[Matplotlib-users] does mpl.canvas has a flag needsdrawing?

2009-09-18 Thread Werner F. Bruhin
I have multiple canvas and sometimes one or more might have nothing to 
draw (no data).

Currently I just call.

canvas.draw()
canvas.Refresh()

for each of the canvas, but this gives me an error if there is no data.

Is there a built-in flag I can check before calling draw?  Or do I have 
to keep create my own?

Werner

PS
If it is of any help, I get this (also I have mpl.verbose.level = u'silent':

C:\Python25\lib\site-packages\matplotlib\axes.py:3996: UserWarning: No 
labeled objects found. Use label='...' kwarg on individual plots.
  warnings.warn(No labeled objects found. 

And here is the traceback.
Traceback (most recent call last):
  File C:\Dev\twcbBranchv31\Program\panelstats.py, line 178, in DoRefresh
self.RefreshAllGraphs()
  File C:\Dev\twcbBranchv31\Program\panelstats.py, line 313, in 
RefreshAllGraphs
self.priceChangeP.canvas.draw()
  File 
C:\Python25\Lib\site-packages\matplotlib\backends\backend_wxagg.py, 
line 59, in draw
FigureCanvasAgg.draw(self)
  File 
C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 
314, in draw
self.figure.draw(self.renderer)
  File C:\Python25\Lib\site-packages\matplotlib\artist.py, line 46, in 
draw_wrapper
draw(artist, renderer, *kl)
  File C:\Python25\Lib\site-packages\matplotlib\figure.py, line 774, 
in draw
for a in self.axes: a.draw(renderer)
  File C:\Python25\Lib\site-packages\matplotlib\artist.py, line 46, in 
draw_wrapper
draw(artist, renderer, *kl)
  File C:\Python25\Lib\site-packages\matplotlib\axes.py, line 1721, in 
draw
a.draw(renderer)
  File C:\Python25\Lib\site-packages\matplotlib\artist.py, line 46, in 
draw_wrapper
draw(artist, renderer, *kl)
  File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 736, in draw
for tick, loc, label in self.iter_ticks():
  File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 677, in 
iter_ticks
majorLocs = self.major.locator()
  File C:\Python25\Lib\site-packages\matplotlib\dates.py, line 754, in 
__call__
dmin, dmax = self.viewlim_to_dt()
  File C:\Python25\Lib\site-packages\matplotlib\dates.py, line 454, in 
viewlim_to_dt
return num2date(vmin, self.tz), num2date(vmax, self.tz)
  File C:\Python25\Lib\site-packages\matplotlib\dates.py, line 249, in 
num2date
if not cbook.iterable(x): return _from_ordinalf(x, tz)
  File C:\Python25\Lib\site-packages\matplotlib\dates.py, line 170, in 
_from_ordinalf
dt = datetime.datetime.fromordinal(ix)
ValueError: ordinal must be = 1



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Re: [Matplotlib-users] axes3d material in matplotlib-0.99.0.win32-py2.5 missing?

2009-09-18 Thread John Hunter
On Thu, Sep 17, 2009 at 8:34 PM, Reckoner recko...@gmail.com wrote:
 thanks. does this mean that

 http://www.scipy.org/Cookbook/Matplotlib/mplot3D

 is out of date?

Yes, it needs to be updated -- best would just be to remove the
contents there and point to the mplot3d on the mpl website.  Can you
do this for us?

JDH

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Re: [Matplotlib-users] does mpl.canvas has a flag needsdrawing?

2009-09-18 Thread John Hunter
On Fri, Sep 18, 2009 at 4:39 AM, Werner F. Bruhin werner.bru...@free.fr wrote:
 I have multiple canvas and sometimes one or more might have nothing to
 draw (no data).

 Currently I just call.

 canvas.draw()
 canvas.Refresh()

 for each of the canvas, but this gives me an error if there is no data.

 Is there a built-in flag I can check before calling draw?  Or do I have
 to keep create my own?

There is no such flag, but you should not get an error on drawing an
empty figure or one that doesn't need to be drawn.  Can you post
example code that produces the error?

JDH

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Re: [Matplotlib-users] violin plots

2009-09-18 Thread John Hunter
On Thu, Sep 17, 2009 at 11:28 PM, Andrew Straw straw...@astraw.com wrote:
 Flávio Coelho has implemented Violin plots for MPL. Nice! He has a
 question regarding its suitability for inclusion due to a dependency on
 scipy for the gaussian_kde function.
 http://pyinsci.blogspot.com/2009/09/violin-plot-with-matplotlib.html

 Is there a place this could live in the MPL code base without requiring
 scipy? Perhaps we should just include it as a demo. I note that
 examples/pylab_examples/demo_agg_filter.py requires scipy, too.

 Thanks Flávio for sharing -- I have occasionally wondered how my data
 would look in a violin plot.

These do look nice, and the implementation is fairly light.

I don't have strong feelings about what the best way to include this is:

  * as an example

  * as a proper mpl pyplot/axes function that imports scipy internally
and raises if it can't find it

  * that requires a kde  to be passed in

Of these, the top two are probably preferable since in practice
everyone would just pass in the kde from scipy so why not just save
them the step and try to import it ourselves.  While I don't want the
core of mpl to require scipy, I can certainly abide by some functions
requiring it as long as they raise helpful errors.  So I'm leaning
towards the 2nd option (we already do something like this -- we
conditionally import Image in imread for example)

If we go that way, we will have the worry about version dependencies
and what we want to require on the buildbots.

As for a patch, the implementation looks good though we need a better
docstring and one that is Sphinx compliant.  One thing you will want
to consider is how to support the boxplot and fill between keywords.
Eg, people will want to customize the fills, so you may want something
like

violin_plot(blah, fillprops=None, boxprops=None):
if fillprops is None:
fillprops = dict(facecolor='yellow', alpha=0.3)

if boxprops is None:
boxprops = dict(notch=1, vert=1)

ax.fill_betweenx(blahblah, **fillprops)

etc...  that way people can sti

In you docstring, you should also point to the fill_betweenx and
boxprops docs using the Sphinx API conventions.

Finally, we will need a pass-through interface in pyplot, most likely
through a boilerplate.py entry, and a unit test :-)

Some of this is discussed at
http://matplotlib.sourceforge.net/devel/coding_guide.html, but some of
these conventions are undocumented, so we're happy to help with any
part that is confusing.

JDH

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Re: [Matplotlib-users] does mpl.canvas has a flag needsdrawing?

2009-09-18 Thread John Hunter
We want a complete, free standing example that exposes the bug, with  
any additional info like mpl backend and version number.



On Sep 18, 2009, at 7:43 AM, Werner F. Bruhin  
werner.bru...@free.fr wrote:

 John,

 John Hunter wrote:
 On Fri, Sep 18, 2009 at 4:39 AM, Werner F. Bruhin werner.bru...@free.fr 
  wrote:

 I have multiple canvas and sometimes one or more might have  
 nothing to
 draw (no data).

 Currently I just call.

 canvas.draw()
 canvas.Refresh()

 for each of the canvas, but this gives me an error if there is no  
 data.

 Is there a built-in flag I can check before calling draw?  Or do I  
 have
 to keep create my own?


 There is no such flag, but you should not get an error on drawing an
 empty figure or one that doesn't need to be drawn.  Can you post
 example code that produces the error?

 I narrowed it down to one line of code, if I comment the following  
 line
 then the error goes away.

axes.xaxis.set_major_formatter(yearFmt)

 Is this enough for you?  Or do you like some runnable code?

 Werner




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Re: [Matplotlib-users] does mpl.canvas has a flag needsdrawing?

2009-09-18 Thread Werner F. Bruhin
John,

John Hunter wrote:
 On Fri, Sep 18, 2009 at 4:39 AM, Werner F. Bruhin werner.bru...@free.fr 
 wrote:
   
 I have multiple canvas and sometimes one or more might have nothing to
 draw (no data).

 Currently I just call.

 canvas.draw()
 canvas.Refresh()

 for each of the canvas, but this gives me an error if there is no data.

 Is there a built-in flag I can check before calling draw?  Or do I have
 to keep create my own?
 

 There is no such flag, but you should not get an error on drawing an
 empty figure or one that doesn't need to be drawn.  Can you post
 example code that produces the error?
   
I narrowed it down to one line of code, if I comment the following line
then the error goes away.

axes.xaxis.set_major_formatter(yearFmt)

Is this enough for you?  Or do you like some runnable code?

Werner




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Re: [Matplotlib-users] does mpl.canvas has a flag needsdrawing?

