Question

我有一个数据矩阵，其中每行有几个日期时间和一个员工ID（相同的ID将在不同的行中重复）。我需要按员工评估日期时间，因此我希望将相关数据汇总在一起以便进行处理。我是Matlab的新手，并不太了解什么是最好的（结构数组，单元数组，单个数组等）。注意：我事先知道我将评估多少员工，但他们会有不同的日期时间，因此矩阵可能是错误的。

现在我循环遍历矩阵的行并检查用户列，我希望能够将该行的日期时间保存到该用户的位置（如果已存在某些用户，则追加）

data_matrix = [1,735724.291666667,735724.322916667,735724.343750000,5;
    2,735724.331250000,735724.340277778,735724.371527778,18;
    3,735724.402083333,735724.420833333,735724.445833333,18;
    4,735724.411111111,735724.465277778,735724.515972222,42;
    5,735724.412500000,735724.433333333,735724.459027778,8;
    6,735724.425000000,735724.519444444,735724.552777778,5;
    7,735724.431250000,735724.455555556,735724.482638889,18;
    8,735724.438888889,735724.486805556,735724.495833333,8;
    9,735724.531944444,735724.545138889,735724.581250000,18;
    10,735724.547222222,735724.579861111,735724.604166667,13;
    11,735724.549305556,735724.588194444,735724.614583333,8;
    12,735724.563888889,735724.618055556,735724.645138889,42];

% we only care about IDs 1-26
employees_to_check= 1:26

for i= 1:length(data_matrix)
    %employee id is the fifth element
    this_employee = [data_matrix(i,5)];

    keep_record = ismember(this_row_tech, employees_to_check);

    if keep_record
       times_to_add = [data_matrix(i,2), data_matrix(i,3), data_matrix(i,4)]
       % save it someplace
    end 

end

保存这样的数据的好方法是什么？

Answer 1

以下是您案例中如何使用表格的简短示例：

dataTable = array2table(data_matrix,'VariableNames',...
    {'serial','time1','time2','time3','employeeID'});
dataTable.time1 = datetime(datestr(dataTable.time1));
dataTable.time2 = datetime(datestr(dataTable.time2));
dataTable.time3 = datetime(datestr(dataTable.time3));

% we only care about IDs 1-26
valid = dataTable.employeeID>=1 & dataTable.employeeID<=26;
employees_to_check = dataTable(valid,:);
times_to_add = employees_to_check{:,2:4};

所以你的表dataTable看起来像是：

dataTable = 
    serial           time1                   time2                   time3            employeeID
    ______    ____________________    ____________________    ____________________    __________
     1        05-May-2014 07:00:00    05-May-2014 07:45:00    05-May-2014 08:15:00     5        
     2        05-May-2014 07:57:00    05-May-2014 08:10:00    05-May-2014 08:55:00    18        
     3        05-May-2014 09:39:00    05-May-2014 10:06:00    05-May-2014 10:42:00    18        
     4        05-May-2014 09:52:00    05-May-2014 11:10:00    05-May-2014 12:23:00    42        
     5        05-May-2014 09:54:00    05-May-2014 10:24:00    05-May-2014 11:01:00     8        
     6        05-May-2014 10:12:00    05-May-2014 12:28:00    05-May-2014 13:16:00     5        
     7        05-May-2014 10:21:00    05-May-2014 10:56:00    05-May-2014 11:35:00    18        
     8        05-May-2014 10:32:00    05-May-2014 11:41:00    05-May-2014 11:54:00     8        
     9        05-May-2014 12:46:00    05-May-2014 13:05:00    05-May-2014 13:57:00    18        
    10        05-May-2014 13:08:00    05-May-2014 13:55:00    05-May-2014 14:30:00    13        
    11        05-May-2014 13:11:00    05-May-2014 14:07:00    05-May-2014 14:45:00     8        
    12        05-May-2014 13:32:00    05-May-2014 14:50:00    05-May-2014 15:29:00    42

，输出为：

times_to_add = 
   05-May-2014 07:00:00   05-May-2014 07:45:00   05-May-2014 08:15:00
   05-May-2014 07:57:00   05-May-2014 08:10:00   05-May-2014 08:55:00
   05-May-2014 09:39:00   05-May-2014 10:06:00   05-May-2014 10:42:00
   05-May-2014 09:54:00   05-May-2014 10:24:00   05-May-2014 11:01:00
   05-May-2014 10:12:00   05-May-2014 12:28:00   05-May-2014 13:16:00
   05-May-2014 10:21:00   05-May-2014 10:56:00   05-May-2014 11:35:00
   05-May-2014 10:32:00   05-May-2014 11:41:00   05-May-2014 11:54:00
   05-May-2014 12:46:00   05-May-2014 13:05:00   05-May-2014 13:57:00
   05-May-2014 13:08:00   05-May-2014 13:55:00   05-May-2014 14:30:00
   05-May-2014 13:11:00   05-May-2014 14:07:00   05-May-2014 14:45:00

Matlab newbie-保存不同大小数据的合理方法

1 个答案: