matplotlib-users Mailing List for matplotlib

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...@ms...>wrote:

> 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.
>
>

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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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.

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.

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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Hello William - did you manage to solve this problem without resorting to
building from source?

Thanks!
-- 
View this message in context: http://old.nabble.com/Having-trouble-installing-matplotlib-on-Mac-OS-X-Lion-tp32222373p33544787.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

self._ax.grid

is in the code I have.  


Jae-Joon: Yannick must have modified the code beyond the version to which you refer.

Mike



________________________________
 From: Jae-Joon Lee <lee...@gm...>
To: Yannick Copin <yan...@la...> 
Cc: Michael Rawlins <ra...@ge...>; mat...@li... 
Sent: Monday, March 26, 2012 9:38 PM
Subject: Re: [Matplotlib-users] Taylor diagram (2nd take)
 
On Wed, Feb 22, 2012 at 12:10 AM, Yannick Copin
<yan...@la...> wrote:
> after iterating with Michael A. Rawlins over my previous attempt to code a
> Taylor diagram (see [1]), here's a new version of my code, along with an
> example plot. Maybe it could make its way into the gallery as an example of
> Floating Axes and Grid Finder (even though I'm not sure the code is
> particularly exemplary, comments are welcome).

Good to know that someone is using axisartist toolkit.
Just a quick comment.


    def add_grid(self, *args, **kwargs):
        """Add a grid."""

        self.ax.grid(*args, **kwargs)


Maybe you wanted "self._ax.grid"?

Regards,

-JJ

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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_m...@ma...> 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_m...@ma...> 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
>

Hi!
I am trying to install the matplotlib in my pc with the following
configuration
Windows 7, 64
python2.6.6

>>> numpy.__version__
'1.6.1'
>>> matplotlib.__version__
'1.1.0'

once i try to test the code i get the following error fir matplotlib:

>>> import numpy
>>> import numpy as np
>>> import matplotlib
>>> import matplotlib.pyplot as plt

Traceback (most recent call last):
  File "<pyshell#5>", line 1, in <module>
    import matplotlib.pyplot as plt
  File "C:\Python26\lib\site-packages\matplotlib\pyplot.py", line 23, in
<module>
    from matplotlib.figure import Figure, figaspect
  File "C:\Python26\lib\site-packages\matplotlib\figure.py", line 16, in
<module>
    import artist
  File "C:\Python26\lib\site-packages\matplotlib\artist.py", line 6, in
<module>
    from transforms import Bbox, IdentityTransform, TransformedBbox,
TransformedPath
  File "C:\Python26\lib\site-packages\matplotlib\transforms.py", line 34,
in <module>
    from matplotlib._path import affine_transform
ImportError: DLL load failed: %1 is not a valid Win32 application.

can someone help me with this ?

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_m...@ma...> 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

