NOTICE: This version of the NSF Unidata web site (archive.unidata.ucar.edu) is no longer being updated.
Current content can be found at unidata.ucar.edu.
To learn about what's going on, see About the Archive Site.
Hi I am trying to profile my NetCDF4-python code to see how to improve read performance, which I have identified as the bottleneck. I have done this using kcachegrind and line_profiler. I want to delve a bit deeper into the library to see where the performance is dropping. I can't work out how to use line_profiler with the @profile decorator in the variable class. I also can't work out how to get kcachegrind to delve into the library because the slicing syntax var[...] is not an explicit function call, and I can't get var.__getitem__() to do the same thing. Does anyone have any ideas how I could get more information from profiling the netcdf4 library? Many thanks Matt ---------------------------------------- Matthew Jones PhD Student Atmosphere, Oceans and Climate Department of Meteorology, University of Reading Room 288, ESSC, Harry Pitt Building, 3 Earley Gate, Reading, RG6 6AL, UK https://www.linkedin.com/pub/matthew-jones/8b/b81/25a http://www.met.reading.ac.uk/users/users/1887
netcdfgroup
archives: