Index: /issm/trunk-jpl/src/m/contrib/defleurian/paraview/exportVTK.py
===================================================================
--- /issm/trunk-jpl/src/m/contrib/defleurian/paraview/exportVTK.py	(revision 25482)
+++ /issm/trunk-jpl/src/m/contrib/defleurian/paraview/exportVTK.py	(revision 25483)
@@ -143,53 +143,54 @@
 
     if 'clipping' in kwargs.keys():
-        # first get the boundaries and check them
-        [Xmin, Xmax, Ymin, Ymax] = kwargs['clipping']
-        if Xmin > Xmax:
-            raise ClipError('Xmax ({}) should be larger than Xmin ({})'.format(Xmax, Xmin))
-        if Ymin > Ymax:
-            raise ClipError('Ymax ({}) should be larger than Ymin ({})'.format(Ymax, Ymin))
-        if Xmin > np.nanmax(points[:, 0]) or Xmax < np.nanmin(points[:, 0]):
-            raise ClipError('Your X boundaries [{}, {}] are outside of the model domain [{},{}]'.format(Xmin, Xmax, np.nanmin(points[:, 0]), np.nanmax(points[:, 0])))
-        if Ymin > np.nanmax(points[:, 1]) or Ymax < np.nanmin(points[:, 1]):
-            raise ClipError('Your Y boundaries [{}, {}] are outside of the model domain [{},{}]'.format(Ymin, Ymax, np.nanmin(points[:, 1]), np.nanmax(points[:, 1])))
-
-        #boundaries should be fine lets do stuff
-        InX = np.where(np.logical_and(points[:, 0] >= Xmin, points[:, 0] <= Xmax))
-        InY = np.where(np.logical_and(points[:, 1] >= Ymin, points[:, 1] <= Ymax))
-
-        Isinside = np.zeros(np.shape(points)[0], dtype=bool)
-        clip_convert_index = np.nan * np.ones(np.shape(points)[0])
-
-        Inclipping = np.intersect1d(InX, InY)
-        Isinside[Inclipping] = True
-        points = points[Inclipping, :]
-        num_of_points = np.shape(points)[0]
-
-        clipconnect = np.asarray([], dtype=int)
-        for elt in connect:
-            if set(elt).issubset(Inclipping):
-                clipconnect = np.append(clipconnect, elt, axis=0)
-
-        num_of_elt = int(np.size(clipconnect) / 3)
-        connect = clipconnect.reshape(num_of_elt, 3)
-
-        clip_convert_index = np.asarray([[i, np.where(Inclipping == i)[0][0]] for i, val in enumerate(clip_convert_index) if any(Inclipping == i)])
-        enveloppe_index = enveloppe_index[clip_convert_index[:, 0]]
-        for elt in range(0, num_of_elt):
-            try:
-                connect[elt, 0] = clip_convert_index[np.where(clip_convert_index == connect[elt, 0])[0], 1][0]
-            except IndexError:
-                connect[elt, 0] = -1
-            try:
-                connect[elt, 1] = clip_convert_index[np.where(clip_convert_index == connect[elt, 1])[0], 1][0]
-            except IndexError:
-                connect[elt, 1] = -1
-            try:
-                connect[elt, 2] = clip_convert_index[np.where(clip_convert_index == connect[elt, 2])[0], 1][0]
-            except IndexError:
-                connect[elt, 2] = -1
-
-        connect = connect[np.where(connect != -1)[0], :]
-        num_of_elt = np.shape(connect)[0]
+        if kwargs['clipping'] is not None:
+            # first get the boundaries and check them
+            [Xmin, Xmax, Ymin, Ymax] = kwargs['clipping']
+            if Xmin > Xmax:
+                raise ClipError('Xmax ({}) should be larger than Xmin ({})'.format(Xmax, Xmin))
+            if Ymin > Ymax:
+                raise ClipError('Ymax ({}) should be larger than Ymin ({})'.format(Ymax, Ymin))
+            if Xmin > np.nanmax(points[:, 0]) or Xmax < np.nanmin(points[:, 0]):
+                raise ClipError('Your X boundaries [{}, {}] are outside of the model domain [{},{}]'.format(Xmin, Xmax, np.nanmin(points[:, 0]), np.nanmax(points[:, 0])))
+            if Ymin > np.nanmax(points[:, 1]) or Ymax < np.nanmin(points[:, 1]):
+                raise ClipError('Your Y boundaries [{}, {}] are outside of the model domain [{},{}]'.format(Ymin, Ymax, np.nanmin(points[:, 1]), np.nanmax(points[:, 1])))
+
+            #boundaries should be fine lets do stuff
+            InX = np.where(np.logical_and(points[:, 0] >= Xmin, points[:, 0] <= Xmax))
+            InY = np.where(np.logical_and(points[:, 1] >= Ymin, points[:, 1] <= Ymax))
+
+            Isinside = np.zeros(np.shape(points)[0], dtype=bool)
+            clip_convert_index = np.nan * np.ones(np.shape(points)[0])
+
+            Inclipping = np.intersect1d(InX, InY)
+            Isinside[Inclipping] = True
+            points = points[Inclipping, :]
+            num_of_points = np.shape(points)[0]
+
+            clipconnect = np.asarray([], dtype=int)
+            for elt in connect:
+                if set(elt).issubset(Inclipping):
+                    clipconnect = np.append(clipconnect, elt, axis=0)
+
+            num_of_elt = int(np.size(clipconnect) / 3)
+            connect = clipconnect.reshape(num_of_elt, 3)
+
+            clip_convert_index = np.asarray([[i, np.where(Inclipping == i)[0][0]] for i, val in enumerate(clip_convert_index) if any(Inclipping == i)])
+            enveloppe_index = enveloppe_index[clip_convert_index[:, 0]]
+            for elt in range(0, num_of_elt):
+                try:
+                    connect[elt, 0] = clip_convert_index[np.where(clip_convert_index == connect[elt, 0])[0], 1][0]
+                except IndexError:
+                    connect[elt, 0] = -1
+                try:
+                    connect[elt, 1] = clip_convert_index[np.where(clip_convert_index == connect[elt, 1])[0], 1][0]
+                except IndexError:
+                    connect[elt, 1] = -1
+                try:
+                    connect[elt, 2] = clip_convert_index[np.where(clip_convert_index == connect[elt, 2])[0], 1][0]
+                except IndexError:
+                    connect[elt, 2] = -1
+
+            connect = connect[np.where(connect != -1)[0], :]
+            num_of_elt = np.shape(connect)[0]
 
     # }}}