Backport PR matplotlib#26597: Squeeze post-converted values when validating limits

Author: QuLogic

lib/matplotlib/axes/_base.py

@@ -3578,6 +3578,8 @@ 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")

lib/matplotlib/tests/test_category.py

@@ -1,4 +1,6 @@
 """Catch all for categorical functions"""
+import warnings
+
 import pytest
 import numpy as np
 
@@ -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")