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Squeeze post-converted values when validating limits #26597

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Merged
merged 1 commit into from
Aug 30, 2023
Merged

Squeeze post-converted values when validating limits #26597

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2 changes: 2 additions & 0 deletions lib/matplotlib/axes/_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3562,6 +3562,8 @@ def _validate_converted_limits(self, limit, convert):
"""
if limit is not None:
converted_limit = convert(limit)
if isinstance(converted_limit, np.ndarray):
converted_limit = converted_limit.squeeze()
if (isinstance(converted_limit, Real)
and not np.isfinite(converted_limit)):
raise ValueError("Axis limits cannot be NaN or Inf")
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12 changes: 12 additions & 0 deletions lib/matplotlib/tests/test_category.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,6 @@
"""Catch all for categorical functions"""
import warnings

import pytest
import numpy as np

Expand Down Expand Up @@ -309,3 +311,13 @@ def test_hist():
n, bins, patches = ax.hist(['a', 'b', 'a', 'c', 'ff'])
assert n.shape == (10,)
np.testing.assert_allclose(n, [2., 0., 0., 1., 0., 0., 1., 0., 0., 1.])


def test_set_lim():
# Numpy 1.25 deprecated casting [2.] to float, catch_warnings added to error
# with numpy 1.25 and prior to the change from gh-26597
# can be removed once the minimum numpy version has expired the warning
f, ax = plt.subplots()
ax.plot(["a", "b", "c", "d"], [1, 2, 3, 4])
with warnings.catch_warnings():
ax.set_xlim("b", "c")