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': 0.1111111111111111, 'ytick.labelsize': 'medium', 'ps.papersize': 'letter', 'svg.embed_char_paths': True, 'keymap.back': ['left', 'c', 'backspace']}
>>> font_manager.findfont('cmb10')
/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1216: UserWarning: findfont: Font family ['cmb10'] not found. Falling back to Bitstream Vera Sans
  (prop.get_family(), self.defaultFamily[fontext]))
'/usr/share/fonts/mathematica-fonts/Vera.ttf'
>>> font_manager.findfont('Utopia')
/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1216: UserWarning: findfont: Font family ['Utopia'] not found. Falling back to Bitstream Vera Sans
  (prop.get_family(), self.defaultFamily[fontext]))
'/usr/share/fonts/mathematica-fonts/Vera.ttf'
>>> font_manager.findfont('monospace')
'/usr/share/fonts/mathematica-fonts/VeraMono.ttf'
>>> font_manager.findfont('sans-serif')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 1327, in findfont
    font = fontManager.findfont(prop, **kw)
  File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 1172, in findfont
    prop = FontProperties(prop)
  File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 673, in __init__
    self.set_fontconfig_pattern(family)
  File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 893, in set_fontconfig_pattern
    for key, val in self._parse_fontconfig_pattern(pattern).items():
  File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 685, in _parse_fontconfig_pattern
    return parse_fontconfig_pattern(pattern)
  File "/usr/lib64/python2.7/site-packages/matplotlib/fontconfig_pattern.py", line 127, in parse
    raise ValueError("Could not parse font string: '%s'\n%s" % (pattern, e))
ValueError: Could not parse font string: 'sans-serif'
Expected end of text (at char 4), (line:1, col:5)
>>> font_manager.findfont('sans\\-serif')
'/usr/share/fonts/mathematica-fonts/Vera.ttf'
>>> [x for x in font_manager.rcParams.keys() if x.startswith('font')]
['font.cursive', 'font.family', 'font.fantasy', 'font.monospace', 'font.sans-serif', 'font.serif', 'font.size', 'font.stretch', 'font.style', 'font.variant', 'font.weight']
>>> [x for x in font_manager.rcParams.values() if x.startswith('cm')]
/usr/lib64/python2.7/site-packages/matplotlib/__init__.py:658: UserWarning: svg.embed_char_paths is deprecated and replaced with svg.fonttype; please use the latter.
  warnings.warn(self.msg_depr % (key, alt))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'int' object has no attribute 'startswith'
>>> [x for x in font_manager.rcParams.values() if str(x).startswith('cm')]
['cm']
>>> [x for x in font_manager.rcParams.items() if x[1]=='cm']
[('mathtext.fontset', 'cm')]
>>> [x for x in font_manager.rcParams.items() if x[1]=='10']
[]
>>> [x for x in font_manager.rcParams.items() if x[1]=='bold']
[]
>>> font_manager.findfont('cmb10')
'/usr/share/fonts/mathematica-fonts/Vera.ttf'
>>> font_manager.findfont('cmtt10')
/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1216: UserWarning: findfont: Font family ['cmtt10'] not found. Falling back to Bitstream Vera Sans
  (prop.get_family(), self.defaultFamily[fontext]))
'/usr/share/fonts/mathematica-fonts/Vera.ttf'
>>> font_manager.findfont('cmss10')
/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1216: UserWarning: findfont: Font family ['cmss10'] not found. Falling back to Bitstream Vera Sans
  (prop.get_family(), self.defaultFamily[fontext]))
'/usr/share/fonts/mathematica-fonts/Vera.ttf'
>>>


Michael Droettboom wrote:
> On 03/26/2012 04:36 PM, Martin Mokrejs wrote:
>> Hi,
>>    I wondered why the matplotlib.font_manager.rcParams contains sometimes
>> escaped minus signs in font names:
>>>>> font_manager.rcParams['mathtext.sf']
>> 'sans\\-serif'
>>>>> font_manager.findfont('sans-serif')
>> Traceback (most recent call last):
>>    File "<stdin>", line 1, in<module>
>>    File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 1327, in findfont
>>      font = fontManager.findfont(prop, **kw)
>>    File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 1172, in findfont
>>      prop = FontProperties(prop)
>>    File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 673, in __init__
>>      self.set_fontconfig_pattern(family)
>>    File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 893, in set_fontconfig_pattern
>>      for key, val in self._parse_fontconfig_pattern(pattern).items():
>>    File "/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py", line 685, in _parse_fontconfig_pattern
>>      return parse_fontconfig_pattern(pattern)
>>    File "/usr/lib64/python2.7/site-packages/matplotlib/fontconfig_pattern.py", line 127, in parse
>>      raise ValueError("Could not parse font string: '%s'\n%s" % (pattern, e))
>> ValueError: Could not parse font string: 'sans-serif'
>> Expected end of text (at char 4), (line:1, col:5)
>>>>> font_manager.findfont('sans\\-serif')
>> '/usr/share/fonts/mathematica-fonts/Vera.ttf'
>>
>> And there is nothing to read in the help string for this function, definitely
>> a place where the escaping should be explained.
>>
>>>>> help(font_manager.findfont)
>>>>>
>> Anyway, I think the requirement for the escaping should be removed, it should be
>> escaped internally in the routine. So why is it so? For historic reasons? ;-)
> 
> I've never seen this happen before.  Are you setting "mathtext.sf" in a 
> matplotlibrc file or in Python code?  Can you provide either so I can 
> see if I can reproduce the problem here?

See above. In python. I just wondered whether it was typo or escaping. Still think
it should be hidden to the user.


