15 Feb Matplotlib – Scatter Plot
To draw a scatter plot in Matplotlib, use the scatter() method. Before moving further, we’ve prepared a video tutorial to draw a scatter plot in Matplotlib:
Examples
In this lesson, we will see the following examples:
- Create a Scatter Plot in Matplotlib
- Create a Scatter Plot in Matplotlib and show the comparison (Team 1 and Team 2)
- Create a Scatter Plot in Matplotlib with a real-life example
- Create a Scatter Plot in Matplotlib and set your own color for the markers
- Create a Scatter Plot in Matplotlib and set a specific color for each dot
- Create a Scatter Plot in Matplotlib and set the dot sizes
Create a Scatter Plot in Matplotlib
To create a scatter plot in Matplotlib, use the scatter() function from the pyplot module. This function plots individual data points as markers on a Cartesian plane.
Let us see an example:
# Create a Scatter Plot in Matplotlib import matplotlib.pyplot as plt import numpy as np xpts = np.array([2, 5, 7, 3, 8, 6, 9, 10, 13, 5, 11]) ypts = np.array([87, 93, 78, 95, 81, 92, 75, 77, 87, 94, 79]) plt.scatter(xpts, ypts) plt.show()
Output
Create a Scatter Plot in Matplotlib and show the comparison (Team 1 and Team 2)
Let us see an example:
# Create a Scatter Plot in Matplotlib and show the comparison (Team 1 and Team 2)
import matplotlib.pyplot as plt
# Data to Plot
# Score of two teams
team1_Score = [25, 47, 34, 38, 27, 40, 42, 18]
team2_Score = [7, 22, 40, 29, 27, 10, 19, 31]
# Score range
scoreRange = [5, 10, 15, 20, 25, 30, 35, 40]
# Plot
plt.scatter(team1_Score, scoreRange, c = 'red', marker = 'o', label = 'Team 1')
plt.scatter(team2_Score, scoreRange, c = 'blue', marker = '*', label = 'Team 2')
plt.xlabel('Team Score')
plt.ylabel('Score Range')
plt.legend()
plt.show()
Output
Create a Scatter Plot in Matplotlib with a real-life example
Let us see an example:
# Create a Scatter Plot in Matplotlib with a real-life example
import matplotlib.pyplot as plt
import numpy as np
study_hours = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
exam_scores = np.array([52, 58, 65, 68, 75, 85, 88, 92, 98, 99])
plt.scatter(study_hours, exam_scores)
plt.xlabel('Study Hours')
plt.ylabel('Exam Scores')
plt.title('Study Time vs Test Score Analysis')
plt.show()
Output
Create a Scatter Plot in Matplotlib and set your own color for the markers
Use the color property of the scatter() function to set the marker color. Let us see an example:
# Create a Scatter Plot in Matplotlib and set your own color for the markers
import matplotlib.pyplot as plt
import numpy as np
study_hours = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
exam_scores = np.array([52, 58, 65, 68, 75, 85, 88, 92, 98, 99])
plt.scatter(study_hours, exam_scores, color = 'orange')
plt.xlabel('Study Hours')
plt.ylabel('Exam Scores')
plt.title('Study Time vs Test Score Analysis')
plt.show()
Output
Create a Scatter Plot in Matplotlib and set a specific color for each dot
To set a specific color for each dot, create an array of the colors you want for each dot, and set it as a parameter of the scatter() function. Let us see an example:
# Create a Scatter Plot in Matplotlib and set a specific color for each dot
import matplotlib.pyplot as plt
import numpy as np
study_hours = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
exam_scores = np.array([52, 58, 65, 68, 75, 85, 88, 92, 98, 99])
colors = np.array([
"Red", "Blue", "Green", "Yellow", "Orange","Purple", "Pink", "Brown", "Black", "White"])
plt.scatter(study_hours, exam_scores, c = colors)
plt.xlabel('Study Hours')
plt.ylabel('Exam Scores')
plt.title('Study Time vs Test Score Analysis')
plt.show()
Output
Create a Scatter Plot in Matplotlib and set the dot sizes
To set the dot sizes, create an array of the sizes, and set it as a parameter of the scatter() function. Let us see an example:
# Create a Scatter Plot in Matplotlib and set the dot sizes
import matplotlib.pyplot as plt
import numpy as np
study_hours = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
exam_scores = np.array([52, 58, 65, 68, 75, 85, 88, 92, 98, 99])
sizes = np.array([30, 75, 120, 200, 300, 450, 600, 750, 900, 1000])
plt.scatter(study_hours, exam_scores, s = sizes)
plt.xlabel('Study Hours')
plt.ylabel('Exam Scores')
plt.title('Study Time vs Test Score Analysis')
plt.show()
Output
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