matplotlib-users Mailing List for matplotlib

This bug or feature? is still in matplotlib 0.99.1.1 (Ubuntu 10.04 LTS)
More precisely scatter using symbols with zero area ('x', '+') will not
pick, regardless of the float value in picker.
Although this DOES work with plot, you can't vary the marker size between
points like you can with scatter.
I have also confirmed this in a version of the example in the docs
http://matplotlib.sourceforge.net/users/event_handling.html#picking-exercise
Which I could upload, but the code below is just fine.
If this is a feature, I suggest it be stated in the documentation.
Kyle Whitmer wrote:
> 
> I'm having trouble using picker on a scatter plots with various markers
> (e.g. + and x). It works with the plot command fine. What am I missing?
> Sample code below.
> 
> import numpy
> import pylab
> 
> def onpick(event):
> print 'Pick:',event.ind
> 
> fig = pylab.figure()
> ax = fig.add_subplot(111)
> 
> x1,y1 = numpy.random.random((2,100))
> series1=ax.plot(x1,y1,marker='x',color='b',linestyle='',label='plot',picker=5)
> x2,y2 = numpy.random.random((2,100))
> series2=ax.scatter(x2,y2,marker='x',color='g',label='scatter-X',picker=5)
> x3,y3 = numpy.random.random((2,100))
> series3=ax.scatter(x3,y3,marker='o',color='r',label='scatter-O',picker=5)
> 
> fig.canvas.mpl_connect('pick_event',onpick)
> pylab.legend()
> pylab.show()
> 
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's
> challenge
> Build the coolest Linux based applications with Moblin SDK & win great
> prizes
> Grand prize is a trip for two to an Open Source event anywhere in the
> world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 
-- 
View this message in context: http://old.nabble.com/Can%27t-pick-on-various-scatter-markers-tp19140977p31305085.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Straightfoward solution is to deselect zoom or pan by clicking those buttons
again. The cursor returns to the "Arrow" shape.
Any better solution?
marc desmarais-2 wrote:
> 
> I created a simple scatter plot and a service routine to print out the
> coordinates of the points I pick with the cursor (based on the demo). It
> works until I select the pan or zoom cursor. After I zoom or pan, I can
> no longer get back to the normal cursor which allows me to "pick" a
> circle. Even clicking "home" doesn't help.
> 
> The code is shown below
> 
> --------------------------------------------------------------------------------
> from matplotlib import figure,pyplot
> from numpy import linspace,sin,take
> 
> fig=pyplot.figure()
> 
> ax1=fig.add_subplot(1,1,1) # (numRows, numCols, plotNum)
> 
> t=linspace(0,10,100)
> y1=sin(5*t)
> y2=y1+sin(10*t)
> 
> line1=ax1.scatter(y1,y2,picker=True)
> 
> def onpick1(event):
>   ind = event.ind
>   print 'onpick1 scatter:', ind, take(y1, ind), take(y2, ind)
>   
> fig.canvas.mpl_connect('pick_event', onpick1)
> pyplot.show()  
> --------------------------------------------------------------------------------
> 
> this is based on the demo at
> 
> http://matplotlib.sourceforge.net/examples/event_handling/pick_event_demo.html?highlight=scatter
> 
> Marc Desmarais
> 
> 537 Park Av.
> 
> Long Beach, CA, 90814
> 
> 
> 
> (562) 712 8682 cell
> 
> 
> 
> ------------------------------------------------------------------------------
> Let Crystal Reports handle the reporting - Free Crystal Reports 2008
> 30-Day 
> trial. Simplify your report design, integration and deployment - and focus
> on 
> what you do best, core application coding. Discover what's new with 
> Crystal Reports now. http://p.sf.net/sfu/bobj-july
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 
-- 
View this message in context: http://old.nabble.com/can%27t-picker-once-pan-or-zoom-chosen-tp25097973p31305018.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

