Boxplot DemoΒΆ

Example boxplot code

import numpy as np
import matplotlib.pyplot as plt

# Fixing random state for reproducibility

# fake up some data
spread = np.random.rand(50) * 100
center = np.ones(25) * 50
flier_high = np.random.rand(10) * 100 + 100
flier_low = np.random.rand(10) * -100
data = np.concatenate((spread, center, flier_high, flier_low))
Basic Plot


{'whiskers': [<matplotlib.lines.Line2D object at 0x7fe200f27910>, <matplotlib.lines.Line2D object at 0x7fe200f27940>], 'caps': [<matplotlib.lines.Line2D object at 0x7fe200d601c0>, <matplotlib.lines.Line2D object at 0x7fe200d605b0>], 'boxes': [<matplotlib.lines.Line2D object at 0x7fe200f270d0>], 'medians': [<matplotlib.lines.Line2D object at 0x7fe200f2c2e0>], 'fliers': [<matplotlib.lines.Line2D object at 0x7fe200f2c850>], 'means': []}
fig2, ax2 = plt.subplots()
ax2.set_title('Notched boxes')
ax2.boxplot(data, notch=True)
Notched boxes


{'whiskers': [<matplotlib.lines.Line2D object at 0x7fe200fce670>, <matplotlib.lines.Line2D object at 0x7fe200fcea00>], 'caps': [<matplotlib.lines.Line2D object at 0x7fe200fce400>, <matplotlib.lines.Line2D object at 0x7fe200fce280>], 'boxes': [<matplotlib.lines.Line2D object at 0x7fe200fced60>], 'medians': [<matplotlib.lines.Line2D object at 0x7fe200fc9fa0>], 'fliers': [<matplotlib.lines.Line2D object at 0x7fe200fc9760>], 'means': []}
green_diamond = dict(markerfacecolor='g', marker='D')
fig3, ax3 = plt.subplots()
ax3.set_title('Changed Outlier Symbols')
ax3.boxplot(data, flierprops=green_diamond)
Changed Outlier Symbols


{'whiskers': [<matplotlib.lines.Line2D object at 0x7fe14fda4e50>, <matplotlib.lines.Line2D object at 0x7fe207800b80>], 'caps': [<matplotlib.lines.Line2D object at 0x7fe206253760>, <matplotlib.lines.Line2D object at 0x7fe2035a3790>], 'boxes': [<matplotlib.lines.Line2D object at 0x7fe203a66e20>], 'medians': [<matplotlib.lines.Line2D object at 0x7fe2069d40d0>], 'fliers': [<matplotlib.lines.Line2D object at 0x7fe203e271f0>], 'means': []}
fig4, ax4 = plt.subplots()
ax4.set_title('Hide Outlier Points')
ax4.boxplot(data, showfliers=False)
Hide Outlier Points


{'whiskers': [<matplotlib.lines.Line2D object at 0x7fe14e410850>, <matplotlib.lines.Line2D object at 0x7fe14e410220>], 'caps': [<matplotlib.lines.Line2D object at 0x7fe14e410d00>, <matplotlib.lines.Line2D object at 0x7fe14e4102b0>], 'boxes': [<matplotlib.lines.Line2D object at 0x7fe14e410a00>], 'medians': [<matplotlib.lines.Line2D object at 0x7fe200f34ac0>], 'fliers': [], 'means': []}
red_square = dict(markerfacecolor='r', marker='s')
fig5, ax5 = plt.subplots()
ax5.set_title('Horizontal Boxes')
ax5.boxplot(data, vert=False, flierprops=red_square)
Horizontal Boxes


{'whiskers': [<matplotlib.lines.Line2D object at 0x7fe200f09280>, <matplotlib.lines.Line2D object at 0x7fe200f09550>], 'caps': [<matplotlib.lines.Line2D object at 0x7fe200f09820>, <matplotlib.lines.Line2D object at 0x7fe200f09af0>], 'boxes': [<matplotlib.lines.Line2D object at 0x7fe200f32f70>], 'medians': [<matplotlib.lines.Line2D object at 0x7fe200f09dc0>], 'fliers': [<matplotlib.lines.Line2D object at 0x7fe200f06b80>], 'means': []}
fig6, ax6 = plt.subplots()
ax6.set_title('Shorter Whisker Length')
ax6.boxplot(data, flierprops=red_square, vert=False, whis=0.75)
Shorter Whisker Length


{'whiskers': [<matplotlib.lines.Line2D object at 0x7fe200fa5b20>, <matplotlib.lines.Line2D object at 0x7fe200fa5df0>], 'caps': [<matplotlib.lines.Line2D object at 0x7fe200d90100>, <matplotlib.lines.Line2D object at 0x7fe200d903d0>], 'boxes': [<matplotlib.lines.Line2D object at 0x7fe200fa5850>], 'medians': [<matplotlib.lines.Line2D object at 0x7fe200d906a0>], 'fliers': [<matplotlib.lines.Line2D object at 0x7fe200d90970>], 'means': []}

Fake up some more data

Making a 2-D array only works if all the columns are the same length. If they are not, then use a list instead. This is actually more efficient because boxplot converts a 2-D array into a list of vectors internally anyway.

data = [data, d2, d2[::2]]
fig7, ax7 = plt.subplots()
ax7.set_title('Multiple Samples with Different sizes')
Multiple Samples with Different sizes


The use of the following functions, methods, classes and modules is shown in this example:

Total running time of the script: ( 0 minutes 2.609 seconds)

Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery