matplotlib-users Mailing List for matplotlib

Jeff Whitakert :
> Jose Guzman:
>> ...
>> >>> imshow(W, cmap=cm.binary) # W is a Numpy Array with shape (100,100)
>>
>> However, this does not work the way i would like (the ones appear 
>> very blur). I would need the correct representation of a grid where 
>> the possition 0,0 is simply the entry W[0,0] of my array.
>>
>
> Jose: I think you need to add interpolation='nearest' to get rid of 
> the blurriness.
A. This is one possibility.
B. The - mentioned previously - matshow, is another one.
C. figimage(W,cmap=cm.binary) is a third one ; here the scale is one to 
one in pixels, independently of the figsize.
D. Specific backend image plotting is yet another one, if somebody needs 
really to work hard.

Jerzy K.

On 2/19/12 1:18 PM, Jose Guzman wrote:
> Dear matplotlib users,
>
> I am trying to plot a nxn symetric matrix containing zeros (in white) 
> and ones (in black). Quite simple, I guessed. For that I use imshow as 
> follows:
>
> >>> imshow(W, cmap=cm.binary) # W is a Numpy Array with shape (100,100)
>
> However, this does not work the way i would like (the ones appear very 
> blur). I would need the correct representation of a grid where the 
> possition 0,0 is simply the entry W[0,0] of my array.
>
> There should be an easy way to plot this matrix, bu I cannot figure it 
> out.
>
> Thanks for your help in advance.
>
> Jose

Jose: I think you need to add interpolation='nearest' to get rid of the 
blurriness.

-Jeff

On 02/19/2012 10:18 AM, Jose Guzman wrote:
> Dear matplotlib users,
>
> I am trying to plot a nxn symetric matrix containing zeros (in white)
> and ones (in black). Quite simple, I guessed. For that I use imshow as
> follows:
>
>  >>> imshow(W, cmap=cm.binary) # W is a Numpy Array with shape (100,100)
>
> However, this does not work the way i would like (the ones appear very
> blur). I would need the correct representation of a grid where the
> possition 0,0 is simply the entry W[0,0] of my array.
>
> There should be an easy way to plot this matrix, bu I cannot figure it out.

Did you try matshow?

Eric

>
> Thanks for your help in advance.
>
> Jose
>
>
>
> ------------------------------------------------------------------------------
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>
>
>
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Dear matplotlib users,

I am trying to plot a nxn symetric matrix containing zeros (in white) 
and ones (in black). Quite simple, I guessed. For that I use imshow as 
follows:

 >>> imshow(W, cmap=cm.binary) # W is a Numpy Array with shape (100,100)

However, this does not work the way i would like (the ones appear very 
blur). I would need the correct representation of a grid where the 
possition 0,0 is simply the entry W[0,0] of my array.

There should be an easy way to plot this matrix, bu I cannot figure it out.

Thanks for your help in advance.

Jose

Hey guys,

how do I configure my plot in a way that there arent framed axes but cross -
section -axes? I talk about this



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Any help?
-- 
View this message in context: http://old.nabble.com/Cross-Section-Axes-%28Not-framed%29-tp33353010p33353010.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On Sun, Feb 19, 2012 at 10:15 AM, Jerzy Karczmarczuk <
jer...@un...> wrote:

> I believe that the list owners will have to strenghten some tools to
> fight against all those shameless spammers.
>
>
I wade through about 20 gated messages a day in the mpl administrative
interface.  90% are spam, the remainder are legitimate.  Most spammers just
post to the list without bothering to subscribe, so we catch most of them
in the administrative interface.  Apparently "debl" either subscribed or
hijacked the account of a subscriber.  I think we get no more than a few
spams a year, so we aren't doing too badly.  The vacation auto-responders
are getting to be an annoyance though -- any of you who use them please
configure them not to respond to mailing list traffic.

i unsubscripted debl, our most recent spammer, so we'll see how that works.

JDH

I believe that the list owners will have to strenghten some tools to 
fight against all those shameless spammers.

Jerzy Karczmarczuk

 This is very effective http://hyset.com.ar/message.php?Catherine I liked it. 

