[julia-users] Jupyter notebook extensions
Hello everyone I found https://github.com/ipython-contrib/IPython-notebook-extensions, which allows you to install some very useful extensions for the Jupyter notebook. One of the extension allows for copy pasting cells across notebooks and picture into a notebook. I thought I would share the knowledge and the installation script I used to install the notebook extensions. The installation script do only work if the python distribution is Anaconda/Miniconda using PyCall if PyCall.conda using Conda conda = Conda.conda else conda = "conda" end dir = mktempdir() cd(dir) do run(`git clone https://github.com/ipython-contrib/IPython-notebook-extensions`) run(`$conda install conda-build`) run(`$conda build IPython-notebook-extensions`) run(`$conda install --use-local nbextensions`) end rm(dir, recursive=true) After installation go to http://localhost:/nbextensions and activate the extensions you like.
Re: [julia-users] Interpolation based on sorted but a priori unknown grid (code review?)
I know https://github.com/kbarbary/Dierckx.jl can interpolate unstructured data into a grid.
[julia-users] Re: debugging "Kernel died" in IJulia
This looks like issue: https://github.com/JuliaLang/IJulia.jl/issues/286
[julia-users] Re: debugging "Kernel died" in IJulia
Unfortunately upgrading to 0.3.7 do not solve the problem on my computer:(
[julia-users] Re: debugging "Kernel died" in IJulia
I installed 0.3.7 removed 0.3.6 and did a Pkg.build("IJulia") in 0.3.7
[julia-users] Re: debugging "Kernel died" in IJulia
Thank you Big Stone, I removed 0.3.7, Ipython, .julia/0.3 and the .ipython folder in my home folder and the installed from fresh and it works:)
Re: [julia-users] Re: GPU-ODE
To complile it in sysimg you need to use the script in: https://github.com/JuliaLang/julia/blob/master/contrib/build_executable.jl I have only used it for building a small application.
[julia-users] Precompilation of PyCall and Color reduce PyPlot load time.
I thought I would share my success with all of you. By making a userimg.jl
in the julia folder containing the following and building the sysimg with
the command bellow, the load time of of PyPlot's can be reduced by a factor
of 3.
>julia -e "tic(); using PyPlot; toc()"
INFO: Loading help data...
elapsed time: 21.096362371 seconds
With custom userimg.jl
>julia -e "tic(); using PyPlot; toc()"
INFO: Loading help data...
elapsed time: 7.611489099 seconds
My userimg.jl contains the following:
## userimg.jl
require("PyCall")
require("Color")
Command for building the sysimg
bin\julia.exe share\julia\build_sysimg.jl --force C:\your_path_here\Julia-
0.3.7\lib\julia\sys native userimg.jl
If `require("PyPlot")` is added to the userimg.jl the sysimg is not usable.
If any of you have ideas for further reducing the load time of PyPlot it
would be greatly appreciated.
[julia-users] Re: Precompilation of PyCall and Color reduce PyPlot load time.
If I add 'PyCall.pyinitialize()' after the 'require("PyCall")' then I get the
following error.
```
error during bootstrap: LoadError(at "sysimg.jl" line 286: LoadError(at
"C:\Users\Hoegh\Julia-0.3.7_test\share\julia\base\userimg.
jl" line 2: ErrorException("could not load module python: The specified module
could not be found.
")))
ERROR: failed process: Process(`'C:\Users\Hoegh\Julia-0.3.7_test\bin\julia' -C
native --build 'C:\Users\Hoegh\Julia-0.3.7_test\lib
\julia\sys0' sysimg.jl`, ProcessExited(1)) [1]
in error at error.jl:22 (repeats 2 times)
while loading C:\Users\Hoegh\Julia-0.3.7_test\share\julia\build_sysimg.jl, in
expression starting on line 167
```
[julia-users] Re: julia to excel using libxl
https://github.com/davidanthoff/ExcelReaders.jl is a wraps of the xlrd Python package.
[julia-users] Re: .jl to .exe
In 0.4 you can use this script: https://github.com/JuliaLang/julia/blob/master/contrib/build_executable.jl. It compiles the functions in the script to the sysimg and makes an exe file that calls a main function.
[julia-users] Error: expected Function, got Int64
Have you tried to restart the REPL, because I see no problems in running: function fib_sum_2(x,y,z) sum(x:x:z) + sum(y:y:z) - sum(lcm(x,y):lcm(x,y):z) end julia> fib_sum_2(3,5,999) 233168
[julia-users] Help to ccall
Hi I hope someone could help me to understand why my code errors. I am trying
to wrap this http://pcre.org/current/doc/html/pcre2_substitute.html function
from the pcre2 library. I am working on latest master as it comes with pcre2.