2009-09-18 Thread Werner F. Bruhin

John Hunter wrote:
We want a complete, free standing example that exposes the bug, with 
any additional info like mpl backend and version number.

matplotlib: 0.99.0
wx.Python: 2.8.10.1 (unicode on Win Vista)
Python 2.5.4

If I comment line 78 then the exception goes away.  The attached code 
does not use, but the exception is the same as I get in my code when I 
call draw.


Hope this helps
Werner




On Sep 18, 2009, at 7:43 AM, Werner F. Bruhin 
werner.bru...@free.fr wrote:



John,

John Hunter wrote:
On Fri, Sep 18, 2009 at 4:39 AM, Werner F. Bruhin 
werner.bru...@free.fr wrote:



I have multiple canvas and sometimes one or more might have nothing to
draw (no data).

Currently I just call.

canvas.draw()
canvas.Refresh()

for each of the canvas, but this gives me an error if there is no 
data.


Is there a built-in flag I can check before calling draw?  Or do I 
have

to keep create my own?



There is no such flag, but you should not get an error on drawing an
empty figure or one that doesn't need to be drawn.  Can you post
example code that produces the error?


I narrowed it down to one line of code, if I comment the following line
then the error goes away.

   axes.xaxis.set_major_formatter(yearFmt)

Is this enough for you?  Or do you like some runnable code?

Werner




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# -*- coding: utf-8 -*-#
#!/usr/bin/env python

An example of how to use wx or wxagg in an application with the new
toolbar - comment out the setA_toolbar line for no toolbar


import datetime

from numpy import arange, sin, pi

import matplotlib
print matplotlib.__version__

# uncomment the following to use wx rather than wxagg
#matplotlib.use('WX')
#from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas

# comment out the following to use wx rather than wxagg
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas

from matplotlib.backends.backend_wx import NavigationToolbar2Wx

from matplotlib.figure import Figure

from matplotlib.dates import YearLocator, MonthLocator, DateFormatter, WeekdayLocator

from matplotlib.dates import MONDAY, SATURDAY

from matplotlib.finance import quotes_historical_yahoo


import wx

print wx.__version__

class CanvasFrame(wx.Frame):

def __init__(self):
wx.Frame.__init__(self,None,-1,
 'CanvasFrame',size=(550,350))

self.SetBackgroundColour(wx.NamedColor(WHITE))

self.figure = Figure()
self.canvas = FigureCanvas( self, -1, self.figure)

date1 = datetime.date( 2002, 1, 5 )
date2 = datetime.date( 2003, 12, 1 )

# every monday
mondays   = WeekdayLocator(MONDAY)

# every 3rd month
months= MonthLocator(range(1,13), bymonthday=1, interval=3)
monthsFmt = DateFormatter(%b '%y)


quotes = quotes_historical_yahoo('INTC', date1, date2)
if not quotes:
print 'Found no quotes'
raise SystemExit

dates = [q[0] for q in quotes]
opens = [q[1] for q in quotes]

self.axes = self.figure.add_subplot(111)
# following line is commented to force the exception
##self.axes.plot_date(dates, opens, '-')

self.axes.autoscale_view()
self.axes.grid(True)

yearLoc = YearLocator()
yearFmt = DateFormatter('%Y')
# comment the following line not to get the exeception
self.axes.xaxis.set_major_formatter(yearFmt)

self.sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
self.SetSizer(self.sizer)
self.Fit()

self.add_toolbar()  # comment this out for no toolbar


def add_toolbar(self):
self.toolbar = NavigationToolbar2Wx(self.canvas)
self.toolbar.Realize()
if wx.Platform == '__WXMAC__':
# Mac platform (OSX 10.3, MacPython) does not seem to cope with
# having a toolbar in a sizer. This work-around gets the buttons
# back, but at the expense of having the toolbar at the top
self.SetToolBar(self.toolbar)
else:
# On Windows platform, default window size is incorrect, so set
# toolbar width to figure width.
tw, th = self.toolbar.GetSizeTuple()
fw, fh = self.canvas.GetSizeTuple()
# 

Re: [Matplotlib-users] does mpl.canvas has a flag needsdrawing?

2009-09-18 Thread John Hunter
On Fri, Sep 18, 2009 at 8:15 AM, Werner F. Bruhin werner.bru...@free.fr wrote:
 John Hunter wrote:

 We want a complete, free standing example that exposes the bug, with any
 additional info like mpl backend and version number.

