Hi All, after the discussion on numpy.correlate some time ago, regarding complex conjugation, etc. I today was pointed to yet another oddity, which I hope somebody could explain to me, as to why that's a feature, rather than a bug. I'm thoroughly confused by the following behaviour:
In [29]: x = array([0.,0.,1, 0, 0]) In [30]: y = array([0, 0, 0, 1., 0, 0, 0]) In [31]: correlate(x,y) Out[31]: array([ 0., 1., 0.]) In [32]: correlate(x,y, mode='full') Out[32]: array([ 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.]) In [33]: y = array([0,0,1.,0,0]) In [34]: correlate(x,y,mode='full') Out[34]: array([ 0., 0., 0., 0., 1., 0., 0., 0., 0.]) So far, everything is allright and as expected. Now: In [35]: y1 = array([1,0,0,0,0]) In [36]: correlate(x,y1,mode='full') Out[36]: array([ 0., 0., 0., 0., 0., 0., 1., 0., 0.]) In [37]: y2 = array([1,0,0,0,0,0,0]) In [38]: correlate(x,y2,mode='full') Out[38]: array([ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.]) Could somebody please help me understanding, why the one switches places? Furthermore, this behaviour does not seem to be very consistent, if we switch the x and y argument: In [39]: correlate(y2,x,mode='full') Out[39]: array([ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.]) In [40]: correlate(y1,x,mode='full') Out[40]: array([ 0., 0., 1., 0., 0., 0., 0., 0., 0.]) The answer remains the same. Any help would be appreciated, the numpy version is 1.0.4. Best regards, Hanno -- Hanno Klemm [EMAIL PROTECTED] _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