My wrap look like:
function my_replace(s::AbstractString, pat::Regex, rep_in)
offset=0
subject = bytestring(s)
rep = bytestring(rep_in)
buffer = Array(UInt8, 256)
re = pat.regex
rc = ccall((:pcre2_substitute_8, Base.PCRE.PCRE_LIB), Cint,
(Ptr{Void}, Ptr{UInt8}, Csize_t, Csize_t, Cuint, Ptr{Void},
Ptr{Void}, Ptr{UInt8}, Csize_t, Ptr{UInt8}, Csize_t),
re, subject, sizeof(subject), offset, pat.match_options,
pat.match_data,
Base.PCRE.MATCH_CONTEXT, rep, sizeof(rep), buffer,
sizeof(buffer))
bytestring(pointer(buffer))
end
julia> my_replace("ads10as", r"a(\d+)", "\$1")
Please submit a bug report with steps to reproduce this fault, and any error
messages that follow (in their entirety). Tha
Exception: EXCEPTION_ACCESS_VIOLATION at 0x65811787 -- pcre2_substitute_8 at
(unknown line)
pcre2_substitute_8 at C:\Users\Hoegh\Julia-0.4.0-dev-03-06\bin\libpcre2-8.DLL
(unknown line)
my_replace at none:7
jl_apply_generic at C:\Users\Hoegh\Julia-0.4.0-dev-03-06\bin\libjulia.dll
(unknown line)
jl_interpret_toplevel_expr at
C:\Users\Hoegh\Julia-0.4.0-dev-03-06\bin\libjulia.dll (unknown line)
jl_interpret_toplevel_thunk_with at
C:\Users\Hoegh\Julia-0.4.0-dev-03-06\bin\libjulia.dll (unknown line)
jl_eval_with_compiler_p at
C:\Users\Hoegh\Julia-0.4.0-dev-03-06\bin\libjulia.dll (unknown line)
jl_toplevel_eval_in at C:\Users\Hoegh\Julia-0.4.0-dev-03-06\bin\libjulia.dll
(unknown line)
eval_user_input at REPL.jl:62
jlcall_eval_user_input_1356 at (unknown line)
jl_apply_generic at C:\Users\Hoegh\Julia-0.4.0-dev-03-06\bin\libjulia.dll
(unknown line)
anonymous at task.jl:91
jl_unprotect_stack at C:\Users\Hoegh\Julia-0.4.0-dev-03-06\bin\libjulia.dll
(unknown line)
Re: [julia-users] Help to ccall
Awesome thank you so much, I had missed that the last argument should be a
pointer to the length and not the length. The working version is:
function my_replace(s::AbstractString, pat::Regex, rep_in)
offset=0
Base.compile(pat)
subject = bytestring(s)
rep = bytestring(rep_in)
buffer = Array(UInt8, 256*2)
re = pat.regex
length = Ref{Csize_t}(sizeof(buffer))
rc = ccall((:pcre2_substitute_8, Base.PCRE.PCRE_LIB), Cint,
(Ptr{Void}, Ptr{UInt8}, Csize_t, Csize_t, Cuint, Ptr{Void},
Ptr{Void}, Ptr{UInt8}, Csize_t, Ptr{UInt8}, Ref{Csize_t}),
re, subject, sizeof(subject), offset, pat.match_options,
pat.match_data,
Base.PCRE.MATCH_CONTEXT, rep, sizeof(rep), buffer, length)
println(rc)
bytestring(pointer(buffer))
end
my_replace("adsa10as", r"a(\d+)", " \$1 ")
I will probably make a pull to add this functionality to base, if i can get it
wrapped up nicely.
[julia-users] Re: How to deploy Julia
You can build an binary executable with this script: https://github.com/JuliaLang/julia/blob/master/contrib/build_executable.jl. It compiles the scripts main function into Julia's sysimg. I have used it myself to distribute a small program.
[julia-users] Runtime inference of a function's return type
You can use Julia's type inference as: Base.return_types(max,(Int, Float64)) But remember if the function contains any global non-constant variables the function will most likely return any.
[julia-users] pyinitialize() fails with "Error: could not load module python: no error"
The main problem is how python xy registers the python installation. I switched from the python xy to the anaconda python distribution a year ago to get python working with julia and I have had no problems since.
[julia-users] Re: Error precompiling on Windows 64 (julia 0.4.0 and 0.4.6)
You could try to run Julia with the `--inline=no` flag to see if you get more debug information.
[julia-users] Goto code
Hi the goto needs to be defined within a function. The following works as
intended
julia> function test()
h=-1
@label p
h+=1
if h<3
@goto p
end
println("Done")
end
test (generic function with 1 method)
julia> test()
Done
[julia-users] memory allocation in matrix operations
For your information the foo3 function do not give the correct answer, it simply assign the norm of each column to all rows in the column. Hence foo4 is the fastest and give the correct result as foo3 do not perform the same amount of calculations.
[julia-users] Could not spawn `start /min python -c "print('test')"`
Hi julia-users, This is a Windows specific question, I would like to excute the following: run(`start /min Ipython`) It should open a program in minimized state and the proces does not hang until the program closes. But I get this error: could not spawn `start /min Ipython`: no such file or directory (ENOENT) while loading In[44], in expression starting on line 1 in _jl_spawn at process.jl:217 in spawn at process.jl:348 It works in Command Prompt, Python and other programs with a system interface in my case ANSYS. Is this a bug?
