win32 installer, which has gtkagg set as the default
backend.  You can fix this by setting TkAgg in the backend, which is what we
*should* have done in the installer.  You need to change the line

  backend : GTKAgg

to

  backend : TkAgg

in your matplotlibrc config file.  Instructions for editing the rc file can
be found at http://matplotlib.sourceforge.net/users/customizing.html.  You
can also read about what is a backend? here -
http://matplotlib.sourceforge.net/faq/installing_faq.html#id1

We will be putting out new installers that fix this problem ASAP, so those
of you who on windows who have not yet installed 98.4 may prefer to wait
until we announce the fixed installers are up.  This problem does not affect
the src tarball or the os x installers.

Sorry for the trouble!
JDH
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Re: [Matplotlib-users] blit example on MacOS with ipython

2008-12-10 Thread John Hunter
On Wed, Dec 10, 2008 at 5:20 PM, pierre garrigues 
[EMAIL PROTECTED] wrote:


 # create the initial line
 x = np.linspace(-3, 3, 1000)
 line, = plt.plot(x, np.sin(x), animated=True)

 # save the clean slate background -- everything but the animated line
 # is drawn and saved in the pixel buffer background
 background = canvas.copy_from_bbox(ax.bbox)


It looks to me that you need to force a figure draw *before* doing
copy_from_bbox.  Eg::

fig.canvas.draw()
background = canvas.copy_from_bbox(ax.bbox)

The reason you are seeing a difference between ipython run and ipython
copy-and-paste is that in run mode ipython turns interactive drawing off
(for details see http://matplotlib.sourceforge.net/users/shell.html) so the
draw event is never called, and the cached renderer, which is triggering
your exception, is never set.

This is speculation, as I haven't tested, so please answer back if this
fixes your problem and if so I will update the matplotlib animation recipe
which also suffers from this problem (which is not exposed unless you are
running in interactive mode, which you are).  It is on my list of things to
do to write a proper animation chapter for the user's guide

JDH
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Re: [Matplotlib-users] MPL colors

2008-12-09 Thread John Hunter
On Tue, Dec 9, 2008 at 1:01 PM, Mauro Cavalcanti [EMAIL PROTECTED] wrote:
 Dear ALL,

 MPL accepts several formats for passing color information for the
 plotting methods (plot, xlabel, ylabel, etc.) and these are well
 documented. The set_color() and other methods in
 matplotlib.Lines.Line2D accept all these formats, but I could not
 figure out how to retrieve the current color of a plot using the
 get_color() method in a format other than the 'b', 'r', 'g', etc.
 predefined color symbols! I would instead like to be able to retrieve
 the current color in RGB hex or HTML format. Is it possible?

Yep, we have a color converter for that -- it recognizes any mpl color
string and returns rgba:

In [72]: from matplotlib.colors import colorConverter

In [73]: colorConverter.to_rgba('b')
Out[73]: (0.0, 0.0, 1.0, 1.0)

In [74]: colorConverter.to_rgba('blue')
Out[74]: (0.0, 0.0, 1.0, 1.0)

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Re: [Matplotlib-users] Matplotlib PSD bug?

2008-12-08 Thread John Hunter
On Mon, Dec 8, 2008 at 9:10 AM, Fago, Matt - AES [EMAIL PROTECTED] wrote:

 So what is to be done here? It seems to me that at least the factor of two 
 should be
 fixed for one-sided PSDs, and the 1/fs normalization difference with Matlab
 documented. Ideally, I'd think this normalization would be on by default, 
 with the
 option to turn it off.

 Are you planning to submit a patch, or shall I look into it? If I submit a 
 patch, does matplotlib
 require a copyright assignment?

If you submit a patch, we assume you are agreeing to the mpl licensing
terms, so you do not need to explicitly do anything. As for the
decision about how the defaults and kwargs should behave, I'll defer
to you and Ryan.

JDH

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Re: [Matplotlib-users] Matplotlib PSD bug?

2008-12-08 Thread John Hunter
On Mon, Dec 8, 2008 at 10:56 AM, Ryan May [EMAIL PROTECTED] wrote:

 My only other concern is whether this belongs in 0.98.x.  This is a behavior
 change from 0.98.3, not necessarily a bug fix.  I'll defer to John, et al.
 on whether this should go in 0.98.x or go in a later release.

It's a judgement call, but we have always had new features and minor
API changes in the point releases.  Except on the 0.91 maintenance
branch, which is only bugfix, we have continuously added   new stuff
on every release.  When the breakage is likely to be difficult, or the
new feature really significant, we will push the major version.  I
don't think these changes are so significant that they require waiting
until a new major version number, but you may want to consider issuing
a warning in addition to the requisite explanation in the docstring
and CHANGELOG.

JDH

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Re: [Matplotlib-users] using color as z-axis for plots

2008-12-08 Thread John Hunter
On Mon, Dec 8, 2008 at 12:45 PM, Chad Kidder [EMAIL PROTECTED] wrote:
 I've got many series of data that I want to plot, and each has an
 additional scalar that is valid for the whole series.  What I want to
 do is plot all these series on top of each other (plot can do this
 just fine), but with the additional scalar changing the color,
 efectively using color as the z-axis.  I'm not seeing how to do that.
 If there was a function where I could give a color map a value and it
 would spit out the color, that would work, but I haven't seen it.
 Thanks for your help.


Check out the scatter_demo -- scatter takes an optional argument 'c'
for the color and an optional colormap

http://matplotlib.sourceforge.net/users/screenshots.html#scatter-demo





 --Chad Kidder



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[Matplotlib-users] fancy patch formatting breaking tex document

2008-12-08 Thread John Hunter
In the Curve class of patches.py, where we are doing:

_style_list[-] = Curve

and interpolating this into a rest table via patches._pprint_styles,
which looks like this::

   ==   =
Class  Name Attrs
   ==   =
Curve  -None
CurveB -   head_length=0.4,head_width=0.2
BracketB   -[   widthB=1.0,lengthB=0.2,angleB=None
CurveA -   head_length=0.4,head_width=0.2
CurveAB-  head_length=0.4,head_width=0.2
Fancy  fancyhead_length=0.4,head_width=0.4,tail_width=0.4
Simple simple   head_length=0.5,head_width=0.5,tail_width=0.2
Wedge  wedgetail_width=0.3,shrink_factor=0.5
   ==   =


tex is inserting the following into the tex doc::

   Curve
 \begin{itemize}
   \item {}
   \end{itemize}

   None
   \\

It looks like it thinks the hyphen is starting an itemize list, and
this is breaking the tex table environment.  Any ideas how to fix
this?

For now, I am going to quote the Name column with single quotes, eg '-' and '-'

Thanks,
JDH

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Re: [Matplotlib-users] Matplotlib and Python 3

2008-12-04 Thread John Hunter
On Thu, Dec 4, 2008 at 8:42 PM, David Cournapeau
[EMAIL PROTECTED] wrote:

 Quick question. Is matplotlib python 3 compatible? Has anyone switched to 
 python
 3? Anecdotally, how much of a pain is it to switch over, if you use common
 scientific libraries such as PIL and VTK?


 matplotlib depends on numpy, and numpy on python 3 won't be finished
 anytime soon - it will be a huge task.

mpl also depends on CXX for extension code.  I was heartened to see
that the python 3 migration is well underway in CXX svn.  Since this
is most of our extension code, hopefully it will insulate from serious
difficulties porting the extension code.  But we will have to wait for
CXX and numpy before we can do serious work.

JDH

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Re: [Matplotlib-users] unexpected keyword argument error while running legend_demo3.py

2008-12-03 Thread John Hunter
On Wed, Dec 3, 2008 at 9:15 AM, Nitin Bhide [EMAIL PROTECTED] wrote:
 Hi,

 I am getting following error while running the 'legend_demo3.py' from the 
 examples.

 exec codeObject in __main__.__dict__
  File D:\nitinb\SoftwareSources\SVNPlot\legendtest.py, line 13, in module
ax1.legend(loc=1, ncol=3, shadow=True)
  File F:\Python25\Lib\site-packages\matplotlib\axes.py, line 3617, in legend
self.legend_ = mlegend.Legend(self, handles, labels, **kwargs)
 TypeError: __init__() got an unexpected keyword argument 'ncol'

 I am using ActivePython version 2.5.2 and Matplotlib version 0.98.3

We use the svn version of matplotlib to generate the website, and ncol
is a recent feature not in the main release yet.  You can checkout the
svn code following the instructions at
http://matplotlib.sourceforge.net/devel/coding_guide.html

I have added a note on the gallery warning people that not all the
images are available in the latest release with a pointer to the svn
instructions.

But we would like to get a release out ASAP!

JDH

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Re: [Matplotlib-users] pylab or not... crashes or not

2008-12-02 Thread John Hunter
On Tue, Dec 2, 2008 at 12:09 PM, Eric Emsellem
[EMAIL PROTECTED] wrote:

 Really annoying but as mentioned before, I cannot get a set of commands which
 consistenly break the session, so...

Since there does not appear to be an easy diagnosis or fix, you may
want to consider switching your backend to the non-threaded tkagg

JDH

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Re: [Matplotlib-users] plot with drop shadow

2008-12-01 Thread John Hunter
On Mon, Dec 1, 2008 at 9:17 AM, Nate [EMAIL PROTECTED] wrote:
 Is there a way to plot lines with drop shadows?