Hi all,
 I just tried to use the uplims=True option in matplotlib errorbars to plot
some upper limits, and it turns out that the arrow is upward directed...
Now, an upper limit should mean that the measurement of a certain quantity
has excluded all higher values and that the true value may be smaller than
the limit set, i.e. the arrow should be directed downward.
Isn't it?
same thing for the lolims option, in that case arrows should be directed
upwards.

or is there something I'm missing?


-- 
View this message in context: http://old.nabble.com/errorbar-uplims-and-lolims-reversed--tp33352206p33352206.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

I think you're right. Even if there is a work-around, it can't be right for the colorbar to change without affecting the image. I've filed issue #708.

Thanks,
Ray

On Feb 19, 2012, at 4:37 AM, Jae-Joon Lee wrote:

> As far as I can see, this is a bug of matplolib, although calling a set_data work around this. Can you open a bug report in our github repo?
> 
> -JJ
> 2012. 2. 18. 오후 10:12에 "Ray Osborn" <RO...@an...>님이 작성:
> You're exactly right. That does fix it. Unfortunately, it means I have to refactor some of my code because the Pyside slot doesn't currently have access to the original data, but that's not a huge deal.
> 
> Thanks,
> Ray
> 
> On Feb 18, 2012, at 4:35 AM, Jerzy Karczmarczuk wrote:
> 
> > Ray Osborn:
> >>
> >> OK - it turns out I can reproduce it in a simple ipython session using ipython --pylab=qt.
> >>
> >> I set up an image plot as follows:
> >>
> >> import numpy as np
> >> import matplotlib.pyplot as plt
> >> from matplotlib.image import NonUniformImage
> >>
> >> x=y=np.linspace(0,2*np.pi,101)
> >> X,Y=np.meshgrid(x,y)
> >> z=sin(X)*sin(Y)
> >>
> >> ax=plt.gca()
> >> extent = (x[0],x[-1],y[0],y[-1])
> >> im = NonUniformImage(ax, extent=extent, origin=None)
> >> im.set_data(x,y,z)
> >>
> >> ax.images.append(im)
> >> ax.set_xlim(x[0],x[-1])
> >> ax.set_ylim(y[0],y[-1])
> >>
> >> plt.colorbar(im)
> >>
> >> plt.gcf().canvas.draw()
> >>
> >>
> >> After that, I try to change the color scale using:
> >>
> >> im.set_clim(0,0.5)
> >> plt.gcf().canvas.draw()
> >>
> >> The colorbar changes scale, but the plot is untouched. Is that the expected behavior?
> >>
> >> Thanks,
> >> Ray
> >
> > Try, perhaps, after set_clim, to reinstall the data:
> >
> > im.set_data(x,y,z)
> > plt.gcf().canvas.draw()
> >
> > =
> >
> > Jerzy Karczmarczuk
> >
> > ------------------------------------------------------------------------------
> > Virtualization & Cloud Management Using Capacity Planning
> > Cloud computing makes use of virtualization - but cloud computing
> > also focuses on allowing computing to be delivered as a service.
> > http://www.accelacomm.com/jaw/sfnl/114/51521223/_______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> --
> Ray Osborn
> Materials Science Division
> Argonne National Laboratory
> Argonne, IL 60439, USA
> Phone: +1 (630) 252-9011
> Email: RO...@an...
> 
> 
> 
> 
> ------------------------------------------------------------------------------
> Virtualization & Cloud Management Using Capacity Planning
> Cloud computing makes use of virtualization - but cloud computing
> also focuses on allowing computing to be delivered as a service.
> http://www.accelacomm.com/jaw/sfnl/114/51521223/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

-- 
Ray Osborn
Materials Science Division
Argonne National Laboratory
Argonne, IL 60439, USA
Phone: +1 (630) 252-9011
Email: RO...@an...

As far as I can see, this is a bug of matplolib, although calling a
set_data work around this. Can you open a bug report in our github repo?

