for the sum

Hello

I'm having a problem trying to the sum of 200 items I've read in a loop for, for then to get the average value. the value that I'm reading is a temeperature, but is oscilates and I need to get an average value for the pid controller don't get 'confused' by the waves.

can someone help me please?

Try something like that. I can't test it here, because I don't have the equipment.

Tags: NI Software

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      if (data[i].eValue gt 0) then
      c = Sum(c, 1)
      s = Sum(s, data[i].eValue)
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    endfor
    
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  • A simple query to write for the SUM of a column

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      2  (
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      6  select 500, 'B' from dual union all
      7  select 200, 'S' from dual
      8  )
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    110 2 222 100 1/1/2013 1 0 50
    110 2 222 100 1/2/2013 2 0 52
    110 2 222 100 1/3/2013 3 0 54
    110 2 222 100 1/4/2013 4 500 90
    110 2 222 100 1/5/2013 5 0 50
    110 2 222 100 1/6/2013 6 0 51
    110 2 222 100 7/1/2013 7 0 50
    110 2 222 100 1/8/2013 8 600 105
    110 2 222 100 1/9/2013 9 0 50
    110 2 222 10 100 1/10 / 2013 0 54
    110 2 222 100 1/11 / 2013 11 0 50
    110 2 222 100 1/12 / 2013 12 700 120



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    the client_id loan_no inst_mat_date inst_seq original_inst_amt int_amt currency management
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    110 2 222 100 1/2/2013 2 0 0
    110 2 222 100 1/3/2013 3 0 0
    110 2 222 100 1/4/2013 4 500 246
    110 2 222 100 1/5/2013 5 0 0
    110 2 222 100 1/6/2013 6 0 0
    110 2 222 100 7/1/2013 7 0 0
    110 2 222 100 1/8/2013 8 600 256
    110 2 222 100 1/9/2013 9 0 0
    110 2 222 100 1/10 / 2013 10 0 0
    110 2 222 100 1/11 / 2013-11 0 0
    110 2 222 100 1/12 / 2013 12 700 274


    any help please.

    With the help of the clause type

    SQL> with t
      2  as
      3  (
      4  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/1/2013','mm/dd/yyyy') inst_mat_date, 1  inst_seq, 0   original_inst_amt, 50 int_amt from dual
      5  union all
      6  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/2/2013','mm/dd/yyyy') inst_mat_date, 2  inst_seq, 0   original_inst_amt, 52 int_amt from dual
      7  union all
      8  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/3/2013','mm/dd/yyyy') inst_mat_date, 3  inst_seq, 0   original_inst_amt, 54 int_amt from dual
      9  union all
     10  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/4/2013','mm/dd/yyyy') inst_mat_date, 4  inst_seq, 500 original_inst_amt, 90 int_amt from dual
     11  union all
     12  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/5/2013','mm/dd/yyyy') inst_mat_date, 5  inst_seq, 0   original_inst_amt, 50 int_amt from dual
     13  union all
     14  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/6/2013','mm/dd/yyyy') inst_mat_date, 6  inst_seq, 0   original_inst_amt, 51 int_amt from dual
     15  union all
     16  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/7/2013','mm/dd/yyyy') inst_mat_date, 7  inst_seq, 0   original_inst_amt, 50 int_amt from dual
     17  union all
     18  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/8/2013','mm/dd/yyyy') inst_mat_date, 8  inst_seq, 600 original_inst_amt, 105 int_amt from dual
     19  union all
     20  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/9/2013','mm/dd/yyyy') inst_mat_date, 9  inst_seq, 0   original_inst_amt, 50 int_amt from dual
     21  union all
     22  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/10/201','mm/dd/yyyy') inst_mat_date, 10 inst_seq, 0   original_inst_amt, 54 int_amt from dual
     23  union all
     24  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/11/201','mm/dd/yyyy') inst_mat_date, 11 inst_seq, 0   original_inst_amt, 50 int_amt from dual
     25  union all
     26  select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/12/201','mm/dd/yyyy') inst_mat_date, 12 inst_seq, 700 original_inst_amt, 120 int_amt from dual
     27  )
     28  select branch
     29       , currency
     30       , client_id
     31       , loan_no
     32       , inst_mat_date
     33       , inst_seq
     34       , original_inst_amt
     35       , decode(original_inst_amt, 0, 0, sum(int_amt) over(partition by cnt)) int_amt
     36    from (
     37            select branch
     38                 , currency
     39                 , client_id
     40                 , loan_no
     41                 , inst_mat_date
     42                 , inst_seq
     43                 , original_inst_amt
     44                 , int_amt
     45                 , cnt
     46              from t
     47             model
     48             dimension by
     49             (
     50                inst_seq
     51             )
     52             measures
     53             (
     54                branch, currency, client_id, loan_no, inst_mat_date, original_inst_amt, int_amt, 1 cnt
     55             )
     56             rules
     57             (
     58                 cnt[any] = case
     59                                   when original_inst_amt[cv()-1] > 0 then
     60                                      cnt[cv()-1] + 1
     61                                   else
     62                                      nvl(cnt[cv()-1], cnt[cv()])
     63                               end
     64             )
     65         )
     66  /
    
        BRANCH   CURRENCY  CLIENT_ID    LOAN_NO INST_MAT_   INST_SEQ ORIGINAL_INST_AMT    INT_AMT
    ---------- ---------- ---------- ---------- --------- ---------- ----------------- ----------
           110          2        222        100 01-JAN-13          1                 0          0
           110          2        222        100 02-JAN-13          2                 0          0
           110          2        222        100 03-JAN-13          3                 0          0
           110          2        222        100 04-JAN-13          4               500        246
           110          2        222        100 05-JAN-13          5                 0          0
           110          2        222        100 06-JAN-13          6                 0          0
           110          2        222        100 08-JAN-13          8               600        256
           110          2        222        100 07-JAN-13          7                 0          0
           110          2        222        100 09-JAN-13          9                 0          0
           110          2        222        100 11-JAN-01         11                 0          0
           110          2        222        100 10-JAN-01         10                 0          0
           110          2        222        100 12-JAN-01         12               700        274
    
    12 rows selected.
    
    SQL>
    
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    Tail               391.30
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