Nothing built-in -- but you can fake it::

import matplotlib.pyplot as plt
import numpy as np

t = np.arange(0.0, 2.0, 0.01)
s = np.sin(2*np.pi*t)

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(t+0.01, s-0.01, color='gray', lw=2)
ax.plot(t, s, color='blue', lw=3)
plt.show()

JDH

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Re: [Matplotlib-users] pylab or not... crashes or not

2008-12-01 Thread John Hunter
On Mon, Dec 1, 2008 at 1:08 PM, Eric Emsellem
[EMAIL PROTECTED] wrote:
 Hi

 this may be a known problem (didn't find anything on this issue) but here it 
 is:

 - when I start a session with ipython -pylab I often get crashes with my
 session. When I mean often, it means really often like once everything 1/2h 
 or
 so. A crash means that the command I just sent gets stuck and the only way for
 me to get it back is to kill the PID of the ipython process...

 The problem is that it is almost impossible to reproduce a systematic 
 behaviour
 there so I cannot really send you a list of commands which results in a crash.
 It just happens (often). However, after someone suggested it, I now enter
 Ipython by a simple ipython and do immediately from pylab import *. And 
 then
 I have NO crashes whatsoever.

 any suggestion there? Is that normal?

It is definitely not normal -- it almost never happens to me.  Does it
help if you run TkAgg instead of GTKAgg.  Are you importing/using
anything else when this is happening?  What version of numpy are you
running?

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Re: [Matplotlib-users] plot with drop shadow

2008-12-01 Thread John Hunter
On Mon, Dec 1, 2008 at 2:43 PM, twentypoundtrout
[EMAIL PROTECTED] wrote:

 So there is no way to say plot a line.  Grab that image.  Apply a standard
 SVG filter (like Gaussian). And overlay the blur?  I do not know the PIL
 well enough to know if this is feasible.

You can do this using an external program -- see for example
http://abitofpythonabitofastronomy.blogspot.com/2008/10/svg.html.  It
would be challenging to implement something like this internally
across output formats I think, but we recently added some features to
make it easier to use an svg editor for filtering mpl objects.  See
also this thread

http://www.nabble.com/SVG-clickable-images-td20236869.html#a20236869

JDH

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Re: [Matplotlib-users] Matplotlib PSD bug?

2008-12-01 Thread John Hunter
On Mon, Dec 1, 2008 at 3:40 PM, Andrew Straw [EMAIL PROTECTED] wrote:

 I appreciate the work you're doing on this, and while I don't have any
 very strong opinions on the API questions you raise, I would request
 that you include in the docstrings information at least at the level of
 the above, listing the scaling issue, the sources you've followed and
 how and why you've chosen to follow them or deviate, and differences
 with the default behavior of other software. I recently helped a
 colleague use Matlab's PSD/pwelch functions and had to spend some time
 sending in sine waves of various frequencies and amplitudes to figure
 out what the results meant. If matplotlib gives different results by
 default, I think it should 1) justify why and 2) indicate what option(s)
 may be set to get results equivalent to other systems, including Matlab.

My preference is to strive for matlab compatability here.  I am pretty
sure it was compatible with matlab in my original tests to several
significant digits, but I no longer have the test code and my memory
is fuzzy because it was over 5 years ago.  But I intended this
function to be matlab compatible, and if it is not I would prefer to
see it compatible even if it means breaking some existing code.  It is
possible that the original code did not scale with sampling frequency
and was compatible, but over time we've made enhancements that broke
compatibility.  Its been a long time since I used and tested against
matlab.

If there is good reason to add support for an alternate scaling, we
can easily support it with kwargs.  But since the signature and
origins of this function were matlab compatibility, I think it is
least confusing if the default output has similar scaling.

JDH

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Re: [Matplotlib-users] plotting a matplotlib.lines.Line2D instance directly

2008-11-29 Thread John Hunter
On Sat, Nov 29, 2008 at 6:48 AM, TP [EMAIL PROTECTED] wrote:
 Hi everybody,

 In my own application, I want to specialize matplotlib.lines.Line2D to be
 able to deal with units.
 Concerning this class, is there a direct means to plot instances?

 For example, if I do:

 a=matplotlib.lines.Line2D([5,6],[7,8],color='m')

You can add it directly to the Axes/Subplot instance with

ax.add_line(a)

See also the 
http://matplotlib.sourceforge.net/examples/pylab_examples/clippedline.html
example which shows how to create a custom, derived line class.

JDH

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Re: [Matplotlib-users] Plotting a list of lines

2008-11-29 Thread John Hunter
On Thu, Nov 27, 2008 at 11:21 AM, Mauro Cavalcanti [EMAIL PROTECTED] wrote:

 Then, in a checkbox event, I do the following:

 index = event.GetSelection()
 plot = self.plot_list[index]
 if self.FileList.IsChecked(index):
   plot[0].set_visible(True)
 else:
   plot[0].set_visible(False)

 This works quite well and points are properly toggled on/off the Basemap.

 But then I want to plot minimum spanning trees connecting the point
 datasets. For this I do:

 n = len(nodes)
 for i in range(n):
   try:
   t = edges[i,0]-1
   u = edges[i,1]-1
   x = [nodes[t,0], nodes[u,0]]
   y = [nodes[t,1], nodes[u,1]]
  self.plot_list.append(map.ax.plot(x,y,'-b'))
   except:
   continue

 where nodes is the array of point coordinates and edges are the
 from/to indexes of the coordinates, computed with Prim's algorithm.
 The lines between points (representing the minimum spanning tree) are
 displayed OK. But then my problem appears: I cannot find a way to turn
 the entire tree (which is composed of n-1 line segments) on and off of
 the map in the same way I do with the points (as shown above). What I
 would like is to store all line segments inside the for loop, and then
 show the tree at once, outside the loop; so I could use the same
 plot[0].set_visible(True|False) I use for the points.

Hi Mauro,

Yes, you should be able to use a collection for this quite easily.
One comment first.  You never want to try/except and catch all
exceptions w/o handling them in some way.  If you want to catch a
specific exception, fine, or of you want to catch all of them and log
them and then reraise, also fine, but there is not good use case for
catching them all and then continuing silently.

Now, on to collections.  In your example above, you would simply do::

segments = []
n = len(nodes)
for i in range(n):
t = edges[i,0]-1
u = edges[i,1]-1
xt, yt = nodes[t,0], nodes[t,1]   # assuming xt, yt are scalars here
xu, yu = nodes[u,0], nodes[u,1]
segments.append( [ (xt,yt),  (xu,yu)  ] )

collection = collections.LineCollection(segments)

and later::

collection.set_visible(True|False)  # etc...

Hope this helps,

JDH

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Re: [Matplotlib-users] polar

2008-11-25 Thread John Hunter
On Tue, Nov 25, 2008 at 2:40 PM, Drain, Theodore R
[EMAIL PROTECTED] wrote:
 Michael,
 I think the issue is that there is no Unicode in the script that was attached 
 - it's just a simple polar call so the user isn't really Unicode.

 I think Unicode is starting to creep into the source in various places - we 
 just had a user point out that negative numbers are using a normal negative 
 sign ('-1.2') anymore but some kind of Unicode dash that's a lot bigger than 
 the normal one.  I wonder if this could be related...

 (If it matters, most of our users would rather have just the regular negative 
 sign and not embedded Unicode in the axis labels - it looks wrong to them and 
 makes doing any kind of processing of axis labels more difficult).

This was supposed to be a feature not a bug.  As far as I understand,
we are now using the proper minus sign which has the same width as the
horizontal part or a plus sign.  See

  http://en.wikipedia.org/wiki/Plus_sign#Plus_sign

in the section Character codes.  The hyphen, which doubles as a
minus sign in the ascii character set, is not the proper character for
typesetting.

I don't think this is the problem Nils is having, because the
character code for the minus sign is different (and in the formatter,
we explicitly convert this if usetex is True) in the
ScalarFormatter.fix_minus method.

If the unicode minus is sufficiently problematic for you, I can add an
rc param.  Something like

  axis.unicode_minus : True

The problem here appears to be in
matplotlib.projects.polar.ThetaFormatter.__call__, which uses the
degree symbol.  I think all we need to do is return the proper tex
string in this case.  Michael, does this look right to you:

def __call__(self, x, pos=None):
# \u00b0 : degree symbol
if rcParams['text.usetex'] and not rcParams['text.latex.unicode']:
return r$%d^\circ$ % ((x / npy.pi) * 180.0)
else:
return u%d\u00b0 % ((x / npy.pi) * 180.0)

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Re: [Matplotlib-users] polar

2008-11-25 Thread John Hunter
On Tue, Nov 25, 2008 at 3:16 PM, John Hunter [EMAIL PROTECTED] wrote:

 If the unicode minus is sufficiently problematic for you, I can add an
 rc param.  Something like

  axis.unicode_minus : True

Added as rc param 'axes.unicode_minus' in svn r6453 with example
examples/api/unicode_minus.py

But I definitely second Michael's suggestion -- you don't want to be
parsing ticklabels if you don't have too!

