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try

ax1.axis(v)

-JJ


On Sun, Feb 7, 2010 at 5:16 PM, Wayne Watson
<sie...@sb...> wrote:
> The segment below is supposed to plot two columns of (x,y) data and do
> it in an area 640x480. Apparently, I'm missing how to use v to get this
> done. It dies at col.axis(v) with list object has no attribute 'axis'.
>  From looking at some MPL examples, it's not clear to me how one uses
> axis here. I might have needed axes, but that doesn't work either.
> Comments?
>
>
> ...
>         trk_stats = (amin, amax, mean, std, per_tile25, per_tile50,
> per_tile75)
>         fig = figure()
>         ax1 = fig.add_subplot(111)
>         v = (0, 640, 0, 480)
>         print "shapes: ", xy[:,0].shape, xy[:,1].shape
>         col = ax1.plot(xy[:,0], xy[:,1])
>         col.axis(v)
>         show()
>         print "something for wtw plot"
>         print
>         return trk_stats
>
>
>
>
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Thanks. It seems most example of matplotlib end with show(). In fact, 
all may end that way, at least the short ones.

On 2/7/2010 1:50 PM, Jeff Whitaker wrote:
> >  I need to know how to close a figure/chart in matplot.
>    

-- 
My life in two words. "Interrupted Projects." -- WTW (quote originator)

The segment below is supposed to plot two columns of (x,y) data and do 
it in an area 640x480. Apparently, I'm missing how to use v to get this 
done. It dies at col.axis(v) with list object has no attribute 'axis'. 
 From looking at some MPL examples, it's not clear to me how one uses 
axis here. I might have needed axes, but that doesn't work either.  
Comments?


...
         trk_stats = (amin, amax, mean, std, per_tile25, per_tile50, 
per_tile75)
         fig = figure()
         ax1 = fig.add_subplot(111)
         v = (0, 640, 0, 480)
         print "shapes: ", xy[:,0].shape, xy[:,1].shape
         col = ax1.plot(xy[:,0], xy[:,1])
         col.axis(v)
         show()
         print "something for wtw plot"
         print
         return trk_stats

zxc wrote:
> Hi there!
> I need to know how to close a figure/chart in matplot.
>
> Does anyone know how it works and could you please explain on the 
> example below?
> The problem is: close(1)  doesn't close the figure 1 and when the 2nd 
> figure will be plot the program hangs.
> I tried with draw() but the figure doesn't appear.

Use fig.close()

-Jeff

Note the show() on the last line below. If I run this program from IDLE, 
it displays the graph, and sits there. I would like to finish, by 
getting to an active shell script. If I close the figure using x  in the 
upper right, it disappears. Now  two windows are seen. The code and 
script window. The script window is not active. I can't enter anything 
into it. The cursor is below the >>>. Ctrl-C doesn't work. If I use the 
x in the upper corner, eventually the script window disappears. How do I 
just return to the script? There ought to be a smooth way to do this by 
putting something after show().


import matplotlib
matplotlib.use('Agg')
from pylab import figure, show
import numpy as np

# make an agg figure
fig = figure()
ax = fig.add_subplot(111)
ax.plot([1,2,3])
ax.set_title('a simple figure')
fig.canvas.draw()
show()
-- 
My life in two words. "Interrupted Projects." -- WTW (quote originator)

It's is  simple  as  pie. Put three points on a sheet of paper. Draw a 
line with an arrow on it from any point to another. Draw a line from the 
last point to the third the same way. The method I described will work 
fine. I can do this.  No need  for you to  attach  arrows  to what 
you've  done.  I think this is really wrapped up.

On 2/7/2010 9:54 AM, Alan G Isaac wrote:
> Wayne Watson wrote:
>    
>>   The cumsum (summation) buffaloes me.
>>      
> That is just to create some artificial data,
> to illustrate.  If you have the coordinates
> in a 2 by N array named `locs`, just use the
> last 2 lines.  If you already have the
> coordinates separated into arrays x and y,
> just use the last line, i.e., plt.plot(x,y).
> Is that what you want?
>
> hth,
> Alan
>
> ------------------------------------------------------------------------------
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>    

-- 
My life in two words. "Interrupted Projects." -- WTW (quote originator)

Filipe Pires Alvarenga Fernandes wrote:
> Hello list,
> 
> I'm trying to create a stick-plot figure using the quiver function from 
> matplotlib. However, I'm failing miserably to plot dates in the x-axis. 
> Has anyone done this before? Also, is there an effort to create a 
> stickplot function?

