# How to Adjust Marker Size in Matplotlib (With Examples)

Often you may want to adjust the marker size of points on a scatterplot in Matplotlib. Fortunately this is easy to do using the s argument, which stands for “size.”

This tutorial provides several examples of how to use this function in practice.

### Example 1: Set a Single Marker Size for All Points

The following code shows how to create a scatterplot in Matplotlib and set a single marker size for all points in the plot:

```import matplotlib.pyplot as plt

#define two arrays for plotting
A = [3, 5, 5, 6, 7, 8]
B = [12, 14, 17, 20, 22, 27]

#create scatterplot, specifying marker size to be 40
plt.scatter(A, B, s=40)
``` The larger the number we specify for the argument, the larger the points will be in the plot:

```import matplotlib.pyplot as plt

#define two arrays for plotting
A = [3, 5, 5, 6, 7, 8]
B = [12, 14, 17, 20, 22, 27]

#create scatterplot, specifying marker size to be 120
plt.scatter(A, B, s=120)``` ### Example 2: Set Different Marker Sizes for Each Point

The following code shows how to create a scatterplot in Matplotlib and set a different marker size for each point in the plot:

```import matplotlib.pyplot as plt

#define two arrays for plotting
A = [3, 5, 5, 6, 7, 8]
B = [12, 14, 17, 20, 22, 27]

#define array of marker sizes to use
sizes = [20, 40, 60, 80, 100, 150]

#create scatterplot, using marker sizes specified in array
plt.scatter(A, B, s=sizes)``` ### Example 3: Use a Function to Define Marker Sizes

The following code shows how to create a scatterplot in Matplotlib and use a function to define the marker sizes to use for each point in the plot:

```import matplotlib.pyplot as plt

#define two arrays for plotting
A = [3, 5, 5, 6, 7, 8]
B = [12, 14, 17, 20, 22, 27]

#define array of marker sizes to use
sizes = [3**n for n in range(len(A))]

#create scatterplot, using marker sizes specified in function
plt.scatter(A, B, s=sizes)``` You can find the complete Matplotlib documentation for adjusting marker size here.