# TODO 1: Use iloc, loc, or square brackets [to slice the "area" column]. Put the output into the area values variable. # TODO 1 area_values = display(area_values) todo_check([ (area_values.shape == (517,),'area_values shape did not match (517,)'), (np.all(area_values.values[-10:] == np.array([0. ,0. ,2.17,0.43,0. ,6.44,54.29,11.16,0. ,0. ])),'area_values did not contain the correct values!') ]) Expected Output:
# TODO 1: Use iloc, loc, or square brackets [to slice the "area" column]. Put the output into the area values variable. # TODO 1 area_values = display(area_values) todo_check([ (area_values.shape == (517,),'area_values shape did not match (517,)'), (np.all(area_values.values[-10:] == np.array([0. ,0. ,2.17,0.43,0. ,6.44,54.29,11.16,0. ,0. ])),'area_values did not contain the correct values!') ]) Expected Output:
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
Related questions
Question
100%
# TODO 1: Use iloc, loc, or square brackets [to slice the "area" column]. Put the output into the area values variable.
# TODO 1
area_values =
display(area_values)
todo_check([
(area_values.shape == (517,),'area_values shape did not match (517,)'),
(np.all(area_values.values[-10:] == np.array([0. ,0. ,2.17,0.43,0. ,6.44,54.29,11.16,0. ,0. ])),'area_values did not contain the correct values!')
])
Expected Output:

Transcribed Image Text:0
AWNHO
1
2
3
4
512
513
514
515
0.00
0.00
0.00
0.00
0.00
6.44
54.29
11.16
0.00
0.00
516
Name: area, Length: 517, dtype: float64
Your code PASSED the code check!
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