Which of the following attribute is used to check numpy array dimensions? dim ndim mdim None of the above

Step 1: Break Down the Problem

We need to determine which attribute is used to check the dimensions of a NumPy array among the options provided: dim, ndim, mdim, and None of the above.

Step 2: Relevant Concepts

In NumPy, the attribute used to check the number of dimensions of an array is ndim. This attribute returns an integer representing the number of dimensions (axes) of the array.

Step 3: Analysis and Detail

1. dim: This is not a valid attribute in NumPy for checking dimensions.
2. ndim: This is the correct attribute. For example, if arr is a NumPy array, calling arr.ndim will give you the number of dimensions of the array.
3. mdim: This is also not a valid attribute in NumPy.
4. None of the above: Since one of the options is correct, this is not the appropriate choice.

Step 4: Verify and Summarize

The correct attribute to use for checking the dimensions of a NumPy array is ndim. Therefore, the choice is valid and does not require further verification.

Final Answer

The correct answer is ndim.