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;
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