matplotlib-users Mailing List for matplotlib

>>>>> "Jim" == Jim Benson <jb...@se...> writes:
 Jim> Hi,
 Jim> I seem to be seeing some extra debug output. I have been
 Jim> using the wx background and the embedding_in_wx.py example as
 Jim> a template for how to make matplotlib plots in an app i'm
 Jim> writing. This part works great!! I am however seeing what
 Jim> appears to be a debug flag left on somewhere?
No, this is in the wx code. I traced it to the line
 wxInitAllImageHandlers()
Miraculously, I commented this out, got rid of the annoying messages,
and fixed the wx exception swallowing bug! Jeremy and I have been
killing ourselves for about 6 months trying to figure out why backend
wx was swallowing our exceptions, and I can't really convey how happy
I am to have found this. We have tried all manner of hacks, google
searches and plantive pleas to get our exceptions back to no avail.
It made debugging wx virtually impossible.
Please test this change on your system. win32 users, I would also be
much obliged if you could try commenting this out on your system to
see if you lose functionality. On my linux box, the figures came up
as expected, I was able to print to jpg and png, so all looks well.
Note, wxagg is in CVS if you need some of the agg features that native
wx drawing does not provide. But it looks like all systems are go for
a release next week so you may as well wait.
JDH

>>>>> "Srinath" == Srinath Avadhanula <sr...@fa...> writes:
 Srinath> Hello all! I just recently downloaded Matplotlib and
 Srinath> love it so far :)
Thanks!
 Srinath> A hopefully quick question. In all the demo examples, the
 Srinath> navigation bar has buttons for incremental +/- zoom in
 Srinath> the X/Y directions, but no way to directly choose a
 Srinath> rectange within the figure window to zoom to like in
 Srinath> matlab. It gets very tedious the way it is if a lot of
 Srinath> zooming and panning is involved.
 Srinath> I found that I could draw a rectange in the axes and
 Srinath> update its coordinates on an motion_notify_event. The
 Srinath> problem is I do not know how to link the
 Srinath> event.get_pointer() coordinates to the coordinates within
 Srinath> the axes. Therefore I cannot set the coordinates of the
 Srinath> rectangle correctly. The following code which is slightly
 Srinath> modified from embed_gtk2.py demonstrates what I am trying
 Srinath> to do...
Yes, this would be a very nive feature. When you implement it, please
send it back to the list. Here is an example that shows you how to
connect to the events and more importantly for you, convert to user
coords
"""
An example of how to interact with the plotting canvas by connecting
to move and click events
"""
from matplotlib.matlab import *
t = arange(0.0, 1.0, 0.01)
s = sin(2*pi*t)
ax = subplot(111)
ax.plot(t,s)
canvas = get_current_fig_manager().canvas
def on_move(widget, event):
 # get the x and y coords, flip y from top to bottom
 height = canvas.figure.bbox.y.interval()
 x, y = event.x, height-event.y
 if ax.in_axes(x, y):
 # transData transforms data coords to display coords. Use the
 # inverse method to transform back
 t = ax.xaxis.transData.inverse_positions(x)
 val = ax.yaxis.transData.inverse_positions(y)
 print t, val
def on_click(widget, event):
 # get the x and y coords, flip y from top to bottom
 height = canvas.figure.bbox.y.interval()
 x, y = event.x, height-event.y
 if event.button==1:
 if ax.in_axes(x, y):
 # transData transforms data coords to display coords. Use the
 # inverse method to transform back
 t = ax.xaxis.transData.inverse_positions(x)
 val = ax.yaxis.transData.inverse_positions(y)
 
 print t, val
#canvas.connect('motion_notify_event', on_move)
canvas.connect('button_press_event', on_click)
show()

Hello all!
I just recently downloaded Matplotlib and love it so far :)
A hopefully quick question. In all the demo examples, the navigation bar
has buttons for incremental +/- zoom in the X/Y directions, but no way
to directly choose a rectange within the figure window to zoom to like
in matlab. It gets very tedious the way it is if a lot of zooming and
panning is involved.
I found that I could draw a rectange in the axes and update its
coordinates on an motion_notify_event. The problem is I do not know how
to link the event.get_pointer() coordinates to the coordinates within
the axes. Therefore I cannot set the coordinates of the rectangle
correctly. The following code which is slightly modified from
embed_gtk2.py demonstrates what I am trying to do...
Thanks,
-- 
Srinath
from matplotlib.numerix import arange, sin, cos, pi
import matplotlib
matplotlib.use('GTK')
from matplotlib.backends.backend_gtk import FigureCanvasGTK
from matplotlib.axes import Subplot
from matplotlib.figure import Figure
import gtk
class MyApp:
 def __init__(self):
 self.win = gtk.Window()
 self.win.set_name("Embedding in GTK")
 self.win.connect("destroy", gtk.mainquit)
 self.win.set_border_width(5)
 self.vbox = gtk.VBox(spacing=3)
 self.win.add(self.vbox)
 self.vbox.show()
 self.fig = Figure(figsize=(5,4), dpi=100)
 self.ax = Subplot(self.fig, 111)
 self.recth = 0.2
 self.ylast = 0
 x = [0,0.5,0.5,0,0]
 y = [0,0,self.recth,self.recth,0]
 t = [0,1]
 r = [0,1]
 self.h = self.ax.plot(x,y,t,r)
 self.fig.add_axis(self.ax)
 self.canvas = FigureCanvasGTK(self.fig) # a gtk.DrawingArea
 self.canvas.show()
 self.canvas.connect('motion_notify_event', self.findClick)
 self.vbox.pack_start(self.canvas)
 self.win.show()
 def findClick(self, widget, event):
 ynow = event.get_coords()[1]
 if ynow < self.ylast:
 self.recth += 0.01
 elif ynow > self.ylast:
 self.recth -= 0.01
 self.h[0].set_ydata([0,0,self.recth,self.recth,0])
 self.ylast = ynow
 self.canvas.draw()
if __name__=='__main__':
 app = MyApp()
 gtk.mainloop()

