13. interpolate and replace the nans for co2_clean. in matlab

Assuming co2_clean is a vector containing the data with NaN values, we can interpolate and replace the NaN values using the interp1 function in MATLAB:

main.m
% Generate sample data with NaN values
co2_clean = [2.1, 2.5, NaN, 2.8, NaN, 3.1, NaN, 3.5];

% Find indices of NaN values in co2_clean
nan_indices = isnan(co2_clean);

% Generate index vector without NaN values
index_vec = 1:numel(co2_clean);
index_vec_no_nan = index_vec(~nan_indices);

% Generate interpolated values
interpolated_values = interp1(index_vec_no_nan, co2_clean(~nan_indices), index_vec);

% Replace NaN values with interpolated values
co2_clean(nan_indices) = interpolated_values(nan_indices);
511 chars
16 lines

The resulting co2_clean vector will have the NaN values replaced with interpolated values. The interpolation is performed using linear interpolation. You can choose different interpolation methods in the interp1 function depending on your specific use case.

gistlibby LogSnag