Remove mlab.less_simple_linear_interpolation

dstansby · dstansby · commit e37dd92780df · 2018-09-21T11:35:04.000+01:00
diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -22,4 +22,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.dist` (use numpy.hypot instead)
 - `mlab.dist_point_to_segment`
 - `mlab.griddata` (use scipy.interpolate.griddata)
+- `mlab.less_simple_linear_interpolation` (use numpy.interp)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
@@ -2559,47 +2559,6 @@ def newfunc(val, mask, mval):
 ##################################################
 # Linear interpolation algorithms
 ##################################################
-@cbook.deprecated("2.2", alternative="numpy.interp")
-def less_simple_linear_interpolation(x, y, xi, extrap=False):
-    """
-    This function provides simple (but somewhat less so than
-    :func:`cbook.simple_linear_interpolation`) linear interpolation.
-    :func:`simple_linear_interpolation` will give a list of point
-    between a start and an end, while this does true linear
-    interpolation at an arbitrary set of points.
-
-    This is very inefficient linear interpolation meant to be used
-    only for a small number of points in relatively non-intensive use
-    cases.  For real linear interpolation, use scipy.
-    """
-    x = np.asarray(x)
-    y = np.asarray(y)
-    xi = np.atleast_1d(xi)
-
-    s = list(y.shape)
-    s[0] = len(xi)
-    yi = np.tile(np.nan, s)
-
-    for ii, xx in enumerate(xi):
-        bb = x == xx
-        if np.any(bb):
-            jj, = np.nonzero(bb)
-            yi[ii] = y[jj[0]]
-        elif xx < x[0]:
-            if extrap:
-                yi[ii] = y[0]
-        elif xx > x[-1]:
-            if extrap:
-                yi[ii] = y[-1]
-        else:
-            jj, = np.nonzero(x < xx)
-            jj = max(jj)
-
-            yi[ii] = y[jj] + (xx-x[jj])/(x[jj+1]-x[jj]) * (y[jj+1]-y[jj])
-
-    return yi
-
-
 @cbook.deprecated("2.2")
 def slopes(x, y):
     """
