You can use the following basic syntax to generate random colors in Matplotlib plots:

**1. Generate Random Color for Line Plot**

col = (np.random.random(), np.random.random(), np.random.random()) plt.plot(x, y, c=col)

**2. Generate Random Colors for Scatterplot**

plt.scatter(x, y, c=np.random.rand(len(x),3))

The following examples show how to use this syntax in practice.

**Example 1: Generate Random Color for Line Plot**

The following code shows how to generate a random color for a single line in a line plot:

import matplotlib.pyplot as plt import numpy as np #define data x = [1, 2, 3, 4, 5] y = [7, 12, 15, 19, 25] #define random color col = (np.random.random(), np.random.random(), np.random.random()) #create line plot with random color plt.plot(x, y, c=col)

If we run this exact same piece of code again, a line plot with a different random color will be created:

**Example 2: Generate Random Colors for Scatterplot**

The following code shows how to create a scatterplot with random colors for each point in the plot:

import matplotlib.pyplot as plt import numpy as np #define data x = [1, 2, 3, 4, 5] y = [7, 12, 15, 19, 25] #create scatterplot with random colors for each point plt.scatter(x, y, c=np.random.rand(len(x),3))

If we run this exact same piece of code again, a scatterplot with new random colors for each point will be created:

**Note:** Under the hood, this code is simply using NumPy to generate random (R,G,B) colors.

Refer to the online documentation for a complete explanation of the NumPy **random()** function.

**Additional Resources**

The following tutorials explain how to perform other common plotting functions in Matplotlib:

How to Change Background Color in Matplotlib

How to Color a Scatterplot by Value in Matplotlib