Use np.min to get the minimal value for each column. col_min should be used to save the output. # TODO 1.2 col_min = print(f"col_min output: \n {col_min}") print(f"col_min shape: {col_min.shape}") todo_check([ (col_min.shape == (5,),"col_min does not have the correct shape of (5,)"), (np.all(col_min == np.array([2,2,2,2,2])),'col_min does not have the correct values') ]) expected output
Use np.min to get the minimal value for each column. col_min should be used to save the output. # TODO 1.2 col_min = print(f"col_min output: \n {col_min}") print(f"col_min shape: {col_min.shape}") todo_check([ (col_min.shape == (5,),"col_min does not have the correct shape of (5,)"), (np.all(col_min == np.array([2,2,2,2,2])),'col_min does not have the correct values') ]) expected output
Chapter12: Secondary Storage Management
Section: Chapter Questions
Problem 13VE
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Question
Use np.min to get the minimal value for each column. col_min should be used to save the output.
# TODO 1.2
col_min =
print(f"col_min output: \n {col_min}")
print(f"col_min shape: {col_min.shape}")
todo_check([
(col_min.shape == (5,),"col_min does not have the correct shape of (5,)"),
(np.all(col_min == np.array([2,2,2,2,2])),'col_min does not have the correct values')
])
expected output
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