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!") ])

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!") ])

COMPREHENSIVE MICROSOFT OFFICE 365 EXCE

1st Edition

ISBN:9780357392676

Author:FREUND, Steven

Publisher:FREUND, Steven

Chapter2: Formulas, Functions, And Formatting

Section: Chapter Questions

Problem 1EYK

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