Re: [Matplotlib-users] idle and ipython and axis

2007-01-10 Thread John Hunter
> "belinda" == belinda thom <[EMAIL PROTECTED]> writes: belinda> I am not sure, but I think this difference in behavior is belinda> b/c IPython is a bit better about calling belinda> draw_if_interactive after "most pylab functions" (see belinda> Eric Firing's http://www.mail-ar

Re: [Matplotlib-users] idle and ipython and axis

2007-01-10 Thread belinda thom
Mark, > BTW, when you use pylab in interactive mode, the axis() command > should scale your figure interactively, also under IDLE. Have you > tried that? Yes, I tried using axis in both IDLE and IPython. IPython's redrew the axis automatically whereas IDLE's did not. I am not sure, but I t

Re: [Matplotlib-users] idle and ipython and axis

2007-01-10 Thread John Hunter
> "belinda" == belinda thom <[EMAIL PROTECTED]> writes: belinda> Hi, belinda> I've been playing w/both IDLE and IPython, using TkAgg in belinda> both cases as the back end. Also, I've got the latest belinda> matplotlib and ipython versions and am using MacPython's belinda>

Re: [Matplotlib-users] idle and ipython and axis

2007-01-10 Thread John Hunter
> "belinda" == belinda thom <[EMAIL PROTECTED]> writes: belinda> I can create plots to my hearts content in both, but when belinda> I ask to rescale the plots, e.g. axis([-.2,2.4,-2,2.4]), belinda> NOTHING happens to the figure drawn via IDLE, whereas the belinda> command work

Re: [Matplotlib-users] idle and ipython and axis

2007-01-10 Thread Mark Bakker
I have experienced the same problem with IDLE. It only works with -n, but then you lose the nice feature of 'starting over'. Does anybody know a fix so we can do both? Thanks, Mark BTW, when you use pylab in interactive mode, the axis() command should scale your figure interactively, also under I

Re: [Matplotlib-users] idle and ipython and axis

2007-01-10 Thread Giorgio Luciano
I had the same problem about figures that freeze using IDLE and matplotlib but finally I manage to solve it with the help of Eric and also a bit of luck. Instead of using TkAgg I use WxAgg and it never hangs. I use Idle -n and in the matplotlibrc set Interactive I use all latest version of Numpy