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Feb 13, 2024
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Simplify example: Box plots with custom fill colors #27781

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Simplify example: Box plots with custom fill colors
timhoffm Feb 13, 2024
ee7fbcc
Update galleries/examples/statistics/boxplot_color.py
timhoffm Feb 13, 2024
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58 changes: 20 additions & 38 deletions galleries/examples/statistics/boxplot_color.py
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Expand Up @@ -3,52 +3,34 @@
Box plots with custom fill colors
=================================

This plot illustrates how to create two types of box plots
(rectangular and notched), and how to fill them with custom
colors by accessing the properties of the artists of the
box plots. Additionally, the ``labels`` parameter is used to
provide x-tick labels for each sample.

A good general reference on boxplots and their history can be found
here: http://vita.had.co.nz/papers/boxplots.pdf
To color each box of a box plot individually:

1) use the keyword argument ``patch_artist=True`` to create filled boxes.
2) loop through the created boxes and adapt their color.
"""

import matplotlib.pyplot as plt
import numpy as np

# Random test data
np.random.seed(19680801)
all_data = [np.random.normal(0, std, size=100) for std in range(1, 4)]
labels = ['x1', 'x2', 'x3']

fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(9, 4))

# rectangular box plot
bplot1 = ax1.boxplot(all_data,
vert=True, # vertical box alignment
patch_artist=True, # fill with color
labels=labels) # will be used to label x-ticks
ax1.set_title('Rectangular box plot')

# notch shape box plot
bplot2 = ax2.boxplot(all_data,
notch=True, # notch shape
vert=True, # vertical box alignment
patch_artist=True, # fill with color
labels=labels) # will be used to label x-ticks
ax2.set_title('Notched box plot')
fruit_weights = [
np.random.normal(130, 10, size=100),
np.random.normal(125, 20, size=100),
np.random.normal(120, 30, size=100),
]
labels = ['peaches', 'oranges', 'tomatoes']
colors = ['peachpuff', 'orange', 'tomato']
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I did not know these colours existed by using them here is 😎

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Actually, I checked https://matplotlib.org/devdocs/gallery/color/named_colors.html and chose the fruits after available color names 😎


fig, ax = plt.subplots()
ax.set_ylabel('fruit weight (g)')

bplot = ax.boxplot(fruit_weights,
patch_artist=True, # fill with color
labels=labels) # will be used to label x-ticks

# fill with colors
colors = ['pink', 'lightblue', 'lightgreen']
for bplot in (bplot1, bplot2):
for patch, color in zip(bplot['boxes'], colors):
patch.set_facecolor(color)

# adding horizontal grid lines
for ax in [ax1, ax2]:
ax.yaxis.grid(True)
ax.set_xlabel('Three separate samples')
ax.set_ylabel('Observed values')
for patch, color in zip(bplot['boxes'], colors):
patch.set_facecolor(color)

plt.show()

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