Matplotlib scatter list of points

Examples of how to increase the size of scatter points in matplotlib:

Increase the size of all points

To increase the size of scatter points, a solution is to use the option "s" from the function scatter(), example

How to increase the size of scatter points in matplotlib ?import matplotlib.pyplot as plt x = [1,2,3,4,5,6,7,8] y = [4,1,3,6,1,3,5,2] plt.scatter(x,y,s=400,c='lightblue') plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_07.png') plt.show()

Points with different size

To plot points with different size, a solution is to provide a list of size (or an array) to "s". Note that the list must be of the same size that the input data:

How to increase the size of scatter points in matplotlib ?import matplotlib.pyplot as plt x = [1,2,3,4,5,6,7,8] y = [4,1,3,6,1,3,5,2] size = [100,500,100,500,100,500,100,500] plt.scatter(x,y,s=size) plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_06.png') plt.show()

Another solution is to combine multiple scatter plots:

How to increase the size of scatter points in matplotlib ?import matplotlib.pyplot as plt x = [1,2,3,4] y = [4,1,3,6] plt.scatter(x, y, s=100, c='coral') x = [5,6,7,8] y = [1,3,5,2] size = [100,500,100,500] plt.scatter(x, y, s=500, c='lightblue') plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_08.png') plt.show()

References