This repository contains a Python adaptation of John D’Errico’s original MATLAB function, inpaint_nans, for filling (inpainting) missing or invalid data in arrays.
The code is useful for image restoration, surface reconstruction, or any application where NaN values need to be replaced in a smooth, physically motivated way.
Original Matlab repository: https://se.mathworks.com/matlabcentral/fileexchange/4551-inpaint_nans
inpaint_nans.py: The core function, ported from MATLAB to Python.test_inpaint_nans.py: Example script demonstrating usage.
- Python 3+
- NumPy
- SciPy
- Matplotlib (for plotting)
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Original MATLAB function by John D’Errico.
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John D'Errico (2025). inpaint_nans (https://www.mathworks.com/matlabcentral/fileexchange/4551-inpaint_nans), MATLAB Central File Exchange. Retrieved February 16, 2025.