MPL<3.3 compat in temporal tests

seaborn/_core/scales.py

@@ -471,7 +471,7 @@ def label(
         base : number
             Use log formatter (with scientific notation) having this value as the base.
         unit : str or (str, str) tuple
-            Use engineering formatter with SI units (e.g., with `unit="g"`, a tick value
+            Use  SI prefixes with these units (e.g., with `unit="g"`, a tick value
             of 5000 will appear as `5 kg`). When a tuple, the first element gives the
             seperator between the number and unit.
 

tests/_core/test_scales.py

@@ -23,6 +23,7 @@
     Fill,
 )
 from seaborn.palettes import color_palette
+from seaborn.external.version import Version
 
 
 class TestContinuous:
@@ -585,6 +586,10 @@ def test_coordinate_axis(self, t, x):
         assert isinstance(locator, mpl.dates.AutoDateLocator)
         assert isinstance(formatter, mpl.dates.AutoDateFormatter)
 
+    @pytest.mark.skipif(
+        Version(mpl.__version__) < Version("3.3.0"),
+        reason="Test requires new matplotlib date epoch."
+    )
     def test_tick_locator(self, t):
 
         locator = mpl.dates.YearLocator(month=3, day=15)
@@ -601,13 +606,10 @@ def test_tick_upto(self, t, x):
         locator = ax.xaxis.get_major_locator()
         assert set(locator.maxticks.values()) == {n}
 
-    def test_label_concise(self, t, x):
-
-        ax = mpl.figure.Figure().subplots()
-        Temporal().label(concise=True)._setup(t, Coordinate(), ax.xaxis)
-        formatter = ax.xaxis.get_major_formatter()
-        assert isinstance(formatter, mpl.dates.ConciseDateFormatter)
-
+    @pytest.mark.skipif(
+        Version(mpl.__version__) < Version("3.3.0"),
+        reason="Test requires new matplotlib date epoch."
+    )
     def test_label_formatter(self, t):
 
         formatter = mpl.dates.DateFormatter("%Y")
@@ -616,3 +618,10 @@ def test_label_formatter(self, t):
         a.set_view_interval(10, 1000)
         label, = a.major.formatter.format_ticks([100])
         assert label == "1970"
+
+    def test_label_concise(self, t, x):
+
+        ax = mpl.figure.Figure().subplots()
+        Temporal().label(concise=True)._setup(t, Coordinate(), ax.xaxis)
+        formatter = ax.xaxis.get_major_formatter()
+        assert isinstance(formatter, mpl.dates.ConciseDateFormatter)