Re: [julia-users] Could not spawn `start /min python -c "print('test')"`
It just feel very unintuitive from a user perspective that it doesn't work as in Python, prompt and other programs. Do you then know how to circumvent that start doesn't exist / how to get the same effects?
Re: [julia-users] Could not spawn `start /min python -c "print('test')"`
Thanks Jacob:)
[julia-users] Re: LibCURL does not build...
I have the exact same problem with LibCURL. I am running Julia 0.3 on
Windows.
Den onsdag den 3. september 2014 21.21.04 UTC+2 skrev Kevin W Li:
>
> This happened when I Pkg.add("IJulia") from a new Julia 0.3:
>
>
> julia> Pkg.add("IJulia")
> INFO: Installing IJulia v0.1.15
> INFO: Installing JSON v0.3.7
> INFO: Installing REPLCompletions v0.0.3
> INFO: Installing ZMQ v0.1.13
> INFO: Building LibCURL
> ===[ ERROR: LibCURL
> ]===
>
> None of the selected providers can install dependency libcurl-4.
> Use BinDeps.debug(package_name) to see available providers
> while loading C:\Users\t-wenlli\.julia\v0.3\LibCURL\deps\build.jl, in
> expression starting on line 13
>
>
> INFO: Building WinRPM
> INFO: Downloading
> http://download.opensuse.org/repositories/windows:/mingw:/win32/openSUSE_13.1//repodata/repomd.xml
> INFO: Downloading
> http://download.opensuse.org/repositories/windows:/mingw:/win64/openSUSE_13.1//repodata/repomd.xml
> INFO: Building Nettle
> ===[ ERROR: Nettle
> ]
>
> None of the selected providers can install dependency nettle.
> Use BinDeps.debug(package_name) to see available providers
> while loading C:\Users\t-wenlli\.julia\v0.3\Nettle\deps\build.jl, in
> expression starting on line 35
>
>
> INFO: Building ZMQ
> INFO: Building IJulia
> Found IPython version 2.1.0 ... ok.
> Creating julia profile in IPython...
> (Existing KernelManager.kernel_cmd setting in ipython_config.py is
> untouched.)
> (Existing IPythonWidget.execute_on_complete_input setting in
> ipython_qtconsole_config.py is untouched.)
> (Existing FrontendWidget.lexer_class setting in
> ipython_qtconsole_config.py is untouched.)
> (Existing NotebookApp.port setting in ipython_notebook_config.py is
> untouched.)
> (Existing ipynblogo.png file untouched.)
> (Existing ipynblogo.svg file untouched.)
> (Existing favicon.ico file untouched.)
> (Existing custom.js file untouched.)
> (Existing julia.js file untouched.)
> [ BUILD ERRORS
> ]
>
> WARNING: LibCURL and Nettle had build errors.
> - packages with build errors remain installed in
> C:\Users\t-wenlli\.julia\v0.3
> - build a package and all its dependencies with `Pkg.build(pkg)`
> - build a single package by running its `deps/build.jl` script
>
>
> INFO: Package database updated
>
>
> There seems to be no problem with downloading so it's different to many
> other problems with were to do with internet connectivity...
>
> I haven't been able to find a solution to this, so any help would be very
> much appreciated. Thanks!
>
> Kevin
>
[julia-users] Profile.print() dies
This is a known issue on windows it is fixed on the master and is coming as in 0.3.1. See issue https://github.com/JuliaLang/julia/issues/8350
[julia-users] Julia 0.3.1 error when installing IJulia
I have updated Julia to 0.3.1 to get rid of the error regarding profiling. When
I tried to install IJulia
I encountered an error see the log. I think it is an error in BinDeps but I am
not sure, can anybody help me?
```
julia> Pkg.add("IJulia")
INFO: Cloning cache of BinDeps from git://github.com/JuliaLang/BinDeps.jl.git
INFO: Cloning cache of HTTPClient from git://github.com/JuliaWeb/HTTPClient.jl.g
it
INFO: Cloning cache of IJulia from git://github.com/JuliaLang/IJulia.jl.git
INFO: Cloning cache of JSON from git://github.com/JuliaLang/JSON.jl.git
INFO: Cloning cache of LibCURL from git://github.com/JuliaWeb/LibCURL.jl.git
INFO: Cloning cache of LibExpat from git://github.com/amitmurthy/LibExpat.jl.git
INFO: Cloning cache of Nettle from git://github.com/staticfloat/Nettle.jl.git
INFO: Cloning cache of REPLCompletions from git://github.com/Keno/REPLCompletion
s.jl.git
INFO: Cloning cache of SHA from git://github.com/staticfloat/SHA.jl.git
INFO: Cloning cache of URIParser from git://github.com/JuliaWeb/URIParser.jl.git
INFO: Cloning cache of URLParse from git://github.com/tanmaykm/URLParse.jl.git
INFO: Cloning cache of WinRPM from git://github.com/JuliaLang/WinRPM.jl.git
INFO: Cloning cache of ZMQ from git://github.com/JuliaLang/ZMQ.jl.git
INFO: Cloning cache of Zlib from git://github.com/dcjones/Zlib.jl.git
INFO: Installing BinDeps v0.3.5
INFO: Installing HTTPClient v0.1.4
INFO: Installing IJulia v0.1.15
INFO: Installing JSON v0.3.8
INFO: Installing LibCURL v0.1.4
INFO: Installing LibExpat v0.0.4
INFO: Installing Nettle v0.1.6
INFO: Installing REPLCompletions v0.0.3
INFO: Installing SHA v0.0.3
INFO: Installing URIParser v0.0.3
INFO: Installing URLParse v0.0.0
INFO: Installing WinRPM v0.1.2
INFO: Installing ZMQ v0.1.13
INFO: Installing Zlib v0.1.7
INFO: Building WinRPM
WARNING: The URLParse.jl package has been deprecated in favour of JuliaWeb/URIPa
rser.jl
https://github.com/JuliaWeb/URIParser.jl
As of Julia 0.4 this package will no longer be installable
through `Pkg.add`. Please convert your code accordingly.
