Remove .reduce and .project from cpp class

Author: henryiii

boost_histogram/_internal/hist.py

@@ -185,22 +185,6 @@ def __itruediv__(self, other):
     def __idiv__(self, other):
         return self.__class__(self._hist.__idiv__(other._hist))
 
-    def reduce(self, *args):
-        """
-        Reduce based on one or more reduce_option. Generally,
-        the [] indexing is easier, but this might be useful in
-        some cases, and is lighter-weight.
-        """
-
-        return self.__class__(self._hist.reduce(*args))
-
-    def project(self, *args):
-        """
-        Project to a single axis or several axes on a multidiminsional histogram. Provided a list of axis numbers, this will produce the histogram over those axes only. Flow bins are used if available.
-        """
-
-        return self.__class__(self._hist.project(*args))
-
     @inject_signature("self, *args, weight=None, sample=None")
     def fill(self, *args, **kwargs):
         """
@@ -280,6 +264,20 @@ def _sum(self, flow=False):
         """
         return self._hist.sum(flow)
 
+    def _reduce(self, *args):
+        """
+        Reduce based on one or more reduce_option's.
+        """
+
+        return self.__class__(self._hist.reduce(*args))
+
+    def _project(self, *args):
+        """
+        Project to a single axis or several axes on a multidiminsional histogram. Provided a list of axis numbers, this will produce the histogram over those axes only. Flow bins are used if available.
+        """
+
+        return self.__class__(self._hist.project(*args))
+
 
 class Histogram(BaseHistogram):
     @inject_signature("self, *axes, storage=Double()", locals={"Double": Double})
@@ -420,3 +418,17 @@ def __getitem__(self, index):
     def __setitem__(self, index, value):
         indexes = _compute_commonindex(self._hist, index, expand=True)
         self._hist._at_set(value, *indexes)
+
+    def reduce(self, *args):
+        """
+        Reduce based on one or more reduce_option's. If you are operating on most or all of your axis, consider slicing with [] notation.
+        """
+
+        return self.__class__(self._hist.reduce(*args))
+
+    def project(self, *args):
+        """
+        Project to a single axis or several axes on a multidiminsional histogram. Provided a list of axis numbers, this will produce the histogram over those axes only. Flow bins are used if available.
+        """
+
+        return self.__class__(self._hist.project(*args))