Hi,
I am a beginner with matplotlib.
I am trying to analyze huge dataset, the plot would have multiple lines. I
am getting memory error (it fails maxing out ~2.5GB on my system). I am
assuming there are probably ways to simplify the data, I came across
something 'simplify' for 'path', not sure how to use that in my case. My
code looks something as shown below (there are 2 ways I tried), as can be
seen I am using lists, would converting them to numpy arrays significantly
improve things? I am yet to try that. Simplifying function would be best I
guess.
The values on x-axis are cumulative measures (of memory of each element,
element being some basic component in our system) and the y-axis shows
percentage (obtained by
some-count-of-the-element_times_memory-of-the-element/Sum of these for all
elements). If this doesn't make sense, that's ok, the idea is the graph is
expected to not contain sudden crests or troughs.
Method1:
xy_pairs = [x1_vals, y1_vals, x2_vals, y2_vals...]
plt.plot(**xy_pairs)
Method1:
for each_xy_pair:
plt.plot(x_vals, y_vals)
Both of the above methods don't work.
Thanks,
Krishna.
------------------------------------------------------------------------------
SOLARIS 10 is the OS for Data Centers - provides features such as DTrace,
Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW
http://p.sf.net/sfu/solaris-dev2dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