WARNING: skipping repodata/repomd.xml, not in cache -- call WinRPM.update() to d
ownload
WARNING: skipping repodata/repomd.xml, not in cache -- call WinRPM.update() to d
ownload
INFO: Downloading http://download.opensuse.org/repositories/windows:/mingw:/win3
2/openSUSE_13.1//repodata/repomd.xml
INFO: Downloading http://download.opensuse.org/repositories/windows:/mingw:/win3
2/openSUSE_13.1//repodata/ad33f4a5b71009783361067934a560478eeda01c17d4887aad6e91
de3777a0c0-primary.xml.gz
WARNING: encounted invalid data while parsing repomd
===[ ERROR: WinRPM ]
"ErrorException(\"Error parsing document : 0\"), not well-formed (invalid token)
, 1, 1, 1"
while loading C:\Users\Hoegh\.julia\v0.3\WinRPM\deps\build.jl, in expression sta
rting on line 2
INFO: Building LibCURL
INFO: Updating WinRPM package list
INFO: Downloading http://download.opensuse.org/repositories/windows:/mingw:/win3
2/openSUSE_13.1//repodata/repomd.xml
WARNING: encounted invalid data while parsing repomd
===[ ERROR: LibCURL ]===
"ErrorException(\"Error parsing document : 0\"), not well-formed (invalid token)
, 1, 1, 1"
while loading C:\Users\Hoegh\.julia\v0.3\LibCURL\deps\build.jl, in expression st
arting on line 14
INFO: Building Nettle
INFO: Updating WinRPM package list
INFO: Downloading http://download.opensuse.org/repositories/windows:/mingw:/win3
2/openSUSE_13.1//repodata/repomd.xml
WARNING: encounted invalid data while parsing repomd
===[ ERROR: Nettle ]
"ErrorException(\"Error parsing document : 0\"), not well-formed (invalid token)
, 1, 1, 1"
while loading C:\Users\Hoegh\.julia\v0.3\Nettle\deps\build.jl, in expression sta
rting on line 38
INFO: Building ZMQ
INFO: Attempting to Create directory C:\Users\Hoegh\.julia\v0.3\ZMQ\deps\downloa
ds
INFO: Downloading file http://s3.amazonaws.com/julialang/bin/winnt/extras/libzmq
-3.3-x64.zip
% Total% Received % Xferd Average Speed TimeTime Time Current
Dload Upload Total SpentLeft Speed
100 100k 100 100k0 0 153k 0 --:--:-- --:--:-- --:--:-- 153k
INFO: Done downloading file http://s3.amazonaws.com/julialang/bin/winnt/extras/l
ibzmq-3.3-x64.zip
INFO: Attempting to Create directory C:\Users\Hoegh\.julia\v0.3\ZMQ
INFO: Directory C:\Users\Hoegh\.julia\v0.3\ZMQ already created
INFO: Attempting to Create directory C:\Users\Hoegh\.julia\v0.3\ZMQ\deps\usr
7-Zip [64] 9.20 Copyright (c) 1999-2010 Igor Pavlov 2010-11-18
Processing archive: C:\Users\Hoegh\.julia\v0.3\ZMQ\deps\downloads\libzmq-3.3-x64
[julia-users] Julia 0.3.1 error when installing IJulia
My versioninfo is: julia> versioninfo() Julia Version 0.3.1 Commit c03f413* (2014-09-21 21:30 UTC) Platform Info: System: Windows (x86_64-w64-mingw32) CPU: Intel(R) Core(TM) i7-2630QM CPU @ 2.00GHz WORD_SIZE: 64 BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Sandybridge) LAPACK: libopenblas LIBM: libopenlibm LLVM: libLLVM-3.3
[julia-users] Re: Julia LightTable and path to file
You can circumvent the problem by inserting this in the top of a
script/file:
cd(dirname(@__FILE__))
Den søndag den 5. oktober 2014 22.18.55 UTC+2 skrev will ship:
>
> Using readcsv("filename.csv") to get data into an array.
> This works with iJulia if the files are in the same directory.
> As soon I try the same in LightTable and Juno :: it pops up with errors.
