Filling in missing points

Hi, all. I have a quesion about filling missing points.

I need to fill in the missing points according to these rules:

- If there’s only one missing point, with valid data present on both sides of that point, the missing point shall be assigned the average of the two known data-points either side of it.

- If there are multiple, consecutive data-points missing, the closest known data point will be assigned to those missing values.

I have finished the first rule, but I don't know how to deal with second rule.

Answer 1

[Andrei Bobrov]

In R2016b:

T = readtable('weather_laverton.xlsx','Sheet',1);
TT = table2timetable(T);
TTout = fillmissing(TT,'linear');

Add

T = readtable('weather_laverton.xlsx','Sheet',1);
TT = table2timetable(T);
A = varfun(@f1,TT);


function out = f1(x)
    b1 = fillmissing(x,'linear');
    b2 = fillmissing(x,'nearest');
    d = [0;diff(bwdist(~isnan(x)),2);0]==-2;
    out = b2;
    out(d)  = b1(d);
end

[Feng Xu]

Thanks for your answer, but the second rule says:

If there are multiple, consecutive data-points missing, the closest known data point will be assigned to those missing values.

I would like to know how to deal with this part of the problem. For example, if：

30

NaN

NaN

27

therefore, the first NaN should be 30, the second Nan should be 27.

On the other hands, if:

30

NaN

NaN

NaN

27

therefore, the first NaN should be 30, the third NaN should be 27 and the second NaN should be the average of 30 and 27 which is 28.5.