matplotlib-users Mailing List for matplotlib (Page 5)

with:

test = [ 32.539772  32.504516  32.47944   32.380905  32.31546   32.193687
  32.20433   32.008384  32.081062  32.065277  31.934586  32.09236
  31.952614  32.146781  31.724289  31.52745   31.535683  31.596657
  31.543633  31.562935  31.882072  31.717575  31.675995  31.609718
  31.52964   31.4748    31.325775  31.239838  31.350319  31.172882
  31.58982   31.549728  31.277122  31.196587  31.15017   30.995155
  30.917984  31.02172   30.932365  31.364365  31.20729   30.92582 ]

toto = [ 4781.7     4813.9     4846.1     4878.3     4910.5
4942.7     4974.9
  5007.1     5039.3     5071.5     5103.7     5135.9     5168.1     5200.3
  5232.5     5264.7     5296.9     5329.1     5361.3     5393.5     5425.7
  5457.9     5490.1     5522.3002  5554.5     5586.7     5618.9     5651.1
  5683.3002  5715.5     5747.7     5779.9     5812.1     5844.3002
  5860.4     5876.5     5908.7     5940.9     5973.1     6005.3002
  6037.5     6069.7   ]

max(test) = 36.347007

plot (toto,test)

I obtain axes between:

x= [4600,6200]
y= [0,5000]


matplotlib CVS version.

On Thu, 17 Feb 2005, Perry Greenfield wrote:

> Sure. To fill the entire window:
> 
> axes((0,0,1,1)) # defines the axes bound to use the whole figure region 

Yes!  There is (I think) an error in the documentation, both HTML online
(http://matplotlib.sourceforge.net/matplotlib.pylab.html#-figimage) and
also the .pdf version, where it says this:

"you can define an Axes with size [0,1,0,1]"

The order of the points is wrong there, and you set me straight.

Thanks much,
Rich

On Feb 17, 2005, at 10:22 AM, Rich Drewes wrote:

> On Thu, 17 Feb 2005, Perry Greenfield wrote:
>
>> If you want an image to spatially scale with the plot window, use
>> implot instead of figimage. Figimage does not resample images 
>> spatially
>> but rather displays them pixel for pixel (that's what distinguishes
>> the two functions)
>
> Thanks for your response.  I am familiar with implot however I've never
> been able to get it to plot with distinct pixel boundaries.  What I 
> want
> is a figimage-like plot with distinct, single-color regions, just 
> larger
> regions, so that the entire screen window is filled.  No smoothing or
> interpolation, just big chunky pixels.
>
> Can this be done?
>
> Rich

Sure. To fill the entire window:

axes((0,0,1,1)) # defines the axes bound to use the whole figure region 
(i.e, window)
imshow(imdata, interpolation="nearest") # use nearest neighbor 
interpolation to rescale image

Is this what you are looking for?

Perry

On Thu, 17 Feb 2005, Perry Greenfield wrote:

> If you want an image to spatially scale with the plot window, use 
> implot instead of figimage. Figimage does not resample images spatially
> but rather displays them pixel for pixel (that's what distinguishes 
> the two functions)

Thanks for your response.  I am familiar with implot however I've never
been able to get it to plot with distinct pixel boundaries.  What I want
is a figimage-like plot with distinct, single-color regions, just larger
regions, so that the entire screen window is filled.  No smoothing or
interpolation, just big chunky pixels.

Can this be done?

Rich

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I develop a web application  under  zope and I would like installing  
matplotlib under zope.Considering that the python of zope has no the 
entry in the register, how installing matplotlib?
thanks

Hi,

How can I save (and relaod) a matrix into a binary file *with* matrix 
shape and type storage.
I have a feature request :
Basically, it would be great to be able to do something like :

X  = rand(100,100)
BSave('foo.dat', X)
Y =  BLoad('foo.dat')

and at this point, we sould have X==Y (without having to use reshape and 
having to take care on types)

Waiting for such a feature, I'm using gzipped ASCII files but IMHO it is 
far to be the best solution.

Cheers.
Xavier.
ps : Everything else seems to work just great in 0.72 : Thank's for all 
the job on matplotlib.