I need to add units support to quiver so that it will recognize dates. 
I will do that shortly.

Please give an example showing what you want as a "stickplot".  What 
should be the capabilities of such a function?  Does it differ from 
quiver only in plotting line segments rather than arrows?

Eric

> 
> Thanks, Filipe
> 
> *****************************************************
> Filipe Pires Alvarenga Fernandes
> 
> University of Massachusetts Dartmouth
> 200 Mill Road - Fairhaven, MA
> Tel: (508) 910-6381
> Email: fal...@um... 
> <mailto:fal...@um...>
>          oc...@ya... <mailto:oc...@ya...>
>          oc...@gm... <mailto:oc...@gm...>
> 
> http://ocefpaf.tiddlyspot.com/
> *****************************************************
> 
> 
> ------------------------------------------------------------------------
> 
> ------------------------------------------------------------------------------
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> Stay online with enterprise data centers and the best network in the business
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> 
> ------------------------------------------------------------------------
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> _______________________________________________
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Hi there! 
I need to know how to close a figure/chart in matplot. 

Does anyone know how it works and could you please explain on the example below?
The problem is: close(1)  doesn't close the figure 1 and when the 2nd figure will be plot the program hangs.
I tried with draw() but the figure doesn't appear.





Thanks!
John




import matplotlib.pyplot as plt 
import time 

fig = plt.figure(1) 
ax = fig.add_subplot(111) 
ax.plot((1, 3, 1)) 
plt.show() 


time.sleep(10) 
plt.close(1)


fig = plt.figure(2) 
ax = fig.add_subplot(111) 
ax.plot((4, 1, 0)) 

plt.show() 

Wayne Watson wrote:
>  The cumsum (summation) buffaloes me.

That is just to create some artificial data,
to illustrate.  If you have the coordinates
in a 2 by N array named `locs`, just use the
last 2 lines.  If you already have the
coordinates separated into arrays x and y,
just use the last line, i.e., plt.plot(x,y).
Is that what you want?

hth,
Alan

As it turns out, this was easy to solve. What drove me to this point is 
that the distributor of the software I use mentioned that numpy had to 
be installed before MPL. I had only installed MPL when I ran into a 
program that failed. I thought it might be because I hadn't installed 
numpy first, in fac I had not at all installed it at that moment. Now I 
was faced with the question of backing out MPL. However, the MPL install 
had given several warnings about some file missing. This reinforced the 
idea order was needed.  As it turns out order doesn't matter here.  I 
installed numpy and all is working fine. I have no idea though when 
order does matter.

On 2/6/2010 4:39 AM, Christoph Gohlke wrote:
> Depending on the version and installer used, manually remove
>
> C:\Python25\Lib\site-packages\pylab.py
> C:\Python25\Lib\site-packages\matplotlib
> C:\Python25\Lib\site-packages\mpl_toolkits
> C:\Python25\Lib\site-packages\matplotlib*.egg-info
> C:\Python25\Removematplotlib.exe
> C:\Python25\matplotlib-wininst.log
>
> The packages dateutil and pytz are also installed along with matplotlib
> but might be used by other packages too.
>
> Christoph
>
>
> On 2/5/2010 12:11 PM, Wayne Watson wrote:
>    
>> I'm working in IDLE in Win7. It seems to me it gets stuck in
>> site-packages under C:\Python25. Maybe this is as simple as deleting the
>> entry?
>>
>> Well, yes there's a MPL folder under site-packages and an info MPL file
>> of 540 bytes. There  are  also pylab.py, pyc,and py0 files under site.
>> What to do next?
>>
>> On 2/5/2010 7:13 AM, Wayne Watson wrote:
>>      
>>> I should have installed  numpy first, and got some errors installing
>>> MPL. I don't see an uninstall in Control Panel Add/Rmv.
>>>
>>>        
>>      
> ------------------------------------------------------------------------------
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> Choose flexible plans and management services without long-term contracts
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>
>    

-- 
My life in two words. "Interrupted Projects." -- WTW (quote originator)

Hello list,

I'm trying to create a stick-plot figure using the quiver function from
matplotlib. However, I'm failing miserably to plot dates in the x-axis. Has
anyone done this before? Also, is there an effort to create a stickplot
function?

