header 是一个 Matrix 矩阵,因此,我们需要通过vec(header) 传递到 DataFrame里 我们在iris_raw数据帧上广播了identity函数,以执行 ;原因是函数读入被存储到 a 中,因此 中的所有列最初都具有相同的列 - 在这种情况下,它必须是,因为有些列是数字,有些是字符串。identityiris_raweltypeiris_rawreaddlmdataMatrixiris...
[2:2:end,5])) # suppose Xtr and Xte are training and testing data matrix, # with each observation in a column # train a PCA model, allowing up to 3 dimensions M = fit(PCA, Xtr; maxoutdim=3) # apply PCA model to testing set Yte = transform(M, Xte) # reconstruct testing ...
# 导入相关的库 using FileIO using DataFrames # 创建一个带有 NaN 值的矩阵 matrix = [1.0 NaN 3.0; 4.0 5.0 NaN; 7.0 8.0 9.0] # 将矩阵写入二进制文件 write("matrix.bin", matrix) # 可以选择性地读取二进制文件进行验证 read_matrix = read("matrix.bin", Matrix{Float64}) ...
# The @data() macro can also be called with a Matrix input argument@data([0.4 1.2; 3.5 7.2]) Out[11]: 2×2 DataArrays.DataArray{Float64,2}: 0.4 1.2 3.5 7.2 In [12]: # Convert a Matrix to DataArrayconvert(DataArray, [0.4 1.2; 3.5 7.2]) Out[12]: 2×2 DataArrays.DataArray...
x = [1, 2, 3, 4, 5] y = [2, 4, 6, 8, 10] cor_matrix = cor([x, y]) 相关性热图是一种可视化工具,用于直观地显示相关性矩阵。可以使用heatmap()函数绘制相关性热图。以下是一个示例代码: 代码语言:txt 复制 using Plots heatmap(cor_matrix, title="Correlation Heatmap", xticks=1...
2×2 Matrix{Int64}: 1 2 3 3 添加列 下标方法 可以从一个空数据框逐列地添加数据,如: da2 = DataFrame()da2.name = ["张三", "李四", "王五", "赵六"]da2[!, :age] = [33, 42, missing, 51]da2[!, "sex"] = ["M", "F", "M", "M"]da2 ...
where, in Julia 0.3.0, the command array() replaces the old command matrix() in converting a DataFrame into a numerical Array. This simulation demonstrates severe selection bias associated with using the sample data to estimate the data generating process instead of the population data, as the...
*(a::Int,b::Int)*(a::Real,b::Complex)*(a::Int,b::Vector)*(a::Vector,b::Matrix)即*...
predictors are sparse matrix tmp = convert(Array, df_train[setdiff(names(df_train), [:y])] ) xmat_tr = convert(SparseMatrixCSC{Float64,Int64}, collect(Missings.replace(tmp, 0))) ## CV Results ## eta shrinks the feature weights to help prevent overfilling by making ## the boosting...
2023-02-13Updated to DataFrames.jl 1.5 Core functions summary Constructors:DataFrame,DataFrame!,Tables.rowtable,Tables.columntable,Matrix,eachcol,eachrow,Tables.namedtupleiterator,empty,empty! Getting summary:size,nrow,ncol,describe,names,eltypes,first,last,getindex,setindex!,@view,isapprox,metadata,...