I'm using SciKit-Learn's OneHotEncoder to encode some categorical features. However, the time complexity of the function seems to have an exponential dependence on the number of rows passed to it.

I would like to profile my code to figure out what's going on, particularly, I would like to use cumulative time to rank the profiler's output. I'm using Jupyter notebooks to write the code, how can this be achieved?


1 Answer 1


Jupyter has built in "cell magics", one of those cell magics is the prun function.

To use it, you put a call to prun at the top of the cell. For example:


The %% at the beginning of the command tells Jupyter that this is a Cell Magic, if you don't include this, you'll get a syntax warning. To rank by cumulative time, you use the -s option and pass it "cumulative time":

%%prun -s "cumulative"

This will profile the code in your cell and show you the output in a pop-up box on the bottom of your screen.


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