diff --git a/pyproject.toml b/pyproject.toml
index becb787..3099c84 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,8 @@ classifiers = [
   "Topic :: Scientific/Engineering",
 ]
 dependencies = [
-  "numpy"
+  "numpy",
+  "mplhep>=0.3.35"
 ]
 [project.optional-dependencies]
 lint = [
diff --git a/src/babyyoda/histo1d.py b/src/babyyoda/histo1d.py
index 1d754f2..7545fdc 100644
--- a/src/babyyoda/histo1d.py
+++ b/src/babyyoda/histo1d.py
@@ -2,6 +2,7 @@
 import sys
 from typing import Any, Optional, Union
 
+import mplhep as hep
 import numpy as np
 
 import babyyoda
@@ -349,8 +350,6 @@ def project(self) -> Any:
         return p
 
     def plot(self, *args: Any, binwnorm: float = 1.0, **kwargs: Any) -> None:
-        import mplhep as hep
-
         hep.histplot(
             self,
             *args,
diff --git a/src/babyyoda/histo2d.py b/src/babyyoda/histo2d.py
index a2ba548..ee59886 100644
--- a/src/babyyoda/histo2d.py
+++ b/src/babyyoda/histo2d.py
@@ -2,6 +2,7 @@
 import sys
 from typing import Any, Optional, Union
 
+import mplhep as hep
 import numpy as np
 
 from babyyoda.analysisobject import UHIAnalysisObject
@@ -402,8 +403,8 @@ def project(self, axis: int = 0) -> Any:
     def to_string(self) -> str:
         return str(self.to_grogu_v3().to_string())
 
-    def plot(self, *args: Any, binwnorm: bool = True, **kwargs: Any) -> None:
-        # # TODO should use histplot
+    def plot(self, *args: Any, binwnorm: float = 1.0, **kwargs: Any) -> None:
+        # # TODO should use histplot?
         # import mplhep as hep
 
         # hep.histplot(
@@ -414,25 +415,7 @@ def plot(self, *args: Any, binwnorm: bool = True, **kwargs: Any) -> None:
         #    binwnorm=binwnorm,
         #    **kwargs,
         # )
-        import mplhep as hep
-
-        if binwnorm:
-            # Hack in the temporary division by dVol
-            saved_values = self.values
-
-            def temp_values() -> np.ndarray:
-                return (
-                    np.array(
-                        [b.sumW() / vol for b, vol in zip(self.bins(), self.dVols())]
-                    )
-                    .reshape((len(self.axes[1]), len(self.axes[0])))
-                    .T
-                )
-
-            self.values = temp_values  # type: ignore[method-assign]
-        hep.hist2dplot(self, *args, **kwargs)
-        if binwnorm:
-            self.values = saved_values  # type: ignore[method-assign]
+        hep.hist2dplot(self, *args, binwnorm=binwnorm, **kwargs)
 
     def _ipython_display_(self) -> "UHIHisto2D":
         with contextlib.suppress(ImportError):