def regrid(self, src_cube, dst_cube,
translate_nans_to_mask=False, **kwargs):
result = regrid(src_cube, dst_cube, mode='nearest')
data = result.data
if translate_nans_to_mask and np.any(np.isnan(data)):
data = np.ma.masked_array(data, mask=np.isnan(data))
result.data = data
return result
def regrid(self, src_cube, dst_cube,
translate_nans_to_mask=False, **kwargs):
result = regrid(src_cube, dst_cube, mode='nearest')
data = result.data
if translate_nans_to_mask and np.any(np.isnan(data)):
data = np.ma.masked_array(data, mask=np.isnan(data))
result.data = data
return result
def regrid(source_cube, grid_cube, mode='bilinear', **kwargs):
msg = (_INTERPOLATE_DEPRECATION_WARNING + '\n' +
'Please replace usage of iris.analysis.interpolate.regrid() '
'with iris.cube.Cube.regrid().')
_warn_deprecated(msg)
return oldinterp.regrid(source_cube, grid_cube, mode=mode, **kwargs)
def regrid(source_cube, grid_cube, mode='bilinear', **kwargs):
msg = (_INTERPOLATE_DEPRECATION_WARNING + '\n' +
'Please replace usage of iris.analysis.interpolate.regrid() '
'with iris.cube.Cube.regrid().')
_warn_deprecated(msg)
return oldinterp.regrid(source_cube, grid_cube, mode=mode, **kwargs)