Thanks -- when posting a bug, please consider taking the time to make
a *minimal* example.  Ie, there is a lot of wx cruft in the example,
as well as a lot of stuff that is created but not used (various
tickers, locators and datetime instances).  We have to then filter
this down to the core bug to see if it is real.  In this case it is.
But we get 1000 emails a month in addition to having to work on normal
mpl releases and development so we can use all the help we can get.

Here is my version of a minimal example, tested and failing on the
release branch and svn HEAD.  I've filed a bug report at
https://sourceforge.net/tracker/?func=detailaid=2861426group_id=80706atid=560720
and committed a unit test with a knownfailure decorator

import matplotlib.dates as dates

fig = plt.figure()
ax = fig.add_subplot(111)

yearFmt = dates.DateFormatter('%Y')
ax.xaxis.set_major_formatter(yearFmt)

fig.savefig('empty_date_bug')


That much more clearly shows where the problem is, doesn't require a
developer to have an optionaol backend installed, etc.

Thanks for the report and the test case.

JDH

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[Matplotlib-users] Contouring on triangular grids

2009-09-18 Thread Ian Thomas
I've written some code to perform contouring on triangular grids. I
wrote the underlying C++ for a separate project, but as there has been
some interest on the mpl mailing lists for such functionality I've had
a go at wrapping it up as a python module so that it is available from
mpl. I've also added a few utility functions for plotting triangular
grids, doing pseudocolour plots, etc.

Attached is the source code with some documentation and examples.
There's an example of the output at
http://img10.imageshack.us/img10/2873/tricontourfdemo3g.png
This example is similar to one of the mpl contourf examples, but on a
triangular grid of 1000 randomly spaced points, with the grid
overlaid.

So far it is only experimental code and hasn't been widely tested. I
have a list of improvements already, but thought it best to let people
see a working version before spending time polishing it. If it turned
out that a (much improved) version of it was considered good enough to
incorporate into mpl, I'd would happily help as I'd like to
contribute.

I hope someone finds it useful!
Ian Thomas


mpl_tri.tar.gz
Description: GNU Zip compressed data
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Re: [Matplotlib-users] Polar plots rendered incorrectly in SVG

2009-09-18 Thread Bartosz Telenczuk
Dear Jae-Joon,

Your workaround worked perfectly! Thanks a lot!

Cheers,

Bartosz


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Re: [Matplotlib-users] does mpl.canvas has a flag needsdrawing?

2009-09-18 Thread Jae-Joon Lee
My guess is that the error happens when the matplotlib tries to format
the date ticklabels when the xlim is not correctly set, i.e., [0, 1]
in the example. But, I'm not sure what is the best approach here.

Werner, if there is nothing to draw (i,e, xlim is [0,1]), change the
xlim to some arbitrary range that is greater than 1 (e.g, [1,2]). For
example, in your code, you may do something like following after
calling the autoscale_view().


self.axes.autoscale_view()
if self.axes.get_xlim()[0]  1:
self.axes.set_xlim(dates[0], dates[-1])

Regards,

-JJ


On Fri, Sep 18, 2009 at 11:41 AM, Werner F. Bruhin
werner.bru...@free.fr wrote:
 John Hunter wrote:
 On Fri, Sep 18, 2009 at 8:15 AM, Werner F. Bruhin werner.bru...@free.fr 
 wrote:

 John Hunter wrote:

 We want a complete, free standing example that exposes the bug, with any
 additional info like mpl backend and version number.


 Thanks -- when posting a bug, please consider taking the time to make
 a *minimal* example.
 Sorry about that - was a bit in a hurry, but that is no excuse!

 Will do better next time.

 Thanks for anyhow having taken the time to look at it and to distill it
 down.

 Werner



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Re: [Matplotlib-users] Contouring on triangular grids

2009-09-18 Thread Andrew Straw
Ian Thomas wrote:
 I've written some code to perform contouring on triangular grids. I
 wrote the underlying C++ for a separate project, but as there has been
 some interest on the mpl mailing lists for such functionality I've had
 a go at wrapping it up as a python module so that it is available from
 mpl. I've also added a few utility functions for plotting triangular
 grids, doing pseudocolour plots, etc.
   

Hi Ian,

Thanks for this.

I haven't had a chance to look at your code -- can you elaborate on the
approach you took versus natural neighbors interpolation, as available
through the mlab.griddata function? (See
examples/pylab_examples/griddata_demo.py for an example apparently
similar to yours.)

-Andrew

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Re: [Matplotlib-users] Contouring on triangular grids

2009-09-18 Thread Christopher Barker
Andrew Straw wrote:
 Thanks for this.

