 # default tick behaviour

I haven't been using the pan and zoom stuff very much,

> the issues I described this week are all from initial
> plots. If I had been doing more zooming then I would have
> distracting. It's fiddly stuff, but getting it right
> helps a lot when interpreting results from plots!

OK, I think my approach will be to optimize the number of ticks, tick
locations and view limits on the initial plot and then fix num ticks
for interactive mode (pan/zoom). Ie, the initial guess should be
good, but with interaction, you're on your own. I'll send you some
code when I get this figured out.

>> Ie, ignore the end point is the default behavior of python.

> I guessed as much. But I think in this case the python
> behaviour needs to be over-ridden. Python range logic is
> generally about integers, arange stretches it, and using
> this [) style range for plots over-stretches the
> principle beyond usefulness. There are also a couple of

Yes, but I can defend myself! From the first line of the homepage

matplotlib is a pure python 2D plotting library with a Matlab
syntax

Ie, matplotlib does contain inherent contradictions because it is both
matlab-like and python-like. matlab has FORTRAN style indexing
(starts with 1) and python has C style indexing (starts with 0). So
the first matplotlib figure starts with figure(1). When using the
matlab interface matplotlib.matlab, I strive for matlab compatibility.
Thus, when you set the axis limits with

axis([0, 2, -1, -1])

or

set(gca(), 'xlim', [0, 2])

I do it like matlab does, ie, endpoints inclusive.

However, I plead innocence in the case of

t = arange(0.0, 2.0, 0.1)
s = sin(2*pi*t)
plot(t, s)

If the arrays t and s passed to the plot function do not have the
point at t=2.0 defined, "plot" can't guess them. I plot the points
you give me. Note that matplotlib *does* provide the matlab function
"linspace", which returns an evenly sampled array, endpoints included.
So if you want matlab-like behavior you should use matlab-like array
functions (linspace) rather Numeric python array functions (arange) to