Dear all,
asking question in a good way is art and I am trying to do that :-). I
spent whole day trying to put an inset axes within another hosting axes the
exact position I want.
and from here
http://old.nabble.com/Adding-custom-axes-within-a-subplot-td22159536.html
Jae-Joon
Lee <http://old.nabble.com/user/UserProfile.jtp?user=1141641> gave a good
answer using only four lines:
Bbox = matplotlib.transforms.Bbox.from_bounds(.4, .1, .5, .3)
#numbers in fraction of hosting axes
trans = ax.transAxes + fig.transFigure.inverted()
l, b, w, h = matplotlib.transforms.TransformedBbox(Bbox, trans).bounds
axins = fig.add_axes([l, b, w, h])
It works fine. Now my question is I want inset axes to have 'equal' aspect
because I want 1:1 ratio plot. and I found that using
axins.set_aspect('equal')
will change the position of the inset axes. Then I tried to adjust the
width and height of inset axes with the hosting axes aspect ratio before I
draw it so that
I would expect they look already "aspect-equal" before I feed data to it.
So my first question is, How can I get the axes aspect ratio,
axes.get_aspect() and axes._aspect both give only 'auto' but not numerical
value.
(I assume it's height/width ratio in terms of figure fraction or it's
inverse?, I tried this but it doesn't work.)
another side-question, I have a feeling that understanding transform is of
great value working with matplotlib. But I don't understand the
four lines above, and I can not find further information either in the
matplotlib document or online. Is there any source except having
dig into source code? thanks!!!!!!!!
I make an example script below to show the problem (long but easy). I hope
someone could offer some help. :-)
###script showing the problem
fig=plt.figure()
#plot two subplot to have ax aspect far from 'equal'
ax=fig.add_subplot(211)
a=np.arange(0,2*np.pi,0.1)
ax.plot(a,np.sin(a))
def create_inset_axes(x0,y0,width,height): #the four numbers are
x0,y0,width,height
Bbox = matplotlib.transforms.Bbox.from_bounds(x0,y0,width,height)
trans = ax.transAxes + fig.transFigure.inverted()
l, b, w, h = matplotlib.transforms.TransformedBbox(Bbox, trans).bounds
return fig.add_axes([l, b, w, h])
def get_axes_aspect_ratio(ax):
box=ax.get_position()
ratio=(box.x1-box.x0)/(box.y1-box.y0)
return ratio
axins=create_inset_axes(0.1,0.05,0.2,0.2)
axins.plot(np.arange(10),'ro')
ax.text(0.35,0.15,'no any adjustment',transform=ax.transAxes)
axins=create_inset_axes(0.1, 0.3, 0.2, 0.2)
axins.plot(np.arange(10),'ro')
axins.set_aspect('equal')
ax.text(0.35,0.4,'explicitly set aspect as equal',transform=ax.transAxes)
axins=create_inset_axes(0.1, 0.55, 0.2, 0.2*ratio) #adjust the height by ax
axes width/height ratio
axins.plot(np.arange(10),'ro')
ax.text(0.35,0.7,'adjust with hosting axes width/length
ratio',transform=ax.transAxes)
cheers,
Chao
--
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Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
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