Yes, indeed. It looks like nice stuff!

I do encourage you to keep up the good work on this (the only thing I 
notice is the need for some more docs). I also encourage you to keep the 
contour generating code separate from anything matplotlib specific. I, 
for one, would like to use it outside of MPL.

Unfortunately, it will probably be a month or two before I can spend any 
time digging into this for my stuff, but it looks great so far.

 I haven't had a chance to look at your code -- can you elaborate on the
 approach you took versus natural neighbors interpolation, as available
 through the mlab.griddata function?

I think I can answer that a bit: this is contouring directly on the 
triangular mesh, rather than interpolating to a rectangular grid, then 
contouring. It should be a little more accurate, as well as saving 
processing time and memory. In particular, it should work better around 
the edges of a non-rectangular domain.

-Chris



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Re: [Matplotlib-users] saving an axes to draw in a different figure

2009-09-18 Thread Jae-Joon Lee
I don't think your approach will work in general.
When you move an axes from one figure to the other, you have to update
the transform attributes of all the artists, which, I think, could be
tricky to do for general cases.



On Thu, Sep 17, 2009 at 1:59 PM,  jason-s...@creativetrax.com wrote:
 I'm trying to draw the axes from one figure directly over the axes for
 another figure, in a sense, combining the two axes as two layers on one
 figure.

 So, first I get an axes instance, ax.

 import matplotlib.pyplot as plt
 fig=plt.figure()
 fig.add_subplot(111)
 plt.plot(range(10), [i^2 for i in range(10)])
 ax=fig.axes[0]
 plt.savefig('test.png')


 Okay, now I have the axes ax.  I want to draw ax directly on top of
 the following figure, and get a result that would be the same as if I
 had called the plot command above directly in the following code.  All
 I'm passed in my real code is the newax variable below, which is why I
 use newax.get_figure()).

 fig=plt.figure()
 newax=fig.add_subplot(111)
 ax.set_figure(newax.get_figure())
 newax.get_figure().add_axes(ax,label=newax)
 plt.savefig('test2.png')

For this particular case, set the figure attribute directly instead of
calling the set_figure methods, which does more extra stuff. For
example,


fig=plt.figure()
ax.figure = fig
fig.add_axes(ax,label=newax)
plt.savefig('test2.png')

At least you will have your ticks right.

Again, this approach won't work well unless you update the transform
of all the artists as well.


 However, the result of test2.png is not very pretty and definitely not
 what I want.  The tick labels for the y-axis are all scrunched up, for
 example.

 Can anyone help?

 For those curious, what I'm doing is working on getting the Sage
 graphics code to be able to wrap and intelligently display matplotlib
 axes objects, so that a person could easily create a matplotlib axes,
 wrap it in the Sage graphics class, and then be able to manipulate it in
 Sage.  In order for this to work, it seems like I need to save the axes
 object I care about, and then when Sage composes it's final figure
 (using matplotlib), it passes me an AxesSubplot object.  I need to
 somehow take that subplot object and draw my saved axes on it in the
 most intelligent way possible.  In the code above, I try taking the
 given AxesSubplot object, getting the figure from that, and then just
 adding my saved axes to that figure.  Is there a better way to do this?


Having never used Sage before, I have little idea what you want to do
here (for example, what do you mean by Sage composes it's final
figure?). Anyhow, I think it would be best if you can figure out some
way that does not involves axes moving around.

Regards,

-JJ


 Thanks,

 Jason

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Re: [Matplotlib-users] saving an axes to draw in a different figure

2009-09-18 Thread John Hunter
On Fri, Sep 18, 2009 at 11:44 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 I don't think your approach will work in general.
 When you move an axes from one figure to the other, you have to update
 the transform attributes of all the artists, which, I think, could be
 tricky to do for general cases.

I agree that this would be difficult with the existing code base, but
it would be something that is nice to support.  Perhaps we can think
about adding support for a fig.move_axes_to(otherfig) method that
reconnects all the wiring.  We would of course have to be very careful
about all the child artists, but this would be a good thing to get
right.

JDH

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Re: [Matplotlib-users] does mpl.canvas has a flag needsdrawing?

2009-09-18 Thread Werner F. Bruhin
Hi Jae-Joon,

Jae-Joon Lee wrote:
 My guess is that the error happens when the matplotlib tries to format
 the date ticklabels when the xlim is not correctly set, i.e., [0, 1]
 in the example. But, I'm not sure what is the best approach here.

