[New Feature] Insert color fill parameter to Boxplot instead of using 'patch_artist' #17959

Feature Request

I'm new to matplotlib and I don't know if there is a specific reason for the boxplot fill coloring to be the way it is. I only wonder if it could be done in a more straight forward manner than what is shown in here.

The idea for this "new feature" would be to use a color parameter that recieves either a list of supported colors or a single color (e.g. color = 'red') that specifies the colors to be applied to each one of the boxplots in the ax.

How it is currently done

import matplotlib.pyplot as plt
import numpy as np

data = [np.random.normal(0, std, 1000) for std in range(1, 6)]

box = plt.boxplot(data, notch=True, patch_artist=True)

colors = ['cyan', 'lightblue', 'lightgreen', 'tan', 'pink']
for patch, color in zip(box['boxes'], colors):
    patch.set_facecolor(color)

plt.show()

The idea for this 'New Feature'

import matplotlib.pyplot as plt
import numpy as np

data = [np.random.normal(0, std, 1000) for std in range(1, 6)]

colors = ['cyan', 'lightblue', 'lightgreen', 'tan', 'pink']

# or maybe 'c = colors', 'face_colors = colors'...
plt.boxplot(data, notch=True, colors = colors)

plt.show()

Any thoughts on this idea?

Matplotlib version

• Operating system: Windows 10 2004
• Matplotlib version: 3.2.2
• Matplotlib backend (print(matplotlib.get_backend())): TkAgg
• Python version: 3.7.7
• Jupyter version (if applicable): 2.1.5
• Other libraries: