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Fix Axes.hist crash for numpy timedelta64 inputs #31203

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Merged
timhoffm merged 10 commits into from
Mar 11, 2026
Merged

Fix Axes.hist crash for numpy timedelta64 inputs #31203

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2275f59
Fix Axes.hist crash for numpy timedelta64 inputs
jayaprajapatii Feb 26, 2026
bb8ed97
Raise explicit TypeError for numpy.timedelta64 inputs in Axes.hist
jayaprajapatii Mar 2, 2026
df468b2
remove duplicate pytest import
jayaprajapatii Mar 2, 2026
5fa7cc0
raise TypeError for timedelta64 in Axes.hist and remove bin logic cha…
jayaprajapatii Mar 3, 2026
4d257c6
Handle numpy.timedelta64 and datetime.timedelta explicitly
jayaprajapatii Mar 3, 2026
6c45d7c
fix object check and formatting
jayaprajapatii Mar 5, 2026
62d0716
merge timedelta checks and added datetime.timedelta regression tests
jayaprajapatii Mar 6, 2026
ea2b96d
merge timedelta checks and added datetime.timedelta regression test
jayaprajapatii Mar 6, 2026
432f787
fix python style
jayaprajapatii Mar 6, 2026
c07a991
Fix indentation
timhoffm Mar 6, 2026
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13 changes: 13 additions & 0 deletions lib/matplotlib/axes/_axes.py
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Expand Up @@ -7418,6 +7418,19 @@ 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:
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@timhoffm timhoffm Mar 2, 2026

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Overall, I'm not in favor of checking for all kinds of erronous inputs. This is not good, but it's possibly the least bad option (other than making timedelta work properlyI) because timedelta is an accepted input in other cases.

if (
hasattr(arr, "dtype") and np.issubdtype(arr.dtype, np.timedelta64)
or (
len(arr) > 0
and isinstance(arr[0], (datetime.timedelta, np.timedelta64))
)
):
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raise TypeError(
"Axes.hist does not currently support timedelta inputs. "
"Convert to numeric values (e.g., .total_seconds()) first."
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)

# Process unit information. _process_unit_info sets the unit and
# converts the first dataset; then we convert each following dataset
# one at a time.
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15 changes: 15 additions & 0 deletions lib/matplotlib/tests/test_axes.py
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Expand Up @@ -2461,6 +2461,21 @@ 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

fig, ax = plt.subplots()

arr_np = np.array([1,2,5,7], dtype="timedelta64[D]")
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with pytest.raises(TypeError, match="does not currently support timedelta inputs"):
ax.hist(arr_np)

arr_py = [datetime.timedelta(seconds=i) for i in range(5)]
with pytest.raises(TypeError, match="does not currently support timedelta inputs"):
ax.hist(arr_py)

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timhoffm marked this conversation as resolved.

@image_comparison(['hist_bar_empty.png'], remove_text=True)
def test_hist_bar_empty():
# From #3886: creating hist from empty dataset raises ValueError
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