 Werner, if there is nothing to draw (i,e, xlim is [0,1]), change the
 xlim to some arbitrary range that is greater than 1 (e.g, [1,2]). For
 example, in your code, you may do something like following after
 calling the autoscale_view().
   
Thanks for the tip.  I have in the mean time reorganized my code and I
am just bypassing the problematic code if there is nothing to draw.

Werner




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Re: [Matplotlib-users] saving an axes to draw in a different figure

2009-09-18 Thread jason-sage
John Hunter wrote:
 On Fri, Sep 18, 2009 at 11:44 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
   
 I don't think your approach will work in general.
 When you move an axes from one figure to the other, you have to update
 the transform attributes of all the artists, which, I think, could be
 tricky to do for general cases.
 

 I agree that this would be difficult with the existing code base, but
 it would be something that is nice to support.  Perhaps we can think
 about adding support for a fig.move_axes_to(otherfig) method that
 reconnects all the wiring.  We would of course have to be very careful
 about all the child artists, but this would be a good thing to get
 right.
   


Okay.  I was hoping that maybe you would say the right way to do this 
was using inset_axes or something 
(http://matplotlib.sourceforge.net/examples/axes_grid/inset_locator_demo.html), 
but I think I understand from the comments why, for example, the ticks 
were all off in my example.

I guess we'll put this functionality in Sage on hold pending the 
functionality you mention above...

Thanks,

Jason

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Re: [Matplotlib-users] matshow

2009-09-18 Thread Jae-Joon Lee
On Thu, Sep 17, 2009 at 2:49 AM, Bala subramanian
bala.biophys...@gmail.com wrote:
 Friends,

 I have a matrix data and i used matshow() function to plot. The plot is
 attached.

 1) After plotting the data, i used xticks() function to change the x-axis
 tick labels from x1 to x12 ( figure attached). Similarly I want to change
 the y-axis tick labels into as A,B and C,  instead of 0,1,2 (in the attached
 figure) but when i use yticks() function as below, it dosent happen, instead
 it changes the plot.

 yticks( arange(3), ('A','B','C'))


Can you post a complete code (a simplified version that reproduces the
problem)? I have done some simple tests but it worked as expected.
Also, please report the version number of your mpl installation.


 2) I used the colormap cm.autumn to create the plot. Suppose if i want to
 generate the same plot with green,black, red combination, how should i
 specify the colors in matshow.


If none of the mpl's colormaps fits your need, you need to create your
own colormap.
Maybe the links below will be helpful.

http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps

-JJ



 Thanks in advance.
 Bala

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[Matplotlib-users] matplotlib crashing on WxAgg backend

2009-09-18 Thread Jeff Peery
hello,
have an error occuring that causes my app to crash. I found a few other email 
listings similar to my problem, but there were no responses that I could learn 
from. 
 
I am quickly plotting an array as it grows. I have a wxframe, canvas, figure 
and an axes. I clear the axes, plot the array, draw the canvas. this is 
happening at about 5 hz. I get the error message listed below and it only 
occurs when the mouse is hovering over the canvas or a button is pressed. I 
disabled these events from my canvas yet I still get this error, so I am not 
sure it is something from my code.
 
If I am not doing all this fast redrawing. there is no problem, ie. if the 
image is static I don't have this error. I suspect it has something to do with 
the axes objects clearing and redrawing while a mouse or key event is 
simultaneously being drawn.
 
Please advise as to how I may fix this problem. thanks for your help.
 
Jeff
 
Traceback (most recent call last):
  File C:\Python26\lib\site-packages\matplotlib\backends\backend_wx.py, line 
1315, in _onMotion
    FigureCanvasBase.motion_notify_event(self, x, y, guiEvent=evt)
  File C:\Python26\lib\site-packages\matplotlib\backend_bases.py, line 1244, 
in motion_notify_event
    guiEvent=guiEvent)
  File C:\Python26\lib\site-packages\matplotlib\backend_bases.py, line 899, 
in __init__
    LocationEvent.__init__(self, name, canvas, x, y, guiEvent=guiEvent)
  File C:\Python26\lib\site-packages\matplotlib\backend_bases.py, line 835, 
in __init__
    self._update_enter_leave()
  File C:\Python26\lib\site-packages\matplotlib\backend_bases.py, line 844, 
in _update_enter_leave
    last.canvas.callbacks.process('axes_leave_event', last)
  File C:\Python26\lib\site-packages\wx-2.8-msw-unicode\wx\_core.py, line 
14568, in __getattr__
    raise PyDeadObjectError(self.attrStr % self._name)
wx._core.PyDeadObjectError: The C++ part of the Canvas object has been deleted, 
attribute access no longer allowed.
 


