diff --git a/lib/matplotlib/artist.py b/lib/matplotlib/artist.py
index e6f323d4a1ce..1c40efbb4aab 100644
--- a/lib/matplotlib/artist.py
+++ b/lib/matplotlib/artist.py
@@ -1391,6 +1391,61 @@ def set_mouseover(self, mouseover):
 
     mouseover = property(get_mouseover, set_mouseover)  # backcompat.
 
+def set_datalim_x(self, data):
+    """
+    Set the x-axis data limits for this 3D plot.
+
+    Parameters
+    ----------
+    data : array-like
+        The array containing data points for the x-axis.
+    """
+    self._datalim_x = (min(data), max(data))
+
+    ax = self.axes
+    if ax:
+        ax.dataLim.update_from_data_x(self._datalim_x)
+
+datalim_x = property(lambda self: self._datalim_x, set_datalim_x)
+
+
+def set_datalim_y(self, data):
+    """
+    Set the y-axis data limits for this 3D plot.
+
+    Parameters
+    ----------
+    data : array-like
+        The array containing data points for the y-axis.
+    """
+    self._datalim_y = (min(data), max(data))
+
+    ax = self.axes
+    if ax:
+        ax.dataLim.update_from_data_y(self._datalim_y)
+
+datalim_y = property(lambda self: self._datalim_y, set_datalim_y)
+
+
+def set_datalim_z(self, data):
+    """
+    Set the z-axis data limits for this 3D plot.
+
+    Parameters
+    ----------
+    data : array-like
+        The array containing data points for the z-axis.
+    """
+    self._datalim_z = (min(data), max(data))
+
+    ax = self.axes
+    if ax:
+        ax.dataLim.update_from_data_z(self._datalim_z)
+
+datalim_z = property(lambda self: self._datalim_z, set_datalim_z)
+
+
+
 
 def _get_tightbbox_for_layout_only(obj, *args, **kwargs):
     """
diff --git a/lib/matplotlib/cbook.py b/lib/matplotlib/cbook.py
index 71ff5a941601..335e94f446fc 100644
--- a/lib/matplotlib/cbook.py
+++ b/lib/matplotlib/cbook.py
@@ -2341,6 +2341,11 @@ def _is_tensorflow_array(x):
 
 def _unpack_to_numpy(x):
     """Internal helper to extract data from e.g. pandas and xarray objects."""
+    if isinstance(x, ak.Array):
+        # Normalize akward irregular arrays to numpy array
+        xtmp = ak.to_numpy(ak.flatten(x))
+        print("Entrou")
+        return xtmp
     if isinstance(x, np.ndarray):
         # If numpy, return directly
         return x