Andy McDonagh wrote: > Dear python experts, > > I am new to python and this site, so I apologize if this is off topic (i.e. > is it a SciPy question?). I will try to demonstrate my problem below: > -------------------------------------------------------- > #!/usr/local/bin/python > > from scipy import * > from scipy.stats import * > a=norm(loc=0,scale=1) > a_data = a.rvs(10) > > problem = zeros(10) > print problem > > h_x1_x2 = -sum(problem * log2(a_data)) > > print h_x1_x2 > #NaN > ---------------------------------------------------------- > > I need a way of handling NaNs for example R has the 'na.omit' option. Does > anybody know if this exists?
How do you want to handle them? But you will be better off asking on the numpy or scipy lists: http://scipy.org/Mailing_Lists -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco -- http://mail.python.org/mailman/listinfo/python-list