Thanks, Filipe

*****************************************************
Filipe Pires Alvarenga Fernandes

University of Massachusetts Dartmouth
200 Mill Road - Fairhaven, MA
Tel: (508) 910-6381
Email: fal...@um...
         oc...@ya...
         oc...@gm...

http://ocefpaf.tiddlyspot.com/
*****************************************************

(I see I "forgot" to post this solution to the list. I really have 
quickly developed a dislike for having to go to extra lengths to make 
sure this happens. Perhaps one of my difficulties is that some people 
respond directly to me, and my mail filter shuttles the message to my 
matplotlib folder instead of my inbox, so it looks like someone has sent 
their response to the list.)

Looking at your code suggests this is not what I want. The cumsum 
(summation) buffaloes me. I've just moved to Win7, and my PC is not yet 
ready for Python, so  I can't really grasp what you have.

 From what I've been able to determine from  a friend, who knows MatLab 
extremely well, this is not a difficult thing to  do in MatLab, and 
likely in MPL. The creation of the path across a canvas/figure is done 
with plot. It will draw the zig-zag starting with x0,y0. To show the 
path clearly there are several ways  to  proceed. I can color each point 
successively with R,G, and  B. The  first red point, maybe  with the 
help of an icon, says this is the start. Maybe a red circle. The next 
two points use a green and blue circle, probably of a  different size, 
or maybe a square. R,G,B is repeated along the path. Another choice is 
to define an arrow and orient it in the direction of the next segment. 
An appealing way to do all of this is to pause drawing the next segment. 
That way, the dynamics of the path are clearly seen.

On 2/5/2010 5:16 AM, Alan G Isaac wrote:
> On 2/5/2010 12:51 AM, Wayne Watson wrote:
>
>>   what I'm looking for is a way to draw a zig-zag path
>>   indicating a path taken by a particle
>>
> Here is a 2d example:
>
>   >>>  import numpy as np
>   >>>  import matplotlib.pyplot as plt
>   >>>  locs = np.random.random_sample((2,30))
>   >>>  locs = np.random.random_sample((2,30)) - 0.5
>   >>>  locs = np.cumsum(locs, axis=-1)
>   >>>  x,y = locs
>   >>>  plt.plot(x,y)
>
> hth,
> Alan Isaac
>
>
> ------------------------------------------------------------------------------
> The Planet: dedicated and managed hosting, cloud storage, colocation
> Stay online with enterprise data centers and the best network in the business
> Choose flexible plans and management services without long-term contracts
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> _______________________________________________
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>
>

-- 
My life in two words. "Interrupted Projects." -- WTW (quote originator)

Thanks to all who have replied.  {Ipython, Vpython, Spyder, WxPython,
Eclipse} x {Windows XP, Windows 7, Mac OSX, Linux} - looks like we have many
{IDE, platform} combinations to test, and no consensus on any one choice. 
Student needs are different than large project developers.  I need an IDE
that works well on all these platforms, is easy to install, and easy to use
for physics students who are writing small programs.

Unfortunately, I don't have time for beta testing these products, and I need
to make a recommendation soon.  Perhaps we need an enhancement request for
Matplotlib. It needs either IDLE or one of these other IDEs thoroughly
tested and included in the packages for each platform.

One of the teachers in our group is very happy with Sage.  It looks like a
good replacement for Matlab. I don't like that it is so different than
standard Python, but there is great appeal to something that "just works". 
Students will have even less time than I do to struggle with these setup
issues.

