Graphs the distribution of floating point numbers by generating bytes and interpreting them as floats

float_graph.py

from ctypes import c_float
from os import urandom
import seaborn as sns
import matplotlib.pyplot as plt
from math import isfinite

def gen_floats(N):
    out = []
    while len(out) < N:
        b = bytearray(urandom(4096))
        for i in range(1024):
            n = c_float.from_buffer(b[i * 4:]).value
            if isfinite(n):
                out.append(n)
    return out

numbers = gen_floats(10000000)

sns.set(color_codes=True)
plot = sns.distplot(numbers)
plot.set_yscale('log')
fig = plot.get_figure()
fig.savefig('test_log.png')