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| Started by | PythonDude <mjoerg.phone@gmail.com> |
|---|---|
| First post | 2015-11-13 07:37 -0800 |
| Last post | 2015-11-16 00:02 -0800 |
| Articles | 3 — 2 participants |
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numpy column_stack - why does this work? PythonDude <mjoerg.phone@gmail.com> - 2015-11-13 07:37 -0800
Re: numpy column_stack - why does this work? Ian Kelly <ian.g.kelly@gmail.com> - 2015-11-13 10:16 -0700
Re: numpy column_stack - why does this work? PythonDude <mjoerg.phone@gmail.com> - 2015-11-16 00:02 -0800
| From | PythonDude <mjoerg.phone@gmail.com> |
|---|---|
| Date | 2015-11-13 07:37 -0800 |
| Subject | numpy column_stack - why does this work? |
| Message-ID | <0b4725a8-a040-4bfb-b046-81c2e529447a@googlegroups.com> |
Hi all,
Just a quick question about this code-piece (it works, I've tested it):
means, stds = np.column_stack([
getMuSigma_from_PF(return_vec)
for _ in xrange(n_portfolios) ])
1) I understand column_stack does this (assembles vectors vertically, side-by-side):
>>> a = np.array((1,2,3)) # NB: a is row-vector: {1 2 3}
>>> b = np.array((2,3,4)) # NB: b is also a row-vector...
>>> np.column_stack((a,b))
array([[1, 2],
[2, 3],
[3, 4]])
2) I understand the underscore is just a "dummy variable" in the last line "for _ in xrange(n_portfolios)" - this also looked a bit confusing to me, at first...
3) I DON'T understand why the code doesn't look like this:
means, stds = np.column_stack([
for _ in xrange(n_portfolios):
getMuSigma_from_PF(return_vec) ])
???
Any comments/advice/hints, I would appreciate from you, thank you!
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| From | Ian Kelly <ian.g.kelly@gmail.com> |
|---|---|
| Date | 2015-11-13 10:16 -0700 |
| Message-ID | <mailman.293.1447435057.16136.python-list@python.org> |
| In reply to | #98745 |
On Fri, Nov 13, 2015 at 8:37 AM, PythonDude <mjoerg.phone@gmail.com> wrote:
> Hi all,
>
> Just a quick question about this code-piece (it works, I've tested it):
>
> means, stds = np.column_stack([
> getMuSigma_from_PF(return_vec)
> for _ in xrange(n_portfolios) ])
>
>
> 1) I understand column_stack does this (assembles vectors vertically, side-by-side):
>
>>>> a = np.array((1,2,3)) # NB: a is row-vector: {1 2 3}
>>>> b = np.array((2,3,4)) # NB: b is also a row-vector...
>>>> np.column_stack((a,b))
> array([[1, 2],
> [2, 3],
> [3, 4]])
>
> 2) I understand the underscore is just a "dummy variable" in the last line "for _ in xrange(n_portfolios)" - this also looked a bit confusing to me, at first...
>
> 3) I DON'T understand why the code doesn't look like this:
>
> means, stds = np.column_stack([
> for _ in xrange(n_portfolios):
> getMuSigma_from_PF(return_vec) ])
Because that would be invalid syntax; you can't put a for loop inside
an expression like that. Your question is not about numpy.column_stack
at all, but about list comprehensions. I suggest you start by reading
this:
https://docs.python.org/3/tutorial/datastructures.html#list-comprehensions
Then if you're still confused, come back and ask further questions.
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| From | PythonDude <mjoerg.phone@gmail.com> |
|---|---|
| Date | 2015-11-16 00:02 -0800 |
| Message-ID | <96d95669-5cf5-4a33-ba51-878edd975e48@googlegroups.com> |
| In reply to | #98751 |
On Friday, 13 November 2015 18:17:59 UTC+1, Ian wrote: > On Fri, Nov 13, 2015 at 8:37 AM, PythonDude <mjoexxxxx.com> wrote: > > 3) I DON'T understand why the code doesn't look like this: > > > > means, stds = np.column_stack([ > > for _ in xrange(n_portfolios): > > getMuSigma_from_PF(return_vec) ]) > > Because that would be invalid syntax; you can't put a for loop inside > an expression like that. Your question is not about numpy.column_stack > at all, but about list comprehensions. I suggest you start by reading > this: > > https://docs.python.org/3/tutorial/datastructures.html#list-comprehensions > > Then if you're still confused, come back and ask further questions. Thank you very much, I'll look careful into that before asking again :-)
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