beginner

What does the shape of a NumPy array represent?

The shape of a NumPy array shows the size of the array in each dimension. It is a tuple where each number tells how many elements are in that dimension.

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beginner

How many dimensions does a 1D array have?

A 1D array has exactly one dimension. It looks like a simple list of values.

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beginner

What is the shape of this array? np.array([[1, 2, 3], [4, 5, 6]])

The shape is (2, 3) because there are 2 rows and 3 columns.

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beginner

What does the ndim attribute of a NumPy array tell you?

The ndim attribute tells you how many dimensions the array has. For example, 1 for 1D, 2 for 2D, and so on.

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intermediate

How can you change the shape of an array without changing its data?

You can use the reshape() method to change the shape of an array while keeping the same data.

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What is the shape of a 3D array with dimensions 4, 3, and 2?

A(4, 2, 3)

B(3, 2, 4)

C(2, 3, 4)

D(4, 3, 2)

If an array has shape (5,), what does this mean?

AIt is a 2D array with 5 rows

BIt is a 1D array with 5 elements

CIt is a 3D array with 5 layers

DIt is an empty array

Which NumPy attribute gives the number of dimensions of an array?

Ashape

Bsize

Cndim

Ddim

What happens if you try to reshape an array to a shape that does not match the total number of elements?

AIt raises an error

BIt reshapes anyway, filling missing values with zeros

CIt truncates extra elements

DIt duplicates elements to fill the shape

What is the shape of np.array([[1, 2], [3, 4], [5, 6]])?

A(3, 2)

B(2, 3)

C(6,)

D(3,)

Explain what array shape and dimensions mean in simple terms.

Describe how you can change the shape of an array and what you must be careful about.