>> Isn't the escaping a cause for the seemingly missing fonts, like reported here?
>> http://www.mail-archive.com/mat...@li.../msg22860.html
> 
> No -- that appears to be caused by either using the wrong font name or 
> having an outdated font cache.
> 
>>
>>
>> I am also getting:
>>
>> /usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1216: UserWarning: findfont: Font family ['cmb10'] not found. Falling back to Bitstream Vera Sans
>>    (prop.get_family(), self.defaultFamily[fontext]))
>> /usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1216: UserWarning: findfont: Font family ['cmtt10'] not found. Falling back to Bitstream Vera Sans
>>    (prop.get_family(), self.defaultFamily[fontext]))
>> /usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1216: UserWarning: findfont: Font family ['cmss10'] not found. Falling back to Bitstream Vera Sans
>>    (prop.get_family(), self.defaultFamily[fontext]))
>>
>> The font to be used is assembled from several fields in the rcParams. I guess from:
>>
>>>>> [x for x in font_manager.rcParams.keys() if x.startswith('font')]
>> ['font.cursive', 'font.family', 'font.fantasy', 'font.monospace', 'font.sans-serif', 'font.serif', 'font.size', 'font.stretch', 'font.style', 'font.variant', 'font.weight']
>>>>> [x for x in font_manager.rcParams.values() if x.startswith('cm')]
>> /usr/lib64/python2.7/site-packages/matplotlib/__init__.py:658: UserWarning: svg.embed_char_paths is deprecated and replaced with svg.fonttype; please use the latter.
>>    warnings.warn(self.msg_depr % (key, alt))
>> Traceback (most recent call last):
>>    File "<stdin>", line 1, in<module>
>> AttributeError: 'int' object has no attribute 'startswith'
>>>>> [x for x in font_manager.rcParams.items() if x[1]=='cm']
>> [('mathtext.fontset', 'cm')]
>> What else is used to give out the 'cmb10', 'cmtt10' and 'cmss10'?
> 
> These are hardcoded in the mathtext engine and used when 
> `mathtext.fontset` is set to `cm`.

So my case (defaults).

> 
> Have you tried deleting your font cache?  (~/.matplotlib/fontList.cache)

Ah, thanks for the full PATH, I couldn't find it. ;-) Yes, removing the file helped
me as well to get rid of the UserWarning message.

Martin

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_m...@ma...> 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
>
> ------------------------------------------------------------------------------
> This SF email is sponsosred by:
> Try Windows Azure free for 90 days Click Here
> http://p.sf.net/sfu/sfd2d-msazure
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Il 27 marzo 2012 05:08, Dorm Eight <dor...@ya...> 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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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!

On Wed, Feb 22, 2012 at 12:10 AM, Yannick Copin
<yan...@la...> wrote:
> after iterating with Michael A. Rawlins over my previous attempt to code a
> Taylor diagram (see [1]), here's a new version of my code, along with an
> example plot. Maybe it could make its way into the gallery as an example of
> Floating Axes and Grid Finder (even though I'm not sure the code is
> particularly exemplary, comments are welcome).

Good to know that someone is using axisartist toolkit.
Just a quick comment.


    def add_grid(self, *args, **kwargs):
        """Add a grid."""

        self.ax.grid(*args, **kwargs)


Maybe you wanted "self._ax.grid"?

Regards,

-JJ

On 3/26/12 12:49 PM, Christopher Graves wrote:
> On Sun, Mar 11, 2012 at 2:32 PM, Christopher Graves
> <chr...@gm... <mailto:chr...@gm...>> wrote:

>         Try this:
>
>         from pylab import *
>         from matplotlib.ticker import AutoMinorLocator
>
>         clf()
>         ax=subplot(111)
>         ax.autoscale(tight=True)
>         plot([1,2,4],[1,2,3])
>         ax.xaxis.set_minor_locator(__AutoMinorLocator(2))
>         ax.yaxis.set_minor_locator(__AutoMinorLocator(2))
>         draw()
>
>         M
>
>         PS: I believe this is a fairly new feature...
>
>
>     Thanks! Great news that AutoMinorLocator has been added and
>     accomplishes this. Regarding the P.S. I can confirm that the feature
>     was not in matplotlib 1.0.1 - I had to update to 1.1.0 to use it.
>
>     Best /Chris
>
>
>
> Hi Mike,
>
> A follow-up question... When using that, if one then tries to manually
> use the zoom-box tool available with a matplotlib plot, if one draws too
> small of a box (less than 2 major ticks in x or y dimension, based on
> the following error message), it gives the following error and further
> operations on the plot do not work.
>
> ValueError: Need at least two major ticks to find minor tick locations
> ( File "/usr/lib/pymodules/python2.7/matplotlib/ticker.py", line 1528,
> in __call__ )
>
> Any way to avoid this for now? (And ultimately, should this be made into
> a bug fix request?)

