Re: [Matplotlib-users] (no subject)

2012-03-27 Thread Francesco Montesano
Il 27 marzo 2012 05:08, Dorm Eight dormei...@yahoo.com ha scritto:
 hi, everybody!

 when I run my script, why there is no figure show up? I downloaded the demos
 from matplotlib gallery and it didn't work either.

 x=np.arange(100)
 y=x**2+3*x-1
 pl.plot(x,y)
 [matplotlib.lines.Line2D object at 0x2581050]
 pl.show()

 there is no error, no figure pop-up!

 Thank you for any answer!


Hi Dorm
If you can send more info about the operating system and matplotlib
version, it's easier to help you
(for the latter do
import matplotlib
print matplotlib.__version__
)

Cheers,
Francesco

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Re: [Matplotlib-users] Display problem on CentOS

2012-03-27 Thread Alexis Praga
I had the same problem on Debian.
Editing the matplotlibrc (should be installed somewhere in your
systeme) and changing the backend variable to Qt4Agg did the trick.



On Tue, Mar 27, 2012 at 12:14 AM, Magician f_magic...@mac.com wrote:
 Hi.

 I want to install Matplotlib from source code on CentOS.
 I've been using Matplotlib for a year.
 But this is the first time for me to install CentOS by myself.

 I installed CentOS 6.2 in basic install option.
 Next, I installed NumPy and Matplotlib.
 .matplotlibrc isn't set.

 It looks successfully installed, but when I type show() command,
 nothing appears.
 I can export PNG image by using savefig() command, so maybe
 I'm using invalid backend.

 How can I display plots with show() command?


 Magician

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Re: [Matplotlib-users] Escaping in matplotlib.font_manager.findfont('sans\\-serif')

2012-03-27 Thread Martin Mokrejs
Hi Michael,
  I was playing with python directly, so:

