----- Mensaje original ----
> De: Eric Firing <efir...@hawaii.edu>
>
> import matplotlib.cbook as cbook
>
> def to_sequence(arg):
> if cbook.is_iterable(arg):
> return arg
> return [arg]
>
> Above is an example of how one can turn a scalar into a sequence (a list, in
> this case) if necessary.
When I enter this into ipython, I get:
In [67]: to_sequence(1)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
/home/jscandal/sw/python/myimports.py in <module>()
----> 1
2
3
4
5
/home/jscandal/sw/python/myimports.py in to_sequence(arg)
1
----> 2
3
4
5
AttributeError: 'module' object has no attribute 'is_iterable'
I have matplotlib 0.98.5.2, and it seems is_iterable is not there.
> Different types of sequence have different advantages and disadvantages.
> Tuples
> are immutable. Lists are much more flexible, and can be extended. ndarrays
> are
> fixed-size, but facilitate efficient computation.
>
> If a function or method accepts any kind of sequence for a given argument,
> then
> probably the thing to do is give it whatever you have already, or whatever is
> most convenient to generate. Lists are a good default if the sequence has
> only
> a few elements and you are writing them out, rather than calculating them
> from
> some other sequence. In other words, if a function is flexible, then trust
> the
> function to do whatever conversions it needs internally; there is no
> particular
> advantage in doing the conversion yourself when you specify the argument.
>
Thanks for the hints, I guess I get a bit frustrated or lost sometimes. Trying
to get work done while being at the bottom of the learning curve might not be
the best situation. I have the feeling, though, that I had to switch this way
or else I would never really do it at all. I've been wanting to play with
python for a long time now, but never did anything more than hello world
examples. Until now ;)
Jorge
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