JDH

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Re: [Matplotlib-users] Problems with, LaTeX symbols, axes rescaling

2008-11-24 Thread John Hunter
On Mon, Nov 24, 2008 at 6:23 PM, Zane Selvans [EMAIL PROTECTED] wrote:

 whether it's just the fact that I'm using the SVN code.
 The first thing I noticed is that all of the LaTeX symbols I have in my
 plots are now messed up.  I could see this being a font issue... does anyone
 know how/where Matplotlib gets pointed at the LaTeX fonts?  And how I would
 check to see where it's looking, or whether it's not finding what it's
 looking for?  I'm not getting any errors - my greek letters just cease to be
 greek, and various text decorations (like \bar{D}) come out as other things
 altogether (like D, only with an Angstrom symbol over it...).

I suggest completely wiping your .matplotlib directory (saving only
your matplotlibrc if you have customized it).  matplotlib caches a
fair amount of font and latex rendering stuff.  I had a similar
problem on an upgrade with mathtext.  We are not sure why it is
happening yet, but it will probably go away if you rm -rf
~/.matplotlib.  Also, wipe your site-packages/matplotlib dir before
installing.  See

  
http://matplotlib.sourceforge.net/faq/installing_faq.html#cleanly-rebuild-and-reinstall-everything

To get more verbose information about what mpl is doing behind the
scense, run with


python myscript.py --verbose-debug

You can use --verbose-helpful for less output.

I think it might be a good idea for us to start using a versioned dir
structure for the cached data...


JDH

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Re: [Matplotlib-users] Problems with, LaTeX symbols, axes rescaling

2008-11-24 Thread John Hunter
On Mon, Nov 24, 2008 at 8:37 PM, Zane Selvans [EMAIL PROTECTED] wrote:

 On Nov 24, 2008, at 5:23 PM, John Hunter wrote:

 The first thing I noticed is that all of the LaTeX symbols I have in my

 plots are now messed up.  I could see this being a font issue... does anyone

 I suggest completely wiping your .matplotlib directory (saving only

 your matplotlibrc if you have customized it).  matplotlib caches a

 Thanks, this fixed it!
 Though, futzing with the LaTeX settings in the new matplotlibrc it appears
 that something about how/when it chooses when to format as tex has changed.
  If text.usetex is True, text in my labels and titles that is enclosed
 within $$'s gets typeset as tex, but apparently *all* of the xtick labels
 get set as mathtext - they're in the light/thin and slightly more difficult
 to read LaTeX font, and in my Basemap figures, the NSEW modifiers on the
 text objects indicating lat/lon direction are all italicised, as they would
 be were they enclosed in $$'s.  I don't seem to be able to get the
 relatively bold, sans-serif tick labels, while still preserving the ability
 to typeset math in my labels and titles...

We have two modes to render latex -- one is native TeX layout and uses
latex and dvipng, and is superior if you need all of TeX's
capabilities (eg an eqnarray), but the fonts are suboptimal.  The
other is mathtext, which will cover 98% of most users' math needs,
does not require a latex install because it is pure mpl, and uses
nicer fonts .  The docs are here:

  mathtext: http://matplotlib.sourceforge.net/users/mathtext.html
  usetex: http://matplotlib.sourceforge.net/users/usetex.html

I strongly encourage using mathtext over usetex, unless you need some
of the hairy stuff from TeX.

 (An aside: how does one go about decorating the Text objects that label the
 ticks?  I frequently have an axis whose units are degrees, and I'd rather
 just be able to append a $^\circ$ on the end of the text for the ticks,
 rather than have to say in the axis label [degrees].)

Use a custom formatter.  I'm freestyling here, so check the examples
linked to below

  import matplotlib.ticker as ticker
  formatter = ticker.FormatStrFormatter(r'$%1.2f^\circ$')
  ax.xaxis.set_major_formatter(formatter)

The API docs for the tick formatting and locating are here

  http://matplotlib.sourceforge.net/api/ticker_api.html

And code examples matching formatter are here

  http://matplotlib.sourceforge.net/search.html?q=codex+formatter

 If I set text.markup to 'tex', instead of 'plain' I get a complaint about it
 being invalid, with a pointer to a URL that no longer exists to obtain a new
 matplotlibrc:
 Bad key text.markup on line 162 in /Users/zane/.matplotlib/matplotlibrc.
 You probably need to get an updated matplotlibrc file
 from http://matplotlib.sf.net/matplotlibrc or from the matplotlib
 source distribution

I've updated the code in svn to point to the new location

  http://matplotlib.sourceforge.net/_static/matplotlibrc

See also http://matplotlib.sourceforge.net/users/customizing.html

JDH

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Re: [Matplotlib-users] create ListedColormap with different alpha values

2008-11-23 Thread John Hunter
On Sun, Nov 23, 2008 at 2:01 AM, Paul Ivanov [EMAIL PROTECTED] wrote:
 I took a stab at it, how does this look?

 I also took the liberty of adding alpha to LinearSegmentedColormap and
 updated its docstring changing two somewhat ambiguous uses of the word
 'entry' with 'key' and 'value'.

Hey Paul,

Thanks for taking this on.  I haven't tested this but I read the patch
and have some inline comments below.  Some additional comments:

  * the patch should include a section in the CHANGELOG and
API_CHANGES letting people know what is different.

  * you should run examples/tests/backend_driver.py and make sure all
the examples still run, checking the output of some of the mappable
types (images, scaltter, pcolor...)

  * it would be nice to have an example in the examples dir which
exercises the new capabilities.

See also, in case you haven't,
http://matplotlib.sourceforge.net/devel/coding_guide.html, which
covers some of this in more detail.

Thanks again!  Comments below:

Index: lib/matplotlib/colors.py
===
--- lib/matplotlib/colors.py(revision 6431)
+++ lib/matplotlib/colors.py(working copy)
@@ -452,7 +452,7 @@
 self._isinit = False


-def __call__(self, X, alpha=1.0, bytes=False):
+def __call__(self, X, alpha=None, bytes=False):
 
 *X* is either a scalar or an array (of any dimension).
 If scalar, a tuple of rgba values is returned, otherwise
@@ -466,9 +466,10 @@
 
You need to document what alpha can be here: what does None mean, can
it be an array, scalar, etc...

 if not self._isinit: self._init()
-alpha = min(alpha, 1.0) # alpha must be between 0 and 1
-alpha = max(alpha, 0.0)
-self._lut[:-3, -1] = alpha
+if alpha:

I prefer to explicitly use if alpha is None, since there are other
things that would test False (0, [], '') that you probably don't mean.

+alpha = min(alpha, 1.0) # alpha must be between 0 and 1
+alpha = max(alpha, 0.0)

You should be able to use np.clip(alpha, 0, 1) here, but we should
consider instead raising for illegal alpha values since this will be
more helpful to the user.  I realize some of this is inherited code
from before your changes, but we can improve it while making this
patch.

+self._lut[:-3, -1] = alpha
 mask_bad = None
 if not cbook.iterable(X):
 vtype = 'scalar'
@@ -558,9 +559,10 @@
 def __init__(self, name, segmentdata, N=256):
 Create color map from linear mapping segments

-segmentdata argument is a dictionary with a red, green and blue
-entries. Each entry should be a list of *x*, *y0*, *y1* tuples,
-forming rows in a table.
+segmentdata argument is a dictionary with red, green and blue
+keys. An optional alpha key is also supported. Each value
+should be a list of *x*, *y0*, *y1* tuples, forming rows in a
+table.

 Example: suppose you want red to increase from 0 to 1 over
 the bottom half, green to do the same over the middle half,
@@ -606,6 +608,8 @@
 self._lut[:-3, 0] = makeMappingArray(self.N,
self._segmentdata['red'])
 self._lut[:-3, 1] = makeMappingArray(self.N,
self._segmentdata['green'])
 self._lut[:-3, 2] = makeMappingArray(self.N,
self._segmentdata['blue'])
+if self._segmentdata.has_key('alpha'):
+self._lut[:-3, 3] = makeMappingArray(self.N,
self._segmentdata['blue'])

Is this what you meant?  I think you would use 'alpha' rather than
'blue' here, no?

 self._isinit = True
 self._set_extremes()

@@ -664,11 +668,10 @@


 def _init(self):
-rgb = np.array([colorConverter.to_rgb(c)
+rgba = np.array([colorConverter.to_rgba(c)
 for c in self.colors], np.float)
 self._lut = np.zeros((self.N + 3, 4), np.float)
-self._lut[:-3, :-1] = rgb
-self._lut[:-3, -1] = 1
+self._lut[:-3] = rgba
 self._isinit = True
 self._set_extremes()

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Re: [Matplotlib-users] Filling between curves conditionally

2008-11-23 Thread John Hunter
On Sun, Nov 23, 2008 at 1:26 PM, John Hunter [EMAIL PROTECTED] wrote:

  http://matplotlib.sourceforge.net/examples/api/fill_where_demo.html

 The code is much simpler than the fill_between_posneg original
 example, which I have just removed from svn.

The fill between use case is common enough that I decided to make it
an axes/pyplot method.  No need to use the intermediate
mlab.poly_between anymore.  fill_between has signature::

  fill_between(x, y1, y2=0, where=None, **kwargs)

y1 or y2 can be scalars or length x arrays.  If where is None, the
fill will be make everywhere between y1 and y2.  If where is not None,
it is a len(x) np boolean array and the fill will happen only where
where==True.

