matplotlib-users Mailing List for matplotlib

It's unbeliable. Yes, it works now!!! At least.............. I had spend a
lot of time with these!
So maybe is it a bug? Matplotlib developers: here you have a bug.


Thank you very much for your help, I coud never have thougt  that it was the
problem.


2007/6/28, Matthias Michler <Mat...@gm...>:
>
> Hello darkside,
>
> I tried your example and it works for me (with mpl-svn) using GTKAgg and
> doesn't work (like you reported) using TKAgg (Is this a bug?).
> Maybe you can switch to GTKAgg?
> Otherwise you should report the mpl-version you are using.
> >-------------------------------------
> import matplotlib
> #matplotlib.use("TKAgg")
> matplotlib.use("GTKAgg")
> import pylab
> >---------------------------------------
>
> best regards,
> Matthias
>
> On Thursday 28 June 2007 19:39, darkside wrote:
> > Hello  everyone,
> > I'm trying to do a program that opens two different plots and select one
> > point of each one with a mouse event. Here you have my example:
> >
> >
> > --------------------------
> > import pylab
> >
> > def click(event):
> >     global x           # allow to change global variable
> >     if event.button == 1:
> >         if event.inaxes:
> >             x = event.xdata             # change global variable
> >             print " x - intern = ", x
> >             pylab.disconnect(cid)
> >             pylab.close()
> > return x
> >
> > xlist = []            # list for x values
> > global x
> > #for i in xrange(4):
> > fig = pylab.figure()
> > ax = fig.add_subplot(111)
> > pylab.title('primera')
> > cid = pylab.connect('button_press_event', click)
> > pylab.show()
> > print " x - extern = ", x
> > xlist.append(x)
> > pylab.close()
> >
> > fig = pylab.figure()
> >
> > ax = fig.add_subplot(111)
> > pylab.title('segunda')
> > cid = pylab.connect('button_press_event', click)
> > pylab.show()
> > print " x - extern = ", x
> > xlist.append(x)
> > pylab.close()
> > --------------------------------------------------
> > The problem is that the click event only works with the first plot, in
> the
> > second one I get the plot, but not the mouse event. So my output is:
> >  x - intern =  0.696277915633
> >  x - extern =  0.696277915633
> >  x - extern =  0.696277915633
> > As you see, I only get the x-intern once.
> >
> > Does anybody know what I'm doing wrong?
>
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On 6/29/07, Matt Newville <new...@ca...> wrote:

> I don't think you need to change the wx backend to make a MPL plot
> appear in a dockable pane.    You can definitely create a wx.Panel and
> put a MPL Figure in it such as (untested code):

But he wants to use pylab in a shell in his wx environment....

JDH

Thanks!

does this also allows the use of the pylab interface? I would like to
use pylab from the command line (in a pycrust shell that i can embed in
a dockable window) and let the figures pop-up in a dockable window too.
But still from the command line use the same commands as i would for
pylab from say ipython.

Regards
Rein


On Fri, 2007-06-29 at 10:17 -0500, Matt Newville wrote:
> Rein,
> 
> I don't think you need to change the wx backend to make a MPL plot
> appear in a dockable pane.    You can definitely create a wx.Panel and
> put a MPL Figure in it such as (untested code):
> 
> <untested code snippet>
> import wx
> import matplotlib
> from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
> from matplotlib.figure import Figure
> 
> class MyPlotPanel(wx.Panel):
>     def __init__(self, parent, **kw):
>         wx.Panel.__init__(self, parent, -1, **kw)
>         self.fig = Figure(self,(6.0,4.0), dpi=96)
>         self.axes = self.fig.add_axes([0.15,0.15,0.75,0.75])
>         self.canvas = FigureCanvasWxAgg(self,-1, self.fig)
> 
> </untested code snippet>
> 
> and then use self.axes.plot() (or other methods) and canvas.draw().
> Of course, you'll have to put that Panel someplace.   I haven't tried
> to make a plot in a dockable window myself, but I'd be surprised if
> you couldn't do it.
> 
> Take a look at wxmpl   http://agni.phys.iit.edu/~kmcivor/wxmpl/
> and/or my own PlotPanel code from MPlot:
> http://cars9.uchicago.edu/~newville/Python/MPlot/
> and/or read http://www.scipy.org/Cookbook/Matplotlib/EmbeddingInWx
> for more hints and examples.
> 
> Cheers,
> 
> --Matt Newville

Rein,

I don't think you need to change the wx backend to make a MPL plot
appear in a dockable pane.    You can definitely create a wx.Panel and
put a MPL Figure in it such as (untested code):

<untested code snippet>
import wx
import matplotlib
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
from matplotlib.figure import Figure

class MyPlotPanel(wx.Panel):
    def __init__(self, parent, **kw):
        wx.Panel.__init__(self, parent, -1, **kw)
        self.fig = Figure(self,(6.0,4.0), dpi=96)
        self.axes = self.fig.add_axes([0.15,0.15,0.75,0.75])
        self.canvas = FigureCanvasWxAgg(self,-1, self.fig)

</untested code snippet>

and then use self.axes.plot() (or other methods) and canvas.draw().
Of course, you'll have to put that Panel someplace.   I haven't tried
to make a plot in a dockable window myself, but I'd be surprised if
you couldn't do it.