I'm still experimenting with IDLE, and it sure looks like nothing
fundamentally wrong, just a sloppy integration with Matplotlib and
documentation that either doesn't exist, or is too hard to find.  For
example, if I use draw() instead of show(), I can avoid freezing the IDLE
window, and make multiple overlaid plots as needed.  I can't find any
documentation on this, however, and I am probably doing it wrong.

Is there anyone here that uses IDLE with Matplotlib.  Maybe we just need a
HOWTO note. What is the Console window for? What commands are available in
that window? I see that "exit" causes control to switch back to IDLE, but
then I can't continue using draw().  When should I use close() or exit()? 
Is there any way to clear the plot window of existing data, and continue
plotting without having to restart the entire session?

-- 
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Gael Varoquaux a écrit :
> On Sun, Feb 07, 2010 at 09:59:04AM +0100, Pierre Raybaut wrote:
>   
>> Two screenshots to prove it :-)
>>
>> Running an example script including "pdb.set_trace()" in the external  
>> console:
>> http://spyderlib.googlegroups.com/web/pdb_test.png
>> Executing the same script from a Python interpreter within the external  
>> console:
>> http://spyderlib.googlegroups.com/web/pdb_test2.png
>>     
>
> Nice. I am not sure why when I tried it, it didn't work. I don't have
> spyder around to test.
>
> Gaël
>   
I suppose you tried it in the interactive console (Spyder's internal 
console) which does not support pdb indeed.
Anyway, the external console is probably not the ultimate scientific 
console mainly because it does not support matplotlib in interactive 
mode for now (actually, I still haven't heard any complaint on this 
point because people use the interactive console for interactive work -- 
e.g. analyzing and visualizing data -- and the external console for 
application development). But I guess I could make it work eventually.

-Pierre

On Sun, Feb 07, 2010 at 09:59:04AM +0100, Pierre Raybaut wrote:
> Two screenshots to prove it :-)
>
> Running an example script including "pdb.set_trace()" in the external  
> console:
> http://spyderlib.googlegroups.com/web/pdb_test.png
> Executing the same script from a Python interpreter within the external  
> console:
> http://spyderlib.googlegroups.com/web/pdb_test2.png

Nice. I am not sure why when I tried it, it didn't work. I don't have
spyder around to test.

Gaël

Pierre Raybaut a écrit :
> 2010/2/6 Gael Varoquaux <gae...@no...>:
>   
>> On Sat, Feb 06, 2010 at 11:27:50AM +0100, Pierre Raybaut wrote:
>> When you start having a somewhat complex set of functions that call
>> each other, or when you are getting failures with somebody else's code,
>> this is priceless. This is so useful that to debug some code that, when I
>> am trying to understand why some code is not working the way it should
>> be, I will purposely add an exception, to be able to introspect the code.
>> Granted, adding pdb.set_trace() will work without IPython[*], but I find
>> it very useful.
>>
>> [*] It will not work in Spyder as it is quite challenging to have these
>> features requiring user terminal interaction in a GUI.
>>     
>
> Actually it works in Spyder too (in the external console which is
> executed in a another process).
> ;-)
>
> -Pierre
>   
Two screenshots to prove it :-)

Running an example script including "pdb.set_trace()" in the external 
console:
http://spyderlib.googlegroups.com/web/pdb_test.png
Executing the same script from a Python interpreter within the external 
console:
http://spyderlib.googlegroups.com/web/pdb_test2.png

-Pierre

Hi there!
I need to know how to close a figure/chart in matplot. 
The problem is: I am developing a program that calculates >5 figures and
needs some minutes to calculate one. So it would be great if I could close
the figure if the next figure is ready cause then I am able to show both
figures and so on.....

Does anyone know how it works and could you explain on the below example?



import matplotlib.pyplot as plt
import time

fig = plt.figure(1)
ax = fig.add_subplot(111)
ax.plot((1, 3, 1))
plt.draw()

fig = plt.figure(2)
ax = fig.add_subplot(111)
ax.plot((4, 1, 0))


plt.show()

time.sleep(10)

plt.close(1)
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