The examples are all now folded into fill_between.py

http://matplotlib.sourceforge.net/examples/pylab_examples/fill_between.html

JDH

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Re: [Matplotlib-users] poly_between and time series data

2008-11-21 Thread John Hunter
On Thu, Nov 20, 2008 at 10:09 PM, Eric Firing [EMAIL PROTECTED] wrote:
 Shailesh Kochhar wrote:
 Hello,

 I am trying to fill the space below a curve where my x-axis is indexed
 by time. The matplotlib api documentation and the examples don't touch
 on this subject and I haven't had much luck trying a few different
 variations. Here's what I've tried so far, maybe someone can point out
 what I'm doing wrong.

 import time
 import matplotlib.pyplot as plt
 import matplotlib.mlab as mlab

 time_strings = [ list of times as strings ]
 xs = [ date2num(time.strptime(string) for string in time_strings ]
 ys = [ list of float values ]

 fig = plt.figure()
 ax = fig.add_subplot(111)
 ax.plot_date(xs, ys)

 xv, yv = mlab.poly_below(0, xs, ys)
 ax.fill(xv, yv)


I think there is a bug in poly_below -- try usin poly_between

   xv, yv = mlab.poly_between(xs, ys, 0)

I've fixed the bug in svn r6429, so you can also use svn if you have
access to it.

JDH

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Re: [Matplotlib-users] Moving a patch with the mouse

2008-11-21 Thread John Hunter
On Fri, Nov 21, 2008 at 3:31 AM, Søren Nielsen
[EMAIL PROTECTED] wrote:
 Is it possible to change say the centre point of a circle patch and do a
 redraw? (couldn't find a function in the documentation) or do I have to
 remove the old patch and plot a new one. I want to bind mouse movement to a
 function that changes the location of the patch, so that a user can move a
 patch with the mouse.

There is a tutorial on this at

http://matplotlib.sourceforge.net/users/event_handling.html

JDH

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Re: [Matplotlib-users] create ListedColormap with different alpha values

2008-11-21 Thread John Hunter
On Fri, Nov 21, 2008 at 2:45 AM, Simon Kammerer [EMAIL PROTECTED] wrote:

 After looking at the source of matplotlib.colors, it seems to me that
 different alpha values are something Colormap is not designed for.

Yes, it looks like the colormap only holds the RGB channels, but it
also looks fairly straightforward to patch the code to support the
fourth channel.  Is this something you'd like to tackle?

JDH

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Re: [Matplotlib-users] plotting labels for each 'artist' in a basemap

2008-11-21 Thread John Hunter
On Thu, Nov 13, 2008 at 10:38 PM, John [H2O] [EMAIL PROTECTED] wrote:

 Hello, using matplotlib 0.98 with mpl_toolkit Basemap:

 I'm trying to create a plot with a series of ellipses over a map. I've
 followed the tutorial, and can create the same figure as shown here:
 http://matplotlib.sourceforge.net/users/screenshots.html#ellipses

 I can also create a series of ellipses over a map.

 Now I am trying to label each circle using the following snippet:
 for item in ells:
#ells is now a tuple in the form: (Ellipse, (x,y)) and (x,y) is the same
 as for the Ellipse
 e = item[0]
 xy = item[1]
 ax.add_artist(e)
 e.set_clip_box(ax.bbox)
 e.set_alpha(.7)
 pyplot.text(xy[0],xy[1],e.get_label())

 however, for some reason it fails. Can someone provide some ideas on what I
 am doing wrong? Also, is there more direct way to set the plots so that the
 labels are drawn?

Can you post a complete, free-standing example script which replicates
the problem and also the output of the script run with
--verbose-debug?  See

  
http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#report-a-problem

JDH

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Re: [Matplotlib-users] plotting labels for each 'artist' in a basemap

2008-11-21 Thread John Hunter
On Fri, Nov 21, 2008 at 10:37 AM, Eric Bruning [EMAIL PROTECTED] wrote:
 Can you post a complete, free-standing example script which replicates
 the problem

 import matplotlib.pyplot as plt
 f=plt.figure()
 ax=f.add_subplot(111)
 ax.plot(range(10))
 ax.text(-10, 5, 'this one is ok')
 ax.text(-1202255993.82, 5, 'this one fails')
 plt.show()

 and also the output of the script run with --verbose-debug?
 See attached.

OK, thanks.  I can replicate this on one machine (on which python is
compiled for 32bit)

  [EMAIL PROTECTED]:~ uname -a
  SunOS flag 5.10 Generic_118855-15 i86pc i386 i86pc
  [EMAIL PROTECTED]:~ python -V
  Python 2.4.5
  [EMAIL PROTECTED]:~ gcc --version
  gcc (GCC) 3.4.3 (csl-sol210-3_4-branch+sol_rpath)
  [EMAIL PROTECTED]:~ python -c 'import sys; print sys.maxint'
  2147483647


but not on another (on which python supports 64 bit)

  [EMAIL PROTECTED]:unit uname -a
  Linux bic128.bic.berkeley.edu 2.6.26.6-49.fc8 #1 SMP Fri Oct 17
15:33:32 EDT 2008 x86_64   x86_64 x86_64 GNU/Linux
  [EMAIL PROTECTED]:unit python -V
  Python 2.5.1
  [EMAIL PROTECTED]:unit gcc --version
  gcc (GCC) 4.1.2 20070925 (Red Hat 4.1.2-33)\
  [EMAIL PROTECTED]:unit python -c 'import sys; print sys.maxint'
  9223372036854775807


My guess is the transformation is putting this int out of bounds on
the 32 bit system triggering an exception in the cxx code.

From the exception, it looks like the exception is being set in cxx
extension code but is not being raised at the time the exception is
set, because there is no reason the iteration over the info should be
triggering the exception at that time.  I fixed backend agg to raise
the proper exception so it is at least less confusing -- it now raises

[EMAIL PROTECTED]:~ python test.py
Traceback (most recent call last):
  File test.py, line 9, in ?
fig.canvas.draw()
  File 
/home/titan/johnh/dev/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py,
line 283, in draw
self.figure.draw(self.renderer)
  File /home/titan/johnh/dev/lib/python2.4/site-packages/matplotlib/figure.py,
line 767, in draw
for a in self.axes: a.draw(renderer)
  File /home/titan/johnh/dev/lib/python2.4/site-packages/matplotlib/axes.py,
line 1590, in draw
a.draw(renderer)
  File /home/titan/johnh/dev/lib/python2.4/site-packages/matplotlib/text.py,
line 496, in draw
ismath=self.is_math_text(line))
  File 
/home/titan/johnh/dev/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py,
line 135, in draw_text
self._renderer.draw_text_image(font.get_image(), int(x), int(y) +
1, angle, gc)
TypeError: Invalid input arguments to draw_text_image



I'm not sure what the desired behavior here is.  We could make it fail
silently (not plot the text rather than raise)

JDH

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Re: [Matplotlib-users] Any news on wxMPL ?

2008-11-21 Thread John Hunter
On Fri, Nov 21, 2008 at 11:38 AM, Christopher Barker
[EMAIL PROTECTED] wrote:
 massimo sandal wrote:
 I tried to wrote to Ken McIvor (wxmpl author) about this but received no
 answer.

 How long has it been -- he could be on vacation or something.

 - If wxmpl has been abandoned by its author, is there anyone interested
 (beyond myself) in continuing its development?

 Yes -- even if Ken does come back online, I'd like to see wxMPL hosted
 by the MPL project anyway -- it would be easier to find, and more likely
 to get tested and patched. Maybe as a toolkit?

I'd be happy to host it in the mpl_toolkits dir if someone brings it
up to 0.98 and will maintain it.

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Re: [Matplotlib-users] plotting labels for each 'artist' in a basemap

2008-11-21 Thread John Hunter
On Fri, Nov 21, 2008 at 12:26 PM, Eric Bruning [EMAIL PROTECTED] wrote:

 My preference would be to see the error rather than mysteriously not
 see text. The latter would be more frustrating to debug - hard to
 track down. A scientific user should probably know that he's
 overextending the floating point capability, which was my case.

Actually you are overflowing the int.  In the backend, we transform
everything to pixel space, and the call fails when it tries to
initialize an int with the transformed coordinate.

JDH

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Re: [Matplotlib-users] general matplotlib usage questions

2008-11-20 Thread John Hunter
On Thu, Nov 20, 2008 at 7:12 AM, Darren Dale [EMAIL PROTECTED] wrote:

 You can use the subplot_adjust button on the toolbar for some degree of
 customization. But in general, it can be a somewhat time consuming to get
 the layout just right. I think it would be difficult for mpl to determine
 what the appropriate axes position should be given a certain figure and text
 size.

There is a recipe on the web site for automatically shifting the left
side of the subplot over to make room for the ylabels

  
http://matplotlib.sourceforge.net/faq/howto_faq.html#automatically-make-room-for-tick-labels

It might be nice to make an option to handle the simple case
automatically, to expand or shrink the subplots so the text fits w/o
too much padding on any side.

JDH

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Re: [Matplotlib-users] Hiding a subplot

2008-11-20 Thread John Hunter
On Thu, Nov 20, 2008 at 8:06 AM, Søren Nielsen
[EMAIL PROTECTED] wrote:
 Hi,

 I have a canvas with two subplot.. I want to be able to hide on of the
 subplots by pushing a button and letting the remaining subplot fill the
 entire canvas.

 If I use the set_visible(True) parameter I correctly remove one of the
 subplots.. but the remaining subplot does not fill the canvas.. Anyone have
 an idea of how to do this?

