Scatter plots draw data points using Cartesian coordinates to show the values of numerical values. They also represent the relationship between two numerial values. We can create a scatter plot in Matplotlib using the scatter() function, as follows:
# Add the essential library matplotlib
import matplotlib.pyplot as plt
# create the data
x = [1,3,5,7,9,11]
y = [10,25,35,33,41,59]
# Draw the scatter chart
plt.scatter(x, y, c='blue', marker='*',alpha=0.5)
# Append the label on X-axis
plt.xlabel("X-label")
# Append the label on X-axis
plt.ylabel("Y-label")
# Add the title to graph
plt.title("Scatter Chart Sample")
# Display the chart
plt.show()
This results in the following output:
In the preceding scatter plot, the scatter() function takes x-axis and y-axis values. In our example, we are plotting two lists: x and y. We can also use optional parameters such as c for color, alpha for the transparency of the markers, ranging between...
