Mark different color points on matplotlib

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.

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:
        col.append('blue')
    else:
        col.append('magenta')

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)


plt.show()

Output:

My Personal Notes arrow_drop_up

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