matplotlib-users Mailing List for matplotlib

On 4/20/06, David Huard <dav...@gm...> wrote:
> Matplotlib provides hist, an histogram plotting function.
>  For more involved computations, you would have to compute the pdf and cd=
f
> first using scipy.stats. For empirical distributions, I think the functio=
ns
> cumfreq and relfreq would do the job. For statistical distributions, use
> distribution.pdf and distribution.cdf, where distribution is norm, gamma,
> lognorm, ...

Thanks for that tip David. Though it seems that even scipy doesn't do
exactly what I want. I'm looking to plot the empirical CDF.
scipy.stats.cumfreq divides the sample space into "bins" of fixed
size, while I want a step function at the given points.

I guess I'll just write my own.
--
Web/Blog/Gallery: http://floatingsun.net/blog

+1 on this way of working.
I think you'd only want to trigger this if numerix was set to something 
like 'imported' or 'automatic'.
However, if there's going to be a mass movement to numpy in the near 
future, I think this change should be a low priority.
Gary R.

Christopher Barker wrote:
> John Pye wrote:
>> I implemented the sniffing for num* libraries in our own code, which
>> maybe is of interest to other users:
> 
> I did something similar for my wxPython FloatCanvas, but I've been 
> thinking that it should do something different:
> 
> Rather than a pre-defined hierarchy of preference for package, perhaps 
> it could start by check if any of the num* packages are loaded already. 
> That way a user could so:
> 
> import Numeric
> import matplotlib
> 
> and MPL would use the Numeric that was already imported, rather than 
> another.
> 
> Just a thought.
> 
> -Chris
> 
> PS: I'm really looking forward to when we all just use numpy!

Mike,

I thought all the aspect handling was finally working correctly.  If you 
generate a simple example, I will take a look.  The simpler the better, 
of course.  I presume you are working with a recent svn version.

Eric

Michael P. Mossey wrote:
> I'm using this aspect mode:
> 
>       axes.set_aspect( 'equal', adjustable='datalim' )
> 
> With several xy line plots on the axes, autoscaling doesn't seem to 
> occur properly. It cuts off part of the data. Is this a known issue? I 
> don't have a simple script to replicate it---I'll have to pull that out 
> of a larger program---but just wanted to check if it is known. I don't 
> see anything in the bug tracker.
> 
> Mike
> 
> 
> 
> -------------------------------------------------------
> Using Tomcat but need to do more? Need to support web services, security?
> Get stuff done quickly with pre-integrated technology to make your job 
> easier
> Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo
> http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

>>>>> "Michael" == Michael P Mossey <mo...@jp...> writes:

    Michael> I'm using this aspect mode: axes.set_aspect( 'equal',
    Michael> adjustable='datalim' )

    Michael> With several xy line plots on the axes, autoscaling
    Michael> doesn't seem to occur properly. It cuts off part of the
    Michael> data. Is this a known issue? I don't have a simple script
    Michael> to replicate it---I'll have to pull that out of a larger
    Michael> program---but just wanted to check if it is known. I
    Michael> don't see anything in the bug tracker.

matplotlib version number?  a lot of work as been done quite recently
on aspect handling.  You should test against the latest svn and then
post a complete example describing what is wrong if you are
unsatisfied.

JDH

I'm using this aspect mode:

       axes.set_aspect( 'equal', adjustable='datalim' )

With several xy line plots on the axes, autoscaling doesn't seem to 
occur properly. It cuts off part of the data. Is this a known issue? I 
don't have a simple script to replicate it---I'll have to pull that out 
of a larger program---but just wanted to check if it is known. I don't 
see anything in the bug tracker.

Mike