On Sun, Oct 25, 2009 at 7:30 PM, George Nurser wrote:
> it seems a pity that
> fig.add_axes can't accept the transform directly.
While this is certainly possible, but it is a bit tricky to get it
correct due to the underlying design of the matplotlib. On the other
hand, I think it solves some pro
Hi,
The excellent transformations tutorial
http://matplotlib.sourceforge.net/users/transforms_tutorial.html
explained exactly what I needed to do to include inserts in my figures.
Furthermore, it suggested to me that I should be able to do without
some very ugly code I had written to convert the bo
Hi JJ
On Monday, 23 February 2009, Jae-Joon Lee wrote:
> Here is my modification.
>
> Bbox = matplotlib.transforms.Bbox.from_bounds(.4, .1, .5, .3)
> trans = ax.transAxes + fig.transFigure.inverted()
> l, b, w, h = matplotlib.transforms.TransformedBbox(Bbox,
> trans).bounds
> axin
Here is my modification.
Bbox = matplotlib.transforms.Bbox.from_bounds(.4, .1, .5, .3)
trans = ax.transAxes + fig.transFigure.inverted()
l, b, w, h = matplotlib.transforms.TransformedBbox(Bbox, trans).bounds
axins = fig.add_axes([l, b, w, h])
On Mon, Feb 23, 2009 at 2:49 PM, Joha
Johann Rohwer wrote:
I'm trying to insert a custom set of axes within a subplot, much like
the axes_demo.py. Only difference is, now I want an inset graph
inside each of a number of subplots. Using ASCII art, much like the
following:
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I'm trying to insert a custom set of axes within a subplot, much like
the axes_demo.py. Only difference is, now I want an inset graph
inside each of a number of subplots. Using ASCII art, much like the
following:
|---|
| |
| |
|