given matrix:
x = matrix([[ 0.9, 0.14], [ 0.15, 0.8]])
how can you make the first column, x[:,0], into a diagonal matrix in nump
numpy.diag( x.A[ :, 0 ] )
should do it.
The difference between a matrix and an array is crucial here. You won't get the same result from just numpy.diag( x[ :, 0 ] ). x.A is a shorthand for numpy.asarray( x ) when x is a matrix.
So by the same token, to answer your question precisely I guess I shouldn't forget convert the answer from an array back to a matrix:
numpy.matrix( numpy.diag( x.A[ :, 0 ] ) )