Inpaintings

Inpaintings.jl provides a Julia version of MATLAB’s inpaint_nans function (originally written by John d’Errico, available on the MathWorks File Exchange website and ported here with his authorization by personal communication).

Simply put, Inpaintings.jl provides a simple inpaint function, which takes an array A as input and inpaints its missing values by solving a simple n-dimensional PDE. The inpaint function can also be used to inpaint NaNs or any other values, thanks to the syntax described below and in the documentation.

Usage:

Like every Julia package you must first add it via ]add Inpaintings. And every time you want to use Inpaintings.jl, you must start with

julia> using Inpaintings

In order to inpaint an array A’s missing values, simply apply inpaint to your array:

julia> inpaint(A) # will inpaint missing values

The array to be inpainted can be a vector, a matrix, or even an n-dimensional array.

If your array A has some NaN values and is filled with floats otherwise, then

julia> inpaint(A) # will inpaint NaN values

Inpaintings.jl provides a syntax to inpaint any specified value via

julia> inpaint(A, -999) # will inpaint -999 values

(The value to inpaint can be specified as NaN or missing, too!)

Alternatively, Inpaintings.jl also provides a syntax taking a boolean function f as an argument before the array (f will be applied to all the elements of the array and must return a boolean).

julia> inpaint(f, A)

In this case, the values of A for which f returns true will be inpainted. (For example, f can be, e.g., ismissing or isnan, but it can also be x -> x < 0.)

Finally, Inpaintings.jl provides a syntax to allow some dimensions to be assumed cyclic:

julia> inpaint(A, cycledims=[1]) # will inpaint A with dimension 1 as cyclic

(The cyclic dimensions must be an array of Int64 that contains the dimension number of cyclic dimensions.)

See the docs if you want to see more examples.

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Benoît Pasquier
Postdoctoral Researcher

My research interests include mathematics, oceanography, and computer science.