On Sunday 16 July 2006 19:38, Webb Sprague wrote: > I have data with missing values represented by nans (like array([1.0, > nan, 3.0]) that I am plotting with pylab.semilogy().
Please transform your array in a MaskedArray. import numpy as N masked_x=N.ma.masked_where(N.isnan(x),x) That should do the trick. Cf http://www.scipy.org/Cookbook/Matplotlib/Plotting_values_with_masked_arrays ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
