Question

Loops and Boolean Expressions Write a function contains_negative that takes as a parameter an array. Your function should return True if there is at least 1 negative number in the array, and return false otherwise. Example: With x = numpy.array([4,6,5]), contains_negative(x) should return true. With x = numpy.array([2,6,8]), contains_negative(x) should return false. Now try to write contains_no_negative, which works as above, but returns true if there are NO negative numbers, and returns false otherwise.

          Loops and Boolean Expressions
Write a function contains_negative that takes as a parameter an array.
Your function should return True if there is at least 1 negative number in the
array, and return false otherwise.
Example:
With x = numpy.array([4,6,5]), contains_negative(x) should return true.
With x = numpy.array([2,6,8]), contains_negative(x) should return false.
Now try to write contains_no_negative, which works as above, but returns true if
there are NO negative numbers, and returns false otherwise.

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Loops and Boolean Expressions
Write a function containsnegative that takes as a parameter an array.
Your function should return True if there is at least 1 negative number in the
array, and return false otherwise.
Example:
With x = numpy.array([4,6,5]), containsnegative(x) should return true.
With x = numpy.array([2,6,8]), containsnegative(x) should return false.
Now try to write containsnonegative, which works as above, but returns true if
there are NO negative numbers, and returns false otherwise.

Added by Glenda P.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Luke Humphrey

Step 1

If we find a negative number, we can immediately return True. If we finish iterating through the entire array without finding a negative number, we can return False. Here's the code for the "contains_negative" function: ```python import numpy as np def Show more…

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In Python, using NumPy: Loops and Boolean Expressions: Write a function "contains_negative" that takes an array as a parameter. Your function should return True if there is at least one negative number in the array, and False otherwise. Example: With x = numpy.array([4, 6, 5]), contains_negative(x) should return True. With x = numpy.array([2, 6, 8]), contains_negative(x) should return False. Now try to write "contains_no_negative", which works as above but returns True if there are NO negative numbers, and False otherwise.

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