On 3/6/07, Alan G Isaac <[EMAIL PROTECTED]> wrote: > On Tue, 6 Mar 2007, Sebastian Haase apparently wrote: > > why does > > numpy.round(a) > > return a float ? > > Because it works with a copy of a. > > >>> help(N.round) > Help on function round_ in module numpy.core.fromnumeric: > round_(a, decimals=0, out=None) > Returns reference to result. Copies a and rounds to 'decimals' places. > > Keyword arguments: > decimals -- number of decimal places to round to (default 0). > out -- existing array to use for output (default copy of a). > > Returns: > Reference to out, where None specifies a copy of the original array a. > >>> a = N.random.random((10,))*100 > >>> a > array([ 45.01971148, 8.32961759, 39.75272544, 79.76986159, > 23.66331127, 24.25584246, 38.17354106, 16.57977389, > 50.63676986, 83.15113716]) > >>> b = N.empty((10,),dtype='int') > >>> N.round(a,out=b) > array([45, 8, 40, 80, 24, 24, 38, 17, 51, 83]) > >>> b > array([45, 8, 40, 80, 24, 24, 38, 17, 51, 83]) > > > Cheers, > Alan Isaac >
Would it be a useful / possible enhancement to add an additional dtype argument to round !? So that if out is not given, but dtype is given (e.g. as N.int) the "copy-array" is created with that dtype ? Just a thought -- otherwise I might add it to my personal collection of "useful" functions. Thanks, Sebastian Haase _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
