MAINT: rename AkimaInterpolator to Akima1DInterpolator

Author: andreas-h

doc/release/0.14.0-notes.rst

@@ -36,7 +36,7 @@ If performance is critical, sorting can be turned off by using the new
 Functionality for evaluation of bivariate spline derivatives in
 ``scipy.interpolate`` has been added.
 
-The new class `scipy.interpolate.AkimaInterpolator` implements the piecewise
+The new class `scipy.interpolate.Akima1DInterpolator` implements the piecewise
 cubic polynomial interpolation scheme devised by H. Akima.
 
 ``scipy.linalg`` improvements

scipy/interpolate/__init__.py

@@ -28,7 +28,7 @@
    krogh_interpolate
    piecewise_polynomial_interpolate
    pchip_interpolate
-   AkimaInterpolator
+   Akima1DInterpolator
    PPoly
    BPoly
 

scipy/interpolate/_monotone.py

@@ -7,7 +7,7 @@
 
 
 __all__ = ["PchipInterpolator", "pchip_interpolate", "pchip",
-           "AkimaInterpolator"]
+           "Akima1DInterpolator"]
 
 
 class PchipInterpolator(object):
@@ -229,7 +229,7 @@ def pchip_interpolate(xi, yi, x, der=0, axis=0):
 pchip = PchipInterpolator
 
 
-class AkimaInterpolator(PPoly):
+class Akima1DInterpolator(PPoly):
     """
     Akima interpolator
 
@@ -317,7 +317,7 @@ def __init__(self, x, y):
         coeff[1] = c
         coeff[0] = d
 
-        super(AkimaInterpolator, self).__init__(coeff, x, extrapolate=False)
+        super(Akima1DInterpolator, self).__init__(coeff, x, extrapolate=False)
 
     def extend(self):
         raise NotImplementedError("Extending a 1D Akima interpolator is not "

scipy/interpolate/tests/test_interpolate.py

@@ -12,7 +12,7 @@
 from scipy.lib._version import NumpyVersion
 
 from scipy.interpolate import (interp1d, interp2d, lagrange, PPoly, BPoly,
-         ppform, splrep, splev, splantider, splint, sproot, AkimaInterpolator)
+         ppform, splrep, splev, splantider, splint, sproot, Akima1DInterpolator)
 
 from scipy.interpolate import _ppoly
 
@@ -349,11 +349,11 @@ def test_lagrange(self):
         assert_array_almost_equal(p.coeffs,pl.coeffs)
 
 
-class TestAkimaInterpolator(TestCase):
+class TestAkima1DInterpolator(TestCase):
     def test_eval(self):
         x = np.arange(0., 11.)
         y = np.array([0., 2., 1., 3., 2., 6., 5.5, 5.5, 2.7, 5.1, 3.])
-        ak = AkimaInterpolator(x, y)
+        ak = Akima1DInterpolator(x, y)
         xi = np.array([0., 0.5, 1., 1.5, 2.5, 3.5, 4.5, 5.1, 6.5, 7.2,
             8.6, 9.9, 10.])
         yi = np.array([0., 1.375, 2., 1.5, 1.953125, 2.484375,
@@ -367,7 +367,7 @@ def test_eval_2d(self):
         x = np.arange(0., 11.)
         y = np.array([0., 2., 1., 3., 2., 6., 5.5, 5.5, 2.7, 5.1, 3.])
         y = np.column_stack((y, 2. * y))
-        ak = AkimaInterpolator(x, y)
+        ak = Akima1DInterpolator(x, y)
         xi = np.array([0., 0.5, 1., 1.5, 2.5, 3.5, 4.5, 5.1, 6.5, 7.2,
                        8.6, 9.9, 10.])
         yi = np.array([0., 1.375, 2., 1.5, 1.953125, 2.484375,
@@ -388,7 +388,7 @@ def test_eval_3d(self):
         y[:, 1, 0] = 2. * y_
         y[:, 0, 1] = 3. * y_
         y[:, 1, 1] = 4. * y_
-        ak = AkimaInterpolator(x, y)
+        ak = Akima1DInterpolator(x, y)
         xi = np.array([0., 0.5, 1., 1.5, 2.5, 3.5, 4.5, 5.1, 6.5, 7.2,
                        8.6, 9.9, 10.])
         yi = np.empty((13, 2, 2))
@@ -408,7 +408,7 @@ def test_eval_3d(self):
     def test_extend(self):
         x = np.arange(0., 11.)
         y = np.array([0., 2., 1., 3., 2., 6., 5.5, 5.5, 2.7, 5.1, 3.])
-        ak = AkimaInterpolator(x, y)
+        ak = Akima1DInterpolator(x, y)
         try:
             ak.extend()
         except NotImplementedError as e: