matplotlib-users Mailing List for matplotlib (Page 10)

At 2:38 PM -0800 2006-11-08, Christopher Barker wrote:
>Russell E. Owen wrote:
>>I reinstalled wxPython 2.7 from the package at pythonmac.org (to be 
>>paranoid). I'm using the Python 2.5 version.
>
>check
>
>>I got wx-config on my path and confirmed it's the right one (see 
>>below for details).
>
>check.
>
>>Now when I try to build matplotlib it fails. Ouch.
>>
>>It starts out with the same warning as last time:
>>setup.py:267: DeprecationWarning: The wxPython compatibility 
>>package is no longer automatically generated or activly maintained. 
>>Please switch to the wx package as soon as possible.
>>   import wxPython
>
>This one is easy!
>
>In setup.py, replace:
>
>import wxPython
>
>with
>
>import wx
>
>A few versions ago, the "import wxPython" form was deprecated -- it 
>is now gone in 2.7. IN this case, all it's doing it checking if 
>wxPython is installed, so th import wx should be the only change 
>needed.

Got it. Thanks! Should I submit a patch?

Unfortunately "python setup.py build" still fails when compiling 
_wxagg (in the same way as last time). I've appended the log so the 
whole list can enjoy it.

I should probably be using wxPython 2.6.x. I originally thought 
wxPython 2.7 was the current release but as you pointed out, that was 
a misconception. Unfortunately, it's the only binary package 
available for Python 2.5 at pythonmac.org.

-- Russell

$ python setup.py build
GTK requires pygtk
GTKAgg requires pygtk
running build
running build_py
running build_ext
building 'matplotlib.backends._wxagg' extension
C compiler: gcc -arch ppc -arch i386 -isysroot 
/Developer/SDKs/MacOSX10.4u.sdk -fno-strict-aliasing -Wno-long-double 
-no-cpp-precomp -mno-fused-madd -fno-common -dynamic -DNDEBUG -g -O3

creating build/temp.macosx-10.3-fat-2.5
creating build/temp.macosx-10.3-fat-2.5/src
creating build/temp.macosx-10.3-fat-2.5/CXX
compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGE_FILES -D__WXDEBUG__ 
-D__WXMAC__ -I/usr/local/include -I/usr/include -I. -Isrc -Iswig 
-Iagg23/include -I. -I/usr/local/include -I/usr/include -I. 
-I/usr/local/include/freetype2 -I/usr/include/freetype2 -I./freetype2 
-Isrc/freetype2 -Iswig/freetype2 -Iagg23/include/freetype2 
-I./freetype2 -I/usr/local/include/freetype2 -I/usr/include/freetype2 
-I./freetype2 -I/usr/local/include -I/usr/include -I. 
-I/usr/local/lib/wxPython-unicode-2.7.1.3/lib/wx/include/mac-unicode-debug-2.7 
-I/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7 
-I/Library/Frameworks/Python.framework/Versions/2.5/include/python2.5 
-c'
gcc: CXX/cxxextensions.c
gcc: CXX/cxx_extensions.cxx
gcc: CXX/IndirectPythonInterface.cxx
gcc: src/_wxagg.cpp
src/_wxagg.cpp: In function 'wxBitmap* 
convert_agg2bitmap(RendererAgg*, Bbox*)':
src/_wxagg.cpp:238: error: conversion from 'wxImage*' to 'const 
wxString' is ambiguous
/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7/wx/string.h:686: 
note: candidates are: wxString::wxString(wxChar, size_t) <near match>
/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7/wx/string.h:676: 
note:                 wxString::wxString(int) <near match>
src/_wxagg.cpp: In function 'wxBitmap* 
convert_agg2bitmap(RendererAgg*, Bbox*)':
src/_wxagg.cpp:238: error: conversion from 'wxImage*' to 'const 
wxString' is ambiguous
/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7/wx/string.h:686: 
note: candidates are: wxString::wxString(wxChar, size_t) <near match>
/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7/wx/string.h:676: 
note:                 wxString::wxString(int) <near match>
lipo: can't figure out the architecture type of: /var/tmp//cc135E90.out
src/_wxagg.cpp: In function 'wxBitmap* 
convert_agg2bitmap(RendererAgg*, Bbox*)':
src/_wxagg.cpp:238: error: conversion from 'wxImage*' to 'const 
wxString' is ambiguous
/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7/wx/string.h:686: 
note: candidates are: wxString::wxString(wxChar, size_t) <near match>
/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7/wx/string.h:676: 
note:                 wxString::wxString(int) <near match>
src/_wxagg.cpp: In function 'wxBitmap* 
convert_agg2bitmap(RendererAgg*, Bbox*)':
src/_wxagg.cpp:238: error: conversion from 'wxImage*' to 'const 
wxString' is ambiguous
/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7/wx/string.h:686: 
note: candidates are: wxString::wxString(wxChar, size_t) <near match>
/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7/wx/string.h:676: 
note:                 wxString::wxString(int) <near match>
lipo: can't figure out the architecture type of: /var/tmp//cc135E90.out
error: Command "gcc -arch ppc -arch i386 -isysroot 
/Developer/SDKs/MacOSX10.4u.sdk -fno-strict-aliasing -Wno-long-double 
-no-cpp-precomp -mno-fused-madd -fno-common -dynamic -DNDEBUG -g -O3 
-D_FILE_OFFSET_BITS=64 -D_LARGE_FILES -D__WXDEBUG__ -D__WXMAC__ 
-I/usr/local/include -I/usr/include -I. -Isrc -Iswig -Iagg23/include 
-I. -I/usr/local/include -I/usr/include -I. 
-I/usr/local/include/freetype2 -I/usr/include/freetype2 -I./freetype2 
-Isrc/freetype2 -Iswig/freetype2 -Iagg23/include/freetype2 
-I./freetype2 -I/usr/local/include/freetype2 -I/usr/include/freetype2 
-I./freetype2 -I/usr/local/include -I/usr/include -I. 
-I/usr/local/lib/wxPython-unicode-2.7.1.3/lib/wx/include/mac-unicode-debug-2.7 
-I/usr/local/lib/wxPython-unicode-2.7.1.3/include/wx-2.7 
-I/Library/Frameworks/Python.framework/Versions/2.5/include/python2.5 
-c src/_wxagg.cpp -o build/temp.macosx-10.3-fat-2.5/src/_wxagg.o" 
failed with exit status 1

