matplotlib
diff --git a/‎lib/matplotlib/axes/_axes.py
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+15-2Lines changed: 15 additions & 2 deletions b/‎lib/matplotlib/axes/_axes.py
Copy file name to clipboardExpand all lines: lib/matplotlib/axes/_axes.py
+15-2Lines changed: 15 additions & 2 deletions
diff --git a/‎lib/matplotlib/tests/test_axes.py
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+6Lines changed: 6 additions & 0 deletions b/‎lib/matplotlib/tests/test_axes.py
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_axes.py
+6Lines changed: 6 additions & 0 deletions
@@ -5172,7 +5172,21 @@ def _pcolorargs(funcname, *args, **kw):
             return X, Y, C
 
         if len(args) == 3:
-            X, Y, C = [np.asanyarray(a) for a in args]
+            # Check x and y for bad data...
+            C = np.asanyarray(args[2])
+            X, Y = [cbook.safe_masked_invalid(a) for a in args[:2]]
+            if funcname == 'pcolormesh':
+                if np.ma.is_masked(X) or np.ma.is_masked(Y):
+                    raise ValueError(
+                        'x and y arguments to pcolormesh cannot have '
+                        'non-finite values or be of type '
+                        'numpy.ma.core.MaskedArray with masked values')
+                # safe_masked_invalid() returns an ndarray for dtypes other
+                # than floating point.
+                if isinstance(X, np.ma.core.MaskedArray):
+                    X = X.data  # strip mask as downstream doesn't like it...
+                if isinstance(Y, np.ma.core.MaskedArray):
+                    Y = Y.data
             numRows, numCols = C.shape
         else:
             raise TypeError(
@@ -5567,7 +5581,6 @@ def pcolormesh(self, *args, **kwargs):
         # convert to one dimensional arrays
         C = C.ravel()
         coords = np.column_stack((X, Y)).astype(float, copy=False)
-
         collection = mcoll.QuadMesh(Nx - 1, Ny - 1, coords,
                                     antialiased=antialiased, shading=shading,
                                     **kwargs)
 
@@ -1150,6 +1150,12 @@ def test_pcolorargs():
         ax.pcolormesh(x, y, Z[:-1, :-1], shading="gouraud")
     with pytest.raises(TypeError):
         ax.pcolormesh(X, Y, Z[:-1, :-1], shading="gouraud")
+    x[0] = np.NaN
+    with pytest.raises(ValueError):
+        ax.pcolormesh(x, y, Z[:-1, :-1])
+    x = np.ma.array(x, mask=(x < 0))
+    with pytest.raises(ValueError):
+        ax.pcolormesh(x, y, Z[:-1, :-1])
 
 
 @image_comparison(baseline_images=['canonical'])