You should be able to use the change_geometry method on the remaining subplot

  ax2.set_visible(False)
  ax1.change_geometry(1,1,1)
  fig.canvas.draw()

JDH

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Re: [Matplotlib-users] Saving to a file in a specified directory (and creating said directory along the way)

2008-11-20 Thread John Hunter
On Thu, Nov 20, 2008 at 10:24 AM, Joshua Lippai [EMAIL PROTECTED] wrote:
 Hey,

 I'm working on a project for which I would like to dump data into a
 file in a specified directory (that doesn't necessarily exist yet). I
 know matplotlib.mlab.save(fname, X) will only work if I want to save
 data from an array/list to a file in the current working directory. Is
 there an easy way using matplotlib to:

 A) Save a file to a specified directory rather than the current
 working directory

Just specify the full path to the output dir:

  save('/path/to/my/data.dat')

or use the os modules built-in functions for cross-platform path handling:

  save(os.path.join(outdir, filename))

 B) Create a directory I tell it to save to if it doesn;t already exist

You can use os.mkdir.  mpl svn has a function cbook.mkdirs to
recursively make a directory path.

JDH

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Re: [Matplotlib-users] Saving to a file in a specified directory (and creating said directory along the way)

2008-11-20 Thread John Hunter
On Thu, Nov 20, 2008 at 11:22 AM, Christopher Barker
[EMAIL PROTECTED] wrote:
 Joshua Lippai wrote:
  Now that just leaves creating the directory. I like
 the cbook.mkdirs implementation a lot better than the non-recursive
 version in os... thanks for the tip!

 why not os.makedirs() ?

Wow, that one went right by me -- somehow missed its existence.
Thanks for the pointer...

JDH

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Re: [Matplotlib-users] wx backup show figure (WAS: general matplotlib usage questions)

2008-11-20 Thread John Hunter
On Thu, Nov 20, 2008 at 1:29 PM, Robin [EMAIL PROTECTED] wrote:
 On Thu, Nov 20, 2008 at 5:22 PM, Christopher Barker
 try wxPython -- it's easy to install and works well.

 Thanks - it does seem nicer (doesn't have the mouse over resizing)...

 However I have one problem where a figure I create in a function
 doesn't show up:
 # this is how I create a figure in a function

Are you running ipython in pylab mode?  See

  http://matplotlib.sourceforge.net/users/shell.html

and

  http://matplotlib.sourceforge.net/faq/howto_faq.html#use-show

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Re: [Matplotlib-users] wx backup show figure (WAS: general matplotlib usage questions)

2008-11-20 Thread John Hunter
On Thu, Nov 20, 2008 at 1:29 PM, Robin [EMAIL PROTECTED] wrote:
 On Thu, Nov 20, 2008 at 5:22 PM, Christopher Barker
 try wxPython -- it's easy to install and works well.

 Thanks - it does seem nicer (doesn't have the mouse over resizing)...

 However I have one problem where a figure I create in a function
 doesn't show up:
 # this is how I create a figure in a function
 In [20]: def test_func():
   : f = figure()
   : ax = f.add_subplot(111)
   : ax.plot([1,2,3,4],[1,2,3,4])
   : f.show()
   : return f
   :

One more thought -- if you are in pylab mode (so interactive is
turned on) if you are making your draw calls through the api, as you
are in this example, you will need to call draw after the plot
commands, eg

  ax.plot(something)
  f.canvas.draw()

This is explained in some detail in the shell page I pointed you to in
my last post.

JDH

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Re: [Matplotlib-users] Embedding Basemap in a wx app

2008-11-19 Thread John Hunter
On Wed, Nov 19, 2008 at 2:31 PM, Mauro Cavalcanti [EMAIL PROTECTED] wrote:

 Greetings. Trying to develop a desktop application for interactive
 mapping using wxPython and Matplotlib, I have been doing some
 experiments with embedding maps generated by the Basemap module into a
 wxPython frame.

You are almost there.  You need to create your own axes instance

self.ax = self.figure.add_subplot(111)

and then pass this to your basemap

map = Basemap(ax=self.ax)

after you have issued all your basemap commands, manually force a draw

  self.figure.canvas.draw()

and *do not* import pyplot or call pyplot.show()

JDH

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Re: [Matplotlib-users] Installation problem

2008-11-19 Thread John Hunter
On Wed, Nov 19, 2008 at 3:56 AM, domenico09 [EMAIL PROTECTED] wrote:

 I got the same problem on  my portable(windowx XP) but not on my desk
 top(windows XP) !
 I reinstalled python, numpy and matplotlib either from internet and from my
 desk top (where things works well) but I got the same problem!
 thanks for any sugegstion

Have you tried the enthought python distribution or python xy?  Both
are single click installers that come with python, numpy, ipython,
matplotlib and more.

  http://www.enthought.com/products/epd.php
  http://www.pythonxy.com/foreword.php

JDH

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Re: [Matplotlib-users] Scatter is slow to render many points

2008-11-19 Thread John Hunter
On Wed, Nov 19, 2008 at 8:56 AM, Gregory Desvignes
[EMAIL PROTECTED] wrote:

 Hi all,

 I'm using matplotlib inside the backend_gtkagg with the scatter function
 to draw a simple graph with 2 to 4 points. The points may have
 only 2 differents sizes and 4 differents color depending on some criteria
 and should be 'clickable'.

 The problem is that the plot rendering is very slow when it deals with
 ~1 points, especially if we compare it with the rendering of the plot
 function using simple points (as the data_browser.py example)

 Does anybody knows if there is a way to make things going a little
 bit faster?

plot with markers is *much* faster than scatter.  If you have only a
few different sizes and a few different colors, if you issue several
plot commands with one or more marker symbols

  plot(x1, y1, 'o', ms=10, color='red')
  plot(x2 y2, 's', ms=20, color='green')
  plot(x3, y3, '+', ms=8, color='blue')

It might be up to an order of magnitude faster.  And the individual
points will be selectable using the pick events, as described in

  http://matplotlib.sourceforge.net/users/event_handling.html

Hope this helps,
JDH

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Re: [Matplotlib-users] Embedding Basemap in a wx app

2008-11-19 Thread John Hunter
I'm CC-ing the list, because Jeff Whitaker is the basemap developer,
and he will probably want to add it to the basemap examples.  Thanks
for the contribution.

On Wed, Nov 19, 2008 at 4:31 PM, Mauro Cavalcanti [EMAIL PROTECTED] wrote:
 Dear John,

 It worked fine!

 Thank you very much for your help. I would like to donate the working
 example source code  (attached) to the Matplotlib examples section,
 just in case it may be helpful to someone else.

 I intend to provide a more sophisticated exemple soon.

 With warmest regards,

 2008/11/19 John Hunter [EMAIL PROTECTED]:
 On Wed, Nov 19, 2008 at 2:31 PM, Mauro Cavalcanti [EMAIL PROTECTED] wrote:

 Greetings. Trying to develop a desktop application for interactive
 mapping using wxPython and Matplotlib, I have been doing some
 experiments with embedding maps generated by the Basemap module into a
 wxPython frame.

 You are almost there.  You need to create your own axes instance

self.ax = self.figure.add_subplot(111)

 and then pass this to your basemap

map = Basemap(ax=self.ax)

 after you have issued all your basemap commands, manually force a draw

  self.figure.canvas.draw()

 and *do not* import pyplot or call pyplot.show()

 JDH




 --
 Dr. Mauro J. Cavalcanti
 Ecoinformatics Studio
 P.O. Box 46521, CEP 20551-970
 Rio de Janeiro, RJ, BRASIL
 E-mail: [EMAIL PROTECTED]
 Web: http://studio.infobio.net
 Linux Registered User #473524 * Ubuntu User #22717
 Life is complex. It consists of real and imaginary parts.


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Re: [Matplotlib-users] API_CHANGES MIGRATION.txt

2008-11-18 Thread John Hunter
On Tue, Nov 18, 2008 at 3:41 AM, Benjamin Bardiaux [EMAIL PROTECTED] wrote:
 Dear matplotlib users,

 I'l looking for the files

 http://matplotlib.sf.net/API_CHANGES
 http://matplotlib.sourceforge.net/MIGRATION.txt

 that seem to have disappear from the new sf website.

Thanks -- I've re-added these and put links to them in the need help
sidebar at http://matplotlib.sf.net.  You may need to refresh your
browser to see the new links.  We should include these in the rest
docs proper, so they are exposed to the sphinx search tool, but I just
went with the quick and easy for now.

JDH

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Re: [Matplotlib-users] Axis lines crossing in them middle of the plot

2008-11-18 Thread John Hunter
On Tue, Nov 18, 2008 at 4:25 AM, Mike Hansen [EMAIL PROTECTED] wrote:

 What would you recommend as the best way going about this?  I'm
 willing to put some work in on this.  There was someone back in July
 who posted some code moving in this direction, but it didn't feel like
 it was the right way to do things.  He didn't get any response from
 the list.

That was Tony's work, and it is a shame we didn't give him more
feedback.  It is definitely an important enhancement.  Sometimes the
things that are harder get marked with a star in my inbox, and the
things that are easier get tackled right away, and the harder things
get pushed down the queue.  Which is why I encourage folks to make
gentle reminders: the silence is usually not lack of interest, but
lack of time.

