Your syntax is not as intuitive as you may think. Suppose I take a matrix instead
a = np.array([1,2,3,4]).reshape(2,2) b = (a>1) # np.array([[False,True],[True,True]]) How would a[b,np.newaxis] be supposed to work? Note that other (simple) slices work perfectly with newaxis, such as a[:1,np.newaxis] == Olivier On 19 August 2011 17:50, Benjamin Root <ben.r...@ou.edu> wrote: > I could have sworn that this use to work: > > import numpy as np > a = np.random.random((100,)) > b = (a > 0.5) > print a[b, np.newaxis] > > But instead, I get this error on the latest master: > > Traceback (most recent call last): > File "<stdin>", line 1, in <module> > TypeError: long() argument must be a string or a number, not 'NoneType' > > Note, the simple work-around would be "a[b][:, np.newaxis]", but I can't > imagine why the intuitive syntax would not be valid. > > Thanks, > Ben Root > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
