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import matplotlib.pyplot as plt
import numpy as np
import sys
def load_distribution(filename):
l = [int(line.strip()) for line in open(filename)]
l = sorted(l)
l = l[:]
return l
def plot_distribution(files):
for file in files:
x = load_distribution(file)
a = np.array(x)
print file, a.mean(), a.size
n, bins, patches = plt.hist(x, 50, normed=1, facecolor='green')
plt.show()
# # n_nodes = float(sum(y))
# plt.plot(x, np.array(y), ".")
# if save:
# fig = plt.gcf()
# fig.set_size_inches(20, 15)
# # plt.savefig(output, bbox_inches="tight")
# else:
# plt.show()
if __name__ == "__main__":
plot_distribution(sys.argv[1:])
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