# DS-1000 / 477

task_id: 82dec25f-929e-51c2-8032-d3d127d636fc
task_key: default--test--477
task_revision_id: 1

{"library":"Numpy","prompt":"Problem:\nI am using Python with numpy to do linear algebra.\nI performed numpy SVD on a matrix `a` to get the matrices U,i, and V. However the i matrix is expressed as a 1x4 matrix with 1 row. i.e.: [ 12.22151125 4.92815942 2.06380839 0.29766152].\nHow can I get numpy to express the i matrix as a diagonal matrix like so: [[12.22151125, 0, 0, 0],[0,4.92815942, 0, 0],[0,0,2.06380839,0 ],[0,0,0,0.29766152]]\nCode I am using:\na = np.matrix([[3, 4, 3, 1],[1,3,2,6],[2,4,1,5],[3,3,5,2]])\nU, i, V = np.linalg.svd(a,full_matrices=True)\nSo I want i to be a full diagonal matrix. How an I do this?\nA:\n<code>\nimport numpy as np\na = np.matrix([[3, 4, 3, 1],[1,3,2,6],[2,4,1,5],[3,3,5,2]])\nU, i, V = np.linalg.svd(a,full_matrices=True)\n</code>\ni = ... # put solution in this variable\nBEGIN SOLUTION\n<code>\n"}

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