-JJ
 2012. 2. 18. 오후 10:12에 "Ray Osborn" <RO...@an...>님이 작성:

> You're exactly right. That does fix it. Unfortunately, it means I have to
> refactor some of my code because the Pyside slot doesn't currently have
> access to the original data, but that's not a huge deal.
>
> Thanks,
> Ray
>
> On Feb 18, 2012, at 4:35 AM, Jerzy Karczmarczuk wrote:
>
> > Ray Osborn:
> >>
> >> OK - it turns out I can reproduce it in a simple ipython session using
> ipython --pylab=qt.
> >>
> >> I set up an image plot as follows:
> >>
> >> import numpy as np
> >> import matplotlib.pyplot as plt
> >> from matplotlib.image import NonUniformImage
> >>
> >> x=y=np.linspace(0,2*np.pi,101)
> >> X,Y=np.meshgrid(x,y)
> >> z=sin(X)*sin(Y)
> >>
> >> ax=plt.gca()
> >> extent = (x[0],x[-1],y[0],y[-1])
> >> im = NonUniformImage(ax, extent=extent, origin=None)
> >> im.set_data(x,y,z)
> >>
> >> ax.images.append(im)
> >> ax.set_xlim(x[0],x[-1])
> >> ax.set_ylim(y[0],y[-1])
> >>
> >> plt.colorbar(im)
> >>
> >> plt.gcf().canvas.draw()
> >>
> >>
> >> After that, I try to change the color scale using:
> >>
> >> im.set_clim(0,0.5)
> >> plt.gcf().canvas.draw()
> >>
> >> The colorbar changes scale, but the plot is untouched. Is that the
> expected behavior?
> >>
> >> Thanks,
> >> Ray
> >
> > Try, perhaps, after set_clim, to reinstall the data:
> >
> > im.set_data(x,y,z)
> > plt.gcf().canvas.draw()
> >
> > =
> >
> > Jerzy Karczmarczuk
> >
> >
> ------------------------------------------------------------------------------
> > Virtualization & Cloud Management Using Capacity Planning
> > Cloud computing makes use of virtualization - but cloud computing
> > also focuses on allowing computing to be delivered as a service.
> >
> http://www.accelacomm.com/jaw/sfnl/114/51521223/_______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
> --
> Ray Osborn
> Materials Science Division
> Argonne National Laboratory
> Argonne, IL 60439, USA
> Phone: +1 (630) 252-9011
> Email: RO...@an...
>
>
>
>
>
> ------------------------------------------------------------------------------
> Virtualization & Cloud Management Using Capacity Planning
> Cloud computing makes use of virtualization - but cloud computing
> also focuses on allowing computing to be delivered as a service.
> http://www.accelacomm.com/jaw/sfnl/114/51521223/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

On 02/18/2012 01:44 PM, fra...@hu... wrote:
> Hello all.
>
> I have a rather long code and get always a strange error:
>
> can't invoke "event" command: application has been destroyed
> while executing
> "event generate $w <<ThemeChanged>>"
> (procedure "ttk::ThemeChanged" line 6)
> invoked from within
> "ttk::ThemeChanged"
>
>
> The code is too long but I found some other code that produces exactly
> same type of error (see below).
>
> Does anybody have an idea what can be done in this case? Thx for
> some help.
>
> Frank.
>
> I use: Ubuntu 10.10, 64 bit, Tkinter, Python 2.6, etc ...

Confirmed with mpl master, ubuntu 11.04.  It seems to be a harmless 
glitch in Tk.  It is triggered by making a figure and then closing it; 
it does not matter whether anything is drawn in the figure. So the 
example can be condensed even more to:

import matplotlib.pyplot as plt

fig1 = plt.figure()
plt.close(fig1)

fig2 = plt.figure()
plt.plot(range(10), 'bo')
plt.title('This figure will be shown')

plt.show()

Eric

>
> ***************************************************************
>
> import matplotlib.pyplot as plt
>
> fig1 = plt.figure()
> plt.plot(range(10), 'ro-')
> plt.title('This figure will be saved but not shown')
> fig1.savefig('fig1.png')
> plt.close(fig1)
>
> fig2 = plt.figure()
> plt.plot(range(10), 'bo')
> plt.title('This figure will be shown')
>
> plt.show()
>
>
>
> ------------------------------------------------------------------------------
> Virtualization&  Cloud Management Using Capacity Planning
> Cloud computing makes use of virtualization - but cloud computing
> also focuses on allowing computing to be delivered as a service.
> http://www.accelacomm.com/jaw/sfnl/114/51521223/
>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users