so, I didn't notice the axes.set_anchor method. This will do the trick. Chao
wiswit wrote: > > 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 > -- > *********************************************************************************** > 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 > ************************************************************************************ > > ------------------------------------------------------------------------------ > Live Security Virtual Conference > Exclusive live event will cover all the ways today's security and > threat landscape has changed and how IT managers can respond. Discussions > will include endpoint security, mobile security and the latest in malware > threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- View this message in context: http://old.nabble.com/confusion-with-axes.set_ratio-tp34006883p34011256.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
