I am trying to use matplotlib (for the first time) to graph the address space usage of an application against time. The data is written to a log file by trace statements throughout the source code of the application. The trace statements contain the current address space usage as well as a timer value with millisecond granularity.
My data in the y-axis (address space usage) is fairly uniform (0-2000 MB values), but my data in the x-axis (the time at which the the trace statements were executed) is highly clustered. For example, I have approximately 150 data points over a 5 minute run, but some of the data points are only 10ms apart. I would like to annotate each point on the graph with the line number in the log file so that the user can look up what was happening at that point. I have succeeded, but the graph isn't readable because there is so much overlap in the points. Is there a standard way that people display data like this? I don't really like the idea of equally spacing all of the points along the x-axis because you lose the understanding of the timing. One idea I had was to have some sort of vertical break in the graph at areas where there was a long gap without a data point, but I have no idea whether it's possible to implement something like that in matplotlib. The output format hasn't been strictly specified, so if you have any ideas of how I can produce a useful graph, I would be happy to hear them. Thanks, Dave ------------------------------------------------------------------------------ Achieve Improved Network Security with IP and DNS Reputation. Defend against bad network traffic, including botnets, malware, phishing sites, and compromised hosts - saving your company time, money, and embarrassment. Learn More! http://p.sf.net/sfu/hpdev2dev-nov _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