If you want an image to spatially scale with the plot window, use 
implot instead of figimage. Figimage does not resample images spatially
but rather displays them pixel for pixel (that's what distinguishes 
the two functions)

Perry Greenfield

> -----Original Message-----
> From: mat...@li...
> [mailto:mat...@li...]On Behalf Of Rich
> Drewes
> Sent: Wednesday, February 16, 2005 11:24 PM
> To: mat...@li...
> Subject: [Matplotlib-users] figimage filling entire image
> 
> 
> Hello,
> 
> I'm trying to get a figimage to be scaled up dimensionally to occupy the 
> entire plot window rather than scrunched up in the upper left.  The docs 
> cryptically suggest:
> 
> " * origin is either 'upper' or 'lower', which indicates where the [0,0]
>     index of the array is in the upper left or lower left corner of
>     the axes.  Defaults to the rc image.origin value
>  
> This complements the axes image which will be resampled to fit the
> current axes.  If you want a resampled image to fill the entire
> figure, you can define an Axes with size [0,1,0,1]."
> 
> But that is too cryptic for my current knowledge state.  The following
> creates a scrunched image:
> 
> figure(1)
> d=rand(100, 100)
> figimage(d)
> show()
> 
> But this, probably naive guess, errors out with a 
> transformation-not-invertible message:
> 
> figure(1)
> axes([0,1,0,1])
> d=rand(100, 100)
> figimage(d)
> show()
> 
> Suggestions appreciated.  Thanks,
> 
> Rich
> 
> 
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Hello,

I'm trying to get a figimage to be scaled up dimensionally to occupy the 
entire plot window rather than scrunched up in the upper left.  The docs 
cryptically suggest:

" * origin is either 'upper' or 'lower', which indicates where the [0,0]
    index of the array is in the upper left or lower left corner of
    the axes.  Defaults to the rc image.origin value
 
This complements the axes image which will be resampled to fit the
current axes.  If you want a resampled image to fill the entire
figure, you can define an Axes with size [0,1,0,1]."

But that is too cryptic for my current knowledge state.  The following
creates a scrunched image:

figure(1)
d=rand(100, 100)
figimage(d)
show()

But this, probably naive guess, errors out with a 
transformation-not-invertible message:

figure(1)
axes([0,1,0,1])
d=rand(100, 100)
figimage(d)
show()

Suggestions appreciated.  Thanks,

Rich

I haven't tried wxPython with Python2.4, but with WinXP, 
Python 2.3.2, wxPython 2.5.3.1, and matplotlib 0.72.0, 
 embedding_in_wx.py
 embedding_in_wx2.py
 embedding_in_wx3.py

all work ok for me. For completeness,

 embedding_in_wx4.py 

fails:
   Traceback (most recent call last):
     File "embedding_in_wx4.py", line 22, in ?
       from matplotlib.numerix import rand
   ImportError: cannot import name rand

but replacing
   from matplotlib.numerix import rand
with
   from matplotlib.numerix.random_array import random as rand

fixes that problem.  I think embedding_in_wx4.py has some other
problems (Toolbar2 is not visible without a resize, the window
does not respond to all events, including closing the window),
but that's a separate topic.

I agree with John's assessment that the original poster probably
had a bad install of wx.  Does the wx demo run ok?? Do any other
matplotlib examples run?  If so, another suggestion would be to
try to replace MyApp(0)  with PySimpleApp(0).

Hope that helps,

--Matt

John Hunter wrote:

> wx gurus, is app = MyApp(0) expected to work on wx-2.5.3 ?

I'm not sure, but

app = wx.GetApp()

should.

> Can anyone test this examples/embedding_in_wx3.py under a similar
> configuration?

I've been meaning to do this for ages, so I guess now's a good time. 
I'll report back if/when I get to it!

-Chris


-- 
Christopher Barker, Ph.D.
Oceanographer
                                     		
NOAA/OR&R/HAZMAT         (206) 526-6959   voice
7600 Sand Point Way NE   (206) 526-6329   fax
Seattle, WA  98115       (206) 526-6317   main reception

Chr...@no...

>>>>> "Bryan" == Bryan Cole <bry...@te...> writes:
    >>>> ax.xaxis.get_minor_formatter()

    Bryan> returns a NullFormatter (you would think it would return a
    Bryan> LogFormatter).  This made me think that both major and
    Bryan> minor ticks were handled by the major formatter (which
    Bryan> distinguishes them based on it's internal isDecade() call).

