in np.histogram the top-most bin edge is inclusive of the upper range limit. As documented in the docstring (see below) this is actually the expected behavior, but this can lead to some weird enough results:
In [72]: x=[1, 2, 3, 4]; np.histogram(x, bins=3) Out[72]: (array([1, 1, 2]), array([ 1., 2., 3., 4.])) Is there any way round this or an alternative implementation without this issue ? Currently it seems you have to explicitly specify a range with an extra bin at the high end: In [77]: x=[1, 2, 3, 4]; np.histogram(x, bins=4, range=[1, 5]) Out[77]: (array([1, 1, 1, 1]), array([ 1., 2., 3., 4., 5.])) ''' Notes ----- All but the last (righthand-most) bin is half-open. In other words, if `bins` is:: [1, 2, 3, 4] then the first bin is ``[1, 2)`` (including 1, but excluding 2) and the second ``[2, 3)``. The last bin, however, is ``[3, 4]``, which *includes* 4. ''' -- thanks, peter butterworth _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion