Matplotlib.pyplot.colors() in Python

In Python, we can plot graphs for visualization using the Matplotlib library. For integrating plots into applications, Matplotlib provides an API. Matplotlib has a module named pyplot which provides a MATLAB-like interface.

Matplotlib Add Color

This function is used to specify the color. It is a do-nothing function.

Alias	Color
‘b’	Blue
‘r’	Red
‘g’	Green
‘c’	Cyan
‘m’	Magenta
‘y’	Yellow
‘k’	Black
‘w’	White

We can use this function for various data visualizations and obtain insights from them.

Matplotlib.pyplot.colors() Examples

Below are some examples by which we can add color in Matplotlib.

Examples 1: Plotting a Simple Line with Matplotlib Colors

In this example, a line plot is created using Matplotlib, with data points [1, 2, 3, 4]. The line color is specified as ‘green’.

Python3

import matplotlib.pyplot as plt

# Define the Color
color = 'green'
plt.plot([1, 2, 3, 4], color=color)

plt.show()

Output:

Example 2: Plotting Data Points with Red Circular Markers

In this example, a line plot is generated using Matplotlib with data points at coordinates [1, 1], [2, 4], [3, 9], [4, 16]. The points are marked with red circular markers (marker='o'). Here, marker=’o’ represents circle while markerfacecolor is used for specifying color of the point marker.

Note: This function has been deprecated since version 2.1.

Python3

import matplotlib.pyplot as plt

x = [1, 2, 3, 4]
y = [1, 4, 9, 16]

plt.plot(x, y, marker='o', markerfacecolor='r')

plt.show()

Output:

Example 3: Plotting a Line with a Hexadecimal Color

In this example, a line plot is created in Matplotlib, extending from (0, 0) to (1, 1). The line color is defined using the hexadecimal code '#FF5733', representing a shade of orange-red.

Python3

import matplotlib.pyplot as plt

plt.plot([0, 1], [0, 1], color='#FF5733')
plt.show()

Output:

Example 4: Plotting a Line with an RGBA Color

In this example, a line plot is rendered using Matplotlib, spanning from (0, 0) to (1, 1). The line color is set using RGBA values (0.1, 0.2, 0.5, 0.5), producing a semi-transparent bluish hue for the line.

Python3

import matplotlib.pyplot as plt

plt.plot([0, 1], [0, 1], color=(0.1, 0.2, 0.5, 0.5))  # RGBA color
plt.show()

Output: