diff --git a/docs/source/algorithms/Stitch1D-v3.rst b/docs/source/algorithms/Stitch1D-v3.rst
index 9e5cc2db505d8960a11b9bf439acce598a08b4a6..fb8e2ba453167e7af58c6a302c040b7bf9677860 100644
--- a/docs/source/algorithms/Stitch1D-v3.rst
+++ b/docs/source/algorithms/Stitch1D-v3.rst
@@ -166,28 +166,31 @@ Usage
    from mantid.simpleapi import *
    import matplotlib.pyplot as plt
 
-   trans1 = Load('INTER00013463')
-   trans2 = Load('INTER00013464')
-
-   trans1_wav = CreateTransmissionWorkspaceAuto(trans1)
-   trans2_wav = CreateTransmissionWorkspaceAuto(trans2)
-
-   stitched_wav, y = Stitch1D(trans1_wav, trans2_wav, UseManualScaleFactor=True, ManualScaleFactor=0.85)
-
-   # plot the individual and stitched workspaces next to each other
-   fig, axs = plt.subplots(nrows=1, ncols=2, subplot_kw={'projection':'mantid'})
-
-   axs[0].plot(trans1_wav, wkspIndex=0, label=str(trans1_wav))
-   axs[0].plot(trans2_wav, wkspIndex=0, label=str(trans2_wav))
-   axs[0].legend()
-   # use same y scale on both plots
-   ylimits = axs[0].get_ylim()
-   axs[1].plot(stitched_wav, wkspIndex=0, color='k', label='stitched')
-   axs[1].legend()
-   axs[1].set_ylim(ylimits)
-
-   # uncomment the following line to show the plot window
-   #fig.show()
+   try:
+      trans1 = Load('INTER00013463')
+      trans2 = Load('INTER00013464')
+
+      trans1_wav = CreateTransmissionWorkspaceAuto(trans1)
+      trans2_wav = CreateTransmissionWorkspaceAuto(trans2)
+
+      stitched_wav, y = Stitch1D(trans1_wav, trans2_wav, UseManualScaleFactor=True, ManualScaleFactor=0.85)
+
+      # plot the individual and stitched workspaces next to each other
+      fig, axs = plt.subplots(nrows=1, ncols=2, subplot_kw={'projection':'mantid'})
+
+      axs[0].plot(trans1_wav, wkspIndex=0, label=str(trans1_wav))
+      axs[0].plot(trans2_wav, wkspIndex=0, label=str(trans2_wav))
+      axs[0].legend()
+      # use same y scale on both plots
+      ylimits = axs[0].get_ylim()
+      axs[1].plot(stitched_wav, wkspIndex=0, color='k', label='stitched')
+      axs[1].legend()
+      axs[1].set_ylim(ylimits)
+
+      # uncomment the following line to show the plot window
+      #fig.show()
+   except ValueError:
+      print("Cannot load data")
 
 .. categories::