Well, I use a NullFormatter because minor tick labels are turned off
by default.  Otherwise the labels could get quite busy.  Note that
there are 4 players here

  major and minor tick locators  and
  major and minor tick formatters

The minor tick locator is a LogLocator which recognizes the subs --
the minor tick formatter by default is a NullFormatter.  This places
tick lines and empty tick labels.

JDH

> 
>     ax.xaxis.set_major_locator(majorLocator)
>     ax.xaxis.set_major_formatter(majorFormatter)
> 
>     #for the minor ticks, use no labels; default NullFormatter
>     ax.xaxis.set_minor_locator(minorLocator)
> 
> From this you might guess ax.xaxis.set_minor_formatter.
> 

Yeay! Thanks for these pointers; it now works great.

Something that confused me is that for a log plot,

>>> ax.xaxis.get_minor_formatter()

returns a NullFormatter (you would think it would return a LogFormatter).
This made me think that both major and minor ticks were handled by the
major formatter (which distinguishes them based on it's internal
isDecade() call).

Anyway, thanks again for your help.

Bryan

>>>>> "daniele" =3D=3D daniele  <dga...@gm...> writes:

    daniele> Thank you very much for your advice.  Unfortunately when
    daniele> I try to run the script I get:

    daniele>   File
    daniele> "C:\Python24\Lib\site-packages\pythonwin\pywin\framework\scr=
iptutils.py",
    daniele> line 310, in RunScript exec codeObject in
    daniele> __main__.__dict__ File
    daniele> "C:\Python24\MathPlot_examples\examples\embedding_in_wx3.py"=
,
    daniele> line 156, in ?  app =3D MyApp(0) File
    daniele> "C:\Python24\Lib\site-packages\wx-2.5.3-msw-ansi\wx\_core.py=
",
    daniele> line 5301, in __init__ self._BootstrapApp() File
    daniele> "C:\Python24\Lib\site-packages\wx-2.5.3-msw-ansi\wx\_core.py=
",
    daniele> line 4980, in _BootstrapApp return
    daniele> _core_.PyApp__BootstrapApp(*args, **kwargs) File
    daniele> "C:\Python24\MathPlot_examples\examples\embedding_in_wx3.py"=
,
    daniele> line 111, in OnInit self.panel =3D
    daniele> XRCCTRL(self.frame,"MainPanel") File
    daniele> "C:\Python24\Lib\site-packages\wx-2.5.3-msw-ansi\wx\xrc.py",
    daniele> line 203, in XRCCTRL return
    daniele> window.FindWindowById(XRCID(str_id)) AttributeError:
    daniele> 'NoneType' object has no attribute 'FindWindowById'

    daniele> Which frankly I don=B4t understand. Any further advice?
    daniele> Thank you, DG

This looks either like a wx version problem or a bad wx install.=20

wx gurus, is app =3D MyApp(0) expected to work on wx-2.5.3 ?

Can anyone test this examples/embedding_in_wx3.py under a similar
configuration?

JDH

>>>>> "Robert" == Robert Leftwich <ro...@le...> writes:

    Robert> Is it possible to include a marker from one or more
    Robert> scatter plots in the legend?  Robert

This is a bit tricky -- scatter plots can vary in size and color.
What should one use for the legend marker?  So the short answer is no.
My question for you is, "how *should* it work?"

Not if you are using homogeneous marker sizes and colors, I suggest
using plot markers tweaking the properties, as in

  line, = plot(x,y,linestyle='None', marker='s', 
               markerfacecolor='red', markeredgecolor='g',
               markersize=20, markeredgewith=3)


or the pithy

  line, = plot(x, y, ls='None', marker='s', 
               mfc='red', mec='g', ms=20,, mew=3)

These you can add to the legend.

  legend((line,), ('label',))

In matplotlib-0.72, this will be as fast or faster than scatter for
the agg backend.  Probably faster.

