This is an efficient function for rescaling n-dimensional arrays.
def rescale( data, newmin, newmax ):
oldmin, oldmax = np.min( data ), np.max( data )
newscale = float( newmax - newmin )
oldscale = float( oldmax - oldmin )
if oldscale == 0: return None
ratio = float( newscale / oldscale )
c = data.copy()
c -= oldmin
c *= ratio
c += newmin
return c
Tuesday, December 20, 2011
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