In ijulia, I tried to run the benchmark fileincluded in the source code
(~/julia/test/perf/micro/perf.jl):
*include(perf.jl)*
Why is that it dose not print out the results in ijulia while it works fine
in Julia itself?
thx!
Hello,
I am new to Julia. I am coming from the background of Matlab. I would like
to get a list of current variables in Julia. In Matlab, when pressing whos
command,I get all
variables. Is there such commands in Julia?
Yeah, at some point in the future I’d like to see if we can imitate the
experimental query() and eval() methods from Pandas.
It’s the fact that those methods were just recently introduced which made me
decide we needed to stop spending time on getting them working right now. We’re
way behind
I think that’s probably because you need to do using DataArrays now.
— John
On Jan 23, 2014, at 2:08 AM, Jon Norberg jon.norb...@ecology.su.se wrote:
is this why I get this on latest julia studio on mac with recently updated
packages:
julia using DataFrames
julia using RDatasets
julia
Sounds like this also might be a version issue. Can you confirm what
versions of Julia, DataFrames, and ODBC you're using? And just for kicks,
what frontend are you using? (e.g. IJulia, terminal, etc)
On Thu, Jan 23, 2014 at 11:24 AM, John Myles White johnmyleswh...@gmail.com
wrote:
Since
There are none at the moment, but Leah Hanson is working on a tool along
these lines.
On Thu, Jan 23, 2014 at 12:16 PM, William Beard wcbear...@gmail.com wrote:
Hello,
I've been wondering what, if any kinds of checks or warnings Julia gives
at compile time, or if there are any packages that
To check Jacob's suggestion about versions mismatch I completely removed
the DataFrames and ODBC packages using Pkg.rm and physically deleted the
directories from disk. I then added them via Pkg.add and Pkg,update.
I am running the julia nightlies build.
julia versioninfo()
Julia Version
Hi
I followed suggestions and looked up help and searched for earlier similar
problem. Found few and tried those out.
For example I set PYTHONPATH and PYTHONHOME variables (Python 2.7 is
running because my path in windows was set to the bin for python).
Then I restarted Julia but I am getting
I do not think you are alone. See:
https://github.com/JuliaLang/julia/pull/5423#discussion_r9100469
If you checkout d3c6b5b8a998c602d7143e2fc20833f4d37f9185, you should be
fine until this gets fixed.
Ivar
kl. 21:12:11 UTC+1 torsdag 23. januar 2014 skrev Adam Kapor følgende:
I get the
Any update on this? Having similar problems on Windows 7 with a fresh
install just this morning.
Seems to be related to some renaming of Stats vs. StatsBase? I've tried
fiddling with this myself within the packages, but haven't been able to
resolve it.
Thanks in advance for all your help, and
Some weeks ago I tried to implement a new type in Julia which should
basically behave like a subtype to an already existing type. Since Julia
does not allow any subtypes of composite types, I wondered about a simple
way to implement this. However, at that time I was not at all aware of all
the
That works, but columns will be Arrays instead of DataArrays. That's
the way it's always worked. If you want them to be DataArrays, then
convert to DataArrays right at the end.
To fix show to support columns that are arrays, we probably need (at
least) to define the following:
countna(da::Array)
Thanks Ivar. My incomplete description (which you have somewhat offensively
labeled as weak) was intentionally so, to avoid hijacking the thread with
my own problem. With your encouragement, however, here is the problem I'm
having, which I suspect is related to the OP's problem: I installed
Run the following:
$ sudo add-apt-repository ppa:staticfloat/julia-deps
$ sudo apt-get update
$ sudo apt-get install julia
The additional repo contains Julia dependencies for Ubuntu 12.04 (found
here: https://launchpad.net/~staticfloat/+archive/julia-deps/)
$ sudo add-apt-repository
Hi Chris,
Unfortunately it’s very difficult for us to support 0.2 anymore because of the
badly breaking Stats - StatsBase renaming. We’d have to rewrite the history of
every repo to resolve this name change, so we chose to instead push everything
up to our current development branches. That
I installed wolfram on my raspberry pi.
Mostly to play with free-form linguistics but I couldn't get it to work.
I considred D, Julia and Wolfram for a raspberry pi project.
But D(dmd) and Julia is not in the apt-get archve for raspberry pi
and wolfram is behind a paywall on other platforms.
A couple of points that expand on Tom’s comments:
(1) We need to add Tom’s definition of countna(a::Array) = 0 to show() wide
DataFrame’s that contain any columns that are Vector’s. I never use DataFrame’s
like that, so I forgot that others might. It’s also impossible to produce such
a
We should hopefully have nightly binaries sometime soon that will help
alleviate some of these issues in the future. I’ve lost track of the work to
provide them, but I know it’s being done.
— John
On Jan 23, 2014, at 6:02 PM, Cgast cmg...@gmail.com wrote:
OK, thanks John and Ivar. I'll
I think of item #3 as a feature, not a bug. I don't like the idea of
auto-conversion. If I choose Vectors, I should not expect them to
support missing values. R sometimes irritates me by adding NA's when I
don't expect it. I'd rather have the error than have NA's sneak in
there. Also, there may be
Thanks! I'm trying out a SharedArray solution now, but wondered if you can
tell me if there's an easy way to reimplement many of the convenience
wrappers on arrays for shared arrays. Eg I get the following errors:
shared_array[1,:]
no method getindex(SharedArray{Float64,2}, Float64,
I would be a lot happier with that feature if we followed the lead of
traditional databases and constantly reminded users which columns are “NOT
NULL”. As it stands, the “types” of a DataFrame don’t tell you whether a column
could contain NA’s or not. If we exposed functionality through
I'd think of #3 as a feature, too.
Just to throw another use case in the ring, if DataFrames with a mix of
Vectors and DataVectors (with NAs) were performant, my co-workers and I
would usually pull in data marking all columns as Vectors, these columns
would remain Vectors, and derived columns
Sounds reasonable. As a temporary measure for people who want that
functionality immediately, I've taken a stab at wrapping pandas in a Julia
package (just as pyplot does for matplotlib),
at https://github.com/malmaud/pandas.
On Thursday, January 23, 2014 10:17:40 AM UTC-5, John Myles White
Just saw that. Seems like a very smart way to get us important functionality
while we continue to push things forward. Would be very cool if we could make
it possible to switch between the Pandas and native Julia implementations
totally seamlessly.
— John
On Jan 23, 2014, at 7:51 PM,
Ok. I’m coming around to this.
How would you do I/O? If we make DataFrames expose a nullable property, we
could plausibly produce vectors instead of data vectors when parsing CSV files.
— John
On Jan 23, 2014, at 7:38 PM, Sean Garborg sean.garb...@gmail.com wrote:
I'd think of #3 as a
Julia and Mathematica are very, very different languages.
Mathematica's underlying model is heavily based on pattern matching and
term rewriting. Most function definitions in Mathematica should really be
thought of as replacement rules
f[x_] := Sin[x^2]
means replace any expression with
Yeah, that seems totally reasonable to me. If we do this in a more formal way,
I’m now onboard.
Let’s add the idea of explicit restrictions on columns that can and can’t
contain NA’s to the spec: https://github.com/JuliaStats/DataFrames.jl/issues/502
— John
On Jan 23, 2014, at 8:21 PM, Sean
The SharedArray object ha a field loc_shmarr which represents the backing
array. So S.loc_shmarr should work everywhere. But you are right, we need
to ensure that the SharedArray can be used just as a regular array.
On Fri, Jan 24, 2014 at 9:00 AM, Madeleine Udell
madeleine.ud...@gmail.comwrote:
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