If this is not an option -- eg you need variation in size but not
color, you can use a line as a stand-in in your legend.  Create the
line, don't add it to the axes, but pass it to the legend

    sizes = 20*rand(len(x))
    scatter(x,y,s=sizes, marker='o', c='red')

    # now create the proxy line but don't add it to axes for drawing
    line = Line2D(x,y,marker='o', color='red')

    legend((line,), ('label',))


This is untested, so let me know how it goes...

JDH

>>>>> "Bryan" == Bryan Cole <bry...@te...> writes:

    Bryan> Is it possible to have labels on minor ticks, on log plots?
    Bryan> I've tried

    >>>> gca().get_major_formatter().label_minor(True)

    Bryan> but it doesn't work.

Just some advice on how to help you get to where you want to go.  Have
you seen the matplotlib examples directory in the src distribution, at
http://matplotlib.sf.net/examples and zipped at
http://matplotlib.sourceforge.net/matplotlib_examples_0.72.zip ?

If you scroll through there, sometimes you see and example that will
help with the problem at hand.  In this case major_minor_demo1.py,
major_minor_demo2.py, custom_ticker1.py, and log_demo.py will probably
all offer some insight.  Though none explicitly address the problem at
hand, the would have shown you the right syntax to set minor
formatters.  Eg from major_minor_demo1.py

    ax.xaxis.set_major_locator(majorLocator)
    ax.xaxis.set_major_formatter(majorFormatter)

    #for the minor ticks, use no labels; default NullFormatter
    ax.xaxis.set_minor_locator(minorLocator) 

From this you might guess ax.xaxis.set_minor_formatter.

Also, if you fire up a python shell, and get the type of ax.xaxis, you
can get more information

  >>> ax = subplot(111)
  >>> dir(ax.xaxis)
  >>> help(ax.xaxis.set_minor_formatter)

The class docs are also helpful here, eg the Axis docs at 
http://matplotlib.sourceforge.net/matplotlib.axis.html .

This is not meant as criticism or RTFM -- the docs are admittedly a
bit sparse -- just giving you some guidance to help you the next time.

Now on to your the problem at hand.  Something like this...

    from pylab import *

    #formatter = LogFormatterMathtext(base=10, labelOnlyBase=False)
    minorFormatter = LogFormatter(base=10, labelOnlyBase=False)
    majorFormatter = LogFormatter(base=10, labelOnlyBase=True)
    ax = subplot(111)
    x = arange(1, 2000.0, 0.1)
    y = exp(-x/10)
    semilogx(x, y, subsx=(2,5))  # tick minors on 2s and 5s
    ax.xaxis.set_minor_formatter(minorFormatter)
    ax.xaxis.set_major_formatter(majorFormatter)
    show()

The LogFormatterMathtext does superscript tick formatting, eg 10^2.
This can look funny for minor ticks, because it does things like

10^{2.3}  for 20.

You can of course, design your own formatter.....

  http://matplotlib.sf.net/matplotlib.ticker.html

Hope this helps,
JDH

Is it possible to have labels on minor ticks, on log plots?

I've tried 

>>> gca().get_major_formatter().label_minor(True)

but it doesn't work.

Any ideas?

Bryan

Having just had a call from a client saying 'love the new graph, but why is the 
background sky blue' and thinking 'I've never done anything with sky blue in my 
life! - what have I broken', I then proceeded to learn more about Microsoft's 
lack of standards support than I really wanted or could spare the time to do.

The upshot is that transparent png's work perfectly in all tested browsers, as 
well as sundry image viewers/editors but not in IE, sigh!

I wondered why I hadn't struck this problem before so I looked at a few of my 
older, gnuplot generated, transparent png's, which worked perfectly in IE. A 
quick look with gimp shows that gnuplot uses a different technique for 
transparency than does Matplotlib. The transparent colour info for the gnuplot 
image is R:0, G:0, B:0, Alpha:0, Index:254 while for Matplotlib it is R:255, 
G:255, B:255, Alpha:0, with no Index.

Now I don't know enough (er, anything) about the low level detail of the png 
format, but I wonder if it is possible to achieve the same result in Matplotlib 
or do I need to post-process (using ImageMagick or similar) to generate the same 
style of png or possibly gif's?

