Python for Data Science: Chapter 6: Data Visualization

Matplotlib: Colors

Python open source drawing library

For giving different color to the plot, we use the attribute color.

Colors

•  For giving different color to the plot, we use the attribute color. For example –


Python code

from matplotlib import pyplot as plt

import numpy as np

y = np.array([5,2,10,8])

plt.plot(y,color = 'b')

plt.show()

Output


 

• The shortcuts for different colors are enlisted as below ‒

 'r'        Red

'g'        Green

'b'        Blue

'c'        Cyan

'm'       Magenta

'y'        Yellow

'k'        Black

'w'       White


Hex codes

• We can use hex code for the colors. For example –

plt.plot(x, y, color='#ff5733') # Orange‒red color

plt.show()


RGB Tuples

• We can specify colors using RGB tuples (R, G, B) or RGBA (R, G, B, A), where A is the transparency (alpha value). For example ‒

plt.plot(x, y, color=(0.2, 0.6, 0.8)) # RGB values (normalized between 0 and 1)

plt.show()

 

Python for Data Science: Chapter 6: Data Visualization : Tag: Computer Programming, Python, Data Science : Python open source drawing library - Matplotlib: Colors


Python for Data Science: Chapter 6: Data Visualization



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