Morph rgrid change

Author: Sparks29032

docs/source/morphpy.rst

@@ -193,6 +193,12 @@ funcy: tuple (function, dict)
 funcx: tuple (function, dict)
     Apply a function to the x-axis of the (two-column) data.
 
+    This morph works fundamentally differently from the other grid morphs
+    (e.g. stretch and squeeze) as it directly modifies the grid of the
+    morph function.
+    The other morphs maintain the original grid and apply the morphs by interpolating
+    the function ***.
+
     This morph applies the function funcx[0] with parameters given in funcx[1].
     The function funcx[0] take in as parameters both the abscissa and ordinate
     (i.e. take in at least two inputs with as many additional parameters as needed).

src/diffpy/morph/morphs/morphrgrid.py

@@ -55,7 +55,6 @@ def morph(self, x_morph, y_morph, x_target, y_target):
         """Resample arrays onto specified grid."""
         Morph.morph(self, x_morph, y_morph, x_target, y_target)
         rmininc = max(self.x_target_in[0], self.x_morph_in[0])
-        print(self.x_morph_out)
         r_step_target = (self.x_target_in[-1] - self.x_target_in[0]) / (
             len(self.x_target_in) - 1
         )
@@ -67,7 +66,6 @@ def morph(self, x_morph, y_morph, x_target, y_target):
             self.x_target_in[-1] + r_step_target,
             self.x_morph_in[-1] + r_step_morph,
         )
-        print(rmininc, rmaxinc, rstepinc)
         if self.rmin is None or self.rmin < rmininc:
             self.rmin = rmininc
         if self.rmax is None or self.rmax > rmaxinc:
@@ -80,7 +78,6 @@ def morph(self, x_morph, y_morph, x_target, y_target):
         self.x_morph_out = numpy.arange(
             self.rmin, self.rmax - epsilon, self.rstep
         )
-        print((self.rmax - self.rmin) / self.rstep, len(self.x_morph_out))
         self.y_morph_out = numpy.interp(
             self.x_morph_out, self.x_morph_in, self.y_morph_in
         )