julia

问题 When I have many elements in an array, Julia REPL only shows some part of it. For example: julia> x = rand(100,2); julia> x 100×2 Array{Float64,2}: 0.277023 0.0826133 0.186201 0.76946 0.534247 0.777725 0.942698 0.0239694 0.498693 0.0285596 ⋮ 0.383858 0.959607 0.987775 0.20382 0.319679 0.69348 0.491127 0.976363 Is there any way to show all elements in the vertical form as above? print(x) or showall(x) put it in an ugly form without line changes. 回答1: NOTE: in 0.7, Base.STDOUT has been renamed

问题 Recognizing that this may be as much a statistical question as a coding question, let's say I have a normal distribution created using Distributions.jl: using Distributions mydist = Normal(0, 0.2) Is there a good, straightforward way that I should go about discretizing such a distribution in order to get a PMF as opposed to a PDF? In R, I found that the actuar package contains a function to discretize a continuous distribution. I failed to find anything similar for Julia, but thought I'd

问题 I have a multi dimensional array in julia: julia> ac.value 3x100x3 Array{Float64,3}: [:, :, 1] = 0.29238 0.0751815 0.00843636 … -0.0143826 0.0403283 0.0225896 0.263146 0.080687 0.000462262 -0.00635778 0.0307563 0.0379104 0.992458 0.986423 0.980587 0.561173 0.55516 0.549105 [:, :, 2] = 0.362155 0.13406 0.0741124 … 0.0231614 0.0156455 0.0121797 0.325581 0.11181 0.0447847 0.0098042 0.0193873 0.0146943 0.914888 0.852297 0.796608 -0.0500265 -0.0551787 -0.0520171 [:, :, 3] = 0.269976 0.108082 0

问题 What is julian way to do yield (and yield from) as python do? Edit: I will try to add small example in python. Think 4x4 chess board. Find every N moves long path chess king could do. Don't waste memory -> make generator of every path. if we sign every position with numbers: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 16 point 0 has 3 neighbors (1, 4, 5). We could find table for every neighbors for every point: NEIG = [[1, 4, 5], [0, 2, 4, 5, 6], [1, 3, 5, 6, 7], [2, 6, 7], [0, 1, 5, 8, 9], [0, 1, 2,

问题 If I have constructed a sparse matrix using the sparse(i, j, k) constructor, how can I then normalize the columns of the matrix (so that each column sums to 1)? I cannot efficiently normalize the entries before I create the matrix, so any help is appreciated. Thanks! 回答1: The easiest way would be a broadcasting division by the sum of the columns: julia> A = sprand(4,5,.5) A./sum(A,1) 4x5 Array{Float64,2}: 0.0 0.0989976 0.0 0.0 0.0795486 0.420754 0.458653 0.0986313 0.0 0.0 0.0785525 0.442349 0

问题 What Julia functions can output a DataFrame so it is converted into text other than the ones shown below? using DataFrames A = DataFrame(randn(10, 7)); print("\n\n\n", "A = DataFrame(randn(10, 7))") print("\n\n\n","print(A)\n") print(A) print("\n\n\n","show(A)\n") show(A) print("\n\n\n","show(A, true)\n") show(A, true) print("\n\n\n","show(A, false)\n") show(A, false) print("\n\n\n","showall(A)\n") showall(A) print("\n\n\n","showall(A, true)\n") showall(A, true) print("\n\n\n","showall(A,

问题 What Julia functions can output a DataFrame so it is converted into text other than the ones shown below? using DataFrames A = DataFrame(randn(10, 7)); print("\n\n\n", "A = DataFrame(randn(10, 7))") print("\n\n\n","print(A)\n") print(A) print("\n\n\n","show(A)\n") show(A) print("\n\n\n","show(A, true)\n") show(A, true) print("\n\n\n","show(A, false)\n") show(A, false) print("\n\n\n","showall(A)\n") showall(A) print("\n\n\n","showall(A, true)\n") showall(A, true) print("\n\n\n","showall(A,

问题 Suppose you define a new composite type in Julia and a variable of that type: type MyType α::Int64 β::Vector{Float64} γ::Float64 MyType(α::Int64, β::Vector{Float64}, γ::Float64) = new(α, β, γ) end mt = MyType(5, [1.2, 4.1, 2], 0.2) Now if you are in REPL mode, you can simply check the value of mt by typing mt and pressing Enter: mt MyType(5,[1.2,4.1,2.0],0.2) If I want to customize the way variables of MyType are displayed, I can define a function and use it like customized_display(mt) :

问题 I have a module in file global.jl which defines a global multidimensional array named "data": module Global export data # GLOBAL DATA ARRAY data = zeros(Int32, 20, 12, 31, 24, 60, 5); end I have a main.jl which uses this global variable: include("global.jl") using .Global println(data[14,1,15,18,0,1]) And I get the following error: $ time /usr/local/julia-1.2.0/bin/julia main.jl ERROR: LoadError: BoundsError: attempt to access 20Ã12Ã31Ã24Ã60Ã5 Array{Int32,6} at index [14, 1, 15, 18, 0, 1]

问题 I have a module in file global.jl which defines a global multidimensional array named "data": module Global export data # GLOBAL DATA ARRAY data = zeros(Int32, 20, 12, 31, 24, 60, 5); end I have a main.jl which uses this global variable: include("global.jl") using .Global println(data[14,1,15,18,0,1]) And I get the following error: $ time /usr/local/julia-1.2.0/bin/julia main.jl ERROR: LoadError: BoundsError: attempt to access 20Ã12Ã31Ã24Ã60Ã5 Array{Int32,6} at index [14, 1, 15, 18, 0, 1]