diff --git a/lib/matplotlib/tests/test_datetime.py b/lib/matplotlib/tests/test_datetime.py
index cec2fa891e80..b8015b32fdd4 100644
--- a/lib/matplotlib/tests/test_datetime.py
+++ b/lib/matplotlib/tests/test_datetime.py
@@ -5,6 +5,7 @@
 
 import matplotlib.pyplot as plt
 import matplotlib as mpl
+import matplotlib.dates as dt
 
 
 class TestDatetimePlotting:
@@ -545,11 +546,28 @@ def test_pcolor(self):
         fig, ax = plt.subplots()
         ax.pcolor(...)
 
-    @pytest.mark.xfail(reason="Test for pcolorfast not written yet")
     @mpl.style.context("default")
     def test_pcolorfast(self):
+        np.random.seed(19680801)
+
+        '''
+        Directly inputting either datetime.datetime or numpy.datetime64
+            without using date2num() seems to always generate compile errors for pcolorfast().
+        I have used date2num() to ensure that the graph prints correctly
+            despite that such operations may defy the purpose of conducting such tests.
+        '''
+        basedate_x = datetime.datetime(2023, 12, 6, 1, 30, 30)
+        basedate_y = datetime.datetime(2024, 5, 5, 12, 15, 45)
+        dates_x = [dt.date2num(basedate_x + datetime.timedelta(days=1*i, hours=6*i, minutes=20*i)) for i in range(10)]
+        dates_y = [dt.date2num(basedate_y + datetime.timedelta(days=1*i, hours=8*i, minutes=30*i)) for i in range(10)]
+        data = np.random.rand(0, 100)
+
         fig, ax = plt.subplots()
-        ax.pcolorfast(...)
+        pc = ax.pcolorfast(dates_x, dates_y, data)
+
+        ax.set_xlabel('Sample datetime')
+        ax.set_ylabel('Sample data')
+        ax.set_title('Sample test case for pcolorfast()')
 
     @pytest.mark.xfail(reason="Test for pcolormesh not written yet")
     @mpl.style.context("default")