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Re: [Matplotlib-users] axes3d material in matplotlib-0.99.0.win32-py2.5 missing?

2009-09-18 Thread Reckoner
if you're asking me, I don't have write access to this website.

Thanks again.

On Fri, Sep 18, 2009 at 4:45 AM, John Hunter jdh2...@gmail.com wrote:
 On Thu, Sep 17, 2009 at 8:34 PM, Reckoner recko...@gmail.com wrote:
 thanks. does this mean that

 http://www.scipy.org/Cookbook/Matplotlib/mplot3D

 is out of date?

 Yes, it needs to be updated -- best would just be to remove the
 contents there and point to the mplot3d on the mpl website.  Can you
 do this for us?

 JDH


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Re: [Matplotlib-users] [xpyx] Re: axes3d material in matplotlib-0.99.0.win32-py2.5 missing?

2009-09-18 Thread John Hunter
On Fri, Sep 18, 2009 at 4:00 PM, Philip Austin paus...@eos.ubc.ca wrote:
 Reckoner wrote:
 if you're asking me, I don't have write access to this website.

 See http://www.scipy.org/UserPreferences

 to create a wiki account -- best, Phil

I was asking you -- let me know if you are unable to do it and one of
us can follow up.

Thanks!
JDH

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[Matplotlib-users] How to plot saved plot data in a new figure?

2009-09-18 Thread Michael McNeil Forbes
Hi,

Is there a standard way to compute first and then plot something  
later?  For example, I would like to generate a fine contour plot,  
then use it as a background later.

x = np.linspace(-1,1,1000)
X,Y = np.meshgrid(x,x)
Z = ((X*X + Y*Y) - 0.5)**2 + Y**2
contours = plt.contour(X,Y,Z,100)  # Takes a while...
del x, X, Y, Z

I would like to the later plot the contours quickly.  What is the  
proper way to do this in general? I can do something like the  
following, but it seems like a hack (and may be missing important  
connections: for example, I initially forgot to set the transform  
which meant that the data was disconnected from the axis scale...)

f = plt.figure()
ax = plt.gca()
for collection in contours.collections:
collection.set_transform(ax.transData)
ax.add_collection(collection)

ax.autoscale_view()
plt.draw()

Have I forgotten anything here? I would have expected that, for any  
plotting command, the return value could be passed to an axis command,  
something like

f = plt.figure()
ax = plt.gca()
ax.add(contours)

or maybe even
ax.contour(contours)

though a general function to take the object returned by a plot  
command and plot it on the current axis efficiently would be best.

I can't find this functionality or a description about how to do  
this.  Any suggestions?

Likewise, is there an easy way to duplicate a figure (including the  
axes properties etc.) so one can produce two similar figures with  
slightly modified parameters?

Thanks,
Michael.


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[Matplotlib-users] pyplot.show

2009-09-18 Thread Thomas Hrabe

Hi all,

I am a beginner with matplotlib and doing my first steps with python
plotting.
However, I learned that pyplot.show really forces the display of already
existing plots.

For instance, when I type 
In[2]: pyplot.plot([1,2,3])
Out[2]: [matplotlib.lines.Line2D object at 0x2e33850] 

nothing happens until I type

In[3]: pyplot.show()

After that, the interpreter halts until I close the new figure window. Only
closing enables the interpreter to continue with my later input. Moreover,
typing 
In[4]: pyplot.plot([1,2,3])

again would display the figure immediately. Seems the gtk engine or
something else must be started up by pyplot.show once and, once running, it
displays everything else after that instantly.
How can I tweak pyplot in such way that it would display my figures on the
very first pyplot.plot call without halting the input?

Thank you in advance for your help,
Thomas

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Re: [Matplotlib-users] pyplot.show

2009-09-18 Thread sunqiang
may be you can try pyplot.ion()?  it turns interactive mode on.
Hope this helps.
On Sat, Sep 19, 2009 at 1:11 PM, Thomas Hrabe thr...@gmail.com wrote:


 Hi all,

 I am a beginner with matplotlib and doing my first steps with python
 plotting.
 However, I learned that pyplot.show really forces the display of already
 existing plots.

