On 11/11/2015 18:38, Sebastian Berg wrote:
Sounds fine to me, and considering the squeeze logic (which I think is
unfortunate, but it is not something you can easily change), I would be
for simply adding logic to accept a single integral argument and
otherwise not change anything.
[...]
As said
On Di, 2015-11-10 at 17:39 +0100, Irvin Probst wrote:
> On 10/11/2015 16:52, Daπid wrote:
> > 42, is exactly the same as (42,) If you want a tuple of
> > tuples, you have to do ((42,),), but then it raises: TypeError: list
> > indices must be integers, not tuple.
>
> My bad, I wrote tha
On 10/11/2015 16:52, Daπid wrote:
42, is exactly the same as (42,) If you want a tuple of
tuples, you have to do ((42,),), but then it raises: TypeError: list
indices must be integers, not tuple.
My bad, I wrote that too fast, please forget this.
I think loadtxt should be a tool to r
On Di, 2015-11-10 at 10:24 -0500, Benjamin Root wrote:
> Just pointing out np.loadtxt(..., ndmin=2) will always return a 2D
> array. Notice that without that option, the result is effectively
> squeezed. So if you don't specify that option, and you load up a CSV
> file with only one row, you will g
On 10 November 2015 at 16:07, Irvin Probst
wrote:
> I know this new behavior might break a lot of existing code as
> usecol=(42,) used to return a 1-D array, but usecol=42, also
> returns a 1-D array so the current behavior is not consistent imho.
42, is exactly the same as (42
Just pointing out np.loadtxt(..., ndmin=2) will always return a 2D array.
Notice that without that option, the result is effectively squeezed. So if
you don't specify that option, and you load up a CSV file with only one
row, you will get a very differently shaped array than if you load up a CSV
fi
On 10/11/2015 14:17, Sebastian Berg wrote:
Actually, it is the "sequence special case" type ;). (matlab does not
have this, since matlab always returns 2-D I realized).
As I said, if usecols is like indexing, the result should mimic:
arr = np.loadtxt(f)
arr = arr[usecols]
in which case a 1-D a
On Di, 2015-11-10 at 10:24 +0100, Irvin Probst wrote:
> On 10/11/2015 09:19, Sebastian Berg wrote:
> > since a scalar row (so just one row) is read and not a 2D array. I tend
> > to say it should be an array-like argument and not a generalized
> > sequence argument, just wanted to note that, since
On 10/11/2015 09:19, Sebastian Berg wrote:
since a scalar row (so just one row) is read and not a 2D array. I tend
to say it should be an array-like argument and not a generalized
sequence argument, just wanted to note that, since I am not sure what
matlab does.
Hi,
By default Matlab reads ever
On Mo, 2015-11-09 at 20:36 +0100, Ralf Gommers wrote:
>
>
> On Mon, Nov 9, 2015 at 7:42 PM, Benjamin Root
> wrote:
> My personal rule for flexible inputs like that is that it
> should be encouraged so long as it does not introduce
> ambiguity. Furthermore, Allowing a scal
On Mon, Nov 9, 2015 at 7:42 PM, Benjamin Root wrote:
> My personal rule for flexible inputs like that is that it should be
> encouraged so long as it does not introduce ambiguity. Furthermore,
> Allowing a scalar as an input doesn't add a congitive disconnect on the
> user on how to specify multi
My personal rule for flexible inputs like that is that it should be
encouraged so long as it does not introduce ambiguity. Furthermore,
Allowing a scalar as an input doesn't add a congitive disconnect on the
user on how to specify multiple columns. Therefore, I'd give this a +1.
On Mon, Nov 9, 201
Hi,
I've recently seen many students, coming from Matlab, struggling against
the usecols argument of loadtxt. Most of them tried something like:
loadtxt("foo.bar", usecols=2) or the ones with better documentation
reading skills tried loadtxt("foo.bar", usecols=(2)) but none of them
understood t
> data = loadtxt('18B180.dat', skiprows = 1, usecols = xrange(1,46))
On Sat, Jul 12, 2008 at 04:35:20PM +0200, Lorenzo Bolla wrote:
> why not using:
or data = loadtxt('18B180.dat', skiprows=1, unpack=True)[1:]
>
> obviously, you need to know how many columns you have.
Or not, if you don't mind th
why not using:
data = loadtxt('18B180.dat', skiprows = 1, usecols = xrange(1,46))
obviously, you need to know how many columns you have.
hth,
L.
On Sat, Jul 12, 2008 at 10:07:06AM -0400, Bryan Fodness wrote:
> i would like to load my data without knowing the length, i have explicitly
> stated the
i would like to load my data without knowing the length, i have explicitly
stated the rows
data = loadtxt('18B180.dat', skiprows = 1, usecols =
1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45))
and would like to use some
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