# DS-1000 / 454

task_id: 4d4d788d-01c6-54bd-aa24-2b4ce00cb22e
task_key: default--test--454
task_revision_id: 1

{"library":"Numpy","prompt":"Problem:\nGiven a 2-dimensional array in python, I would like to normalize each row with L∞ Norm.\nI have started this code:\nfrom numpy import linalg as LA\nX = np.array([[1, 2, 3, 6],\n              [4, 5, 6, 5],\n              [1, 2, 5, 5],\n              [4, 5,10,25],\n              [5, 2,10,25]])\nprint X.shape\nx = np.array([LA.norm(v,ord=np.inf) for v in X])\nprint x\nOutput:\n   (5, 4)             # array dimension\n   [6, 6, 5, 25, 25]   # L∞ on each Row\nHow can I have the rows of the matrix L∞-normalized without using LOOPS?\nA:\n<code>\nfrom numpy import linalg as LA\nimport numpy as np\nX = np.array([[1, -2, 3, 6],\n              [4, 5, -6, 5],\n              [-1, 2, 5, 5],\n              [4, 5,10,-25],\n              [5, -2,10,25]])\n</code>\nresult = ... # put solution in this variable\nBEGIN SOLUTION\n<code>\n"}

Source: https://ds1000-code-gen.github.io/

initial import

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