 For instance, when I type
 In[2]: pyplot.plot([1,2,3])
 Out[2]: [matplotlib.lines.Line2D object at 0x2e33850]

 nothing happens until I type

 In[3]: pyplot.show()

 After that, the interpreter halts until I close the new figure window. Only
 closing enables the interpreter to continue with my later input. Moreover,
 typing
 In[4]: pyplot.plot([1,2,3])

 again would display the figure immediately. Seems the gtk engine or
 something else must be started up by pyplot.show once and, once running, it
 displays everything else after that instantly.
 How can I tweak pyplot in such way that it would display my figures on the
 very first pyplot.plot call without halting the input?

 Thank you in advance for your help,
 Thomas

 --
 View this message in context:
 http://www.nabble.com/pyplot.show-tp25518658p25518658.html
 Sent from the matplotlib - users mailing list archive at Nabble.com.



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Re: [Matplotlib-users] pyplot.show

2009-09-18 Thread Thomas Hrabe

Hi,

thank you for the quick reply. Unfortunately, none of both works for me. 

values = [1,2,3];
pyplot.ioff();
#pyplot.ion();
print pyplot.isinteractive();
pyplot.plot(values);
pyplot.show();

The value (True|False) of interactive mode does not make a difference to the
plotting.
Other suggestionst?

Thanks so far!


may be you can try pyplot.ion()?  it turns interactive mode on.
Hope this helps.
On Sat, Sep 19, 2009 at 1:11 PM, Thomas Hrabe thr...@gmail.com wrote:


 Hi all,

 I am a beginner with matplotlib and doing my first steps with python
 plotting.
 However, I learned that pyplot.show really forces the display of already
 existing plots.

 For instance, when I type
 In[2]: pyplot.plot([1,2,3])
 Out[2]: [matplotlib.lines.Line2D object at 0x2e33850]

 nothing happens until I type

 In[3]: pyplot.show()

 After that, the interpreter halts until I close the new figure window.
 Only
 closing enables the interpreter to continue with my later input. Moreover,
 typing
 In[4]: pyplot.plot([1,2,3])

 again would display the figure immediately. Seems the gtk engine or
 something else must be started up by pyplot.show once and, once running,
 it
 displays everything else after that instantly.
 How can I tweak pyplot in such way that it would display my figures on the
 very first pyplot.plot call without halting the input?

 Thank you in advance for your help,
 Thomas

 --
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 http://www.nabble.com/pyplot.show-tp25518658p25518658.html
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Re: [Matplotlib-users] pyplot.show

2009-09-18 Thread Gökhan Sever
Running IPython with -pylab or specifying the threading option?


See more at

http://ipython.scipy.org/doc/stable/html/interactive/reference.html?highlight=pylab

On Sat, Sep 19, 2009 at 12:42 AM, Thomas Hrabe thr...@gmail.com wrote:


 Hi,

 thank you for the quick reply. Unfortunately, none of both works for me.

 values = [1,2,3];
 pyplot.ioff();
 #pyplot.ion();
 print pyplot.isinteractive();
 pyplot.plot(values);
 pyplot.show();

 The value (True|False) of interactive mode does not make a difference to
 the
 plotting.
 Other suggestionst?

 Thanks so far!


 may be you can try pyplot.ion()?  it turns interactive mode on.
 Hope this helps.
 On Sat, Sep 19, 2009 at 1:11 PM, Thomas Hrabe thr...@gmail.com wrote:

 
  Hi all,
 
  I am a beginner with matplotlib and doing my first steps with python
  plotting.
  However, I learned that pyplot.show really forces the display of already
  existing plots.
 
  For instance, when I type
  In[2]: pyplot.plot([1,2,3])
  Out[2]: [matplotlib.lines.Line2D object at 0x2e33850]
 
  nothing happens until I type
 
  In[3]: pyplot.show()
 
  After that, the interpreter halts until I close the new figure window.
  Only
  closing enables the interpreter to continue with my later input.
 Moreover,
  typing
  In[4]: pyplot.plot([1,2,3])
 
  again would display the figure immediately. Seems the gtk engine or
  something else must be started up by pyplot.show once and, once running,
  it
  displays everything else after that instantly.
  How can I tweak pyplot in such way that it would display my figures on
 the
  very first pyplot.plot call without halting the input?
 
  Thank you in advance for your help,
  Thomas
 
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