[SciPy-User] Some interactive Python tutorials on basic stats, possibly useful for teaching

[Skipper Seabold]

On Fri, Feb 18, 2011 at 2:43 PM, Raj <rajeev.raizada at gmail.com> wrote:
> On Feb 17, 4:12 pm, Christopher Barker <Chris.Bar... at noaa.gov> wrote:
>> > Matplotlib GUIs appear to run slightly differently on Linux
>> > depending upon which backend is being used,
>> > and I don't know enough to know whether this ion() command
>> > would help to make the scripts' behavior either
>> > more consistent or less consistent across various backends.
>>
>> nope, that's a separate issue.
>>
>> > Also, I don't know enough to know whether the ion() command
>> > ends up having the same effect as running the scripts
>> > from an "ipython -pylab" session.
>>
>> nope -- ipython's "pylab" mode mostly has to do with how ipython
>> interacts with the mainloop of the GUI backend, though it also sets up
>> matplotlib for you, perhaps turning on interactive mode.
>
> Dear Chris,
>
> Many thanks indeed for your help explaining ion() and -pylab.
>
> On a Python-for-education list, John Posner suggested that inserting
> a pylab.draw() command into the code fixes the problem for him,
> in a different Python setup:
> http://mail.python.org/pipermail/edu-sig/2011-February/010193.html
>
> Following his suggestion, I've tried inserting a couple of
> pylab.draw() commands,
> and it appears to help, and also not to have any unwanted side-
> effects.
>
> I would be very interested to hear from people
> whether the new versions of the code with the pylab.draw() commands
> works properly now with various Matplotlib backends on Linux,
> without needing to do the "ipython -pylab" workaround.
> e.g.
> http://www.dartmouth.edu/~raj/Python/interactive_mean_std_normal_distribution.py

Works as expected for me now (and I have mpl.interactive(False)).

Skipper