Travis Oliphant schrieb:
> > You can use a masked array specifically, or use nan's for missing values > and just tell Python you want a floating-point array (because it finds > the None object it's guessing incorrectly you want an "object" array. > > asarray(x, dtype=float) > > array([[ 1. , nan], > [ 2. , 3. ]]) > Is there anything else besides None which is recognized/converted to numpy.nan? Put differently, where can I find documentation about basic nan definition and handling in numpy? (I have the numpy book which covers isnan etc., when you have the nans already set up.) I was also a bit surprised at the following behavior: >>> a = numpy.asarray([1,1]) >>> a array([1, 1]) >>> a[0]=numpy.nan >>> a array([0, 1]) Is this a bug or intended? Thanks, Sven 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 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