I would like to put a gtk.Button on top of a FigureCanvas. But whatever
I try the FigureCanvas stays always on top hiding the button.
Below is an example where I can change the order of buttons
by switching the following two lines
 lay.put(but1,360,260)
 lay.put(but2,360,275)
but this doesn't work for FigureCanvas
 lay.put(canvas,0,0)
Any help appreciated.
Ciao
Andreas
import gtk
import numpy as np
import pylab as mpl
from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas
win = gtk.Window()
win.set_default_size(450,350)
fig = mpl.figure()
subfig = fig.add_subplot(1,1,1)
ax = subfig.plot([2,3,1])
canvas = FigureCanvas(fig)
canvas.set_size_request(400,300)
but1 = gtk.Button('111111111')
but2 = gtk.Button('222222222')
lay = gtk.Layout()
lay.put(canvas,0,0)
lay.put(but1,360,260)
lay.put(but2,360,275)
win.add(lay)
win.show_all()
win.connect('destroy', gtk.main_quit)
gtk.main()

Hi,
I would like to set the zorder on a collection e.g. PatchCollection. By looking at the matplotlib source code in collections.py, I figured that it would be possible to set the zorder attribute of a collection manually, e.g.
p = PatchCollection(...)
p.zorder = ...
but I was wondering whether it would make sense to allow zorder to be passed as a keyword argument when initializing a collection, or when running ax.add_collection, or is there a reason that this was not done?
Cheers,
Tom

Ok, it works ok with pcolormesh, sorry for bothering you.
--
Oleeksandr
2011年4月1日 sanGuziy <guz...@gm...>
>
> Dear list,
>
> I have a question concerning pcolor.
> I am trying to plot a huge 2d array 15000x10000.
> And in top I see that the program already uses 31Gb of ram and it grows.
> Is this expected behaviour?
> Why it needs so much memory?
> the sctipt is simple:
>
> import matplotlib
> import numpy as np
> import matplotlib.pyplot as plt
>
> from numpy.random import rand
>
> import mpl_toolkits.basemap as bm
>
>
> if __name__ == "__main__":
>
> print matplotlib.__version__
> print matplotlib.__revision__
> print matplotlib.__date__
>
>
> print 'basemap'
> print bm.__version__
>
> print 'numpy'
> print np.__version__
>
>
> x = rand(15000,10000)
> #print x
> plt.pcolor(x)
> plt.savefig('test_pcolor.png', bbox_inches = 'tight')
> print "Hello World"
>
> matplotlib version is:
> 1.0.0
> $Revision: 8503 $
> $Date: 2010年07月06日 08:56:31 -0500 (2010年7月06日) $
>
> should I update?
>
> thank you for any help
> --
> Oleksandr Huziy
> --
> View this message in context:
> http://old.nabble.com/pcolor-tp31300362p31300362.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
>
> ------------------------------------------------------------------------------
> Create and publish websites with WebMatrix
> Use the most popular FREE web apps or write code yourself;
> WebMatrix provides all the features you need to develop and
> publish your website. http://p.sf.net/sfu/ms-webmatrix-sf
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Dear list,
I have a question concerning pcolor.
I am trying to plot a huge 2d array 15000x10000.
And in top I see that the program already uses 31Gb of ram and it grows.
Is this expected behaviour?
Why it needs so much memory?
the sctipt is simple:
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
from numpy.random import rand
import mpl_toolkits.basemap as bm 
if __name__ == "__main__":
 print matplotlib.__version__
 print matplotlib.__revision__
 print matplotlib.__date__
 
 
 print 'basemap'
 print bm.__version__
 
 print 'numpy'
 print np.__version__
 
 x = rand(15000,10000)
 #print x
 plt.pcolor(x)
 plt.savefig('test_pcolor.png', bbox_inches = 'tight')
 print "Hello World"
matplotlib version is:
1.0.0
$Revision: 8503 $
$Date: 2010年07月06日 08:56:31 -0500 (2010年7月06日) $
should I update?
thank you for any help
--
Oleksandr Huziy
-- 
View this message in context: http://old.nabble.com/pcolor-tp31300362p31300362.html
Sent from the matplotlib - users mailing list archive at Nabble.com.