There are not any constrains for axial interpolations

Veteran users know some restrictive conditions of Radial Basis Function Interpolation of Scipy.For example,we can summary a disability condition for narrow dimension(extreme short for x axis but selective long for  z axis )  among chapters summaried as disadvantage  of this technique.At this point,I especially cite to advantages established via imshow interpolation method...In this mean,I tested either advantages presented via multiple interpolations  of  a column on narrow dimension and perfect conclusions summaried  of similar distributions  for rectangular type  dimensions;