Hi NG,

    I posted this question few months ago and I didn't receive any
answer, so I'll try to rephrase my problem.

I have a GUI written in wxPython, the main portion of it is a
matplotlib canvas. There is a tree control on the left with
checkboxes: if the user checks a checkbox, I add a line on the plot.
So far so good. The problem comes when the user *un-checks* the
checkbox. I would like to remove the line from the plot, but the only
way I found to do it is to do:

line.set_linestyle("None")

Which is not very nice (and not very correct), as it seems to me that
the line is still there (invisible, but still there). Am I right or
have I completely misunderstood the set_linestyle behavior? If this
method is not correct, is there any alternative that I could try to
erase completely the line from the plot (and from the legend,
obviously)?
The alternative of replotting everything just because a line should be
erased came into my mind but I discarded it because it is
fantastically time consuming with my graphs.

Thank you for every hint.

Andrea.

"Imagination Is The Only Weapon In The War Against Reality."
http://xoomer.virgilio.it/infinity77/

Hello!

I'm dynamically dishing out plots via matplotlib through a web server,
so I really want to savefig to some type of memory object.

Using both os.pipe and cStringIO objects, I get this type of error:


In [9]:%history
1 : import matplotlib
2 : matplotlib.use('Agg')
3 : import pylab
4 : ax = pylab.gca()
5 : ax.specgram( range(100) )
6 : import cStringIO
7 : sbuf = cStringIO.StringIO()
8 : pylab.savefig( sbuf, format='png' )



In [8]:pylab.savefig( sbuf, format='png' )
---------------------------------------------------------------------------
exceptions.TypeError                                 Traceback (most
recent call last)

/home/gmabey/src/R9619_zippy/Projects/R9619_NChannelDetection/AcqLibWeb/<ipython console> 

/usr/local/stow/matplotlib-0.87.7/lib/python2.4/site-packages/matplotlib/pylab.py
in savefig(*args, **kwargs)
    811 def savefig(*args, **kwargs):
    812     fig = gcf()
--> 813     return fig.savefig(*args, **kwargs)
    814 if Figure.savefig.__doc__ is not None:
    815     savefig.__doc__ = _shift_string(Figure.savefig.__doc__)

