import numpy as np

import matplotlib

matplotlib.use('Agg')

import matplotlib.pyplot as plt

fig = plt.figure(figsize=(8,5),dpi=72)

fig.patch.set_alpha(0.0)

axes = plt.subplot(111)

n = 5

Z = np.zeros((n,4))

X = np.linspace(0,2,n,endpoint=True)

Y = np.random.random((n,4))

plt.boxplot(Y)

#plt.xlim(-0.2,4.2)

#plt.ylim(-1.2,1.2)

plt.xticks([]), plt.yticks([])

plt.text(-0.05, 1.05, " Box Plot \n\n",

horizontalalignment='left',

verticalalignment='top',

family='Lint McCree Intl BB',

size='x-large',

bbox=dict(facecolor='white', alpha=1.0, width=350,height=60),

transform = axes.transAxes)

plt.text(-0.05, .95, " Make a box and whisker plot ",

horizontalalignment='left',

verticalalignment='top',

family='Lint McCree Intl BB',

size='medium',

transform = axes.transAxes)

plt.savefig('../figures/boxplot.png', dpi=64)

plt.show()