I'm not sure if it's the best option, but a solution I found is to edit 
.spyder2/.spyder.ini and remove the inline from the line
ipython_kernel_options = 'python --pylab=inline'
This makes the ipython kernel behave as I want
I couldn't get the internal ipython to behave as I want. It locks up on 
interactive drawing (i.e if ion() is called), and doesn't import what I 
want and I couldn't find the setup files for that yet, only for the kernel 
version.

As for the version, I'm using the 64bit version of the enthought 
distribution 7.3.1. Version 8 seems to be out, at least in beta, but not 
under the academic license.

I've looked here
http://www.lfd.uci.edu/~gohlke/pythonlibs/ 
doesn't seem to be a newer version of spyder for 64 bits, but there is one 
for ipython now (0.13), will see if it makes a difference.

Thanks

On Thursday, July 12, 2012 3:46:54 PM UTC+3, matt wrote:
>
> To get the most out of Ipython and Spyder you need the most up to date 
> versions of both.  They are both moving very quickly, so possibly you 
> should consider following the development versions.  However, be warned 
> that bugs will often crop up in these versions so you will need to know how 
> to revert to previous versions.  I believe the newest Spyder only supports 
> Ipython .12 or greater, but the one you have likely was before that 
> change(and the added menu options I spoke of).
>
> On Thu, Jul 12, 2012 at 5:43 AM, laughingrice wrote:
>
>> I don't seem to have  Tools>Preferences>Ipython Console, only  
>> Tools>Preferences>Console
>> Under the IPython interpreter command line options it says that IPythong 
>> >= 0.10 is not installed on this computer, may be the cause, although 
>> starting ipython, it says that the version installed is 0.12.1
>> Changing options under console don't seem to make any difference for the 
>> ipython kernel window
>> Running from an ipython console or a regular console (I can't open an 
>> ipython console automatically at startup) gives me the behavior I want, but 
>> I can't open the ipython console on startup automatically, which makes 
>> things a bit more cumbersome and it doesn't setup the numpy environment 
>> automatically as well
>>
>> Thanks
>>
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