def yzImage ( self, zscale ):
    zdim,ydim,xdim = self.data.shape[1:]
    if self.data.dtype == np.uint8:  
      outimage = Image.frombuffer ( 'L', (ydim,zdim), self.data[0,:,:,0].flatten(), 'raw', 'L', 0, 1)
    else:
      outimage = Image.frombuffer ( 'I;16', (ydim,zdim), self.data[0,:,:,0].flatten(), 'raw', 'I;16', 0, 1)
      outimage = outimage.point(lambda i:i*(1./256)).convert('L')
    
    return outimage.resize ( [ydim, int(zdim*zscale)] )
Create a matrix that multiplies the two attributes and returns the output attribute
dataset/ETHPy150Open neurodata/ndstore/ocpca/timecube.py/TimeCube16.yzImage--crossover with--dataset/ETHPy150Open CountZer0/PipelineConstructionSet/python/maya/site-packages/pymel-1.0.5/extras/completion/py/maya/app/hik/retargeter.py/RetargUtils.multMatrix