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How to Add Markers to a Graph Plot in Matplotlib with Python?
  • Last Updated : 16 Nov, 2020

Prerequisite: Matplotlib 

In this article we will learn how to add markers to a Graph Plot in Matplotlib with Python. For that just see some concepts that we will use in our work.

  • 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.
  • Graph Plot : A plot is a graphical technique for representing a data set, usually as a graph showing the relationship between two or more variables.
  • Markers : The markers are shown in graph with different shapes and color to modify the meaning of graph.

Approach

To generate a graph with a modified marker style, following steps need to be followed:

  1. Import packages
  2. Import or create some data
  3. Draw a graph plot.
  4. Set the marker by using marker feature.

Example 1:

Python3






# importing packages
import matplotlib.pyplot as plt
  
# plot with marker
plt.plot([2, 8, 7, 4, 7, 6, 2, 5, 9], marker='D')
plt.show()

Output :

Example 2 :

Python3




# importing packages
import matplotlib.pyplot as plt
  
# create data
t = np.arange(0., 5., 0.2)
  
# plot with marker
plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
plt.show()

Output :

Example 3 :

Python3




# importing packages
import matplotlib.pyplot as plt
import numpy as np
  
# create data
x_values = np.linspace(0, 10, 20)
y_values = np.sin(x_values)
markers = ['>', '+', '.', ',', 'o', 'v', 'x', 'X', 'D', '|']
  
# apply markers
for i in range(20):
    plt.plot(x_values, y_values + i*0.2, markers[i % 10])
plt.show()

Output :

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