Data Science, Artificial Intelligence, Machine Learning, Programming, Mathematics.
represent each data sample as a geometric vector: for i in range(x.shape[0]): plt.quiver(0, 0, x[i], y[i], angles='xy', scale_units='xy', scale=1, color="#A9A9A9", alpha=0.4) plt.xlim(x.min() - 1, x.max() + 1) plt.ylim(y.min() - 1, y.max() + 1) However, it is easier to represent data samples as