$ python
Python 2.7.2 (default, Mar 10 2012, 02:39:52) 
[GCC 4.5.3] on linux2
Type help, copyright, credits or license for more information.
 from matplotlib import font_manager 
 font_manager.path
'/home/mmokrejs/.fonts'
 font_manager.rcParams
{'axes.formatter.use_locale': False, 'figure.subplot.right': 0.9, 
'mathtext.cal': 'cursive', 'font.fantasy': ['Comic Sans MS', 'Chicago', 
'Charcoal', 'ImpactWestern', 'fantasy'], 'xtick.minor.pad': 4, 
'tk.pythoninspect': False, 'image.aspect': 'equal', 'font.cursive': ['Apple 
Chancery', 'Textile', 'Zapf Chancery', 'Sand', 'cursive'], 
'figure.subplot.hspace': 0.2, 'keymap.fullscreen': 'f', 'examples.directory': 
'/usr/share/doc/matplotlib-1.1.0/examples', 'xtick.direction': 'in', 
'axes.facecolor': 'w', 'mathtext.fontset': 'cm', 'ytick.direction': 'in', 
'keymap.pan': 'p', 'path.snap': True, 'axes.axisbelow': False, 
'lines.markersize': 6, 'figure.dpi': 80, 'text.usetex': False, 'image.origin': 
'upper', 'patch.edgecolor': 'k', 'legend.labelspacing': 0.5, 'ps.useafm': 
False, 'mathtext.bf': 'serif:bold', 'lines.solid_joinstyle': 'round', 
'font.monospace': ['Bitstream Vera Sans Mono', 'DejaVu Sans Mono', 'Andale 
Mono', 'Nimbus Mono L', 'Courier New', 'Courier', 'Fixed', 'Terminal', 
'monospace
'], 'xtick.minor.size': 2, 'axes.formatter.limits': [-7, 7], 
'figure.subplot.wspace': 0.2, 'savefig.edgecolor': 'w', 'image.cmap': 'jet', 
'lines.marker': 'None', 'tk.window_focus': False, 'backend.qt4': 'PyQt4', 
'font.serif': ['Bitstream Vera Serif', 'DejaVu Serif', 'New Century 
Schoolbook', 'Century Schoolbook L', 'Utopia', 'ITC Bookman', 'Bookman', 
'Nimbus Roman No9 L', 'Times New Roman', 'Times', 'Palatino', 'Charter', 
'serif'], 'savefig.facecolor': 'w', 'ytick.minor.size': 2, 'font.stretch': 
'normal', 'text.dvipnghack': None, 'ytick.color': 'k', 'svg.fonttype': 'path', 
'lines.linestyle': '-', 'xtick.color': 'k', 'xtick.major.pad': 4, 
'patch.facecolor': 'b', 'figure.figsize': [8.0, 6.0], 'axes.linewidth': 1.0, 
'keymap.zoom': 'o', 'legend.handletextpad': 0.8, 'mathtext.fallback_to_cm': 
True, 'lines.linewidth': 1.0, 'savefig.dpi': 100, 'verbose.fileo': 
'sys.stdout', 'svg.image_noscale': False, 'docstring.hardcopy': False, 
'font.size': 12, 'ps.fonttype': 3, 'path.simplify': True, 'key
map.all_axes': 'a', 'polaraxes.grid': True, 'text.hinting': True, 
'pdf.compression': 6, 'grid.linewidth': 0.5, 'legend.frameon': True, 
'figure.autolayout': False, 'figure.facecolor': '0.75', 'ps.usedistiller': 
False, 'legend.isaxes': True, 'figure.edgecolor': 'w', 'mathtext.tt': 
'monospace', 'contour.negative_linestyle': 'dashed', 'image.interpolation': 
'bilinear', 'lines.markeredgewidth': 0.5, 'keymap.home': ['h', 'r', 'home'], 
'axes3d.grid': True, 'axes.edgecolor': 'k', 'legend.shadow': False, 
'axes.titlesize': 'large', 'backend': 'GTKAgg', 'xtick.major.size': 4, 
'keymap.xscale': ['k', 'L'], 'legend.fontsize': 'large', 
'lines.solid_capstyle': 'projecting', 'mathtext.it': 'serif:italic', 
'keymap.save': 's', 'font.variant': 'normal', 'toolbar': 'toolbar2', 
'xtick.labelsize': 'medium', 'axes.unicode_minus': True, 'ps.distiller.res': 
6000, 'axes.labelweight': 'normal', 'pdf.fonttype': 3, 'patch.linewidth': 1.0, 
'pdf.inheritcolor': False, 'axes.color_cycle': ['b', 'g', 'r', 'c', 'm', 'y'
, 'k'], 'lines.dash_capstyle': 'butt', 'lines.color': 'b', 
'figure.subplot.top': 0.9, 'pdf.use14corefonts': False, 'legend.markerscale': 
1.0, 'patch.antialiased': True, 'font.style': 'normal', 'keymap.forward': 
['right', 'v'], 'backend_fallback': True, 'legend.fancybox': False, 
'grid.linestyle': ':', 'savefig.extension': 'auto', 'text.color': 'k', 
'mathtext.rm': 'serif', 'legend.loc': 'upper right', 'interactive': False, 
'cairo.format': 'png', 'savefig.orientation': 'portrait', 'svg.image_inline': 
True, 'ytick.major.size': 4, 'axes.grid': False, 'plugins.directory': 
'.matplotlib_plugins', 'grid.color': 'k', 'timezone': 'UTC', 'ytick.major.pad': 
4, 'legend.borderpad': 0.4, 'examples.download': False, 'lines.dash_joinstyle': 
'round', 'datapath': '/usr/share/matplotlib/mpl-data', 'lines.antialiased': 
True, 'text.latex.unicode': False, 'legend.handleheight': 0.7, 'image.lut': 
256, 'figure.subplot.bottom': 0.1, 'text.latex.preamble': [''], 
'legend.numpoints': 2, 'legend.handlelength': 2.0,
 'keymap.grid': 'g', 'font.sans-serif': ['Bitstream Vera Sans', 'DejaVu Sans', 
'Lucida Grande', 'Verdana', 'Geneva', 'Lucid', 'Arial', 'Helvetica', 'Avant 
Garde', 'sans-serif'], 'axes.labelcolor': 'k', 'font.family': 'sans-serif', 
'axes.labelsize': 'medium', 'ytick.minor.pad': 4, 'legend.borderaxespad': 0.5, 
'mathtext.sf': 'sans\\-serif', 'axes.hold': True, 'verbose.level': 'silent', 
'mathtext.default': 'it', 'figure.subplot.left': 0.125, 'legend.columnspacing': 
2.0, 'text.latex.preview': False, 'font.weight': 'normal', 'keymap.yscale': 
'l', 'image.resample': False, 'agg.path.chunksize': 0, 
'path.simplify_threshold': 

Re: [Matplotlib-users] Display problem on CentOS

2012-03-27 Thread Magician
Thank you, Alexis.

I try to install PyQt4 and set Qt4Agg just now, but nothing displayed.
Ummm...what's wrong...??


Magician


On 2012/03/27, at 17:05, Alexis Praga wrote:

 I had the same problem on Debian.
 Editing the matplotlibrc (should be installed somewhere in your
 systeme) and changing the backend variable to Qt4Agg did the trick.
 
 
 
 On Tue, Mar 27, 2012 at 12:14 AM, Magician f_magic...@mac.com wrote:
 Hi.
 
 I want to install Matplotlib from source code on CentOS.
 I've been using Matplotlib for a year.
 But this is the first time for me to install CentOS by myself.
 
