Question

我有一个脚本可以执行以下操作：我有一个Excel电子表格，其中包含三列叶绿素浓度，有时甚至更多。例如。 1）WholeFluro 2）WholeHPLC 3）Net1Fluro但不是所有三列都具有所有3个数据集。例如，我经常使用WholeFluro和WholeHPLC或者只有Net1Fluro。为了获得更多数据，我喜欢将所有数据合并到一个数据列中。此外，我还在海洋中有相应的位置，我从中收集了数据，以及我抽样样本的水柱深度。

我有一个MATLAB脚本，我用它，但它很长，我需要很长时间才能将它用于我想要合并的不同类型的数据。我想知道我是否可以获得一些帮助以提高效率，因为它还可以帮助我学习编写更好的脚本。

我的脚本如下：

% go to the data folder
    cd C:\Users\Documents\CHLOROPHYLL_DATA_PROCESSED\
    filename = 'Knorr-Working_SizeFracNew.xlsx';
    [num,txt,raw] = xlsread(filename);

% Pick out the relevant data that you need from the large spreadsheet
%Use Raw only to get header info because I can see the header info that I %cannot see in ‘num’
% Use ‘num’ to get actual data
    FracsData=num(:,[1:2:7 8:2:17 19:23 24 29 34]);
    FracsHeaderInfo=raw(:,[1:2:7 8:2:17 19:23 24 29 34]);

%%
% choose the various Chlorophyll data from the large spreadsheet that I want %to merge 
% Here I want to Merge the two columns which have Whole, two columns with
 % Net1, two columns with % Net2 and two columns with Net3

    WholeFluro=FracsData(:,6);
    WholeHPLC=FracsData(:,10);

    Net1Fluro=FracsData(:,7);
    Net1HPLC=FracsData(:,15);

    Net2Fluro=FracsData(:,8);
    Net2HPLC=FracsData(:,16);

    Net3Fluro=FracsData(:,9);
    Net3HPLC=FracsData(:,17);

%%
%Replace NaNs with -999 or I get an error when NaNs from various columns %clash 

    WholeFluro(isnan(WholeFluro))=-999;
    WholeHPLC(isnan(WholeHPLC))=-999;

    Net1Fluro(isnan(Net1Fluro))=-999;
    Net1HPLC(isnan(Net1HPLC))=-999;

    Net2Fluro(isnan(Net2Fluro))=-999;
    Net2HPLC(isnan(Net2HPLC))=-999;

    Net3Fluro(isnan(Net3Fluro))=-999;
    Net3HPLC(isnan(Net3HPLC))=-999;

% Here I create 4 variables that will hold my merged data for whole, N1, N2, % & N3 that are equal to the % the original data
    MergedDataWhole = WholeFluro;
    MergedDataN1 = Net1Fluro;
    MergedDataN2 = Net2Fluro;
    MergedDataN3 = Net3Fluro;

%find the empty places and fill them up with the HPLC data at points x – I %give HPLC data precedence

    x=find(MergedDataWhole==-999);
    MergedDataWhole(x)=WholeHPLC(x);

    x=find(MergedDataN1==-999);
    MergedDataN1(x)=Net1HPLC(x);

    x=find(MergedDataN2==-999);
    MergedDataN2(x)=Net2HPLC(x);

    x=find(MergedDataN3==-999);
    MergedDataN3(x)=Net3HPLC(x);
        MergedDataALL=horzcat(MergedDataWhole,MergedDataN1,MergedDataN2,MergedDataN3);
    MergedDataALL(MergedDataFracs<0)=0;


    outputfilename = 'Merged.xlsx';
    [suc,msg] = xlswrite(outputfilename,Merged);

合并来自多个列

0 个答案: