In [1]:
import numpy
import matplotlib.pyplot
data = numpy.loadtxt(fname='../data/swc/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(numpy.mean(data, axis=0))
axes2.set_ylabel('max')
axes2.plot(numpy.max(data, axis=0))
axes3.set_ylabel('min')
axes3.plot(numpy.min(data, axis=0))
fig.tight_layout()
matplotlib.pyplot.show()
In [2]:
import numpy as np
import matplotlib.pyplot as plt
data = np.loadtxt(fname='../data/swc/inflammation-01.csv', delimiter=',')
plt.imshow(data)
plt.show()