On 12/14/2013 03:14 AM, Michael Crawford wrote:
I found this piece of code on github
mkdict = lambda row: dict((col, row[col]) for col in cols)
#<<<<<<<<<<<<<<<<<<
Apart form the "lambda" part, explained by others, one point I would note that
makes the whole expression weird and hard to decode is that it uses a mysterious
'cols' coming from nowhere (technically, an unbound variable, also called
"upvalue" in programming). This 'cols' is not even defined in the piece of code
you posted (which is not all reproduced above).
Better would be, in my view, making it an explicit (bound) variable:
mkdict = lambda (cols, row): dict((col, row[col]) for col in cols
Which is just a funny and obscure [*] way to say:
def col_rows (cols, row):
return dict((col, row[col]) for col in cols)
I don't understand how that lambda expression works.
For starters where did row come from?
I'd rather ask: where did 'cols' come from? 'row' is the (only) input var of the
function.
How did it know it was working on data?
The data it actually works on is 'cols' (reason why it should be explicitely
written as input var). 'row' is just an index in cols.
Denis
[*] Obscure, partly because (1) such "wild" 'lambda' function defs do not belong
to Python mainstream coding style and (2) its (of Python) support for such style
of coding is itself rather unpracticle & unreadable (which probably contributes
to (1))
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