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I am aware of using the magic command %timeit in an IPython notebook to time individual functions.

However, I currently need to supply the time required to execute the calculations of an entire IPython notebook. How can I do this?

One option would be to save the IPython notebook as a Python file with extension .py and then run the entire time feature in the command line.

However, I am dealing with several calls of the matplotlib functions and pylab. This make take so long there are runtime errors.

How does one do this?

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You can:

  1. Export the notebook as *.py file.
  2. Create a new notebook.
  3. Copy the whole content of the *.py file into one cell of this notebook.
  4. Time this cell with %%timeit (note the double %) by adding this command in the first line.

You might need to edit the cell content as magic % commands are commented out. Likely that you don't want to measure the time for invoking things like %matplotlib inline. Therefore, moving these magic commands into a separate cell seems sensible.

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3 Comments

there may be an easier way using runipy - but I am not sure if it's already fully compatible with ipython-4.x
@cel runipy looks interesting. Timing notebook_instance.run_notebook() might time all sorts of internal setup code in addition to the algorithms in the notebook. Does it provide explicit timing support?
I don't think so, I guess the results are only accurate if the overhead of runipy is small compared to the notebook execution size.

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