> > I have two integer arrays of different shape, e.g. > > > > >>> a > > > > array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) > > > > >>> b > > > > array([ 3, 4, 5, 6, 7, 8, 9, 10]) > > > > How can I extract the values that belong to the array a > > exclusively i.e. array([1,2]) ? >
You could also use numpy.setmember1d to get a boolean mask that selects the values: In [21]: a = np.array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) In [22]: b = np.array([ 3, 4, 5, 6, 7, 8, 9, 10]) In [23]: ismember = np.setmember1d(a,b) In [24]: a[~ismember] Out[24]: array([1, 2]) Neil _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
