Filling gaps in time series with Nan

I have this kind of data.

data = [1 100; 2 200; 3 300; 5 500; 6 600; 7 700; 10 1000;]

The first colum refers to consecutive time series, but there is gaps between 3 and 5 and 7 to 10.

I'd like to make new_data=[1 100; 2 200; 3 300; 4 NaN; 5 500; 6 600; 7 700; 8 NaN; 9 NaN; 10 1000;]

If anyone can help, it would be greatly appreciated.

Thank you!

Answer 1

[Fabio Freschi]

For the particular case

% preliminary setup
newData = [1:10; NaN(1,10)]';

% fill-in
newData(data(:,1),2) = data(:,2)

To make it a little more general

% preliminary setup
newData = [(data(1,1):1:data(end,1))' NaN(data(end,1)-data(1,1)+1,1)]

% fill-in
newData(data(:,1),2) = data(:,2)