48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
import numpy as np
|
|
import matplotlib.pyplot as plt
|
|
|
|
#x = np.random.randn( 40, 10 )
|
|
#np.save('boxwhiskerdata', x )
|
|
x = np.load('boxwhiskerdata.npy')
|
|
|
|
plt.xkcd()
|
|
fig = plt.figure( figsize=(6,4) )
|
|
ax = fig.add_subplot( 1, 1, 1 )
|
|
ax.spines['right'].set_visible(False)
|
|
ax.spines['top'].set_visible(False)
|
|
ax.yaxis.set_ticks_position('left')
|
|
ax.xaxis.set_ticks_position('bottom')
|
|
ax.set_xlabel('Experiment')
|
|
ax.set_ylabel('x')
|
|
ax.set_ylim( -4.0, 4.0)
|
|
ax.annotate('Median',
|
|
xy=(3.9, 0.1), xycoords='data',
|
|
xytext=(3.5, -2.5), textcoords='data', ha='right',
|
|
arrowprops=dict(arrowstyle="->", relpos=(0.8,1.0),
|
|
connectionstyle="angle3,angleA=-110,angleB=60") )
|
|
ax.annotate('1. quartile',
|
|
xy=(5.8, -0.7), xycoords='data',
|
|
xytext=(5.5, -3.5), textcoords='data', ha='right',
|
|
arrowprops=dict(arrowstyle="->", relpos=(0.5,1.0),
|
|
connectionstyle="angle3,angleA=30,angleB=70") )
|
|
ax.annotate('3. quartile',
|
|
xy=(6.1, 0.6), xycoords='data',
|
|
xytext=(6.5, 3.0), textcoords='data', ha='left',
|
|
arrowprops=dict(arrowstyle="->", relpos=(0.0,0.0),
|
|
connectionstyle="angle3,angleA=30,angleB=70") )
|
|
ax.annotate('minimum',
|
|
xy=(6.1, -2.3), xycoords='data',
|
|
xytext=(7.2, -3.3), textcoords='data', ha='left',
|
|
arrowprops=dict(arrowstyle="->", relpos=(0.0,0.5),
|
|
connectionstyle="angle3,angleA=10,angleB=100") )
|
|
ax.annotate('maximum',
|
|
xy=(5.9, 2.8), xycoords='data',
|
|
xytext=(4.9, 3.5), textcoords='data', ha='right',
|
|
arrowprops=dict(arrowstyle="->", relpos=(1.0,0.5),
|
|
connectionstyle="angle3,angleA=0,angleB=120") )
|
|
ax.boxplot( x, whis=100.0 )
|
|
plt.tight_layout()
|
|
plt.savefig('boxwhisker.pdf')
|
|
plt.show()
|
|
|