On 05/31/2011 05:50 AM, Benjamin Root wrote: > > > On Tue, May 31, 2011 at 10:34 AM, Mannucci, Anthony J (335G) > <anthony.j.mannu...@jpl.nasa.gov > <mailto:anthony.j.mannu...@jpl.nasa.gov>> wrote: > > The following program seems to work with contour/contourf. However > the documentation for the contourf function states > > contour(X,Y,Z) > > "/X/, /Y/, and /Z/ must be arrays with the same dimensions." > > I am finding that contour works if the dimension of X and Y are 1, > but Z must be two-dimensional. The following program seems to bear > this out. Are the arrays x and y below two-dimensional, or is the > documentation misleading? Thanks for your help. > > import numpy as N > import pylab as PLT > > lons = N.linspace(-5.,5.,5) # Is this a one or two dimensional array? > lats = N.linspace(-3.,3.,4) > > z = N.zeros((len(lats), len(lons))) > for i in range(len(lons)): > for j in range(len(lats)): > z[j,i]=i+j > > PLT.clf() > PLT.contourf(lons,lats,z) > PLT.colorbar() > PLT.show() > > -Tony > > > Tony, > > contour and contourf seems to take advantage of numpy's broadcasting > feature, so it is probably more correct to say that X and Y must be at > least broadcastable to the shape of Z. I think there are a number of
Not quite; if x and y are 1-D, meshgrid is called to make 2-D versions, which must then match Z. Broadcasting is not used or supported. So, the contour docstring was not updated when this functionality was added, long ago. Consider it an undocumented feature, in need of documentation. Eric > functions where this may or may not be true, and at some point we (the > developers) should agree on basic input array handling and make it > consistent across all plotting functions. > > So, technically speaking, the docs are "right", but should be clearer in > this case. I will add it to my doc-fixing commit that I will do today. > > Ben Root > > > > ------------------------------------------------------------------------------ > Simplify data backup and recovery for your virtual environment with vRanger. > Installation's a snap, and flexible recovery options mean your data is safe, > secure and there when you need it. Data protection magic? > Nope - It's vRanger. Get your free trial download today. > http://p.sf.net/sfu/quest-sfdev2dev > > > > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Simplify data backup and recovery for your virtual environment with vRanger. Installation's a snap, and flexible recovery options mean your data is safe, secure and there when you need it. Data protection magic? Nope - It's vRanger. Get your free trial download today. http://p.sf.net/sfu/quest-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