> I am currently getting round this by specifying the full path, but don't
> wish to in the future, as it will mean that the code is not portable to
> another machine.
>
> Am I doing something wrong and is there a way to just have the short path
> to what I consider the working directory where all the files are?
>
> Thanks in advance
>
> Will
>
>
Re: [julia-users] Re: Not fun
Would it not make sense to define replace for Int's and ranges like this?
replace(s::String, index::Int, r) = string(s[1:index-1]) * string(r) *
string(s[index+1:end])
replace(s::String, range::UnitRange{Int}, r) = string(s[1:first(range)-1]) *
string(r) * string(s[last(range)+1:end])
Re: [julia-users] Re: Not fun
I know it's slow but is it considered dangerous then please enlighten me. Can it not be acceptable to some extend to sacrifice speed to simplicity, people will do this trick or maybe worse things.
[julia-users] "using HDF5, JLD" fails suddenly
It is probably due to this merged pull-request. https://github.com/JuliaLang/julia/pull/8521 When you are using 0.4 you should not expect that packages is working.
[julia-users] "using HDF5, JLD" fails suddenly
I think if you update to a new nightly it will work because the library has changed to conform to the pull-request.
[julia-users] Re: "using HDF5, JLD" fails suddenly
Sorry for being unclear. I can see you Julia Dev version is build on the 29 September, if you download a new build from today's master and install it I think it might solve the problem.
[julia-users] change ticklabels in colorbar in PyPlot
You just need to make sure the ticks you would like is within the range: using PyPlot data = pi*rand(10, 10) imshow(data,vmin=0, vmax=pi) cbar = colorbar(ticks=[0, pi])
[julia-users] change ticklabels in colorbar in PyPlot
I just did the exact same as the example then i got it working and then changed it to you example. using PyPlot fig, ax = subplots() data = pi*rand(10, 10) cax = ax[:imshow](data,vmin=0, vmax=pi) cbar = fig[:colorbar](cax, ticks=[0, pi]) cbar[:ax][:set_yticklabels]([ "0", "\$\\pi\$"])
[julia-users] join(("1"," ")) removes the space in the end
Hi is there a way to concatenate turple of strings that if the last string
is a space that does not remove it?
join(("1"," "))=="1 "
Re: [julia-users] join(("1"," ")) removes the space in the end
Sorry my mistake I should probably stop programing for to night:)
Den onsdag den 22. oktober 2014 20.07.39 UTC+2 skrev John Myles White:
>
> I suspect Daniel may have thought that join adds "joining" spaces by
> default:
>
> julia> length(join(("1"," ")))
> 2
>
> julia> length(join(("1"," "), " "))
> 3
>
> -- John
>
> On Oct 22, 2014, at 11:05 AM, Stefan Karpinski > wrote:
>
> > The space shouldn't be and isn't removed:
> >
> > julia> join(("1"," "))
> > "1 "
> >
> > This seems like something that would not be different in any version of
> Julia.
> >
> > On Wed, Oct 22, 2014 at 2:00 PM, Daniel Høegh > wrote:
> > Hi is there a way to concatenate turple of strings that if the last
> string is a space that does not remove it?
> > join(("1"," "))=="1 "
> >
> >
> >
>
>
[julia-users] Re: Multiple Plots with Winston
When you use labels they should be escaped properly:
xlabel("\$\\sigma\$ [MPa]")
or
xlabel(L"$\sigma$ [MPa]")
[julia-users] Performance confusions on matrix extractions in loops, and memory allocations
I think the reason why it is slow is due to indexing is making a copy of your data and not passed by reference as in python. This behavior is going to change in 0.4 where subarrays is introduced then the data is not copied. You could try it by. @time v=mat[:,1]; w=mat[:,2] This should take long time and allocate a lot of memory.
[julia-users] Re: Performance confusions on matrix extractions in loops, and memory allocations
I have made a minimum test case: a=rand(1,2) function newsum(a) for i in 1:100 sum(a[:,1])+sum(a[:,2]) end end function newsum(a1,a2) for i in 1:100 sum(a1)+sum(a2) end end @time newsum(a) @time newsum(a[:,1],a[:,2]) elapsed time: 0.073095574 seconds (17709844 bytes allocated, 23.23% gc time) elapsed time: 0.006946504 seconds (244796 bytes allocated) I suggest that a[:,1] is making a copy of the data in the a matrix this is done in each iteration of the first function, but in the second function this is done only once when the function is called like: newsum(a[:,1],a[:,2]).
Re: [julia-users] example for ccall use and fortran
I had a problem about this some time ago and I abandoned it because I could not get it working and then this discussion actually helped solving the problem today. I have opened an issue on it on Github see https://github.com/JuliaLang/julia/issues/9022
[julia-users] Efficiency of julia compiler on a simple program (from a julia newbie)
By wrapping it in a function as:
function test()
tic()
n = 1
x = 0.234
for i = 1:n
x = max(x*x, 1.0-x*x)
end
println(x)
print("Done.")
toc()
end
test() #jit compilation occurs
test() # timing 0.284217675 s
On my machine the original took 26.96566 s
[julia-users] How to generate subplots with 2D and 3D plots?
