[Matplotlib-users] Pixel shape

2011-04-16 Thread Paolo Zaffino
Hi at all,
I have a numpy matrix (an image) and I'd like to show it.
I thought to use show function, but I have a question.
I don't want that the pixel have dimension 1x1 unit but I want for 
example 1X1.5 unit (I don't want a square but a rectangle).
How can I do this?
Thanks in advance.
Paolo

--
Benefiting from Server Virtualization: Beyond Initial Workload 
Consolidation -- Increasing the use of server virtualization is a top
priority.Virtualization can reduce costs, simplify management, and improve 
application availability and disaster protection. Learn more about boosting 
the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users


Re: [Matplotlib-users] Pixel shape

2011-04-17 Thread Paolo Zaffino
Thanks for the reply.
I checked in the help...I didn't understand what I must to use.
Should you post me the link of the guide of this setting?
Thanks!


Il 16/04/2011 10:47, Sebastian Berg ha scritto:
> Hello,
>
> check the help ;). you can set aspect='auto' or something fixed.
>
> Regards,
>
> Sebastian
>
> On Sat, 2011-04-16 at 10:43 +0200, Paolo Zaffino wrote:
>> Hi at all,
>> I have a numpy matrix (an image) and I'd like to show it.
>> I thought to use show function, but I have a question.
>> I don't want that the pixel have dimension 1x1 unit but I want for
>> example 1X1.5 unit (I don't want a square but a rectangle).
>> How can I do this?
>> Thanks in advance.
>> Paolo
>>
>> --
>> Benefiting from Server Virtualization: Beyond Initial Workload
>> Consolidation -- Increasing the use of server virtualization is a top
>> priority.Virtualization can reduce costs, simplify management, and improve
>> application availability and disaster protection. Learn more about boosting
>> the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev
>> ___
>> Matplotlib-users mailing list
>> Matplotlib-users@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>
> --
> Benefiting from Server Virtualization: Beyond Initial Workload
> Consolidation -- Increasing the use of server virtualization is a top
> priority.Virtualization can reduce costs, simplify management, and improve
> application availability and disaster protection. Learn more about boosting
> the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>


--
Benefiting from Server Virtualization: Beyond Initial Workload 
Consolidation -- Increasing the use of server virtualization is a top
priority.Virtualization can reduce costs, simplify management, and improve 
application availability and disaster protection. Learn more about boosting 
the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users


Re: [Matplotlib-users] Pixel shape

2011-04-19 Thread Paolo Zaffino

I have resolved using the aspect setting.
I calculated the ratio between the two pixel dimensions and I use this 
value for aspect (if you want to shift the pixel size you can use the 
inverse of this value).

Thank you for the support!
Paolo


Il 18/04/2011 15:55, Joe Kington ha scritto:
Actually, I think he's wanting a set aspect, right?  Either way, it's 
just "aspect=1.5" or "aspect=0.6667" depending on the orientation he 
wants.


On Mon, Apr 18, 2011 at 6:37 AM, Sebastian Berg 
mailto:sebast...@sipsolutions.net>> wrote:


The solution is already the aspect='auto', ie:

import numpy as np
from matplotlib import pyplot as plt
a = np.arange(100).reshape(10,10)
plt.imshow(a, aspect='auto')

aspect='auto' is what you were looking for, the documentation (as you
probably already found is for example at:

http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.imshow
    or in interactive help.


On Sun, 2011-04-17 at 23:16 +0200, Paolo Zaffino wrote:
> Thanks for the reply.
> I checked in the help...I didn't understand what I must to use.
> Should you post me the link of the guide of this setting?
> Thanks!
>
>
> Il 16/04/2011 10:47, Sebastian Berg ha scritto:
> > Hello,
> >
> > check the help ;). you can set aspect='auto' or something fixed.
> >
> > Regards,
> >
> > Sebastian
> >
> > On Sat, 2011-04-16 at 10:43 +0200, Paolo Zaffino wrote:
> >> Hi at all,
> >> I have a numpy matrix (an image) and I'd like to show it.
> >> I thought to use show function, but I have a question.
> >> I don't want that the pixel have dimension 1x1 unit but I
want for
> >> example 1X1.5 unit (I don't want a square but a rectangle).
> >> How can I do this?
> >> Thanks in advance.
> >> Paolo
> >>
> >>

--
> >> Benefiting from Server Virtualization: Beyond Initial Workload
> >> Consolidation -- Increasing the use of server virtualization
is a top
> >> priority.Virtualization can reduce costs, simplify
management, and improve
> >> application availability and disaster protection. Learn more
about boosting
> >> the value of server virtualization.
http://p.sf.net/sfu/vmware-sfdev2dev
> >> ___
> >> Matplotlib-users mailing list
> >> Matplotlib-users@lists.sourceforge.net
<mailto:Matplotlib-users@lists.sourceforge.net>
> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >>
> >
> >
> >

--
> > Benefiting from Server Virtualization: Beyond Initial Workload
> > Consolidation -- Increasing the use of server virtualization
is a top
> > priority.Virtualization can reduce costs, simplify management,
and improve
> > application availability and disaster protection. Learn more
about boosting
> > the value of server virtualization.
http://p.sf.net/sfu/vmware-sfdev2dev
> > ___
> > Matplotlib-users mailing list
> > Matplotlib-users@lists.sourceforge.net
<mailto:Matplotlib-users@lists.sourceforge.net>
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
>
>
>

--
> Benefiting from Server Virtualization: Beyond Initial Workload
> Consolidation -- Increasing the use of server virtualization is
a top
> priority.Virtualization can reduce costs, simplify management,
and improve
> application availability and disaster protection. Learn more
about boosting
> the value of server virtualization.
http://p.sf.net/sfu/vmware-sfdev2dev
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
<mailto:Matplotlib-users@lists.sourceforge.net>
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>




--
Benefiting from Server Virtualization: Beyond Initial Workload
Consolidation -- Increasing the use of server virtualization is a top
prio