["python","matplotlib","scatter-plot"]
Multiple datasets on the same scatter plot

I want to plot multiple data sets on the same scatter plot: cases = scatter(x[:4], y[:4], s=10, c='b', marker="s") controls = scatter(x[4:], y[4:], s=10, c='r', marker="o") show() The above only shows the most recent scatter() I've also tried: plt = subplot(111) plt.scatter(x[:4], y[:4], s=10, c='b', marker="s") plt.scatter(x[4:], y[4:], s=10, c='r', marker="o") show()
You need a reference to an Axes object to keep drawing on the same subplot. import matplotlib.pyplot as plt x = range(100) y = range(100,200) fig = plt.figure() ax1 = fig.add_subplot(111) ax1.scatter(x[:4], y[:4], s=10, c='b', marker="s", label='first') ax1.scatter(x[40:],y[40:], s=10, c='r', marker="o", label='second') plt.legend(loc='upper left') plt.show()