/usr/local/stow/matplotlib-0.87.7/lib/python2.4/site-packages/matplotlib/figure.py
in savefig(self, *args, **kwargs)
    680                 kwargs[key] = rcParams['savefig.%s'%key]
    681 
--> 682         self.canvas.print_figure(*args, **kwargs)
    683 
    684     def colorbar(self, mappable, cax=None, **kw):

/usr/local/stow/matplotlib-0.87.7/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py
in print_figure(self, filename, dpi, facecolor, edgecolor, orientation,
**kwargs)
    458         if not is_string_like(filename):
    459             # assume png and write to fileobject
--> 460             self.renderer._renderer.write_png(filename)
    461             #pass
    462         else:

TypeError: Could not convert object to file pointer
> /usr/local/stow/matplotlib-0.87.7/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py(460)print_figure()
    459             # assume png and write to fileobject
--> 460             self.renderer._renderer.write_png(filename)
    461             #pass



I'm a bit confused as to where the exception is actually getting raised.
I suppose the renderer's write_png method must be in C?

I implemented a tempfile solution, but I'm surprised that the cStringIO
doesn't already work.  

<fellowsophical_question>

Should it?

</fellowsophical_question>

Thanks,
Glen

>>>>> "Yannick" == Yannick Copin <y....@ip...> writes:

    Yannick> Hi, I'd like to use axhspan, but specifying both y *and*
    Yannick> x extents in *data* units (by default, y is specified in
    Yannick> data units, and x in axes -- relative 0-1 -- units). How
    Yannick> should I proceed?

    Yannick> I naively tried to play with gca().transAxes and so on,
    Yannick> but I must admit I was utterly confused...

    Yannick> Or should I directly draw a rectangle? (but how to?)

Yes, you should draw a rectangle.  Eg, 

  from matplotlib.patches import Rectangle
  r = Rectangle((left, bottom), width, height, facecolor='red')
  ax.add_patch(r)

One thing to be aware of is that the axes datalimits are not updated
on a call to add_patch, so autoscaling may be off.  You can update the
datalim yourself by doing

  ax.update_datalim([(left, bottom), (right, top)])

and then

  ax.autoscale_view()

It might be worth adding some convenience functions to draw basic
primitives like this, ie one would rather do

  ax.rectangle((left, bottom), width, height, facecolor='red')

or

  ax.circle((x,y), radius=5, edgecolor='green')

and not have to worry about the rest

JDH
 

I am on windows with mpl 0.87.2.

Seweryn Kokot wrote:
> I can report the same problem with polish characters. Using WX and GTK it
> works but when using WXAgg or GTKAgg it doesn't.
> I wrote about this problem some time ago on this group but no
> response.
> So we are two. 
> I can add that the problem ocurrs in mpl 0.87.5 (debian sid) and not
> in mpl 0.87.2 (debian sarge).
>
> regards,
> SK
>
>
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>
>   

I can report the same problem with polish characters. Using WX and GTK it
works but when using WXAgg or GTKAgg it doesn't.
I wrote about this problem some time ago on this group but no
response.
So we are two. 
I can add that the problem ocurrs in mpl 0.87.5 (debian sid) and not
in mpl 0.87.2 (debian sarge).

regards,
SK

Hi everybody,

I try to make a plot using chineese strings (unicode).
The folowing code works :

# -*- coding: utf-8 -*-
import matplotlib
matplotlib.use('WX')
import pylab as p

p.plot((1,2,3))
p.xlabel( '=E6=98=AF=E6=9C=80=E5=A5=BD=E7=9A=84=E7=B7=A8=E7=A8=8B=E8=AA=9E=
=E8=A8=80')
p.text(0.5,1.5,u'=C3=A9=C3=A7=C3=A8')
p.show()

But the same code using WxAgg or TkAgg does not works (strings are not
displayed correctly). Is someone have an idea about this problem ?

Thanks.

Olivier

Hello,

I have a very weird problem with matplotlib and reals. Before starting to 
explain please let me apologize, I'm a newbie in Python and I suspect I'm 
doing something horribly wrong.

I have exposed in Python a C++ class with Boost::Python (in the form of a 
shared object). This class (among other things) reads from a file a list of 
real numbers, and stores them internally as doubles.

