Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

Mark different color points on matplotlib

  • Last Updated : 03 Jun, 2020

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.

In this article, the task is to mark different color points in a graph based on a condition that the values of the elements of the list say x is less than or equal to 7 should be colored in blue and those greater should be colored magenta. The idea is to plot a graph having points grouped under one condition in different colors, basically to group the clusters in one color. For this, we run a loop for all values of x and assign a color value to the corresponding value of x. A list will be made of blue and magenta colors specifying the color at the ith index.

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

Below is the implementation.

import  numpy as np
import matplotlib.pyplot as plt
# values of x
x = np.array([1, 2, 3, 4, 5,
              6, 7, 8, 9, 10])
# values of y
y = np.array([10, 9, 8, 7, 6, 5,
              4, 3, 2, 1])
# empty list, will hold color value
# corresponding to x
col =[]
for i in range(0, len(x)):
    if x[i]<7:
for i in range(len(x)):
    # plotting the corresponding x with y 
    # and respective color
    plt.scatter(x[i], y[i], c = col[i], s = 10,
                linewidth = 0)


My Personal Notes arrow_drop_up
Recommended Articles
Page :