Given a 2D NumPy array arr with shape (7, 1), which of the following code snippets correctly converts it to a 1D array without changing the order of elements?

hard📝 Application Q8 of 15

NumPy - Array Manipulation

Given a 2D NumPy array arr with shape (7, 1), which of the following code snippets correctly converts it to a 1D array without changing the order of elements?

Aarr = np.expand_dims(arr, axis=0)

Barr = np.squeeze(arr)

Carr = arr.reshape((1, 7))

Darr = arr.flatten()

Step-by-Step Solution

Solution:

Step 1: Understand the shape
Original shape is (7, 1), a 2D array with one singleton dimension.
Step 2: Using np.squeeze()
Removes singleton dimensions, converting shape to (7,), a 1D array.
Step 3: Other options
expand_dims adds dimensions, reshape changes shape but not to 1D, flatten returns a copy but also works.
Step 4: Best option
np.squeeze is the most direct and efficient method to convert (7,1) to (7,).
Final Answer:
arr = np.squeeze(arr) -> Option B
Quick Check:
Squeeze removes singleton dims without changing order [OK]

Quick Trick: Use squeeze to remove singleton dimensions efficiently [OK]

Common Mistakes:

Using reshape incorrectly and changing data layout
Using expand_dims which adds dimensions
Assuming flatten is the only way to get 1D

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More NumPy Quizzes

Given a 2D NumPy array arr with shape (7, 1), which of the following code snippets correctly converts it to a 1D array without changing the order of elements?

Step 1: Understand the shape

Step 2: Using np.squeeze()

Step 3: Other options

Step 4: Best option

Final Answer:

Quick Check:

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