在Matlab中添加新数据的有效方法(附示例代码)

当行和列不相同时

我处理的数据结构如下:

A.values: Ta x Ma matrix of values
A.dates:  Ta x 1 vector of datenum
A.id:     1 x Ma cell array of ids

现在的挑战是如何处理新的(可能重叠的)数据 B 我加载并想附加到一个新的矩阵 C

当新数据进入时,由于以下原因,它可以水平和垂直扩展:

• 新ID
• 新日期

它也可以有开始的日期 之前 min(A.dates) 之后 max(A.dates) 或 之间 最小值(A.dates) 和 . ID在B中可以是唯一的(都是新的),也可以是重叠的。

下面是一个示例:

A.values = [2.1 2.4 2.5 2.6; ...
            4.1 4.4 4.5 4.6; ...
            6.1 6.4 6.5 6.6];
A.dates  = [730002; ...
            730004; ...
            730006];
A.id     = {'x1', 'x4', 'x5', 'x6'};

现在有了新的数据:

B.values = [1.2 1.9 1.5 1.6 1.7; ...
            3.2 3.9 3.5 3.6 3.7; ...
            7.2 7.9 7.5 7.6 7.7; ...
            8.2 8.9 8.5 8.6 8.7];
B.dates  = [730001; ...
            730003; ...
            730007; ...
            730008];
B.id     = {'x2', 'x9', 'x5', 'x6', 'x7'};

我们现在如何高效快速地构建新的结构 C ?

C.values = [NaN 1.2 NaN 1.5 1.6 1.7 1.9; ...
            2.1 NaN 2.4 2.5 2.6 NaN NaN; ...
            NaN 3.2 NaN 3.5 3.6 3.7 3.9; ...
            4.1 NaN 4.4 4.5 4.6 NaN NaN; ...
            6.1 NaN 6.4 6.5 6.6 NaN NaN; ...
            NaN 7.2 NaN 7.5 7.6 7.7 7.9; ...
            NaN 8.2 NaN 8.5 8.6 8.7 8.9];
C.dates  = [730001; ...
            730002; ...
            730003; ...
            730004; ...
            730006; ...
            730007; ...
            730008];
C.id     = {'x1', 'x2', 'x4', 'x5', 'x6', 'x7', 'x9'};

更新时间表

在这些评论之后,我试着用 timetable 具体如下:

function dfmerged = in_mergeCache(dfA, dfB)

dtA = datenum2datetime(dfA.dates); % function datenum2datetime can be found here: https://stackoverflow.com/a/46685634/4262057
dtB = datenum2datetime(dfB.dates);

TTa = array2timetable(dfA.values, 'RowTimes', dtA, 'VariableNames', dfA.id);
TTb = array2timetable(dfB.values, 'RowTimes', dtB, 'VariableNames', dfB.id);

TTs = synchronize(TTa,TTb);

dfmerged.id     = TTs.Properties.VariableNames;
dfmerged.values = table2array(TTs);
dfmerged.dates  = datenum(TTs.Time); %to convert datenum

end 

C = 

  struct with fields:

        id: {'x1'  'x4'  'x5_TTa'  'x6_TTa'  'x2'  'x9'  'x5_TTb'  'x6_TTb'  'x7'}
    values: [7×9 double]
     dates: [7×1 double]