You should start by taking a look at where Tony left off.  I will
review his code too, and when we have both had a chance to digest it,
we can discuss a plan of attack.
 
http://www.nabble.com/Modifications-to-axis.py-to-allow-more-flexibility-in-positioning-axis-lines%2C-ticks%2C-etc.-td18573959.html#a18573959

Tony may be interested in contributing too.  Reading over his email,
one of the things that stumped him was trying to get this done right
and maintain backwards compatibility.  That is admirable, and we
should try to achieve that where possible, but I don't think it is a
requirement.  This is a major feature enhancement, and is one of the
things that have kept me from releasing mpl as 1.0, so if we need some
breakage to get there we can live with it.  Not too many people tweak
the axis layout, in part because there is not much to tweak.  Also,
most use the Axes front end helper methods (eg ax.get_xticklabels())
which will insulate them from a reorg at the Axis layer.

There are two related problems here: one easier, one harder.  We can
start with the easier one.  The easy one is to have a detachable
axis.  Right now we have one on the right and one on the left for the
x-axis.  We may as well generalize this to allow folks to have as many
as they want and put them whereever they want (center, offset farther
to the left, etc.).  It would be nice to support a different set of
tick locators and formatters for each axis, eg you could have a left
axis in dollars and a right axis in euros.  Note this is not the same
thing as having a different scale, in the sense of the two_scales
example, this is just two different formatting of the same scale.  The
harder problem is supporting an arbitrary number of axis instances
each with its own transform, etc.  Eg generalizing the two_scales
example.  I suggest you punt on that one for now.

If you really want to keep this easy, you can forget all about the
locators and formatters and just focus on allowing the user to place
the axis lines wherever they want, using the standard Axis locator and
formatter for all the axis lines.  That is probably the place to start
-- we can always try to beef it up later.  That part should be fairly
easy.  Another enhancement that would be nice would be to support a
TextCollection for the tick labels.  Drawing the tick labels is
actually a pretty big bottleneck in the whole plot rendering time, and
since the properties are naturally homogeneous (eg the rotation, the
fontsize) we could probably save some time using a collection.

JDH

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Re: [Matplotlib-users] Save a plot background

2008-11-18 Thread John Hunter
On Tue, Nov 18, 2008 at 9:41 AM, Hrafnkell Pálsson [EMAIL PROTECTED] wrote:

 Ok, I tried your last suggestion and sure enough it worked.
 But it turns out to solve only half of my problem. I'd like to be able to
 restore the background (using the Agg backend) and then use it further, i.e.
 plot on it, without it disappearing.

 Elaborating on my real use case, what I want to do is to make a Basemap
 instance, plot the coastlines and other things that are constant in time
 (put marker on the maps for cities, watermark the figure, draw meridians and
 parallels and so on) and save that as a background.
 I would then restore this background and plot the weather (open and filled
 contours, quivers and barbs) onto it. I typically have data for some dozens
 of timesteps, so I'd be restoring the background many times. Each time I'd

This should work fine as long as you make the figure frame and axes
frame invisible.  Basically, you need to create the figure background,
and the axes background with all the grid lines, tick labels,
coastlines, etc, save it, and then for the new figure make sure all
the stuff you have saved is turned off.  I am not a basemap user, but
I know all this stuff is ultimately exposed.  Eg for a plain vanilla
axes, you would do


  fig1 = figure(frameon=False)
  ax1 = fig1.add_subplot(111)


  fig = figure(frameon=False)
  ax = fig.add_subplot(111, frameon=false, xticks=[], yticks=[])
  fig.canvas.restore_region(background)


This will turn off the rendering of both the background rectangle as
well as all the ticks and their associated labels, ticklines and
gridlines.  Perhaps Jeff can advise you vis-a-vis the basemap api what
the equivalent is

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Re: [Matplotlib-users] Save a plot background

2008-11-17 Thread John Hunter
On Mon, Nov 17, 2008 at 8:05 AM, Hrafnkell Pálsson [EMAIL PROTECTED] wrote:

 Hi

 I tried you suggestions but it didn't work out for me.
 In the following code I try to save the axes and the grid from figure1 into
 buffer and then restore it on figure2 but figure2.png turns out to be of an
 empty canvas.

 #!/usr/bin/env /opt/python/bin/python
 # encoding: utf-8
 import matplotlib
 if not matplotlib.get_backend()=='agg':
matplotlib.use('Agg')
 import pylab

 figure1 = pylab.figure(1)
 axes1 = pylab.gca()
 axes1.grid()
 canvas1 = axes1.figure.canvas
 background = canvas1.copy_from_bbox(axes1.bbox)
 figure1.savefig('figure1.png')

The only problem I could see with your code is that you need to force
a draw before copying the background.  But when I added the draw, and
then further simplified to reuse the same canvas, I still am not
seeing the restored region.  I will need to do further digging to see
what is going wrong, but the problem appears both on the maintenance
branch and the trunk.  Here is my modified test script:

import matplotlib
matplotlib.use('Agg')

import matplotlib.pyplot as plt

fig1 = plt.figure(1)
ax1 = fig1.add_subplot(111)
ax1.grid()
fig1.canvas.draw()
fig1.savefig('figure1.png')
background = fig1.canvas.copy_from_bbox(ax1.bbox)

fig1.clf()


#figure2 = pylab.figure(2)
#canvas2 = figure2.canvas
fig1.canvas.restore_region(background)
fig1.savefig('figure2.png')


JDH

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Re: [Matplotlib-users] Save a plot background

2008-11-17 Thread John Hunter
On Mon, Nov 17, 2008 at 1:50 PM, Jae-Joon Lee [EMAIL PROTECTED] wrote:
 I think the savefig() command calls draw() internally, doesn't it?

Ahh yes.  The copy_from_bbox / restore_region was conceived as an aid
to animation and I don't think I've used it in the context of savefig
where none of the artists are involved in the restored region.  Ie, in
a typical animation use case, you draw the axes, background and ticks,
store the region, and then animate a line on top of it.  When you go
to savefig, the axes background is redrawn  because the associated
artists already reside in the figure, along with the line in its final
state.

It should be fairly easy to expose the agg BufferRegion object in the
artist API, so you could grab a buffer region from one canvas, bless
it as an artist, and add it to the figure or another figure, with the
x and y location  attrs exposed so it could be easily moved.  In this
case you would get the zorder for free.  This would help some, and
would certainly address the case at hand, but the really big win would
probably be something more like the chaco model, where each zorder is
rendered onto a different rendering buffer, with a fairly
straight-forward way to just re-render certain planes.  This would
certainly be harder.

Could you elaborate a bit on your use case, which will help me in
thinking about how this should be done?

JDH

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Re: [Matplotlib-users] Save a plot background

2008-11-17 Thread John Hunter
On Mon, Nov 17, 2008 at 8:05 AM, Hrafnkell Pálsson [EMAIL PROTECTED] wrote:

 Hi

 I tried you suggestions but it didn't work out for me.
 In the following code I try to save the axes and the grid from figure1 into
 buffer and then restore it on figure2 but figure2.png turns out to be of an
 empty canvas.



OK, ever since Jae-Joon clued me into to the importance of the savefig
call, I realized there is a fairly easy solution for your problem.
The problem you are having is that savefig is redrawing the figure
frame which is essentially just filling the rectangular background of
the figure canvas.  This is obscuring the background you are trying to
restore.  SO just turn the frame off, and your background will be
revealed in its place.  Here is the example code:

import matplotlib
matplotlib.use('Agg')

import matplotlib.pyplot as plt

plt.close('all')

# make sure we have all the same properties on all figs
figprops = dict(figsize=(8,6), dpi=100, facecolor='white')

fig1 = plt.figure(1, **figprops)
ax1 = fig1.add_subplot(111)
ax1.grid()
fig1.canvas.draw()
background = fig1.canvas.copy_from_bbox(fig1.bbox)
fig1.savefig('figure1.png', dpi=100)


# turn the frame off or it will overwrite the background
fig2 = plt.figure(2, frameon=False, **figprops)
fig2.canvas.restore_region(background)
fig2.savefig('figure2.png', dpi=100)

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Re: [Matplotlib-users] Save a plot background

2008-11-16 Thread John Hunter
On Sat, Nov 15, 2008 at 3:23 PM, Hrafnkell Pálsson [EMAIL PROTECTED] wrote:

 Hi
 I haven't managed to save a plot background into buffer to be able to
 restore it later.
 I use matplotlib to draw weather maps (see www.belgingur.is), and though the
 weather constantly changes the outlines of the countries are the same for
 every picture.
 Currently I plot the coastlines anew for every picture, which is kinda *not
 smart*.

Have you tried the copy from bbox / restore_region methods.  Draw
just what you want to save, and use copy_from_bbox.  Later when you
want to plot something new, do a restore_region onto a clean canvas
and then plot the new stuff on top:

* background = canvas.copy_from_bbox(ax.bbox) - copy the region in
ax.bbox into a pixel buffer and return it in an object type of your
choosing. bbox is a matplotlib BBox instance from the transforms
module. background is not used by the matplotlib frontend, but it
stores it and passes it back to the backend in the restore_region
method. You will probably want to store not only the pixel buffer but
the rectangular region of the canvas from whence it came in the
background object.


* canvas.restore_region(background) - restore the region copied above
to the canvas.


* canvas.blit(bbox) - transfer the pixel buffer in region bounded by
bbox to the canvas.

Search the examples for copy_from_bbox on the web site
http://matplotlib.sourceforge.net/search.html

If you are still having troubles, let me know and I can give more help.

