Using the Pandas DataFrame isnull() function, convert our forestfire_df to a boolean DataFrame (here true indicates an element is a missing value) (docs). Put the result in the forestfire_isnull variable. # TODO 1.1 forestfire_isnull = display(forestfire_isnull) todo_check([ (forestfire_isnull.shape == (517,13),"forestfire_isnull shape does not match (517, 13)"), (np.all(forestfire_isnull.iloc[10:20,0].values == np.array([False,False,False,False,False,False,False,False,False,False])),"The values of forestfire_isnull were incorrect!") ])

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
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Using the Pandas DataFrame isnull() function, convert our forestfire_df to a boolean DataFrame (here true indicates an element is a missing value) (docs). Put the result in the forestfire_isnull variable.

# TODO 1.1
forestfire_isnull =
display(forestfire_isnull)

todo_check([
(forestfire_isnull.shape == (517,13),"forestfire_isnull shape does not match (517, 13)"),
(np.all(forestfire_isnull.iloc[10:20,0].values == np.array([False,False,False,False,False,False,False,False,False,False])),"The values of forestfire_isnull were incorrect!")
])
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