matlab - 在 MATLAB 中连接矩阵

Question

我有两个矩阵，如下所示:

'01/01/2010'          1
'02/01/2010'          2
'03/01/2010'          3
'05/01/2010'         11
'06/01/2010'         17

'01/01/2010'          4
'02/01/2010'          5
'04/01/2010'          6
'05/01/2010'          7

，在 MATLAB 中做了一些棘手的事情之后，我想创建以下三个矩阵:

'01/01/2010'          1          4
'02/01/2010'          2          5
'03/01/2010'          3        NaN
'04/01/2010'        NaN          6
'05/01/2010'         11          7
'06/01/2010'         17        NaN


'01/01/2010'          1          4
'02/01/2010'          2          5
'05/01/2010'         11          7

知道如何加入这些表吗？干杯。

编辑:伙计们，我真的很抱歉我的打字错误。我更新了问题和输入/输出数据。请随时提供建议。

Answer 1

我相信您想要实现的目标在数据库世界中称为内连接和完全外连接。

首先我们从两个数据集开始:

d1 = {
 '01/01/2010'          1
 '02/01/2010'          2
 '03/01/2010'          3
 '05/01/2010'         11
 '06/01/2010'         17
};
d2 = {
 '01/01/2010'          4
 '02/01/2010'          5
 '04/01/2010'          6
 '05/01/2010'          7
};

以下是执行两种类型连接的代码:

%# get all possible dates, and convert them to indices starting at 1
[keys,~,ind] = unique( [d1(:,1);d2(:,1)] );

%# full outer join
ind1 = ind(1:size(d1,1));
ind2 = ind(size(d1,1)+1:end);

fullOuterJoin = cell(numel(keys),3);
fullOuterJoin(:) = {NaN};           %# fill with NaNs
fullOuterJoin(:,1) = keys;          %# union of dates
fullOuterJoin(ind1,2) = d1(:,2);    %# insert 1st dataset values
fullOuterJoin(ind2,3) = d2(:,2);    %# insert 2nd dataset values

%# inner join
loc1 = ismember(ind1, ind2);
loc2 = ismember(ind2, ind1);

innerJoin = cell(sum(loc1),3);
innerJoin(:,1) = d1(loc1,1);        %# intersection of dates
innerJoin(:,2) = d1(loc1,2);        %# insert 1st dataset values
innerJoin(:,3) = d2(loc2,2);        %# insert 2nd dataset values

或者，我们可以通过简单地删除具有任何 NaN 值的行来从外连接数据集中提取内连接:

idx = all(~isnan(cell2mat(fullOuterJoin(:,2:end))), 2);
innerJoin = fullOuterJoin(idx,:);

无论哪种方式，结果:

>> fullOuterJoin
fullOuterJoin = 
    '01/01/2010'    [  1]    [  4]
    '02/01/2010'    [  2]    [  5]
    '03/01/2010'    [  3]    [NaN]
    '04/01/2010'    [NaN]    [  6]
    '05/01/2010'    [ 11]    [  7]
    '06/01/2010'    [ 17]    [NaN]

>> innerJoin
innerJoin = 
    '01/01/2010'    [ 1]    [4]
    '02/01/2010'    [ 2]    [5]
    '05/01/2010'    [11]    [7]