I'm beginning to appreciate the value of lambda expressions in python, particularly when it comes to functional programming, map
, functions returning functions, etc. However, I've also been naming lambdas within functions because:
- I need the same functionality several times and don't want to repeat code.
- The functionality is specific to the function in which it appears; its not needed elsewhere.
When I encounter a situation that meets the above criteria, I've been writing a named lambda expression in order to DRY and narrowly scope functionality. For example, I am writing a function that operates on some numpy
arrays, and I need to do some moderately tedious indexing of all the arrays passed to the function (which can easily fit on a single line). I've written a named lambda expression to do the indexing instead of writing a whole other function or copy/pasting the indexing several times throughout the function definition.
def fcn_operating_on_arrays(array0, array1):
indexer = lambda a0, a1, idx: a0[idx] + a1[idx]
# codecodecode
indexed = indexer(array0, array1, indices)
# codecodecode in which other arrays are created and require `indexer`
return the_answer
Is this an abuse of python's lambdas? Should I just suck it up and define a separate function?
Edits
Probably worth linking function inside function.