This works:
ax = fig[:add_subplot](2,1,1, projection = "3d")
xgrid = repmat(x',n,1)
ygrid = repmat(y,1,n)
ax[:plot_surface](xgrid, ygrid, z, rstride=2,edgecolors="k", cstride=2,
cmap=ColorMap("gray"), alpha=0.8, linewidth=0.25)
xlabel("X")
ylabel("Y")
subplot(212)
ax = fig[:add_subplot](2,1,2)
cp = ax[:contour](xgrid, ygrid, z, colors="black", linewidth=2.0)
ax[:clabel](cp, inline=1, fontsize=10)
xlabel("X")
ylabel("Y")
My greatest source of good examples is always:
http://matplotlib.org/gallery.html, and there is a good gist that shows how to
use PyPlot in julia: https://gist.github.com/gizmaa/7214002
[julia-users] Re: Meshgrid in Julia: a working example and possible alternatives
Here is my solution, there is one problem that i do not understand and hope
another can explain. When col=20 W is filled with NaN + NaN*im but for col=10
it work like matlab, I think it is because of overflow.
using PyPlot
col = 10;
m = 400;
cx = -.6;
cy = 0;
l = 1.5;
x = linspace(cx-l,cx + l,m);
y = linspace(cy-l,cy + l,m);
X = repmat(x,1,m)
Y = repmat(y,1,m)'
Z = zeros(m,m);
C = X + im * Y;
W = zeros(Z)
for k = 1:col;
Z = Z.*Z+C
W = exp(-abs(Z));
println(Z[100,100])
end
pcolor(W,cmap=ColorMap("copper"))
By changing the calculation to happen with BigFloats it works.
Z = zeros(BigFloat, m,m);
pcolor(float64(W),cmap=ColorMap("copper"))
[julia-users] Re: Julia and Microsoft Visual Studio
I think Julia would benefit from having a MIT licensed scientific IDE written in Julia similar to the Spyder project in python. But in short term we maybe could leverage the Spyder project, I have hacked a crude implementation of a Julia terminal into the Spyder enviroment using the existing Ipython terminal see: https://bitbucket.org/spyder-ide/spyderlib/pull-request/71/julia-console-for-spyder/diff. If anyone would like to continue the work it would be awesome, for the time being I don't have time.
[julia-users] Re: Julia and Microsoft Visual Studio
I think Julia would benefit from having a MIT licensed scientific IDE written in Julia similar to the Spyder project in python. But in short term we maybe could leverage the Spyder project, I have hacked a crude implementation of a Julia terminal into the Spyder enviroment using the existing Ipython terminal see: https://bitbucket.org/spyder-ide/spyderlib/pull-request/71/julia-console-for-spyder/diff. If anyone would like to continue the work it would be awesome, for the time being I don't have time.
[julia-users] Re: Julia and Microsoft Visual Studio
Spyder is a Matlab like IDE with variableexplore, syntax checker, linter, debugger and profiler. It's ships with many Python distribution that focus on scientific use including WinPython PythonXY and Anaconda. I miss many of the features/helpful tools in an IDE. I am sure they will come to Julia with time.
[julia-users] Re: Julia and Microsoft Visual Studio
Hi Uwe It's my pull-request but I have not worked on it for a while.
[julia-users] removing function completely?
Just restart the terminal.
[julia-users] How to remove from Dict separately 1st and 2nd column?
You need keys and value, they return iterators so call collect on them return a vector a=["a"=>1, "b"=>2] collect(keys(a)) collect(values(a))
[julia-users] QRPackedQ not properly transposed
It has been discussed in:https://github.com/JuliaLang/julia/pull/9170
[julia-users] Re: Plot3D with Julia + PyPlot
I have found a good notebook in https://gist.github.com/gizmaa/7214002
Re: [julia-users] Re: Simple Finite Difference Methods
_ _ _ _(_)_ | A fresh approach to technical computing (_) | (_) (_)| Documentation: http://docs.julialang.org _ _ _| |_ __ _ | Type "help()" for help. | | | | | | |/ _` | | | | |_| | | | (_| | | Version 0.3.3 (2014-11-23 20:19 UTC) _/ |\__'_|_|_|\__'_| | |__/ | x86_64-w64-mingw32 julia> Profile.init() (100,0.001) julia>
[julia-users] serialize a dictionary gives an error
I have a dictionary that like:
Dict{ASCIIString,Array{Array{Float64,2},1}} with 83 entries:
It is generated by reading 350 mb of dlm files. I would like to save so it is
faster reloadable, currently it takes 60s to load from the dlm files. I have
tried to serialize to save the data.
open("test.bin","w") do file
serialize(file,data_bolt)
end
data_new = deserialize(open("test.bin"))
`convert` has no method matching convert(::Type{Int64...}, ::Int64)
while loading In[22], in expression starting on line 2
in convert at base.jl:13
in convert at base.jl:21
in deserialize at serialize.jl:447
But when I try to deserialize I get an error. Do I do something wrong?
