I need to generate a fairly complex chart, for which I need the ability to
specify not only subplots, but also sub-subplots. (Our group has found such
charts useful in the past, but they were generated using horrific MATLAB
code, which we're trying to get away from as quickly as we can, not only
because the code is impenetrable, but because the MATLAB GUI is unstable,
and produces very poor results when we try to print the charts.)
I'll try to describe what I want to do in a bit more detail (it's messy).
First imagine a simple plot (just a simple X-Y line graph connecting 3-4
datapoints). I'll call this a level-0 plot. Now, join ~10 of these level-0
plots side-by-side (with no space between the plots). This new aggregate is
a level-1 plot. Next stack ~10 level-1 plots vertically, again, with no
space between them. The resulting aggregate is a level-2 plot. Finally
arrange ~10 of these level-2 plots side-by-side, with some spacing between
them. The desired final product is this level-3 plot.
(In practice, the numbers of elements within each aggregate is not exactly
10. For example, for my immediate application the numbers would be 8
level-0 plots per level-1 plot; 17 level-1 plots per level-2 plot; and 8
level-2 plots per level-3 plot. The level-0 plots should have an aspect
ratio (H:W) of 4. Therefore, the level-2 plots will have an aspect ratio of
almost 8.)
How can I achieve this?
Thanks!
~kj
P.S. Without knowing much about the internals of matplotlib, it seems to me
that the best way to do this would be to define a container class that can
have itself as one of the contained elements. In this way, a containment
hierarchy of arbitrary depth could be defined. I understand that in matplot
lib Figure objects can contain Axes objects. Can they also contain other
Figure objects? If not, what would be required to enable this capability?
Any comments or suggestions on what it would take to do this would be
appreciated.
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