dump() also have a second parameter `depth`, that can be increased if you
want the full dump.
kl. 07:30:51 UTC+2 torsdag 7. august 2014 skrev Tony Fong følgende:
Thanks for the report. Glad it helps.
On Thursday, August 7, 2014 1:03:28 AM UTC-4, Steve Kelly wrote:
Guys, thanks for the
Keno: How do you paint the triangles? As bitmap, or via mesh pattern
http://cairographics.org/manual/cairo-cairo-pattern-t.html#cairo-pattern-create-mesh?
On Thursday, August 7, 2014 12:54:43 AM UTC+2, Keno Fischer wrote:
I have some code that does this for a triangular mesh, using Cairo.jl
I was using bitmaps, but the mesh pattern looks interesting. I'll have to
take a look.
On Thu, Aug 7, 2014 at 3:07 AM, Andreas Lobinger lobing...@gmail.com
wrote:
Keno: How do you paint the triangles? As bitmap, or via mesh pattern
Hi Simon,
thanks that would be very helpful! I would like to start digging into the
graphics library and it would be great to see how code is put together,
function called etc...
the matlab patch command is called like this:
patch(X,Y,C) - where X, Y, and C are arrays with the x-coord, the
Hi Keno,
thanks for the message, it would great to take a look at your code, I would
like to become a little more familiar with the graphics library,
thanks
andrea
On Wednesday, 6 August 2014 23:54:43 UTC+1, Keno Fischer wrote:
I have some code that does this for a triangular mesh, using
Hello colleague,
On Thursday, August 7, 2014 9:10:14 AM UTC+2, Keno Fischer wrote:
I was using bitmaps, but the mesh pattern looks interesting. I'll have to
take a look.
I patched a local version of Cairo.jl for the mesh patterns, but did not
contribute (PR) because this fixes the
Is this easy enough?
julia x = reshape(1:16, 4, 4)
4x4 Array{Int64,2}:
1 5 9 13
2 6 10 14
3 7 11 15
4 8 12 16
julia a = x[1,:]
1x4 Array{Int64,2}:
1 5 9 13
julia [a == x[k,:] for k = 1:size(x,1)]
4-element Array{Any,1}:
true
false
false
false
julia any([a == x[k,:]
This is great,
just what i am looking for.
But when i try to use it, it says
ERROR: @showln not defined
i use the newest julia version,
i tryed different types of importing this macro...
any idea?
thanks
-Matthias
The @showln macro was not merged because Tim closed it because nobody
commented positively for a week. We try to limit the number of exports in
Julia Base, and we try to not have too many related concepts to do almost
the same thing. I don't have a strong opinion on this, but Stefan's
A problem with @showln is that it is visually confusing with @showIn (with
a capital i instead of a lowercase L).
kl. 11:50:25 UTC+2 torsdag 7. august 2014 skrev Ivar Nesje følgende:
The @showln macro was not merged because Tim closed it because nobody
commented positively for a week. We try
Hello,
on the download web page (http://julialang.org/downloads/) there is
still RC1 announced, but if you click on any of the download links you
get the 0.3 RC2 version.
Perhaps the web site should be updated.
Best regards and thanks for the good work!
Uwe
Or you can use Base.Meta.show_sexpr to show the representation of an AST more
succinctly.
Thank you,
this works for me
And Stephen Vavasis writes:
You say that probably no improvement would be possible if 'fast'
updating were available for immutable in my code. In this case, why
is there such a huge difference between fast and slow updating for
the non-immutable case? Is there some optimization available in
This is great! Thank you very much for the reply!!
On Wednesday, August 6, 2014 11:34:54 PM UTC-4, Taylor Maxwell wrote:
I haven't seen code to do it yet but it is very simple to calculate with a
LinearModel from GLM Below is some code to calculate r-squared or adjusted
r-squared from a
This doesn't seem quite right: assuming the model has an intercept, SStot
is traditionally the sum of squares of the intercept only model (i.e.,
sumabs2(y
- mean(y)). You can see this if you add a constant to the first column of dd,
which should not change R^2 but instead results in an
Sorry, I threw it up quickly, I should have spent more time making sure it
was correct.
On Thursday, August 7, 2014 8:17:22 AM UTC-6, Simon Kornblith wrote:
I've noticed that the 'in' function appears to accept any pair of
arguments; it returns 'false' in the case that the arguments make no sense.
I suppose that some file has defined in(x::Any,y::Any) to be false. Why
is this so? This definition appears to impede debugging because, for
example,
These are the methods of in:
julia methods(in)
# 14 methods for generic function in:
in{T:Integer}(x,r::Range{T:Integer}) at range.jl:566
in(x,r::Range{T}) at range.jl:562
in(x::Number,y::Number) at number.jl:40
in(n::Integer,s::IntSet) at intset.jl:125
in(p::(Any,Any),a::Associative{K,V}) at
Stefan,
Here are some meaningless examples of in(.,.) that do not give an error
message:
julia VERSION
v0.3.0-rc2+12
julia x = IntSet([3,5])
IntSet([3, 5])
julia in(3,x)
true
julia in(x,3)
false
julia in(abc,19)
false
julia in(19,abc)
false
-- Steve
On Thursday, August 7, 2014
Thanks to both for the responses.
Related questions: how does one turn a 2-dimensional array into a
1-dimensional array of row arrays? Also, the default behavior of julia
is that a row of a 2-dimensional array is also a 2-dimensional array.
Would anyone comment why this is the case? Should
So the trouble here is a) we don't have an abstract type for collections,
and b) numbers and strings are both iterable. So all of these end up
working, just not how you'd expect. If you iterate 19, it yields itself
once, which is not equal to abc. If you iterate abc, you get 'a' then
'b' then 'c',
I opened an issue to discuss how to improve this:
https://github.com/JuliaLang/julia/issues/7903
On Thu, Aug 7, 2014 at 7:33 PM, Stefan Karpinski ste...@karpinski.org
wrote:
So the trouble here is a) we don't have an abstract type for collections,
and b) numbers and strings are both
Hi All,
I'm quite new to Julia and I've been trying to work with the DataFrame
package and I've come up against an issue with readtable when I try to
import a txt or csv file. It's exactly the same issue as the issue
reported here https://github.com/JuliaStats/DataFrames.jl/issues/356,
that
Johan's approach is actually very elegant (and pythonic).
On Monday, 13 January 2014 23:00:25 UTC, John Myles White wrote:
FWIW, I really like Johan's approach.
For me, the main difficulty with emulating R's interface is that the
current version of `rand` is a method that takes exactly one
Now, it looks like you're doing it right. I expected this, see
https://github.com/timholy/Grid.jl/pull/38. This is part of what I meant by
refactoring :). However, for image interpolation even further savings beyond
that pull request are possible: for example, you only need one call to floor
Please try upgrading to 0.3(rc) to get the latest changes. DataFrames
itself claims to support 0.2, but perhaps some dependency does not, so
0.4.3 might be the last resolvable version... There are many improvements
in 0.3 and it has been actively used by a large number of people for months
now, so
Hi Wally, I ran your code for a couple of hours today, but it never
crashed for me. Can you tell me what I should do to reproduce?
On Thu, Aug 7, 2014 at 3:03 PM, yaoismyh...@gmail.com wrote:
Edit: I got rid of the collect function in the code, and while very slow,
the code does what I
Hi Isaiah,
Using 0.3 worked like a charm and thanks for the prompt reply!
Cheers
Phil
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