Write a python function which reads and processes the data, and, for each datum, if the bytes uploaded value is greater than 50% of the bytes downloaded value in that interval, your program should keep a record of that machine. At the end of processing, the program should print out all such unique machines (by MAC address – each computer should appear once in the output), as well as the number of times the above condition was true for that machine (i.e. how many times during the entire period that it uploaded “too much” data). the output should be in HTML table format.
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Html in python
Code:def data(): f = open("C:\Users\user\Desktop\data-transfers.txt","r") w = open("C:\Users\user\Desktop\data-transfers.html","w") w.write('<html><head><title>Table showing MAC addresses of Computers with unusual Activity</title></head>\n') w.write('<body><table border = 2><tr><th>Mac Address</th><th>Number of times unusual activity noticed</th></tr>\n') i = 1 d = dict() x = f.readlines() for line in x: t = line.split() p,q,r = t[0], float(t[3]), float(t[4]) if r>(0.5*q): if not d.has_key(p): d[p] = i d[p] += 1 pass for k,v in d.items(): (w.write(('<tr><td>%s</td><td>%i</td>') % (k,v))) w.write('</table></body></html>') w.close() -
Nonemsludo,
Thank you for posting. Please use code tags when posting code. Are you asking a question or sharing a solution? I moved your thread from the Python Insights forum because you provided no explanation of the purpose of the thread.
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