Please help answer the problem in the screenshots. Thnaks!

2-D scatter plots and line plots. { width =500px} Please name the function as plot_data_hyperplane. The inputs/arguments of the function shall be: - x : a 2-D numpy array such that x[i], which is 1-D numpy array, corresponds to the i-th sample's feature vector (not augmented). The shape of x[i] is 1-by-2. Note this x is NOT augmented nor normalized. (See programming hints below.) - y : a 1-D numpy array such that y[i], which is a scalar [+1,1], is the label of the i-th sample. - w : the weight vector of the classifier, where the 1st element corresponds to the 1 st dimension of a feature vector, the 2 nd element corresponds to the 2 nd dimension of a feature vector, and the last term is the bias. : a string ending in or the path to save the plot into a PNG or PDF file. The function shall have NO RETURNs