I have tried both MAT and HDF5 and they do not seem to have a convenient way of
saving my data structure. I hope some of you guys can help, thanks in advance.
Best regards Daniel Høegh
[julia-users] Re: serialize a dictionary gives an error
Yes it works when I remove the 0.4 syntax:) But when you put using PyPlot in the top it does not work:( It's the "convertalypse." at https://github.com/JuliaLang/julia/issues/8631
Re: [julia-users] Re: serialize a dictionary gives an error
Thanks Tim it works. I really hope someone catch the root of the "convertalypse" soon:)
[julia-users] How save Dict{Any,Int64} ?
You can serialize it see https://groups.google.com/forum/m/?fromgroups#!topic/julia-users/zN7OmKwnG40
Re: [julia-users] Installing packages system-wide
I have made a pull-request on it. See https://github.com/JuliaLang/julia/pull/9699
[julia-users] Speed of Julia when a function is passed as an argument, and a different, but much faster coding.
I have cooked up a minimum test case of you code that displays the problem. If you have the following function test1(f, n) for i=1:n f(i) end end function test2(n) for i=1:n g(i) end end function test3(f, n) for i=1:n invoke(f, (Int,), i) end end g(i) = i test1(g,10) @time test1(g,10_000_000) test2(10) @time test2(10_000_000) test3(g,10) @time test3(g,10_000_000) The output will be: elapsed time: 0.38846745 seconds (320032108 bytes allocated, 35.61% gc time) elapsed time: 1.259e-6 seconds (80 bytes allocated) elapsed time: 0.814524146 seconds (319983728 bytes allocated, 17.09% gc time) I think it's because the compiler cannot inline the function call to g in the loop of test1, due to at next run of test1 f can have changed. this causes it to do a function lookup at each loop step. I think this https://github.com/JuliaLang/julia/pull/9642 will enhance this property at least for test3.
Re: [julia-users] Speed of Julia when a function is passed as an argument, and a different, but much faster coding.
I should probably be mentioned in http://docs.julialang.org/en/latest/manual/performance-tips/. It's also the reason for: f(i) = i @time map(f, rand(1)) @time [f(i) for i in rand(1)] where map is very slow compared to the array comprehension.
[julia-users] Re: Error: zeros(UTF8String, 5)
You can do it with an array comprehension like: ["" for i=1:5]
[julia-users] Re: module PyPlot won't initialize on julia 0.3.5
If you by "graphics in iJulia" mean the plot opens in its own window, like in matlab/python. If you execute `pygui(true)` and then plot something then the plot will open in a window.
[julia-users] Startup slow time when built with userimg.jl
This is also discussed here: https://github.com/stevengj/PyCall.jl/issues/113
[julia-users] Re: line numbers in Jupyter
Hi Select the block then press Esc and then hit l-key. You can see all shortcuts under Help/Keyboard Shortcuts Den tirsdag den 3. november 2015 kl. 10.09.50 UTC+1 skrev 2n: > > > > Is there a way to display line numbers in the code cells in Jupyter > notebooks? >
[julia-users] Re: PyPlot not working on 0.4.0
This has also been seen https://github.com/stevengj/PyCall.jl/issues/209
which is actually an upstream problem with the Continuum Analytics conda
package manager,
see https://github.com/conda/conda/issues/1753#issuecomment-153550914. I
can fix it locally by:
using Conda
Conda.add("matplotlib=1.4.0")
Conda.add("pyqt=4.10")
Den torsdag den 5. november 2015 kl. 20.21.16 UTC+1 skrev jda:
>
> I have two windows computers that I am trying to get working. On one of
> them a couple of un/re-installations fixed the problem. But the second
> computer is still not working. Here is my session on a fresh install on
> the second computer:
>
>_
>_ _ _(_)_ | A fresh approach to technical computing
> (_) | (_) (_)| Documentation: http://docs.julialang.org
>_ _ _| |_ __ _ | Type "?help" for help.
> | | | | | | |/ _` | |
> | | |_| | | | (_| | | Version 0.4.0 (2015-10-08 06:20 UTC)
> _/ |\__'_|_|_|\__'_| | Official http://julialang.org/ release
> |__/ | x86_64-w64-mingw32
>
> julia> versioninfo()
> Julia Version 0.4.0
> Commit 0ff703b* (2015-10-08 06:20 UTC)
> Platform Info:
> System: Windows (x86_64-w64-mingw32)
> CPU: Intel(R) Core(TM)2 Duo CPU E8400 @ 3.00GHz
> WORD_SIZE: 64
> BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Penryn)
> LAPACK: libopenblas64_
> LIBM: libopenlibm
> LLVM: libLLVM-3.3
>
> julia> Pkg.add("PyCall")
> INFO: Cloning cache of BinDeps from git://
> github.com/JuliaLang/BinDeps.jl.git
> INFO: Cloning cache of Compat from git://
> github.com/JuliaLang/Compat.jl.git
> INFO: Cloning cache of Conda from git://github.com/Luthaf/Conda.jl.git
> INFO: Cloning cache of Dates from git://github.com/quinnj/Dates.jl.git
> INFO: Cloning cache of JSON from git://github.com/JuliaLang/JSON.jl.git
> INFO: Cloning cache of PyCall from git://github.com/stevengj/PyCall.jl.git
> INFO: Cloning cache of SHA from git://github.com/staticfloat/SHA.jl.git
> INFO: Cloning cache of URIParser from git://
> github.com/JuliaWeb/URIParser.jl.git
>
> INFO: Installing BinDeps v0.3.19
> INFO: Installing Compat v0.7.7
> INFO: Installing Conda v0.1.8
> INFO: Installing Dates v0.4.4
> INFO: Installing JSON v0.5.0
> INFO: Installing PyCall v1.1.2
> INFO: Installing SHA v0.1.2
> INFO: Installing URIParser v0.1.1
> INFO: Building PyCall
> INFO: Precompiling module Compat...