Take a look at wxmpl   http://agni.phys.iit.edu/~kmcivor/wxmpl/
and/or my own PlotPanel code from MPlot:
http://cars9.uchicago.edu/~newville/Python/MPlot/
and/or read http://www.scipy.org/Cookbook/Matplotlib/EmbeddingInWx
for more hints and examples.

Cheers,

--Matt Newville

On 6/29/07, Rein van den Boomgaard <re...@sc...> wrote:

> OK that is the file that i looked into already. Is the backend
> functionality i need really concentrated in only these files?
> (amazing..)

pretty much - - there is a pretty tight segregation between the figure
and the gui.

> BTW is there a design document to get some grasp on the architecture of
> matplotlib / pylab? It seems that most documentation concentrates on
> describing pylab. Probably most people are using pylab (as i do most of
> the time...).

backend_template.py and backend_bases.py are good starting points.
There is a chapter in the user's guide and some resources at
http://matplotlib.sourceforge.net/faq.html#OO

JDH


>
> Regards
> Rein
>
>
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>

Hello list,

I am plotting some time series data, and the ranges vary dramatically. I
cannot find a way to configure the major and minor ticking (hours and days
respectively) to scale automatically: if the range is too large, put a tick
every 8 hours instead of one, or even place a minor day tick every week and
dont do any hour ticking.

    ax.plot_date(date2num(times),points,'-',color="blue")

    days = DayLocator()
    daysFmt = DateFormatter('%d/%m')
    ax.xaxis.set_minor_locator(days)
    ax.xaxis.set_minor_formatter(daysFmt)
    hours = HourLocator()
    hours.autoscale()
    hoursFmt = DateFormatter('%H')
    ax.xaxis.set_major_locator(hours)
    ax.xaxis.set_major_formatter(hoursFmt)

    for tick in ax.xaxis.get_minor_ticks():
        tick.set_pad(13)

The pad trick is a cool answer I got in a previous post.

> On 6/29/07, Rein van den Boomgaard <re...@sc...> wrote:
> > thanks for answering. I have seen the examples using the oo mpl api,
> but
> > i would like to use the pylab interface from the shell i'm using
> (also
> > in the wx GUI). I'm aiming at a very simplified matlab like
> interface
> > where the plots apear in the dockable windows.
> 
> You will probably need to write your own modified backend based on
> backend_wx and backend_wxagg, that replaces the new_figure_manager and
> FigureManager code with some custom functionality to use your panes.
> 
> 
OK that is the file that i looked into already. Is the backend
functionality i need really concentrated in only these files?
(amazing..)

I'll give it a try.

BTW is there a design document to get some grasp on the architecture of
matplotlib / pylab? It seems that most documentation concentrates on
describing pylab. Probably most people are using pylab (as i do most of
the time...).

Regards
Rein

Hi,
I can figure the first steps :
something like :

            matrix = []
            buffer = self.get_renderer().tostring_argb()
            l, h = self.GetSize()
            for ligne in xrange(h):
                matrix.append([])
                for colonne in xrange(l):
                    i = 4*(ligne*h + colonne)
                    pixel = buffer[i:i+4]
                    matrix[-1].append(pixel)
            zone_to_export = array(matrix)[pixely0:pixely1, pixelx0:pixelx1]
            new_buffer = buffer("".join("".join(elt for elt in ligne) for
ligne in zone_to_export ))

But then I don't know what to with this new buffer.
I tried to create a new RenderAgg instance, so as to use its png export
facilities.
r = RendererAgg(pixelx1 - pixelx0, pixely1 - pixely0, Value(dpi))
...
r._renderer.write_png(nom)

But I don't know what to put between the two previous lines.
How may I load a buffer content into a RenderAgg instance ?
I suppose I may use something like :
r.draw_image(0, 0, im)
but what is the correct format for im ? Is there an Image class in
matplotlib (I looked for, but didn't find).
How may I convert my buffer ?

Thanks a lot,

Nicolas



How may I transform my buffer into an image ?
On 6/28/07, John Hunter <jd...@gm...> wrote:
>
> On 6/28/07, Nicolas <nic...@ya...> wrote:
> > Thanks for your reply.
> >
> > However, I don't want to had a PIL dependency.
> >
> > Is there any other method, using only matplotlib or wx ?
>
> agg offers methods to convert the image pixel buffer to strings or
> buffers, which you could then convert to numpy arrays, so a slice
> extraction, and reconvert back to a buffer and ultimately a PNG. I
> don't have time right now to write some example code, but you may want
> to poke around in backend_agg to see if you can figure it out, and if
> not remind me next week.
>
> Thanks,
> JDH
>

correcting the previous post:

the plot() works from the Shell, so the 'only' problem now is to force
the plot in a pane and not in a frame...