 I installed CentOS 6.2 in basic install option.
 Next, I installed NumPy and Matplotlib.
 .matplotlibrc isn't set.
 
 It looks successfully installed, but when I type show() command,
 nothing appears.
 I can export PNG image by using savefig() command, so maybe
 I'm using invalid backend.
 
 How can I display plots with show() command?
 
 
 Magician


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Re: [Matplotlib-users] Display problem on CentOS

2012-03-27 Thread Alexis Praga
You can check you are editing the correct configuration file with (in
the Python shell) :
 import matplotlib
 matplotlib.matplotlib_fname()

You can also try other backends. For a list, see :
http://matplotlib.sourceforge.net/faq/usage_faq.html#what-is-a-backend

On Tue, Mar 27, 2012 at 2:46 PM, Magician f_magic...@mac.com wrote:
 Thank you, Alexis.

 I try to install PyQt4 and set Qt4Agg just now, but nothing displayed.
 Ummm...what's wrong...??


 Magician


 On 2012/03/27, at 17:05, Alexis Praga wrote:

 I had the same problem on Debian.
 Editing the matplotlibrc (should be installed somewhere in your
 systeme) and changing the backend variable to Qt4Agg did the trick.



 On Tue, Mar 27, 2012 at 12:14 AM, Magician f_magic...@mac.com wrote:
 Hi.

 I want to install Matplotlib from source code on CentOS.
 I've been using Matplotlib for a year.
 But this is the first time for me to install CentOS by myself.

 I installed CentOS 6.2 in basic install option.
 Next, I installed NumPy and Matplotlib.
 .matplotlibrc isn't set.

 It looks successfully installed, but when I type show() command,
 nothing appears.
 I can export PNG image by using savefig() command, so maybe
 I'm using invalid backend.

 How can I display plots with show() command?


 Magician


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Re: [Matplotlib-users] Display problem on CentOS

2012-03-27 Thread Eric Firing
On 03/26/2012 12:14 PM, Magician wrote:
 Hi.

 I want to install Matplotlib from source code on CentOS.
 I've been using Matplotlib for a year.
 But this is the first time for me to install CentOS by myself.

 I installed CentOS 6.2 in basic install option.
 Next, I installed NumPy and Matplotlib.
 .matplotlibrc isn't set.

 It looks successfully installed, but when I type show() command,
 nothing appears.
 I can export PNG image by using savefig() command, so maybe
 I'm using invalid backend.

It sounds like the problem is that you installed mpl without having 
installed the dependencies for any of the interactive backends.  See

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

Eric

 How can I display plots with show() command?


 Magician

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[Matplotlib-users] zooming with transforms

2012-03-27 Thread Arnaud Gardelein
What is the most effective approach to perform a 'zoom under mouse
cursor'? Currently I use the following code (considering g as mpl.Axes),
but set_xlim() is called twice. Is there a better approach?

code
# First zoom
result = \
g.bbox.shrunk(DEFAULT_ZOOM_FACTOR,1).transformed(g.transData.inverted())
g.set_xlim(*result.intervalx)
# Get the new location of initial event
b = g.transData.transform_point([event.xdata, 0])
# Then replace the original location under the mouse cursor
result = \
g.bbox.translated(-(event.x-b[0]),0).transformed(g.transData.inverted())
g.set_xlim(*result.intervalx)
/code

Arnaud.



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Re: [Matplotlib-users] Export 3D plot to 3D file format

2012-03-27 Thread klo uo
Ah mayavi... I find it complicated for building, and in Ubuntu repository
(or launchpad) there is some old version
I'll try later today to build it

Thanks for your suggestion,
Cheers


On Tue, Mar 27, 2012 at 11:25 PM, Frédéric Vogt fv...@mso.anu.edu.auwrote:

 Is the savefig function what you're looking for ?

 http://github.enthought.com/mayavi/mayavi/auto/mlab_figure.html

 Note that as far as I know, the .mtl file associated with a given .obj
 file is not handled properly - all your colors will be white. Personally, I
 export in .vrml which suits my needs better, as it does handle colors in a
 satisfactory way.


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Re: [Matplotlib-users] Export 3D plot to 3D file format

2012-03-27 Thread Frédéric Vogt
Is the savefig function what you're looking for ?

http://github.enthought.com/mayavi/mayavi/auto/mlab_figure.html

Note that as far as I know, the .mtl file associated with a given .obj file is 
not handled properly - all your colors will be white. Personally, I export in 
.vrml which suits my needs better, as it does handle colors in a satisfactory 
way. 

Cheers, 
Fréd


On 27/03/2012, at 11:24 AM, klo uo wrote:

 Does someone maybe knows of a project that allows exporting MPL 3D plot 
 (mpl_toolkits.mplot3d.Axes3D) to 3D file format, like OBJ, 3DS, BLEND ... any 
 kind?
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