Doc: Add Python docstring for gdal.FillNodata

swig/include/python/docs/gdal_operations_docs.i

@@ -1,3 +1,77 @@
+// gdal.FillNodata
+%feature("docstring") FillNodata "
+
+Fill selected raster regions by interpolation from the edges.
+
+This algorithm will interpolate values for all designated
+nodata pixels (marked by zeros in ``maskBand``). For each pixel
+a four direction conic search is done to find values to interpolate
+from (using inverse distance weighting by default). Once all values are
+interpolated, zero or more smoothing iterations (3x3 average
+filters on interpolated pixels) are applied to smooth out
+artifacts.
+
+This algorithm is generally suitable for interpolating missing
+regions of fairly continuously varying rasters (such as elevation
+models for instance). It is also suitable for filling small holes
+and cracks in more irregularly varying images (like airphotos). It
+is generally not so great for interpolating a raster from sparse
+point data. See :py:func:`Grid` for that case.
+
+See :cpp:func:`GDALFillNodata`.
+
+Parameters
+----------
+targetBand : Band
+    Band containing values to fill. Will be modified in-place.
+maskBand : Band
+    Mask band with a value of 0 indicating values that should be filled.
+    If not specified, the mask band associated with ``targetBand`` will be used.
+maxSearchDist : float
+    the maximum number of pixels to search in all directions to find values to interpolate from.
+smoothingIterations : int
+    the number of 3x3 smoothing filter passes to run (0 or more)
+options : dict/list, optional
+    A dict or list of name=value options. Available options are
+    described in :cpp:func:`GDALFillNodata`.
+callback : function, optional
+   A progress callback function
+callback_data: optional
+   Optional data to be passed to callback function
+
+Returns
+-------
+int
+   :py:const:`CE_None` on success or :py:const:`CE_Failure` on failure.
+
+Examples
+--------
+>>> import numpy as np
+>>> data = np.array([[1, 2], [9, 9], [9, 9], [3, 4]], dtype=np.float32)
+>>> ds = gdal.GetDriverByName('MEM').Create('', 2, 4, eType=gdal.GDT_Float32)
+>>> ds.WriteArray(data)
+0
+>>> mask = data != 9  # replace pixels with value = 9
+>>> mask_ds = gdal.GetDriverByName('MEM').Create('', 2, 4, eType=gdal.GDT_Byte)
+>>> mask_ds.WriteArray(mask)
+0
+>>> gdal.FillNodata(ds.GetRasterBand(1), mask_ds.GetRasterBand(1), 5, 0)
+0
+>>> ds.ReadAsArray()
+array([[1.       , 2.       ],
+       [2.1485982, 2.6666667],
+       [2.721169 , 3.3333333],
+       [3.       , 4.       ]], dtype=float32)
+>>> gdal.FillNodata(ds.GetRasterBand(1), mask_ds.GetRasterBand(1), 5, 0, {'INTERPOLATION':'NEAREST'})
+0
+>>> ds.ReadAsArray()
+array([[1., 2.],
+       [1., 2.],
+       [3., 4.],
+       [3., 4.]], dtype=float32)
+
+";
+
 // gdal.IsLineOfSightVisible
 %feature("docstring") IsLineOfSightVisible "