What happens is that when using matplotlib my exposed class internally begins 
to treat reals like they were integers. In other words, when reading reals 
from a file they are stored as integers, as can be seen by printing the 
contents of the class to screen: all decimal parts are truncated (i.e., 
3.85000E5 instead of 3.8500052719E5). This is _not_ some kind of 
visualization bug, since my class discards reals whose absolute value is 
(almost) zero and indeed when using matplotlib the class loads fewer "reals" 
from the very same file (in other words, values whose abs is < 1 are seen as 
zeroes and as such they get discarded: all reals whose abs is < 1 are missing 
when using matplotlib).

This is extremely strange to me, since I really don't get how matplotlib can 
influence the internal behaviour of my class. Is there somewhere some 
directive in python that can setup the floating point unit?

The "bug" happens exactly after loading matplotlib, without it everything is 
alright. The C++ code from which the class derives has been tested quite 
thoroughly, so I don't think the problem stems from there.

Any pointer would be greatly appreciated :) Thanks very much,

  Francesco (please CC as I'm not subscribed)

> There are currently no Mac binaries for
> that version on SourceForge or pythonmac.

They're up now.

Russell E Owen wrote:
>> Russell E. Owen wrote:
>>> On Feb 25 Samuel Smith reported that WXAgg crashed on MacOS X using 
>>> matplotlib 0.87. I just built matplotlib 0.87.7 on Python 2.5 and am 
>>> still having the problem.
>>> - matplotlib 0.87.7 (from source)
>>
>> That may be the issue -- are you sure you compiled against the right 
>> wx? Apple delivered a version with OS-X 10.4, and it tends to get 
>> found when you compile. Search the archives here for how to get it to 
>> find the right one.

> I used the wxPython binary installer from pythonmac.org. I assumed it 
> included a statically linked wx library but perhaps it does not.

yes, it does (well, not exactly, but it does include it's own copies of 
the wx libs)

> If not, 
> then I have no idea what wx it's using; I don't remember installing one 
> but I suppose I might have long ago.

However, the issue is not which wx wxPython is using, but which wx 
matplotlib was built against.

> I'm not sure this is relevant, but while building matplotlib I got 
> warnings about using the deprecated wxPython package instead of wx.

yup, that's it all right.

when mpl is building , it looks for a utility called wx-config, that 
tells it where to find the headers and libs it needs. The default 
wx-config on OS-X will point to the wrong wx, so you need to set a n 
environment variable or something pointing to the correct wx-config.

Sorry I don't have the specific details right now, but it should be in 
the archives, or poke through setup.py and associated files for more 
info. I think I put a helpful warning in there at some point.

good luck,

-Chris



  I
> had assumed the matplotlib folks were just a bit behind on their use of 
> wx, but maybe it is a clue as to what's wrong.
> 
> -- Russell


-- 
Christopher Barker, Ph.D.
Oceanographer

NOAA/OR&R/HAZMAT         (206) 526-6959   voice
7600 Sand Point Way NE   (206) 526-6329   fax
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Chr...@no...

On Feb 25 Samuel Smith reported that WXAgg crashed on MacOS X using 
matplotlib 0.87. I just built matplotlib 0.87.7 on Python 2.5 and am 
still having the problem.

Christopher Barker suggested disabling acceleration:
import matplotlib.backends.backend_wxagg 
matplotlib.backends.backend_wxagg._use_accelerator(False) 

and that does work, but I was wondering if a fix was known? Google only 
turned up the problem, not a solution.

Regards,

-- Russell

P.S. here are the gory details:

Configuration:
- PowerBook G4
- MacOS X 10.4.7
- Python 2.5 (from the python main site)
- wxPython 2.7.1.3 (from 
<http://pythonmac.org/packages/py25-fat/index.html>)
- numpy 1.0, numarray 1.5.1 and Numeric 24.2 (all from source)
- matplotlib 0.87.7 (from source)

TkAgg works fine, but WXAgg fails (using numarray or numeric as numerix) 
when I try to plot as follows:
>>> from pylab import *
>>> show()
Traceback (most recent call last):
  File 
"/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-pac
kages/matplotlib/backends/backend_wx.py", line 1048, in _onPaint
    self.draw(repaint=False)
  File 
"/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-pac
kages/matplotlib/backends/backend_wxagg.py", line 63, in draw
    self.bitmap = _convert_agg_to_wx_bitmap(self.get_renderer(), None)
MemoryError: _wxagg.convert_agg_to_wx_bitmap(): could not create the 
wx.Bitmap
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File 
"/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-pac
kages/matplotlib/backends/backend_wx.py", line 1193, in show
    figwin.canvas.draw()
  File 
"/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-pac
kages/matplotlib/backends/backend_wxagg.py", line 63, in draw
    self.bitmap = _convert_agg_to_wx_bitmap(self.get_renderer(), None)
MemoryError: _wxagg.convert_agg_to_wx_bitmap(): could not create the 
wx.Bitmap