Hi,
 I seem to be seeing some extra debug output. I have been using
the wx background and the embedding_in_wx.py example as a template
for how to make matplotlib plots in an app i'm writing.
This part works great!! I am however seeing what appears to be
a debug flag left on somewhere?
Here is my test script:
 
(test.py)
import matplotlib
matplotlib.use('WX')
from matplotlib.backends.backend_wx import Toolbar, FigureCanvasWx,\
 FigureManager
#from matplotlib.figure import Figure
#from matplotlib.axes import Subplot
#import matplotlib.numerix as numpy
#from wxPython.wx import *
if __name__ == '__main__':
 print 'Hi There'
This works:
>>> import test
>>>
This gives me:
clavius:/home/jbenson/python>python test.py
[Debug] 10:07:56 AM: Adding duplicate image handler for 'PNG file'
[Debug] 10:07:56 AM: Adding duplicate image handler for 'JPEG file'
[Debug] 10:07:56 AM: Adding duplicate image handler for 'TIFF file'
[Debug] 10:07:56 AM: Adding duplicate image handler for 'GIF file'
[Debug] 10:07:56 AM: Adding duplicate image handler for 'PNM file'
[Debug] 10:07:56 AM: Adding duplicate image handler for 'PCX file'
[Debug] 10:07:56 AM: Adding duplicate image handler for 'XPM file'
[Debug] 10:07:56 AM: Adding duplicate image handler for 'Windows icon 
file'
[Debug] 10:07:56 AM: Adding duplicate image handler for 'Windows cursor 
file'
[Debug] 10:07:56 AM: Adding duplicate image handler for 'Windows animated 
cursor file'
Hi There
clavius:/home/jbenson/python>
I'm using matplotlib-0.52
Is this comming from matplotlib? Is there a flag i should turn off?
Thanks,
Jim

>>>>> "Flavio" == Flavio Codeco Coelho <fcc...@fi...> writes:
 Flavio> Jeremy, how can I set axes limits on a figure embedded in
 Flavio> WX? I am plotting with
 Flavio> a = self.figmgr.add_subplot(111) a.plot(x,y)
 Flavio> just like in your example.
 Flavio> I would like to do someting like:
 Flavio> axis([0,10,0,10])
There is no axis command in the OO interface (though is would be easy
to add..). You can always go to matlab.py and see how it is
interacting with the gca instance. If you use your 'a' instance
everywhere it uses gca(), you can duplicate it's functionality.
 Flavio> set(gca(),'xticklabels',[]) set(gca(),'yticklabels',[])
 Flavio> set(gca(),'xticks',[]) set(gca(),'yticks',[])
the syntax of set is
 set(object or sequence, somestring, attribute)
if called with an object, set calls
 object.set_somestring(attribute)
if called with a sequence, set does
 for object in sequence:
 object.set_somestring(attribute)
So for your example, gca() is an object, so 
 a.set_xticklabels([])
 a.set_yticklabels([])
 a.set_xticks([])
 a.set_yticks([])
You may want to take another look at the tutorial section "Controlling
axes properties" which gives examples of both the matlab and OO
methods
To replicate axis, do
 a.set_xlim((xmin, xmax))
 a.set_ylim((ymin, ymax))
Should help!
JDH

waouw thanks, that's an amazing support!
----- Original Message ----- 
From: "John Hunter" <jdh...@ac...>
To: "Philippe Strauss" <phi...@pr...>
Cc: <Mat...@li...>
Sent: Friday, April 16, 2004 3:49 AM
Subject: Re: [Matplotlib-users] setting grid density
> >>>>> "Philippe" == Philippe Strauss <phi...@pr...> writes:
>
> Philippe> This one is 1h per minor grid and tick, 6h per majors.
>
> Hi Phillipe,
>
> I just wanted to let you know that I've finished adding the major and
> minor tick support for the next release of matplotlib. There is
> additional support for plotting dates and formatting dates with major
> and minor ticks. There are specialized tick locators for marking
> ticks by minute, hour, day, weekday, month, year, every 4 hours, every
> 3 months, and so on. There is a new command plot_date function and a
> series of date converters to let you plot dates with, for example,
> epochs, python datetimes or mx.Datetimes. You can work with custom
> date instances by supplying a custom converter. You can format the
> date ticks with strftime strings of your choice.
>
> The major and minor tick support is generic and fully customizable and
> should be useful for many other applications.
>
> Look for the release next week.
>
> JDH

>>>>> "Philippe" == Philippe Strauss <phi...@pr...> writes:
 Philippe> This one is 1h per minor grid and tick, 6h per majors.
Hi Phillipe,
I just wanted to let you know that I've finished adding the major and
minor tick support for the next release of matplotlib. There is
additional support for plotting dates and formatting dates with major
and minor ticks. There are specialized tick locators for marking
ticks by minute, hour, day, weekday, month, year, every 4 hours, every
3 months, and so on. There is a new command plot_date function and a
series of date converters to let you plot dates with, for example,
epochs, python datetimes or mx.Datetimes. You can work with custom
date instances by supplying a custom converter. You can format the
date ticks with strftime strings of your choice.
The major and minor tick support is generic and fully customizable and
should be useful for many other applications.
Look for the release next week.
JDH