Matplotlib pyplot.colors()

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.

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

Matplotlib.pyplot.colors()

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

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'.

import matplotlib.pyplot as plt

plt.plot([1, 2, 3, 4], color="green")
plt.show()

Output:

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.

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:

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.

import matplotlib.pyplot as plt

plt.plot([3, 4], [6, 4], color='#b717bd')
plt.show()

Output:

Plotting a Line with an RGBA Color

In this example, a line plot is rendered using Matplotlib, spanning from x=[0,1,2,3] and y=[0,1,4,9]. The line color is set using RGBA values (1, 0.5, 0.5, 0.5), producing a semi-transparent light pink for the line.

import matplotlib.pyplot as plt

x = [0, 1, 2, 3]
y = [0, 1, 4, 9]

plt.plot(x, y, color=(1, 0.5, 0.5, 0.5))  # RGBA tuple (Red, Green, Blue, Alpha)
plt.show()

Output: