Prerequisite: Matplotlib
In this article, we will learn how to add markers to a Graph Plot using Matplotlib with Python. For that one must be familiar with the following concepts:
- Matplotlib : Matplotlib is a tremendous visualization library in Python for 2D plots of arrays. Matplotlib may be a multi-platform data visualization library built on NumPy arrays and designed to figure with the broader SciPy stack. It was introduced by John Hunter within the year 2002.
- Subplots : The matplotlib.pyplot.subplots() method provides a way to plot multiple plots on a single figure. Given the number of rows and columns, it returns a tuple (fig, ax), giving a single figure fig with an array of axes ax.
Approach
- Import packages
- Import or create some data
- Create subplot objects.
- Draw a plot with it.
Example 1:
Python3
# importing packages import matplotlib.pyplot as plt import numpy as np # making subplots objects fig, ax = plt.subplots(3, 3) # draw graph for i in ax: for j in i: j.plot(np.random.randint(0, 5, 5), np.random.randint(0, 5, 5)) plt.show() |
Output :
Example 2 :
Python3
# importing packages import matplotlib.pyplot as plt import numpy as np # making subplots objects fig, ax = plt.subplots(2, 2) # draw graph ax[0][0].plot(np.random.randint(0, 5, 5), np.random.randint(0, 5, 5)) ax[0][1].plot(np.random.randint(0, 5, 5), np.random.randint(0, 5, 5)) ax[1][0].plot(np.random.randint(0, 5, 5), np.random.randint(0, 5, 5)) ax[1][1].plot(np.random.randint(0, 5, 5), np.random.randint(0, 5, 5)) plt.show() |
Output :
Example 3 :
Python3
# importing packages import matplotlib.pyplot as plt import numpy as np # making subplots objects fig, ax = plt.subplots(2, 2) # create data x = np.linspace(0, 10, 1000) # draw graph ax[0, 0].plot(x, np.sin(x), 'r-.') ax[0, 1].plot(x, np.cos(x), 'g--') ax[1, 0].plot(x, np.tan(x), 'y-') ax[1, 1].plot(x, np.sinc(x), 'c.-') plt.show() |
Output :