>>>>> "Jose" == Jose Gomez-Dans <jgo...@gm...> writes:

    Jose> Hi!  We are tryint to access time data stored in an SQL The
    Jose> query returns a date object of type DbiDate. When printed,
    Jose> we get a nicely formatted text date. If cast into a float or
    Jose> int, you get the number of seconds elapsed since
    Jose> 1/1/1970. The way we are dealing with the conversion from
    Jose> this format into MPL format is:through time.strptime (using
    Jose> a format string), then converting that into a datetime
    Jose> object, and finally invoking MPL's date2num.

    Jose> Is there a better, quicker more obvious way to accomplish
    Jose> this?

Seconds since 1/1/1970 is often called "seconds since the epoch" and
mpl provides a conversion routine for dates in this form

  from matplotlib.dates import epoch2num

  e = int(mydate)  # convert your date to seconds since epoch
  d = epoch2num(e) # a mpl datenum

epoch2num also works over arrays or sequences of epochs.

JDH

Hi!
We are tryint to access time data stored in an SQL The query returns a
date object of type DbiDate. When printed, we get a nicely formatted
text date. If cast into a float or int, you get the number of seconds
elapsed since 1/1/1970. The way we are dealing with the conversion
from this format into MPL format is:through time.strptime (using a
format string), then converting that into a datetime object, and
finally invoking MPL's date2num.

Is there a better, quicker more obvious way to accomplish this?

Thanks!
Jose

>>>>> "Ryan" == Ryan Krauss <rya...@gm...> writes:

    Ryan> You have two options.  savefig does have a dpi option that
    Ryan> will essentially set the figure size for the saved file:
    Ryan> savefig('myfile.png',dpi=300)

    Ryan> play with dpi until you get a figure size you like.

    Ryan> The other way to set the figure size is to specify it when
    Ryan> you create the figure: figure(1,(10,8)) would create a
    Ryan> fairly large figure.  The figure (1 in this case) must not
    Ryan> already exist or at least it can't be shown on your screen
    Ryan> already.  By that I mean if you have already called
    Ryan> figure(1) previously in your code, you must close it before
    Ryan> you try to call figure(1,(10,8)) or the figure size won't be
    Ryan> affected.

Just to elaborate a bit.  The figure size in pixels is the figure size
in inches * the dpi.  you can set the figure size in inches when you
create it

  fig = figure(figsize=(6,8))  # 6x8 inches

and when you save it set the dpi

  fig.savefig('somefile.png', dpi=200)

and you will have a 1200x1600 pixel PNG file.

JDH

>>>>> "Etrade" == Etrade Griffiths <etr...@ds...> writes:

    Etrade> Sorry, another really basic matplotlib question ... how do
    Etrade> I set the font family of the axis tick labels?  I am using
    Etrade> wxPython/wxMpl and not the pylab interface so am trying to
    Etrade> avoid getp/setp.  I could do this using matplotlib.rc but
    Etrade> want to do it programatically

    Etrade> I tried

    Etrade> fig=self.get_figure() ax1=fig.gca() ax1.plot(x,y)
    Etrade> xt=ax1.get_xticklabels() d = { 'family' : 'sans-serif' }
    Etrade> ax1.set_xticklabels(xt, d)

    Etrade> But Python goes haywire ... There has to be a simpler way
    Etrade> but not found it yet.

I'd like to deprecate font dictionaries in the sense you are using
them here.  I implemented them before I fully understood python kwarg
processing.  You can do everything with kwargs that you can do with
dictionaries (since kwargs are dictionaries) so it is redundant and
less pythonic.  Since you are using the API, I suggest something like

for tick in ax1.xaxis.get_major_ticks():
     tick.label1.set_family('sans-serif')

and ditto for the minor ticks if you need them.  Also, since mpl
supports left/right or top/bottom ticking, if you are using these you
will also want to set the properties of tick.label2.

    Etrade> I am trying to do the same for the legend properties.  So
    Etrade> far we have

    Etrade> p=matplotlib.font_manager.FontProperties()
    Etrade> p.set_family('sans-serif') p.set_size('small')
    Etrade> fig.legend(lines, titles, 'upper right', prop=p)

    Etrade> but this looks fairly cludgy - is there a more elegant way
    Etrade> of doing the same thing?

