my_plot = Plotter(dict, dict_keys_as_labels=True) Input args: - input_dict must be like: {'comedy' : [numpy_matrix, label_number, numpy_array_of_file_names], 'action' : [numpy_matrix, label_number, numpy_array_of_file_names], ................................................................., } - by default dict keys are used in plot as class labels. keys might be helpful, but you can exclude them in plot by setting 'dict_keys_as_labels' to False. you could use any input_dict key (just don't dublicate them), it's for your attention to see what classes you added and their labels; - 'numpy_matrix' must be 2 dimentional, samples in rows and their features in cols; - 'label_number' is just label integer. That integers are used at plot to generate colors. The numbers must be started from zero; - 'numpy_array_of_file_names' must be a numpy vector of strings like : np.array(["comedy", "action", ...]) my_plot.plot(dim='3d', func_type='tsne', figsize=(10,10))