ndims() 是julia中的内置函数,用于返回指定数组 A。 语法:ndims(A::AbstractArray) 参数:A:指定数组 返回:返回指定数组A的维数。 示例1: # Julia program to illustrate # the use of Array ndims() method # Finding the number of dimension of # the specified array A. A=fill(1,3); println(ndims...
julia> [1,2,3] # An array of `Int`s 3-element Array{Int64,1}: 1 2 3 julia> promote(1, 2.3, 4//5) # This combination of Int, Float64 and Rational promotes to Float64 (1.0, 2.3, 0.8) julia> [1, 2.3, 4//5] # Thus that's the element type of this Array 3-element Arr...
Value:待填入数组 Dimension:所需的数组大小 返回值:它返回一个 nXn 维度的数组,每个元素作为指定值。 例: # Julia program to illustrate# the use of Arrayfill() method# Creating a 1D array of size 4# with each element filled with value 5A =fill(5, 4) println(A)# Creating a 2D array of...
# the use of Array reshape() method # Getting an array with the same data # as the specified 1D array, but with # (2 * 2) dimension sizes. A=[1,2,3,4]; println(reshape(A,(2,2))) # Getting an array with the same data # as the specified 2D array, but with # (4 * 4)...
function_copy!(P::PermutedDimsArray{T,N,perm}, src)where{T,N,perm} #If dest/src are "close to dense," then it pays to be cache-friendly. #Determine the first permuted dimension d=0#d+1 will hold the first permuted dimension of src ...
1x = zeros(4, 4) # 4x4 array of zeros2y = zeros(4) # 4 element array3z = 2# a scalar4# y's 1st dimension gets repeated for the 2nd dimension in x5# and the scalar z get's repeated for all dimensions6# the below is equal to `broadcast(+, broadcast(+, xx, y), z)`7x ...
println(size(B))# Finding a tuple containing the dimension of# the specified 3D array C ofsize2*2*2C = cat([1 2; 3 4], [5 6; 7 8], [9 10; 11 12], dims=3) println(size(C)) 输出: 范例2: # Julia program to illustrate# the use of Arraysize() method# Finding a tuple...
img_perm = permutedims(random_img_array, [3, 1, 2]) img = colorview(RGB, img_perm) imshow(img) 两种方法的区别在于分配内存的时刻。第一个选项在Float16时分配内存,第二个选项在permutedims时分配。 改变色彩饱和度 学习了如何将颜色转换为多维通道,现在,将学习如何在RGB配色方案中更改特定通道的内容...
using RDatasets iris = dataset("datasets", "iris") features = convert(Array, iris[:, 1:4]) labels = convert(Array, iris[:, 5]) Gadfly绘图 p = plot(iris, x=:SepalLength, y=:SepalWidth, Geom.point) 把图片输出到文件 img = SVG("iris_plot.SVG", 10cm, 8cm) draw(img, p) ...
Return an array with the same data as `A`, but with different dimension sizes or number of dimensions. The two arrays share the same underlying data, so that the result is mutable if and only if `A` is mutable, and setting elements of one alters the values of the other. ...