# -*- coding: utf-8 -*-
"""
Created on Tue Nov  5 19:13:38 2019

@author: Finn Haugen
"""

import numpy as np
import matplotlib.pyplot as plt

# Data to be plotted:
n = 10000  # Number of random values
x = np.random.randn(n)  # The random values
num_bins = 20  # Number of bins

# Size of figure window:
fig_width_cm = 24
fig_height_cm = 18
plt.figure(num=1, figsize=(fig_width_cm/2.54, fig_height_cm/2.54))

# Generating the histogram:
plt.hist(x, num_bins, color='green')
plt.grid()

#plt.show()

plt.savefig('histogram.pdf')