I think this is elegant and not cludgy, so maybe I'm not the best one
to answer this.

JDH

Derek,

I stand corrected - the phrase should be "fairly kludgy" though "cludgy" 
might not be that far off when describing my code!

Alun

At 15:03 07/11/2006, you wrote:
> From
><http://www.bbc.co.uk/manchester/have_your_say/2002/11/06/manc_words_3.shtml>http://www.bbc.co.uk/manchester/have_your_say/2002/11/06/manc_words_3.shtml
>A cludgy is an outside loo ???
>
> >>> Etrade Griffiths <etr...@ds...> 2006/11/07 04:54 PM >>>
>Sorry, another really basic matplotlib question  ... how do I set the font
>family of the axis tick labels?  I am using wxPython/wxMpl and not the
>pylab interface so am trying to avoid getp/setp.  I could do this using
>matplotlib.rc but want to do it programatically
>
>I tried
>
>fig=self.get_figure()
>ax1=fig.gca()
>ax1.plot(x,y)
>xt=ax1.get_xticklabels()
>d = { 'family' : 'sans-serif' }
>ax1.set_xticklabels(xt, d)
>
>But Python goes haywire ... There has to be a simpler way but not found it 
>yet.
>
>I am trying to do the same for the legend properties.  So far we have
>
>p=matplotlib.font_manager.FontProperties()
>p.set_family('sans-serif')
>p.set_size('small')
>fig.legend(lines, titles, 'upper right', prop=p)
>
>but this looks fairly cludgy - is there a more elegant way of doing the
>same thing?
>
>Thanks in advance
>
>Alun Griffiths
>
>
>
>----------------! ---------------------------------------------------------
>Using Tomcat but need to do more? Need to support web services, security?
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John

thanks - twinx was indeed where I "borrowed" some of the lines 
from.  They're in the code explicitly 'cos it's a lot clearer to me than 
using twinx which is buried somewhere in the pylab interface

Alun Griffiths

At 15:32 07/11/2006, you wrote:
> >>>>> "Etrade" == Etrade Griffiths <etr...@ds...> writes:
>
>     Etrade> After poking around in the Pylab source, managed to sort
>     Etrade> the multiple line plotting using
>
>     Etrade> fig = self.get_figure() ax1 = fig.gca() ax2 =
>     Etrade> fig.add_axes(ax1.get_position(), sharex=ax1,
>     Etrade> frameon=False)
>
>Isn't this what the twinx function does - heave you seen
>http://matplotlib.sourceforge.net/examples/shared_axis_demo.py ?

>>>>> "Etrade" == Etrade Griffiths <etr...@ds...> writes:

    Etrade> After poking around in the Pylab source, managed to sort
    Etrade> the multiple line plotting using

    Etrade> fig = self.get_figure() ax1 = fig.gca() ax2 =
    Etrade> fig.add_axes(ax1.get_position(), sharex=ax1,
    Etrade> frameon=False)

Isn't this what the twinx function does - heave you seen
http://matplotlib.sourceforge.net/examples/shared_axis_demo.py ?

>>>>> "izak" == izak marais <iza...@ya...> writes:

    izak> I want to plot the probability density function, but
    izak> hist(...,normed=1,...) does not work as expected.  Here is
    izak> the code (with ipython line prompts):

    izak> In [69]: n, bins, patches = hist(data, bins = 100, normed =
    izak> 1) [ 0.12485649, 0.03013777, 0.03874856, 0.  , 0.00861079,
    izak> 0.  , 0.  , 0.  , 0.  , 0.  , 0.0043054 , 0.0043054 , 0.  ,
    izak> 0.  , 0.0043054 , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ,
    izak> 0.0043054 , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ,
    izak> 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ,
    izak> 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ,
    izak> 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ,
    izak> 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ,
    izak> 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ,
    izak> 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ,
    izak> 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ,
    izak> 0.0043054 ,] In [72]: sum(n) Out[72]: 0.22388059701492535


    izak> Should this not sum to 1.0 for it to be a PDF?  Thanks

It should integrate to one

  import matplotlib.mlab
  matplotlib.mlab.trapz(bins, n)

JDH

>>>>> "Bart" == Bart van Kuik <B.v...@sr...> writes:

    Bart> Hi list, I have created plots, but I find the line style is
    Bart> a bit "vague". The line isn't one sharp, contrasting color,
    Bart> but smoothly blended to the background. Is the correct term
    Bart> anti aliasing?