JDH

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Re: [Matplotlib-users] Twin axes share Formatters, but not ticks

2008-11-16 Thread John Hunter
On Sun, Nov 16, 2008 at 8:31 PM, Joshua J. Kugler [EMAIL PROTECTED] wrote:
 In opening: Thank you very much to Stan West and John Hunter for their
 help so far.

 OK, I've hit either a genuine bug in Matplotlib, or a serious gap in my
 understanding; probably the latter.  If I missed something in the docs,
 please point me that way.  Attached is a test case that shows what's
 going on, as well as the bad plots produced.

 I started with the two axis example.  After setting the formatters for
 ax1, I set the xmajor ticks labels' font size to 40, and plot it, as
 well as ax2.

 That gives me a set of large X labels, and a set of small X labels.  OK,
 I try setting ax2's major formatter to NullFormatter(), but that makes
 all the number disappear.

 As can be seen from the print statements, the instances of the
 formatters are the same for both ax1 and ax2, even though they are
 supposed to be different axis, BUT the instances of the tick labels are
 different, hence the disparity in font sizes.

 So, besides the work-around of setting font sizes on both sets of tick
 labels, what is the solution here?

When you share an axis, the formatters and locators are shared as
well.  I'm not sure if this is idea, but this is the way it is.  If
you want to turn off the tick labels for ax2, the trick is to make
them invisible, because the tick properties are not shared.  So
instead of using the NullLocator, do

for label in ax2.get_xticklabels():
label.set_visible(False)

Hope this helps,
JDH

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Re: [Matplotlib-users] More info: Re: Twin axes share Formatters, but not ticks

2008-11-16 Thread John Hunter
On Sun, Nov 16, 2008 at 8:38 PM, Joshua J. Kugler [EMAIL PROTECTED] wrote:
 I am leaning toward this being a true bug.  If you take a look at
 attached plot (the code for which is where I first noticed this bug),
 you'll notice that the dates on the top graph (the one with two axis)
 look a little bold while the dates on the bottom graph look normal.
 The top set of dates are the one where I have to let font size (8) on
 two different sets of tick labels.

w/o seeing the code that generated the figure it is hard to know, but
the bold look probably arises from rendering the same tick labels
twice in the same location, eg if you have a twinx, as it appears you
do, but haven't made the ticks invisible (as per my earlier
suggestion) on one of the axes.  Perhaps we should make the ticks on
the twin axes invisible by default.

Also, when posting continuations related to a theme, eg your previous
post on twin axes formatters, please try to keep them in the same
thread by replying to yourself in the earlier thread.  This makes it
easier for people following the thread to see everything in one place,
particularly those using threaded mail readers, as well as the future
generations of googlers who will pick this conversation up on mail
archive websites like nabble.

Thanks,
JDH

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Re: [Matplotlib-users] Set Ellipse Linestyle

2008-11-16 Thread John Hunter
On Sun, Nov 16, 2008 at 8:32 PM, B Clowers [EMAIL PROTECTED] wrote:
 I've been trying to set the linestyle of an ellipse with no success.  I keep
 getting an attribute error whether I try setting the property via accessing
 the ellipse instance directly or through the artist.  Any ideas?

 --if you uncomment the line containing the linestyle you should see the
 error--just paste into ipython -pylab.

The example with the ls='dashed' uncommented works fine for me in svn
head, and according to the CHANGELOG, support for linestyle was added
in

  r5645 | jdh2358 | 2008-06-23 09:46:13 -0500 (Mon, 23 Jun 2008) | 1 line

  commited olle's linestyle patch patch

This predates the 0.98.3 release, which was released at svn r5947.
I'm not sure what version you are on, but linestyle should work on
the latest mpl release.  If you are having trouble with ls on
0.98.3, see if linestyle works since it's possible support for the
alias was only added later.

 JDH

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Re: [Matplotlib-users] More info: Re: Twin axes share Formatters, but not ticks

2008-11-16 Thread John Hunter
On Sun, Nov 16, 2008 at 9:26 PM, Joshua J. Kugler [EMAIL PROTECTED] wrote:

 w/o seeing the code that generated the figure it is hard to know, but
 the bold look probably arises from rendering the same tick labels
 twice in the same location, eg if you have a twinx, as it appears you
 do, but haven't made the ticks invisible (as per my earlier
 suggestion) on one of the axes.  Perhaps we should make the ticks on
 the twin axes invisible by default.

 Yup, that was it.  Woohoo! Thanks!

Great -- glad that worked.  Perhaps we should fix the default behavior though...

 Weird, in my mailer (K-Mail) I replied to my message, and it threaded it
 properly when it came back.  Maybe adding modifying the subject messed
 up some mailers?  I think K-Kmail threads based on the references in
 the headers, e.g.:


OK, my bad.  It's looks like it is just gmail that is mucking it up
(maybe other readers as well).  nabble is ggeting it right:

  
http://www.nabble.com/Twin-axes-share-Formatters%2C-but-not-ticks-to20532903.html

No worries -- just wanted to make sure you were aware of the issue,
and it appears you are more on top of it than me :-)

JDH

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Re: [Matplotlib-users] Matplotlib with native OSX port of GTK

2008-11-11 Thread John Hunter
On Mon, Nov 10, 2008 at 6:00 AM, Marcus Vinicius Eiffle Duarte
[EMAIL PROTECTED] wrote:

 So, all the libraries and headers are installed in the default
 folders. However, when I try to  build matplotlib I get the following
 error:
 In file included from src/backend_gdk.c:9:
 /usr/include/pygtk/pygtk.h:6:23: error: pygobject.h: No such file or directory
 /usr/include/pygtk/pygtk.h:8:21: error: gtk/gtk.h: No such file or directory
 In file included from src/backend_gdk.c:9:

The error indicates the mpl build process is not finding your pygtk or
gtk headers.  Typically, you need to set your PKG_CONFIG_PATH to the
directory where the *.pc config files are, and these will tell mpl how
to include the headers and link to the libs.  So you should also have
pkg-config installed.  There are some additional details here:
http://ipython.scipy.org/moin/Py4Science/InstallationOSX -- scroll
down to the matplotlib section.

JDH

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Re: [Matplotlib-users] Python 2.6

2008-11-09 Thread John Hunter
On Sat, Nov 8, 2008 at 10:39 PM, Jae-Joon Lee [EMAIL PROTECTED] wrote:
 John,
 I'm attaching an another patch, which seems to give a correct result
 for the figimage_demo.
 The flipud_out() calls before compositing seems to have no effect, so

Ahh, I think you found the ultimate source of our woes and flupud
complexity: the _image.from_images module was ignoring the stride, as
you noted in the comment in your patch.  I just fixed this n r6381, so
the code behaves properly at the extension code level and we don't
have to do all those confusing flips in the axes or figure compositing
methods.  So the code is now simpler, and it works.

Thanks for digging into this.

JDH

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Re: [Matplotlib-users] Python 2.6

2008-11-08 Thread John Hunter
On Fri, Nov 7, 2008 at 7:24 AM, Michael Droettboom [EMAIL PROTECTED] wrote:
 John Hunter wrote:

 What say you other developers -- any major holdups?

 I think this bug is reasonably serious, if anyone wants to take a look at
 it.  It affects PDF, PS, SVG as well as the Gtk and GtkCairo mentioned in
 the report.  I've taken a kick at it a couple of times, but haven't found
 the magic incantation.  I suspect it's a one-liner fix, just don't know
 which one... ;)

 https://sourceforge.net/tracker/index.php?func=detailaid=2160909group_id=80706atid=560720

I spent some time trying to fix this yesterday, and I too was
confounded by all the flipud_out calls in the various parts of the
code.  I was not able to figure ot why agg was working and svg not,
since they appear to be making similar calls, and eventually had to
give up to work on some other stuff.  I'll try and find some time this
weekend to plan another attack, and hopefully simplify and document
the code a bit if I am successful.

JDH

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Re: [Matplotlib-users] Where else to look when tick_label.set_fontsize isn't working

2008-11-08 Thread John Hunter
On Sat, Nov 8, 2008 at 1:02 AM, Joshua J. Kugler [EMAIL PROTECTED] wrote:
 On Friday 07 November 2008, John Hunter said something like:

 http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#report-a-problem

 Sorry, I wasn't so much reporting  a problem with matplotlib as I was
 wondering if I was missing something.  I'll try to extract a
 free-standing example, but it might be hard...there's a lot of code
 interacting here.  I'll work on that when I get a chance.

 Thanks!

The point about making a free standing example is that often there is
some other problem with your code, and the problem is not in the part
you are posting or asking about.  And we can't help with the part we
can't see.  In stripping your example down to a free standing example,
often you will find the problem goes away. Then you will ask: what is
different about from free the standing example and my real code, and
in doing so find the real problem.  This is not always the case, but
it happens enough that it is a worthwhile exercise.  That is why a
properly crafted mailing list post is so useful -- the acting of
positing properly often fixes the bug you are trying to report even
before you hit the send button.  It has happened for me countless
times.   In the heat of trying to find a solution to the problem, it
is hard to justify the extra time to boil the problem down to
isolated, free-standing code, but in my experience nothing is as
effective as taking that extra step.

