matplotlib · timhoffm · Mar 11, 2026 · Feb 26, 2026 · Mar 2, 2026 · Mar 2, 2026
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
@@ -7418,6 +7418,28 @@ def hist(self, x, bins=None, range=None, density=False, weights=None,
         x = cbook._reshape_2D(x, 'x')
         nx = len(x)  # number of datasets
 
+        for arr in x:
+            arr = np.asarray(arr)
+
+            # catch numpy.timedelta64
+            if np.issubdtype(arr.dtype, np.timedelta64):
+                raise TypeError(
+                  "Axes.hist does not currently support timedelta inputs. "
+                  "Convert to numeric values  (e.g., .total_seconds()) first."
+                )
+
+            # catch python datetime.timedelta
+            if (
+                arr.dtype == object
+                and arr.size > 0
+                and isinstance(arr[0], datetime.timedelta)
+            ):
+                raise TypeError(
+                  "Axes.hist does not currently support timedelta inputs. "
+                  "Convert to numeric values  (e.g., .total_seconds()) first."
+                )
+
+
         # Process unit information.  _process_unit_info sets the unit and
         # converts the first dataset; then we convert each following dataset
         # one at a time.

diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
@@ -2461,6 +2461,17 @@ def test_hist_log_barstacked():
     assert axs[0].get_ylim() == axs[1].get_ylim()
 
 
+def test_hist_timedelta_raises():
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    arr = np.array([1,2,5,7], dtype="timedelta64[D]")
+    fig, ax = plt.subplots()
+
+    with pytest.raises(TypeError, match="does not currently support timedelta"):
+        ax.hist(arr)
+
+
 @image_comparison(['hist_bar_empty.png'], remove_text=True)
 def test_hist_bar_empty():
     # From #3886: creating hist from empty dataset raises ValueError