log hist

import numpy as np
import matplotlib.pyplot as plt

# Plotting constants
LB = -17
UB = -5
DIVISIONS = abs(UB - LB) * 2
BER_LIMIT = 1E-9

def load(fname, column):
    """Extracts a column from a CSV file as a NumPy array"""
    arr = np.genfromtxt(fname, dtype='float32',
                        skip_header=1, usecols=column, delimiter=",")
    return arr

def ber_histogram(data):
    """Plots a histogram of from NumPy array"""
    fig = plt.figure(figsize=(6.5, 4.5))
    ax = plt.subplot(111)
    bins = [10 ** x for x in np.linspace(LB, UB, num=DIVISIONS)]
    ax.hist(data, bins=bins)
    plt.xscale('log')
    plt.show()
    plt.close()