Multiple scatter plot on same axis

Question

I have 3 scatter plots, was wondering how I can combine these 3 into 1 big scatter plot.

I can't seem to find a solution to this specific problem using only Matplotlib.

x1 = np.random.randint(40, 100, 50)
y1 = np.random.randint(40, 100, 50)

x2 = np.random.randint(0, 60, 50)
y2 = np.random.randint(0, 60, 50)

x3 = np.random.randint(40, 100, 50)
y3 = np.random.randint(0, 60, 50)

fig, (plot1, plot2, plot3, plot4) = plt.subplots(1, 4)

plot1.scatter(x1,y1, color='green', s = 10)
plot1.set(xlim=(0, 100), ylim=(0, 100))

plot2.scatter(x2,y2, color='red', s = 10)
plot2.set(xlim=(0, 100), ylim=(0, 100))

plot3.scatter(x3,y3, color='blue', s = 10)
plot3.set(xlim=(0, 100), ylim=(0, 100))

plot4.scatter(plot1, plot2, plot3)

so I want plot4 to be a combination of plot1, plot2 and plot3.

Answer 1

Simply plot each original plot on plot4:

plot4.scatter(x1,y1, color='green', s = 10)
plot4.scatter(x2,y2, color='red', s = 10)
plot4.scatter(x3,y3, color='blue', s = 10)

Alternatively, you can combine each x and y array using np.concatenate() to call the plot command only once, but this loses the ability to color each sub-group independently.

plot4.scatter(np.concatenate((x1,x2,x3)), 
              np.concatenate((y1,y2,y3)), 
              color='black', s=10)

Answer 2

If the colour of the plot4 can be different than the original ones, you can do as follows:

fig, (plot1, plot2, plot3, plot4) = plt.subplots(1, 4)

plot1.scatter(x1,y1, color='green', s = 10)
plot1.set(xlim=(0, 100), ylim=(0, 100))

plot2.scatter(x2,y2, color='red', s = 10)
plot2.set(xlim=(0, 100), ylim=(0, 100))

plot3.scatter(x3,y3, color='blue', s = 10)
plot3.set(xlim=(0, 100), ylim=(0, 100))

plot4.scatter([x1, x2, x3], [y1, y2, y3], color=('violet'), s = 10)

But if you want the colours of all the plots to be the same as they are in the three subplots, you can do what Brendan has suggested