By not doing the extra work to make a simple example that we can run,
you are asking us to do so.  Its really not that hard -- just grab one
of the date demos at
http://matplotlib.sourceforge.net/examples/index.html and set the
fonts as you are doing in your code and see if the problem persists.
If it does, post it an we will fix it.  If not, you have to figure out
where the problem really resides.

I'm not trying to be snippy, it's just that the matplotlib mailing
list gets a lot of traffic, and in addition to trying to help you with
your problems, we are trying to fix bugs, add new features, solve
platform issues and distribution issues, put out releases, and we all
have jobs and families.  I think you get the idea.  We need you to do
the maximum amount of work possible so we can efficiently help you.
When we get a free-standing example that shows a real problem, the
odds of you getting help and patch rise dramatically.

Thanks, and good luck,
JDH

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Re: [Matplotlib-users] Python 2.6

2008-11-08 Thread John Hunter
On Thu, Nov 6, 2008 at 4:28 PM, Darren Dale [EMAIL PROTECTED] wrote:

 Stan West checked out my subprocess patch on windows with python-2.5, which
 should take care of a bunch of deprecation warnings. I need to double check
 that I got them all, maybe I can get to it this weekend.

 I'm in favor of dropping support for python-2.4, but on the other hand I
 think the most recent version of RHEL still uses this version.

Actually, we still use 2.4 at work, so I'd like to continue supporting
2.4 for a while I guess, for purely selfish reasons.  But perhaps we
should stop making binaries for it to ease the burden on Charlie.
Once the 2.6 binaries for numpy are out and we are making binaries for
the next release, that is

JDH

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Re: [Matplotlib-users] Several Functions, One plot (My Hello World)

2008-11-08 Thread John Hunter
On Sat, Nov 8, 2008 at 8:23 AM, Alan G Isaac [EMAIL PROTECTED] wrote:
 On 11/7/2008 10:36 PM [EMAIL PROTECTED] apparently wrote:
 I'm new to the list and also to matplotlib. I'm writing a small program
 to draw oil well diagrams in a simple way in 2D.

 I guess Mike is a bit nonplussed by the attention
 this example receives, but I find it useful:
 http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg07706.html

And all the examples now have their own screenshots page, eg

  http://matplotlib.sourceforge.net/examples/pylab_examples/dolphin.html

though the entire thread is worth an occasional reread :-)

  
http://www.nabble.com/ploting-a-contour-graph-from-data-files-td18491504.html#a18491504

JDH

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Re: [Matplotlib-users] Python 2.6

2008-11-08 Thread John Hunter
On Sat, Nov 8, 2008 at 6:10 PM, Jae-Joon Lee [EMAIL PROTECTED] wrote:

 My original patch does not work for this case, because the figimage is
 drawn by Figure.draw() not by Axes.draw() method.
 I'm attaching a new patch where I applied the same correction to the
 Figure.draw().
 I tested GtkAgg, Gtk, GtkCairo, Pdf, Ps and they all worked fine.

So I managed to sneak some time to apply and test these after all --
but I am getting in a little trouble with my wife :-)

The layer images demo looks great for pdf, svg and png, but I am still
seeing problems with the figimage_demo for origin upper.  On svg and
pdf in my tests, blue still appears down, though is correctly up on
png.  I went ahead and committed your changes (with a minor variation
that the list comprehensions are expressed as plain-ol-loops because
some people consider the use of a list comprehension simply to do in
place modifications where the list itself is discarded to be an abuse
of the construct) to revision 6380.

Make sure I didn't screw something up, but the figimage_demo still
looks broken to me for the case currently in fsvn

Thanks for all the progress!
JDH

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Re: [Matplotlib-users] Python 2.6

2008-11-08 Thread John Hunter
On Sat, Nov 8, 2008 at 5:45 PM, Jae-Joon Lee [EMAIL PROTECTED] wrote:
 I think the problem is caused by the image compositing logic in the
 Axes.draw() method.
 It currently makes a composite image first and then flip the resulting
 image  if necessary.
 But I think what should happen is to flip the original images first
 and then do the compositing.
 So, test the attached patch and see if it solves the problem.

Hey Jae Joon -- thanks for looking into this.  I don't have time to
test this patch, but I wanted to mention that there is an analogous
problem for figure image compositing -- see figimage_demo.py.  agg
shows the correct behavior: the two images should be in the lower
left, and the blue should be down for image origin=lower and the blue
should be up for image origin=upper.  So if you are having success
with the image compositing orientation problems on the various
backends, you may want to see if your fixes apply to the figimage
problems as well.

Thanks,
JDH

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Re: [Matplotlib-users] Where else to look when tick_label.set_fontsize isn't working

2008-11-07 Thread John Hunter
On Fri, Nov 7, 2008 at 7:51 PM, Joshua J. Kugler [EMAIL PROTECTED] wrote:
 With the help of John Hunter and Stan West, I got some of my tick labels
 sizing correctly.  I have this chunk of code:

 for label in self.main_axes.get_xticklabels():
label.set_fontsize(self.xtick_labelsize)

 main_ticks = self.main_axes.get_yticklabels()
 sub_ticks = (self.sub_axes.get_yticklabels()
 if hasattr(self.sub_axes, 'get_yticklabels') else  [])
 for label in main_ticks + sub_ticks:
label.set_fontsize(self.ytick_labelsize)


Please post a complete, free-standing example, that we can run, that
illustrates the problem.

  
http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#report-a-problem

JDH

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Re: [Matplotlib-users] Combine jpegs

2008-11-06 Thread John Hunter
On Thu, Nov 6, 2008 at 9:00 AM, Nils Wagner
[EMAIL PROTECTED] wrote:
 Hi all,

 Is it possible to combine jpegs with matplotlib or PIL ?

 Any pointer would be appreciated.

if you have PIL installed, you can load them into mpl with imread, and
then set the alpha channel to make one partially transparent, and then
overlay them as in the layer images example

  http://matplotlib.sourceforge.net/examples/pylab_examples/layer_images.html

Below is some example code that loads a jog into RGB data, and then
embeds it in RGBA with an alpha mask of 0.5.  Note however, that mpl
is not a general image processing library, so you will probably have
better luck with PIL.  I'm no PIL expert, so can't help there...

In [8]: from matplotlib.image import imread

In [9]: im = imread('lena.jpg')

In [10]: im.shape
Out[10]: (512, 512, 3)

In [12]: import numpy as np

In [13]: rgba = np.zeros((512,512,4))

In [14]: im.dtype
Out[14]: dtype('uint8')

In [15]: im = im.astype(float)/255.


In [17]: rgba[:,:,:3] = im

In [18]: rgba[:,:,-1] = 0.5

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Re: [Matplotlib-users] Python 2.6

2008-11-06 Thread John Hunter
On Thu, Nov 6, 2008 at 11:28 AM, KURT PETERS [EMAIL PROTECTED] wrote:
 I recently tried to install for python 2.6 and got an error that the dll is
 incompatible.  Is there a version for 2.6?  I didn't see one here:

No, we haven't released any binaries for 2.6.  It is probably getting
to be time to release a new version of mpl, especially since 2.6 has
been out for a while and lots of new fixes have gone into mpl since
our last major release.

Charlie, what is your availability?  We would need to wait until at
least next week so we could do a feature freeze and a last round of
fixes.  What say you other developers -- any major holdups?  And
should we stop doing binary builds for python 2.4 according to our
unofficial policy of supporting the most recent two python releases?

JDH

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Re: [Matplotlib-users] twin / dual / two axis seems to confuse or break toolbar magnifier

2008-11-04 Thread John Hunter
On Tue, Nov 4, 2008 at 7:29 AM, Michael Droettboom [EMAIL PROTECTED] wrote:
 Can you be more specific about what is going wrong?  The zoom magnifier
 seems to work fine for me with or without twinx, but perhaps we just
 have different expectations of how it works.  Could you perhaps provide
 screenshots?

Note that only one of the two axes can get the events, and that is
determined by the axes zorder.  So if you want ax1 to get the events

  ax1 = fig.add_subplot(111)
  ax1t = ax1.twinx()
  ax1.set_zorder(10)
  ax1t.set_zorder(1)

JDH

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Re: [Matplotlib-users] Testing - my posts aren't showing up on the list

2008-11-04 Thread John Hunter
On Tue, Nov 4, 2008 at 2:48 PM, Joshua J. Kugler [EMAIL PROTECTED] wrote:
 I've sent two messages to this list, and neither have appeared in the
 archives, or come back to me.  Did I use the right combination of words
 to get stopped by a spam filter? :)

I have not seen any messages from you in the moderator queue, which is
where the spam shows up.  Not sure what the problem is, but this one
got through :-)

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Re: [Matplotlib-users] Setting tick labelsize programatically

2008-11-04 Thread John Hunter
On Tue, Nov 4, 2008 at 3:13 PM, Joshua J. Kugler [EMAIL PROTECTED] wrote:
 [Trying one more time.]

 I've read docs, search the list archive, and tried to step through code.

The docs you are looking for are
http://matplotlib.sourceforge.net/users/artists.html.


 How can I set things like xtick.labelsize and ytick.labelsize via the
 object oriented interface?  I have a graph object,  and I can't find
 anywhere in the data structure for the completed graph where the tick
 label sizes are stored, nor can I find functions to set them.

Here is one way to do it::

for label in ax.get_xticklabels() + ax.get_yticklabels():
   label.set_fontsize(12)

But the artist tutorial above will give you a more in-depth
explanation of the various containers and methods.

JDH

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