replacemissing2d#

[xReplaced, NaN_Indx] = replacemissing2d(x, what2replace, gridsize_x, gridsize_y, interpMethod, dispout)

Description#

Replace missing data points in 2d array

Inputs#

x

Input data

what2replace=’both’;
What needs to be replaced
‘NaN’: replacing NaN data points
‘Inf’: replacing Inf data points
‘both’: replacing NaN and Inf data points
Number: replacing data points equal to Number
gridsize_x=1;
Grid size (distance between grid points) in x direction
Leave gridsize_x=1 if you do not have it
gridsize_y=1;
Grid size (distance between grid points) in y direction
Leave gridsize_y=1 if you do not have it
interpMethod=’nearest’;
Interpolation method
‘linear’: Use default or ‘linear’ method to interpolate
‘nearest’: Use nearest neighbor method to interpolate
‘knn’: Use nearest neighbor method to interpolate (Use ‘knn’ for large array)
dispout=’no’;

Define to display outputs or not (‘yes’: display, ‘no’: not display)

Outputs#

xReplaced

Replaced data

NaN_Indx

Logical index of replaced points

Examples#

x=[[1,0,3];[2,5,NaN];[3,NaN,1];[5,7,2]];
[xReplaced, NaN_Indx] = replacemissing2d(x, 'NaN', 1, 1, 'nearest', 'yes');

xgrid=randn(100,50);
xgrid(randi(100,20,1),randi(50,20,1))=NaN;
[xReplaced, NaN_Indx] = replacemissing2d(xgrid, 'NaN', 1, 1, 'knn', 'yes');

References#