Fill date gap and fill missing data wit NaN

조회 수: 18(최근 30일)
Davide Cerra
Davide Cerra 2020년 8월 20일
댓글: Jalaj Gambhir 2020년 8월 24일
Hello, i have to fill the gaps of these type of data:
Date Temperature
30/4/19 20:10 15.75
30/4/19 20:15 15.65
30/4/19 20:20 15.45
30/4/19 20:25 15.2
30/4/19 20:30 14.95
30/4/19 20:35 14.7
30/4/19 20:40 14.45
30/4/19 20:45 14.2
11/5/2019 13:45 12.8
11/5/2019 13:50 12.9
11/5/2019 13:55 12.8
11/5/2019 14:00 12.8
11/5/2019 14:05 12.8
11/5/2019 14:10 13
i would like to transform them like this:
Date Temperature
30/4/19 20:10 15.75
30/4/19 20:15 15.65
30/4/19 20:20 15.45
30/4/19 20:25 15.2
30/4/19 20:30 14.95
30/4/19 20:35 14.7
30/4/19 20:40 14.45
30/4/19 20:45 14.2
30/4/19 20:50 NaN
30/4/19 20:55 NaN
...................
11/5/2019 13:50 12.9
11/5/2019 13:55 12.8
11/5/2019 14:00 12.8
11/5/2019 14:05 12.8
11/5/2019 14:10 13
thanks!
  댓글 수: 1
KSSV
KSSV 2020년 8월 20일
Create datetime arrays and use setdiff to get indices which are missing and fill thos with NaNs.

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Jalaj Gambhir
Jalaj Gambhir 2020년 8월 24일
Hi,
As already pointed out,
startTime = datetime(2019,4,30,20,10,0);
endTime = datetime(2019,4,30,23,55,0);
allRange = startTime:minutes(5):endTime;
dateRangeKnown = [] % initialize the datetime objects for which temperature is known.
[~,indices] = setdiff(allRange, dateRangeKnown);
% Initialize Table appropriately.
Table(indices,2) = {NaN}; % Table contains 2nd column as temperatures.
Hope this helps!
  댓글 수: 4
Jalaj Gambhir
Jalaj Gambhir 2020년 8월 24일
I suspect the issue is because of Input Format mismatch.

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