1.2 For each column, use np.min to find the minimum value. Save the result in the variable col_min. # TODO 11.2 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') ])
1.2 For each column, use np.min to find the minimum value. Save the result in the variable col_min. # TODO 11.2 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') ])
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
1.2 For each column, use np.min to find the minimum value. Save the result in the variable col_min.
# TODO 11.2
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')
])
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