Hi Jerzy, On 14 February 2012 16:03, Jerzy Karczmarczuk wrote: > Andrea Gavana : >> after some great help from the Numpy users list, I have managed to >> create "parallel curves". >> >> >> But I can't really do that with the set of data I have, as the X and Y >> variables have different order of magnitude and I need a single >> subplot on the figure to have rectangular axes (not square). > (...) >> So, my question would be: how do I scale the >> X and Y vectors so that the parallels look parallel to the main curve >> even if the axes are not square and the X and Y variables have >> different data-ranges/magnitudes? > Andrea, you have TWO problems. > > The first is to scale your offset according to your axes range. This can > be done using ax.get_data_ratio(). In your case you will get 5, and this > factor should enhance your vertical offset wrt. the horizontal. > (Or, use .get_xlim() and .get_ylim() and do the computations yourself).
Thank you for your answer, I have implemented this and it looks a bit better (on the real X/Y pairs I have). > The second problem is that your FIGURE scales your plot visually, > independently of your axes, so without special scaling it will have > different aspects according to your manipulation. An arbitrary affine > transform will keep straight lines parallel, but no chance with > arbitrary curves. You may play with fig.get_figwidth(), etc., but here > my digging stops. Will this argument still stand if I am only interested in a single figure size (maximized window on my screen, plus set_size_inches(20, 12)) and fixed axes positions (set by figure.subplots_adjust)? If not, should the further scaling simply be the ratio between the x-axis extent and y-axis extent (in pixels)? Or am I missing something (again)? Thank you in advance for your suggestions. Andrea. "Imagination Is The Only Weapon In The War Against Reality." http://xoomer.alice.it/infinity77/ ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