Ok, I seem to remember seeing this error before, but I can't trip it now 
(with either 1.1.1rc or today's git checkout of 1.2.x). Do you have
a short script that can reproduce this? For me, the zoom-box tool seems 
to be [correctly] setting the majortick locations as I zoom in, thus 
preventing this exception. I should note that I'm using the GTKAgg 
frontend. This may be the issue. A long time ago I was using the MacOSX 
frontend, and maybe this was when I was seeing it...

Aside from that, this would be a bug.

M

Just to clarify, both arrowstyle='simple' and arrowstyle='-|>' draw
arrows as patches. In your first example with arrowstyle='simple', the
arrow is drawn as filled patch without edges, i.e., linestyle is not
effective. arrowstyle="-|>" also uses a patch but no "fill", only
"stroke".

Regards,

-JJ

On Tue, Mar 13, 2012 at 3:28 AM, Tony Yu <ts...@gm...> wrote:
> Nevermind: I though arrowstyle='simple' and arrowstyle='-|>' were the same
> thing, but apparently not (I guess one draws the line as a patch, and the
> other as a line). So the following works as expected:

zorders are only meaningful among objects in a same axes.

An easy workaround is to move the legend in ax1 to ax2.

   ax2.add_artist(leg1)
   ax1.legend = None

Regards,

-JJ



On Thu, Mar 22, 2012 at 10:13 PM, David Verelst <dav...@gm...> wrote:
> Hi All,
>
> I am plotting on two different y-axes: one on the left (ax1) and one on
> the right (ax2). Both share the same x-axes. The problem I am facing
> relates back to the zorder of the legend (at least, that is what I
> think): I want it to be on the foreground at all times. In order to do
> so, I change the zorder of the ax1.legend (left y axes) such that the
> ax2.plots (right y-axes) are under ax1.legend. However, that doesn't
> work: all the plots on the right axes (so using ax2) end up above the
> legend 1 on the left, despite having a lower zorder.
>
> Note that I am also giving the grids on both ax1 and ax2 a lower zorder
> value compared to the legends, but the grid still ends up on top of
> legend 1 on the left.
>
> # version info:
>
> # Python 2.6.5 (r265:79063, Apr 16 2010, 13:57:41) [GCC 4.4.3] on linux2
>
> # NumPy 1.6.1, Matplotlib 1.1.0
>
> import pylab as plt
>
> import numpy as np
>
> # plotting on the left y-axes,
>
> ax1 = plt.axes(zorder=10)
>
> ax1.plot(range(0,5,1), 'r', label='ax1 ax1 ax1 ax1', zorder=11)
>
> ax1.plot(np.arange(3,4.1,1), 'r--', label='ax1 ax1 ax1 ax1', zorder=12)
>
> gr1 = ax1.grid(zorder=13)
>
> # legend of the left y-axes, force high zorder
>
> leg1 = ax1.legend(loc='upper left')
>
> leg1.set_zorder(30)
>
> # plotting on the right y-axes,
>
> ax2 = plt.twinx()
>
> ax2.set_zorder(20)
>
> ax2.plot(range(4,-1,-1), 'b', label='ax2 ax2 ax2 ax2', zorder=21)
>
> ax2.plot(np.arange(4,2.9,-1), np.arange(3,4.1,1), 'b--',
>
> label='ax2 ax2 ax2 ax2', zorder=22)
>
> gr2 = ax2.grid(zorder=23)
>
> # legend of the right y-axes, force high zorder
>
> leg2 = ax2.legend(loc='upper right')
>
> leg2.set_zorder(40)
>
> print '======= zorder:'
>
> print ' ax1: %i' % ax1.get_zorder()
>
> print ' ax2: %i' % ax2.get_zorder()
>
> print 'leg1: %i' % leg1.get_zorder()
>
> print 'leg2: %i' % leg2.get_zorder()
>
>
> What am I missing here?
> Thanks,
> David
>
>
>
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Hello,

I am programming using POO (object programming)

I cannot find a way to create a plot as an object

In concept, I would like to do something like

"""

from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure

self.figure = Figure(figsize=(600,600), dpi=72, facecolor=(1,1,1), edgecolor=(0,0,0))
self.figureCanvas = FigureCanvas(self.figure)

for i in range(2):

    plots.append(create_axis())    <-- create plot object



self.plots[1].xlabel = 'X1'
self.plots[2].xlabel = 'X2'

for plot in self.plots:

    self.figure.add_plots(plot)
self.figure.show()

self.plots[1].xlabel = 'XX1'

self.figure.updatedisplay()


"""

Is it possible?
If so, how?

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?