On Apr 9, 2:58 am, Neil Crighton <neilcrigh...@gmail.com> wrote: > Carl Banks <pavlovevidence <at> gmail.com> writes: > > > > >>> condition = (min_time <= time) & (time <= max_time) > > > >>> new_time = time[condition] > > > >>> new_energy = energy[condition] > > > Won't work: condition is an array of ones and zeros, but you need to > > index the arrays with indices. So, add a call to nonzero to get the > > indices of the elements. > > > elements = nonzero(logical_and(min_time<=time,max_time>=time)) > > > new_time = time[elements] > > new_energy = energy[elements] > > It will work - try it :) > > You can index numpy arrays with either an array of indices (dtype integer) > ,or a boolean array (dtype bool). In the case above condition is a boolean > array. In general using a boolean array is faster, because you skip the call > to nonzero().
New to me. Thanks for the tip. Carl Banks -- http://mail.python.org/mailman/listinfo/python-list