> INFO: Precompiling module Conda...
> INFO: No system-wide Python was found; got the following error:
> could not spawn `python -c "import distutils.sysconfig;
> print(distutils.sysconfi
> g.get_config_var('VERSION'))"`: no such file or directory (ENOENT)
> using the Python distribution in the Conda package
> INFO: Downloading miniconda installer ...
> INFO: Installing miniconda ...
> Fetching package metadata:
> Solving package specifications: .
> Package plan for installation in environment C:\Users\user\.julia\v0.4\Con
> da\deps\usr:
>
> The following packages will be downloaded:
>
> package|build
> ---|-
> msvc_runtime-1.0.1 |vc9_0 1.1 MB
> conda-env-2.4.4| py27_0 64 KB
> numpy-1.10.1 | py27_023.6 MB
> pyyaml-3.11| py27_2 167 KB
> requests-2.8.1 | py27_0 609 KB
> setuptools-18.4| py27_0 647 KB
> wheel-0.26.0 | py27_1 116 KB
> conda-3.18.3 | py27_0 218 KB
> pip-7.1.2 | py27_0 1.4 MB
>
>Total:28.0 MB
>
> The following NEW packages will be INSTALLED:
>
> msvc_runtime: 1.0.1-vc9_0 [vc9]
> numpy:1.10.1-py27_0
> pip: 7.1.2-py27_0
> setuptools: 18.4-py27_0
> wheel:0.26.0-py27_1
>
> The following packages will be UPDATED:
>
> conda:3.9.1-py27_0 --> 3.18.3-py27_0
> conda-env:2.1.3-py27_0 --> 2.4.4-py27_0
> pyyaml: 3.11-py27_0 --> 3.11-py27_2
> requests: 2.5.3-py27_0 --> 2.8.1-py27_0
>
> Fetching packages ...
> msvc_runtime-1 100% |###| Time: 0:00:00 2.95
> MB/s
> conda-env-2.4. 100% |###| Time: 0:00:00 2.03
> MB/s
> numpy-1.10.1-p 100% |###| Time: 0:00:03 7.28
> MB/s
> pyyaml-3.11-py 100% |###| Time: 0:00:00 2.76
> MB/s
> requests-2.8.1 100% |###| Time: 0:00:00 4.99
> MB/s
> setuptools-18. 100% |###| Time: 0:00:00 4.70
> MB/s
> wheel-0.26.0-p 100% |###| Time: 0:00:00 2.54
> MB/s
> conda-3.18.3-p 100% |###| Time: 0:00:00
[julia-users] Re: build_executable.jl fails in OSX yosemite
Thank you for the fix Tom. I have made a PR to master to fix this see, https://github.com/JuliaLang/julia/pull/14018. I have started a new repository for build_executable to fix it and keep it up to date. It would be nice if you could verify that the branch in https://github.com/dhoegh/BuildExecutable.jl/pull/2 build successfully on OSX. I have a plan to merge it soon, everything seems to work on Travis with your fix of build_sysimg.jl
Re: [julia-users] ANN CustomREPLComepletions - custom string completions in function arguments (HDF5, NetCDF...)
Yes it does, it uses type inference to determine the return type of a function call. This way the determination of the argument type is effect free. You could maybe hook your package into the logic in REPLCompletion.jl in base.
Re: [julia-users] Error with PyPlot
Hi Xavier Gandibleux The problem is you are using a very old version of Julia (0.2.1 released in 2014-02-11). In Julia terms this version is ancient. I presume you installed Julia by apt-get. The easiest way to get the latest stable release is to go to http://julialang.org/downloads/ and download the Generic Linux binaries.
[julia-users] spawn detach process windows
Hi I am trying to open a process that should outlive the parrent process. According to the documentation the detach function should enable this. But if i run: julia>p=spawn(detach(`julia -e "using IJulia; IJulia.notebook()"`)) It starts a notebook server but when i close the Julia terminal where i executed the spawn command the notebook server dies. Is it a bug, or do i do something wrong? Best regards Daniel
[julia-users] spawn detach process windows
Using the detach keyword do not work. The server do still close when the REPL is closed. To simplify it more running julia>spawn(detach(`julia -e "while true end"`)) Spawn a new process stuck in a infinite loop. This process is killed when the REPL is closed on Windows. It do not get killed on linux.