Yes.

    Bart> When setting the linestyle to 'dotted', the plot is not very
    Bart> clear, see the following result:
    Bart> http://vankuik.nl/cgi/wiki.cgi/download/vague_dotted_plot.png

Try turning antialiasing off for certain lines with 

  ax.plot(x,y,antialiased=False)

or globally with the lines.antialiased rc parameter; see
http://matplotlib.sf.net/matplotlibrc


JDH

>>> hist?
...
Docstring:
    HIST(x, bins=10, normed=0, bottom=0,
         align='edge', orientation='vertical', width=None, **kwargs)
    Compute the histogram of x.  bins is either an integer number of
    bins or a sequence giving the bins.  x are the data to be binned.
    The return values is (n, bins, patches)
    If normed is true, the first element of the return tuple will
    be the counts normalized to form a probability density, ie,
    n/(len(x)*dbin)
    align = 'edge' | 'center'.  Interprets bins either as edge
    or center values
    orientation = 'horizontal' | 'vertical'.  If horizontal, barh
    will be used and the "bottom" kwarg will be the left edges.
    width: the width of the bars.  If None, automatically compute
    the width.
    kwargs are used to update the properties of the
    hist bars

In your example, len(x)=52, and dbins=bin[1]-bin[0]=4.4666666666667, which 
gives:
n.sum() * dbins = 1

On Tue, 7 Nov 2006, Charlie Moad wrote: 
> You'll need 0.87.7.  I will try to build/post these 
> tonight.

Thanks!!!!!!!

> It's not terrible to get it compiled on OSX, but it's not 
> trivial at the same time. 

That is what I feared.

Thanks again!
Alan Isaac

You have two options.  savefig does have a dpi option that will
essentially set the figure size for the saved file:
savefig('myfile.png',dpi=300)

play with dpi until you get a figure size you like.

The other way to set the figure size is to specify it when you create
the figure:
figure(1,(10,8))
would create a fairly large figure.  The figure (1 in this case) must
not already exist or at least it can't be shown on your screen
already.  By that I mean if you have already called figure(1)
previously in your code, you must close it before you try to call
figure(1,(10,8)) or the figure size won't be affected.

Ryan

On 11/6/06, Chuang <chu...@gm...> wrote:
> Hi there,
>
> I want to automatically generated hundreds of figures with matplotlib.
> For each figure, I could use 'plot(Xi)' and 'show()' to draw the figure,
> and press the 'save' button in the figure panel, but this is not too
> automatically. Although I could use 'savefig()' to save the figures
> rather than using 'show()' to show it, and this makes whole program
> fully automatically, I don't know howto set the figure size before
> 'save' it (e.g. set size to 3000x1000pixel). The function 'savefig()'
> doesn't have any option to set figure size. So which function should I
> go to? or what should I do before using 'savefig()'?
>
> Thanks a lot,
> CC
>
>
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On Tuesday 07 November 2006 04:49, Bart van Kuik wrote:
> I have created plots, but I find the line style is a bit "vague". The
> line isn't one sharp, contrasting color, but smoothly blended to the
> background. Is the correct term anti aliasing?

Seems like it. Make sure the 'antialiased' property of your lines/dots is set 
to False by modifying your matplotlibrc default file (if you want this 
behaviour to become the default), or by using 
rcParams['lines.antialiased']=False, or rc('lines.antialiased',False)...

Sorry, another really basic matplotlib question  ... how do I set the font 
family of the axis tick labels?  I am using wxPython/wxMpl and not the 
pylab interface so am trying to avoid getp/setp.  I could do this using 
matplotlib.rc but want to do it programatically

I tried

fig=self.get_figure()
ax1=fig.gca()
ax1.plot(x,y)
xt=ax1.get_xticklabels()
d = { 'family' : 'sans-serif' }
ax1.set_xticklabels(xt, d)

But Python goes haywire ... There has to be a simpler way but not found it yet.

I am trying to do the same for the legend properties.  So far we have

p=matplotlib.font_manager.FontProperties()
p.set_family('sans-serif')
p.set_size('small')
fig.legend(lines, titles, 'upper right', prop=p)

but this looks fairly cludgy - is there a more elegant way of doing the 
same thing?

Thanks in advance

Alun Griffiths