Rein

Dear All,


Let me explain what i have in mind:

- wx widgets AUI interface with dockable panes
	+ editor pane (OK)
	+ (pycrust) shell pane (mostly OK)
	+ figure panes

The last one is the important one now. I would like the figure command
in matplotlib/pylab to use a pane in my GUI instead of a frame. 

I've seen the embed-in-wx-example but it seems you then lose the
convenient pylab interface for plotting.

>From the Shell from pycrust i can import pylab and do anything except
showing the plot. The figure window shows up with a show() (after a
plot()) but then it draws nothing.

Can anyone tell me what is going wrong and how i could  solve the
problem.

Regards
Rein

Hi Alexander,

On 6/28/07, Alexander Dietz <Ale...@as...> wrote:
> Hi,
>
> I have problems installing matplotlib 0.90.1. An error occurs when doing
> "python setup.py build":
>
> /usr/include/features.h:150:1: warning: this is the location of the previous
> definition
> src/_ns_backend_agg.cpp: In member function `Py::Object
> RendererAgg::write_png(const Py::Tuple&)':
> src/_ns_backend_agg.cpp:2040: error: `png_structp' undeclared (first use
> this function)
> src/_ns_backend_agg.cpp:2040: error: (Each undeclared identifier is reported
> only once for each function it appears in.)
>  src/_ns_backend_agg.cpp:2040: error: expected `;' before "png_ptr"
> src/_ns_backend_agg.cpp:2041: error: `png_infop' undeclared (first use this
> function)
> src/_ns_backend_agg.cpp:2041: error: expected `;' before "info_ptr"
> src/_ns_backend_agg.cpp:2042: error: aggregate `png_color_8_struct sig_bit'
> has incomplete type and cannot be defined
> src/_ns_backend_agg.cpp:2043: error: `png_uint_32' undeclared (first use
> this function)
>  src/_ns_backend_agg.cpp:2043: error: expected `;' before "row"
> src/_ns_backend_agg.cpp:2045: error: `png_bytep' undeclared (first use this
> function)
> src/_ns_backend_agg.cpp:2045: error: `row_pointers' undeclared (first use
> this function)
> src/_ns_backend_agg.cpp:2045: error: `png_bytep' has not been declared
> src/_ns_backend_agg.cpp:2046: error: `row' undeclared (first use this
> function)
> src/_ns_backend_agg.cpp:2057: error: `png_ptr' undeclared (first use this
> function)
> src/_ns_backend_agg.cpp:2057: error: `PNG_LIBPNG_VER_STRING' undeclared
> (first use this function)
> src/_ns_backend_agg.cpp:2057: error: `png_create_write_struct' undeclared
> (first use this function)
> src/_ns_backend_agg.cpp:2064: error: `info_ptr' undeclared (first use this
> function)
> src/_ns_backend_agg.cpp:2064: error: `png_create_info_struct' undeclared
> (first use this function)
> src/_ns_backend_agg.cpp:2067: error: `png_destroy_write_struct' undeclared
> (first use this function)
> src/_ns_backend_agg.cpp:2079: error: `png_init_io' undeclared (first use
> this function)
> src/_ns_backend_agg.cpp:2082: error: `PNG_COLOR_TYPE_RGB_ALPHA' undeclared
> (first use this function)
> src/_ns_backend_agg.cpp:2082: error: `PNG_INTERLACE_NONE' undeclared (first
> use this function)
> src/_ns_backend_agg.cpp:2083: error: `PNG_COMPRESSION_TYPE_BASE' undeclared
> (first use this function)
> src/_ns_backend_agg.cpp:2083: error: `PNG_FILTER_TYPE_BASE' undeclared
> (first use this function)
> src/_ns_backend_agg.cpp:2083: error: `png_set_IHDR' undeclared (first use
> this function)
> src/_ns_backend_agg.cpp:2092: error: `png_set_sBIT' undeclared (first use
> this function)
> src/_ns_backend_agg.cpp:2094: error: `png_write_info' undeclared (first use
> this function)
> src/_ns_backend_agg.cpp:2095: error: `png_write_image' undeclared (first use
> this function)
> src/_ns_backend_agg.cpp:2096: error: `png_write_end' undeclared (first use
> this function)
> error: command 'gcc' failed with exit status 1

You probably need to install the header files for libpng.  On my
Ubuntu system the package name is libpng12-dev

> Any ideas what I can do?
> Also, how to install matplotlib in an other directory? I tried:
> > python setup.py  --prefix=/home/Install install
>  and
> >python setup.py  install --prefix=/home/Install
>
> but both commands did not work, although it is written I shall use the
> '--prefix' argument to specify a different directory !?!
>
> Any ideas?

Is /home/Install on your Python search path (
http://docs.python.org/inst/search-path.html )?

HTH,
Edin