APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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In NumPy, what does the SHAPE of an array mean?
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The shape is the number of columns.
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The shape is the number of rows
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The shape is the number of elements in each dimension.
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all of these
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Explanation:
Detailed explanation-1: -The shape property is usually used to get the current shape of an array, but may also be used to reshape the array in-place by assigning a tuple of array dimensions to it.
Detailed explanation-2: -In NumPy dimensions are called axes. For example, the array for the coordinates of a point in 3D space, [1, 2, 1], has one axis. That axis has 3 elements in it, so we say it has a length of 3. In the example pictured below, the array has 2 axes. The first axis has a length of 2, the second axis has a length of 3.
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