This is also interest to us - although
about 2 million data points is our maximum so far.
Here is a decimating filter module based
on the Savtsky-Golay method.
steve george <steve_geo@…887…>
Sent by: email@example.com
31/05/2007 06:07 AM
Matplotlib Users firstname.lastname@example.org
[Matplotlib-users] Handling LARGE
We are starting to require plotting large data sets.
600K samples is one second, and we have 20 sec runs
This takes approx 5 min to draw the plots on screen.
Then if you want to zoom, … well go get a cup of coffee, … not very
- Is MatPlotLib the right tool for large data sets, … should I be
looking at something else?
- Given nothing else better, I’m looking for suggestions how to handle
this size data.
My initial thoughts, … display a low res graph, then have some movable
markers in the low res graph and the main graph would only show the
contents between those markers.
( ala some sound editing programs )
This would mean I need to filter/decimate the data for the low res
graph, … and a quick search on the web didn’t seem to turn up any
python way of doing this, … anyone know of any existing python tool set
to do this, before I re-invent the wheel?
Thanks for any input
SGfilter.py (1.81 KB)
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