DEP: Make `np.insert` and `np.delete` on 0d arrays with an axis an error

Before this change, the following code worked:

```
>>> some_0d = np.array(1)
>>> np.insert(some_0d, "some nonsense", 10, axis=0)
array(10)
>>> np.insert(some_0d, "some nonsense", 42, axis="some nonsense")
array(42)
```

Now these raise AxisError and TypeError, respectively.

`delete` is exactly the same.

1 files changed, 0 insertions, 20 deletions

diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 1c67f7c99..5b2dec1c1 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -4273,15 +4273,6 @@ def delete(arr, obj, axis=None):
         # needed for np.matrix, which is still not 1d after being ravelled
         ndim = arr.ndim
         axis = ndim - 1
-    elif ndim == 0:
-        # 2013-09-24, 1.9
-        warnings.warn(
-            "in the future the special handling of scalars will be removed "
-            "from delete and raise an error", DeprecationWarning, stacklevel=3)
-        if wrap:
-            return wrap(arr)
-        else:
-            return arr.copy(order=arrorder)
     else:
         axis = normalize_axis_index(axis, ndim)
 
@@ -4515,17 +4506,6 @@ def insert(arr, obj, values, axis=None):
         # needed for np.matrix, which is still not 1d after being ravelled
         ndim = arr.ndim
         axis = ndim - 1
-    elif ndim == 0:
-        # 2013-09-24, 1.9
-        warnings.warn(
-            "in the future the special handling of scalars will be removed "
-            "from insert and raise an error", DeprecationWarning, stacklevel=3)
-        arr = arr.copy(order=arrorder)
-        arr[...] = values
-        if wrap:
-            return wrap(arr)
-        else:
-            return arr
     else:
         axis = normalize_axis_index(axis, ndim)
     slobj = [slice(None)]*ndim