#!/usr/bin/env python
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
import sys

if len(sys.argv) != 3:
	print("Wrong number of arguments.")
	print("USAGE: ./plot_histogram.py <input_file> <output_file>")
	quit()

input_file = sys.argv[1]
output_file = sys.argv[2]

f = open(input_file)
X = [int(i) for i in f.readlines()]

# the histogram of the data
n, bins, patches = plt.hist(X, max(X)-min(X), facecolor='green')

# add a 'best fit' line
#  y = mlab.normpdf( bins, mu, sigma)
#  l = plt.plot(bins, y, 'r--', linewidth=1)

plt.xlabel('Sample Index')
plt.ylabel('Number of Selections')
#  plt.title(r'$\mathrm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$')
#  plt.axis([40, 160, 0, 0.03])
plt.xlim(0,97)
plt.grid(True)

plt.savefig(output_file)