Search the internet for Proxy Artists in the legend. -Sterling ----- Original Message ----- > From: "Eric Emsellem" <[email protected]> > To: [email protected] > Sent: Wednesday, July 12, 2017 8:18:28 AM > Subject: [Matplotlib-users] Creating custom markers as the union of complex > vertices
> Hi > > I have been looking for an elegant/simple (working!) solution to create > new complex markers for matplotlib. > > For example, I would like to design a new marker which is the union of a > set of vertices, for example (just an example), two petals which are > symmetric (see verts1 and verts2) and two lines above and below (see > verts3, and verts4). I would also like to have the petal possibly filled > (or not) and the edgecolor of each vertices with possibly various > colours (one petal is blue, the other is orange). How should I proceed? > > A naive way forward is to do something like (for a double petal, the > left one not being filled up, the right one being filled, see the > definition for verts1, verts2, verts3, verts4 below): > > ## Code > x = rand(10) > y = rand(10) > verts = [verts1, verts2, verts3, verts4] > fc = ['k', 'None', 'None', 'None'] > ec = ['b', 'orange', 'k', 'k'] > > for lverts, lfc, lec in list(zip(verts, fc, ec)) : > scatter(x, y, marker= (lverts, 0), facecolor=lfc, edgecolor=lec, > s=1000, label='My symbol') > > ==> HOWEVER, since these are done in a for loop, it is not considered as > a single marker when I do, for example, : > > legend(loc=0) > > QUESTION: how should I manage this? (couldn't find the answer on the net) > > Suggestion are most welcome! > > Thanks! > Eric > ====================================== > ###### Definition for the vertices > if 1: > # verts1: > size, angrad = 10., 0. > rx = 4. * size > theta = np.linspace(-pi / 4., pi / 4., 151) > x = rx*np.sqrt(cos(2.*theta))*cos(theta) > y = rx*np.sqrt(cos(2.*theta))*sin(theta) > rotx = x * cos(angrad) + y * sin(angrad) > roty = -x * sin(angrad) + y * cos(angrad) > verts1 = list(zip(rotx,roty)) > > # verts2: > size, angrad = 10., np.pi > rx = 4. * size > theta = np.linspace(-pi / 4., pi / 4., 151) > x = rx*np.sqrt(cos(2.*theta))*cos(theta) > y = rx*np.sqrt(cos(2.*theta))*sin(theta) > rotx = x * cos(angrad) + y * sin(angrad) > roty = -x * sin(angrad) + y * cos(angrad) > verts2 = list(zip(rotx,roty)) > > # verts3 > verts3 = list(zip([0.,0.],[0,0.1])) > > # verts4 > verts4 = list(zip([0.,0.],[-0.1,-0.03])) > > ------------------------------------------------------------------------------ > Check out the vibrant tech community on one of the world's most > engaging tech sites, Slashdot.org! http://sdm.link/slashdot > _______________________________________________ > Matplotlib-users mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Check out the vibrant tech community on one of the world's most engaging tech sites, Slashdot.org! http://sdm.link/slashdot _______________________________________________ Matplotlib-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
