Hi Giuseppe, As far as I understand you are looking for numpy.meshgrid, e.g.
# grid in x- direction x = np.linspace(0, 1, 10) # grid in y-direction y = np.arange(5) # generate 2D-vectors out of x and y x, y = np.meshgrid(x, y) print np.shape(x) print np.shape(y) Furthermore you have to reshape your z-data accordingly, e.g. z = np.reshape(z, np.shape(x)) or transposed ... this depends on the storage of your data kind regards Matthias On Wednesday 09 September 2009 12:02:31 Giuseppe Aprea wrote: > Hi list, > > I have some files with data stored in columns: > > x1 y1 z1 > x2 y2 z2 > x3 y3 z3 > x4 y4 z4 > x5 y5 z5 > ....... > > and I need to make a contour plot of this data using matplotlib. The > problem is that contour plot functions usually handle a different kind > of input: > > X=[[x1,x2,x3,x4,x5,x6], > [x1,x2,x3,x4,x5,x6], > [x1,x2,x3,x4,x5,x6],... > > Y=[[y1,y1,y1,y1,y1,y1], > [y2,y2,y2,y2,y2,y2], > [y3,y3,y3,y3,y3,y3],..... > > Z=[[z1,z2,z3,z4,z5,z6], > [z7,z8,zz9,z10,z11,z12],.... > > I usually load data using 3 lists: x, y and z; I wonder if there is > any function which is able to take these 3 lists and return the right > input for matplotlib functions. > > cheers > > giuseppe > ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
