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Let B be the matrix defined as follows. B= np. arange (1,10). reshape (3,3) (a) Complete the code below to create a function that finds

image text in transcribed Let B be the matrix defined as follows. B= np. arange (1,10). reshape (3,3) (a) Complete the code below to create a function that finds the Lp norm of the matrix B. def LP_norm(matrix, p) : norm =0 row, col=matrix. shape for r in range (row): for c in range (co1) : \#\# MISSING LINE IS FERE return normik* (1/p) Enter the missing line into the answer box below. (b) What is the L4 norm of the matrix B ? (c) Using numpy methods, complete the code below by writing a single line of code which returns the the LP norm of the matrix B. def LP_norm_numpy (matrix,p): return \#\# MSSIM CODE IS FERE

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