Use the NumPy any() method to see if forestfire_isnull has any True values, indicating that our data contains null items. Save the result to the variable hasnull. # TODO 1.2 hasnull = print(f"Value of hasnull is: {hasnull}") todo_check([ (hasnull == False,'hasnull should be False as there are no null values in the dataset!') ])

Use the NumPy any() method to see if forestfire_isnull has any True values, indicating that our data contains null items. Save the result to the variable hasnull. # TODO 1.2 hasnull = print(f"Value of hasnull is: {hasnull}") todo_check([ (hasnull == False,'hasnull should be False as there are no null values in the dataset!') ])

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter12: Points, Classes, Virtual Functions And Abstract Classes

Section: Chapter Questions

Problem 17SA

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