thanks for your reply, helpful as usual
> Firstly, good luck with the book.
> The sort of book I'd buy would explain how to use the combination of
> matplotlib/ipython/scipy/numpy to analyse data.
Sadly, that would not the book I'll write The editor wanted to
target another audience for the book: experienced python developers,
with no knowledge of matplotlib; so an introductionary book, that will
show even how to integrate mpl on GTK/WX application and on the web.
I pushed to have something about science, and a chapter will be about
that, but I need your (all) inputs, because my science days are long
back in the past
Sure - though anyone wanting to use matplotlib is likely to be
acquiring, manipulating and then plotting data.
>> - what are the (basic) things that, when you were beginning to use
>> matplotlib, you wanted to see grouped up but couldn't find?
>> - what would you like to see in a book about matplotlib?
> Start off by reading data from a file, plotting it and fitting a
> function to that data.
That sounds something that could land in the "science" chapter.
> Plotting with related scales
> Sometimes it is useful to plot related scales on x1 and x2 axes. I've
> come across this several times in different contexts. In its simplest
> form, there is a linear relationship between the axes. In a mechanical test, you might want extension on the x1 axis and strain on the x2 axis (for example).
> Sometimes there is not a linear relationship. For example you might
> want to plot frequency (or photon energy) on x1 and wavelength on x2.
> An even more complex example is a Hall-Petch plot:
> (Yield Stress) = k/sqrt(Grain Size)
> So plotting 1/Sqrt(Grain Size) on the X1 axis gives a linear
> plot, but it would be useful to plot the grain size on the X2 scale.
Err, I think I lost you
Figure 3b/3c at
is an example - note that the y2 scale is not linear.
What you want is 2 plots on the same figure? so not 2 Ys for the same
2 scales on the same figure, yes.
(let's say X is time, and Y1 is stock price variation, and Y2 is the
percentage change), you want X1-Y1 (let's say on the bottom-left) and
X2-Y2 (on the upper-right): did I get you?
is the sort of thing I had in mind.
> ipython and emacs
> Suppose I want to write a script to analyse some data (perhaps I want
> a record of what I've done, or perhaps I'd like to perform the same
> analysis on several data sets). I'd probably do so in emacs - but it
> is useful to do some experimentation in ipython - tab completion is
> particularly useful. I feel there must be a good way to do my
> experimentation in ipython and save the important bits in emacs - but
> I've not sat down and worked out an efficient way of doing this.
I think the preferred way to do so it using ipython, and for now I
plan only to show it on the book.
Whether or not this make it into the book, I'm interested in how
people do this. Surely you don't write your application using just
ipython do you?
> Data aqcuisition and experimental control:
> Writing a simple application to acquire data - ideally from multiple
> sources and plot the data as it is acquired. In my case I wanted to
> combine mechanical with electrical tests. A couple of interesting
> articles by G Varoquaux are listed at
> This is perhaps beyond the scope of the book, but it has come up on
> the mailing lists a couple of times. The ideal application would have
> a gui for simple use, but a command line (probably ipython) for more
> more complex use - perhaps performing a series of tests under
> different conditions.
I thought about an example for this already!
I thought to develop a
sample application for GTK/WX that display some system value (like cpu
usage or so, in this way everyone can run the example) plotting the
information as it comes (for 30 secs, for example).
One of the things I liked about Gael's article was its discussion of
threading - separating the gui from the calculations from the data
> Some discussion of plotting non gridded 2d data should also be in
It is something I have encountered several times.
Another example I had in mind is:
I've taken similar measurements in the past - and one often takes
measurements equally spaced in real space which results in them not
being equally spaced in reciprocal space.
>> Your suggestions are really appreciated And wish me good luck!
> I don't think it is the thrust of your book, but another book I was
> looking for is "A cookbook of Numerical simulations of classic
> physics/engineering problems". For use by physicists/engineers who
> don't want to rewrite things from scratch.
As said, even if my degree is in linear algebra, my science days are
gone, so it won't be in the book, if not for that chapter about
science and mpl.
It is worth a book in itself.
> Good luck.
Another thing that springs to mind is to mention the
distributed/parallel abilities of the latest version of
ipython. Given the thrust of your book, then perhaps it won't make
it in though.
 Unfortunately ipython 0.9.1 won't make Debian lenny - scheduled to
be released real soon now - but will perhaps be out there when your
book is published.
On Sun, Feb 01, 2009 at 11:59:06PM +0100, Sandro Tosi wrote:
On Fri, Jan 30, 2009 at 18:59, Chris Walker > <chrisw@...869...> wrote: