webbpsf_ext.image_manip.replace_nans

webbpsf_ext.image_manip.replace_nans(image, mean_func=<function nanmean>, in_place=False, use_griddata=True, grid_method='cubic', x_stddev=2, use_fft=False, **kwargs)

Replace NaNs in an image with interpolated values

If input is a cube, first replaces NaNs using mean of cube.

Remaining NaNs are then replaced using griddata interpolation. Default is cubic interpolation.

Any remaining NaNs are then replaced using astropy convolution.

Parameters:

• image (ndarray) – 2D image or 3D image cube [nz,ny,nx].

• mean_func (function) – Function to use for calculating the mean of the cube. Default is np.nanmean. Set this to None if you want to skip this step and only use griddata replacement.

• use_griddata (bool) – Use griddata interpolation to fix NaNs. Default is True.

• grid_method (str) – Interpolation method to use for griddata. Options are ‘nearest’, ‘linear’, or ‘cubic’. Default is ‘cubic’.

• x_stddev (float) – Standard deviation of Gaussian kernel for smoothing. Default is 2.

• use_fft (bool) – Use FFT convolution. Default is False.

Keyword Arguments:

• boundary (str, optional) –

  A flag indicating how to handle boundaries:

  • NoneSet the result values to zero where the kernel

    extends beyond the edge of the array.

  • ’fill’ : (default) Set values outside the array boundary to fill_value.

  • ’wrap’ : Periodic boundary that wrap to the other side of array.

  • ’extend’Set values outside the array to the nearest array

    value.

• fill_value (float, optional) – The value to use outside the array when using boundary='fill'.