Why does np.argmin() return a single integer index when applied to a multi-dimensional array without specifying an axis?
ABecause it raises an error for multi-dimensional arrays
BBecause it only looks at the first dimension
CBecause it flattens the array and returns the index in the flattened version
DBecause it returns the minimum value instead of index
