matplotlib
diff --git a/‎doc/users/image_tutorial.rst
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diff --git a/‎lib/matplotlib/pylab.py
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diff --git a/‎lib/mpl_toolkits/tests/test_axes_grid.py
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@@ -203,7 +203,7 @@ Note that you can also change colormaps on existing plot objects using the
 .. sourcecode:: ipython
 
     In [10]: imgplot = plt.imshow(lum_img)
-    In [11]: imgplot.set_cmap('spectral')
+    In [11]: imgplot.set_cmap('nipy_spectral')
 
 .. plot::
 
@@ -213,7 +213,7 @@ Note that you can also change colormaps on existing plot objects using the
         img = mpimg.imread('../_static/stinkbug.png')
         lum_img = img[:, :, 0]
         imgplot = plt.imshow(lum_img)
-        imgplot.set_cmap('spectral')
+        imgplot.set_cmap('nipy_spectral')
 
 .. note::
 
@@ -249,7 +249,7 @@ do that by adding color bars.
             img = mpimg.imread('../_static/stinkbug.png')
             lum_img = img[:, :, 0]
             imgplot = plt.imshow(lum_img)
-            imgplot.set_cmap('spectral')
+            imgplot.set_cmap('nipy_spectral')
             plt.colorbar()
 
 This adds a colorbar to your existing figure.  This won't
 
@@ -121,7 +121,6 @@
   spring - set the default colormap to spring
   summer - set the default colormap to summer
   winter - set the default colormap to winter
-  spectral - set the default colormap to spectral
 
 _Event handling
 
 
@@ -29,7 +29,7 @@ def test_imagegrid_cbar_mode_edge():
                          cbar_mode='edge')
         ax1, ax2, ax3, ax4, = grid
 
-        im1 = ax1.imshow(arr.real, cmap='spectral')
+        im1 = ax1.imshow(arr.real, cmap='nipy_spectral')
         im2 = ax2.imshow(arr.imag, cmap='hot')
         im3 = ax3.imshow(np.abs(arr), cmap='jet')
         im4 = ax4.imshow(np.arctan2(arr.imag, arr.real), cmap='hsv')