In [1]:
import matplotlib.pyplot as plt
import numpy as np
In [2]:
def plot_hist(file, bins=256):
plt.hist(np.fromfile(file, np.uint8), bins=bins)
plt.show()
In [3]:
plot_hist('test100M.bin')
In [4]:
plot_hist('Koran.txt')
In [5]:
plot_hist('xor_vs_aes.html')
In [6]:
plot_hist('/bin/sh')
In [7]:
!file '/bin/sh'
In [8]:
plot_hist('/bin/grep')
In [9]:
plot_hist('/home/deadeye/Dokumente/UserManual_ST200.pdf')
# sieht so nach kompression aus...
In [10]:
import requests
from IPython.display import display, HTML
In [11]:
req = requests.get('http://heise.de')
display(HTML(req.text))
In [12]:
print(req.text[:200])
In [13]:
heise_data = np.frombuffer(bytearray(req.text.encode()), np.uint8)
In [14]:
plt.hist(heise_data, bins=256)
plt.show()
In [15]:
plot_hist('../Pictures/Screenshot_20170924_212201.png')
