Code taken from Software Carpentry's python-novice-inflammation lesson.
%matplotlib inline
import numpy
data = numpy.loadtxt(fname='data/inflammation-01.csv', delimiter=',')
import matplotlib.pyplot
image = matplotlib.pyplot.imshow(data)
matplotlib.pyplot.show(image)
ave_inflammation = data.mean(axis=0)
ave_plot = matplotlib.pyplot.plot(ave_inflammation)
matplotlib.pyplot.show(ave_plot)
import numpy
import matplotlib.pyplot
data = numpy.loadtxt(fname='data/inflammation-01.csv', delimiter=',')
fig = matplotlib.pyplot.figure(figsize=(10.0, 3.0))
axes1 = fig.add_subplot(1, 3, 1)
axes2 = fig.add_subplot(1, 3, 2)
axes3 = fig.add_subplot(1, 3, 3)
axes1.set_ylabel('average')
axes1.plot(data.mean(axis=0))
axes2.set_ylabel('max')
axes2.plot(data.max(axis=0))
axes3.set_ylabel('min')
axes3.plot(data.min(axis=0))
fig.tight_layout()
matplotlib.pyplot.show(fig)