Robert

>>>>> "Fl=E1vio" =3D=3D Fl=E1vio Code=E7o Coelho <fcc...@fi...> wr=
ites:

    Fl=E1vio> I just want to let you know that neither 'cla', 'clf' nor
    Fl=E1vio> 'figure' solved the issue but 'close' did it.  I must
    Fl=E1vio> point out that the only element that was being carried out
    Fl=E1vio> from figure to figure was the colorbar, not the plot
    Fl=E1vio> itself. Apparently 'close' is the only one of these
    Fl=E1vio> functions that gets rid of the colorbar.

Yep, cla would not be expected to do anything, since both the image
and colorbar are spearate axes.  So cla, clf and close are working as
advertised -- and that's a good thing :-)

JDH

On Monday 14 February 2005 12:24, John Hunter wrote:
> >>>>> "Flávio" == Flávio Codeço Coelho <fcc...@fi...> writes:
>
>     Flávio> I just want to let you know that neither 'cla', 'clf' nor
>     Flávio> 'figure' solved the issue but 'close' did it.  I must
>     Flávio> point out that the only element that was being carried out
>     Flávio> from figure to figure was the colorbar, not the plot
>     Flávio> itself. Apparently 'close' is the only one of these
>     Flávio> functions that gets rid of the colorbar.
>
> Hi Flávio,
>
> clf *should* work.  Could you send me a script which includes a clf
> that replicates the problem so I can fix it.  Thanks.
>

Hi John,

 clf does work, sorry. Its cla that does not (though I am not sure it should 
serve this purpose...)

i am sending the code attached
 

>>also, how am i going to assign to a variable anything that a user
>>inputs to a wxTxtCtrl?
>>
>>any help would greatly be appreciated. thanks and more power

You've bitten off quite a bit here all in one part. Start by looking at 
the wxPython Demo and Wiki for various code samples, and try to build a 
little app that just takes a value for input and does something with it. 
In fact, look at the "embedded in wx" matplotlib samples, there may be 
one that takes a value and generates a plot based on it.

As a hint, you'll need to use wxTextCtrl.GetValue() to get the input 
value, and convert it to a number with float().

As you start small, ask questions on the wxPython mailing list, we're 
very helpful there!

-Chris

-- 
Christopher Barker, Ph.D.
Oceanographer
                                     		
NOAA/OR&R/HAZMAT         (206) 526-6959   voice
7600 Sand Point Way NE   (206) 526-6329   fax
Seattle, WA  98115       (206) 526-6317   main reception

Chr...@no...

Is it possible to include a marker from one or more scatter plots in the legend?

Robert

On Fri, 28 Jan 2005 15:18:53 +0800, Jan Rienyer Gadil <jr...@gm...> wrote:
> i'm currently using python 2.3(enthought edition) on win 2000/xp.
> i'm using boa constructor on the GUI part and matplotlib 0.71 on
> plotting the graph.
> 
> i am using an MDIParentFrame. one of the child frame will be used for
> the table part. then another child frame will be used to show the
> graph, how am i going to do this? will i just import the child frame
> containing the tables and then i'll be able to just get the data from
> the table and use it to plot a graph?
> how am i going to assign to a variable each input to the table?
> can you please show me a sample code to do this?
> i'm a little lost since i'm a bit new to python.
> 
> also, how am i going to assign to a variable anything that a user
> inputs to a wxTxtCtrl?
> 
> any help would greatly be appreciated. thanks and more power
> 

anybody could help me on this?

John Hunter wrote:
> 
> figure(frameon=False)
> 
> must work for the figure frame. 

Sorry, finger/brain trouble at this end - it works perfectly.

Robert

>>>>> "Robert" == Robert Leftwich <ro...@le...> writes:

    Robert> I'd like to be able to generate a png with a transparent
    Robert> background so that I can overly multiple graphs on top of
    Robert> each other (in a web page). I've tried the frameOn-False
    Robert> discussed a couple of times in the mailing list it doesn't
    Robert> produce the desired result.  Is this possible?

figure(frameon=False)

must work for the figure frame.  Do you need the axes to be
transparent too.  Note that the figure and axes frames are both
matplotlib rectangles.  You can control the transparency of the
rectangle by calling

rect.set_alpha(0.5)

You can access the figure Rectangle instance as

  fig.figPatch

and the Axes Rectangle instance as 

  ax.axesPatch 


Passing one of these instances to "help" or "set" will give more info.

JDH