Hi everyone, This was reported yesterday as a bug in Debian's numpy package:
>>> len(numpy.arange(0, 0.6, 0.1)) == len(numpy.arange(0, 0.4+0.2, 0.1)) False The cause is this: >>> ceil((0.4+0.2)/0.1) 7.0 >>> ceil(0.6/0.1) 6.0 which holds for both numpy's and the standard library's ceil(). Using arange in this way is a fundamentally unreliable thing to do, but is there anything we want to do about this? Should numpy emit a warning when using arange with floating point values when (stop-start)/step is close to an integer? -- Ed _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
