I am trying to graph bandwidth over time. I am trying to get a grip on the details of how my ISP throttles high amounts of traffic. like when I upload a 300 mb video. I am collecting data during the upload, but I am having trouble understanding the raw numbers. Pretty sure a graph will show me what I expect to see, and maybe help me get the exact numbers I am looking for: bandwidth drops to X after Y something.
I am guessing this will easy for someone familiar with matplotlib. I have been looking at docs and example, cant figure it out. Thus my cry for help post. my data looks like this: uploadlog.csv: seconds from midnight, timestamp, bytes sent (accumulative over a 300mb upload) Here is something that calcs the deltas that I think I need. #!/usr/bin/python import datetime import csv import StringIO import pprint log="""56521.93324, 2011-06-24 15:42:01.933240, 0 56521.933569, 2011-06-24 15:42:01.933569, 1292 56521.933722, 2011-06-24 15:42:01.933722, 1488 56522.022575, 2011-06-24 15:42:02.022575, 16488 56522.023069, 2011-06-24 15:42:02.023069, 31488 56522.03704, 2011-06-24 15:42:02.037040, 46488 56522.079995, 2011-06-24 15:42:02.079995, 61488 56522.080119, 2011-06-24 15:42:02.080119, 76488 56522.116328, 2011-06-24 15:42:02.116328, 91488""" # reader = csv.reader(open('uploadlog.csv', 'rb')) reader = csv.reader(StringIO.StringIO(log)) i=0 dat = [] last_sec, last_bytes = 0,0 for row in reader: sec=float(row[0]) bytes_sent = int(row[2]) if last_sec: duration=sec - last_sec chunk = bytes_sent - last_bytes bps = chunk/duration dat.append( [chunk,duration,bps] ) last_sec = sec last_bytes = bytes_sent pprint.pprint(dat) """ [[1292, 0.00032900000223889947, 3927051.645008286], [196, 0.00015300000086426735, 1281045.7443976079], [15000, 0.08885300000110874, 168818.16033012758], [15000, 0.00049399999988963827, 30364372.476419158], [15000, 0.013971000000310596, 1073652.5660057638], [15000, 0.042954999997164123, 349202.65396322421], [15000, 0.00012399999832268804, 120967743.57177937], [15000, 0.036208999998052604, 414261.6476789398]] """ -- Carl K ------------------------------------------------------------------------------ All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2d-c2 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users