Hello, a piece of my code started giving strange results with certain data; i managed to track down the cause to a slice array assignment. In the following code snip; 'mat' is a numpy.array with shape=(22973, 1009), 'vec' is a numpy.array with shape=(22973,), both of type int:
for i in xrange(1009): ... fr = vec[10001] mat[:, i] = vec # assign whole column if mat[10001, i] != fr: print "how come?" ... for elements beyond index 10000, nothing is assigned (ie, numpy.sum(mat[row, :]) is zero for any row > 10000). As soon as i replace the assignment with a cycle that assigns each element explicitly (for j in xrange(22973): result[j, i] = vec[j]), everything's OK. With some matrices, the above seems to work fine though, as well as for smaller dimensions, so i am unable to provide a full simple example. Any ideas? I am using enthought python (python 2.4.3) which uses numpy version 0.9.9. ------------------------------------------------------------------------- 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