matplotlib
diff --git a/‎examples/api/power_norm_demo.py
Copy file name to clipboardExpand all lines: examples/api/power_norm_demo.py
-1Lines changed: 0 additions & 1 deletion b/‎examples/api/power_norm_demo.py
Copy file name to clipboardExpand all lines: examples/api/power_norm_demo.py
-1Lines changed: 0 additions & 1 deletion
diff --git a/‎examples/pylab_examples/pcolor_demo.py
Copy file name to clipboardExpand all lines: examples/pylab_examples/pcolor_demo.py
+5-5Lines changed: 5 additions & 5 deletions b/‎examples/pylab_examples/pcolor_demo.py
Copy file name to clipboardExpand all lines: examples/pylab_examples/pcolor_demo.py
+5-5Lines changed: 5 additions & 5 deletions
diff --git a/‎lib/matplotlib/mpl-data/stylelib/classic.mplstyle
Copy file name to clipboardExpand all lines: lib/matplotlib/mpl-data/stylelib/classic.mplstyle
+1-1Lines changed: 1 addition & 1 deletion b/‎lib/matplotlib/mpl-data/stylelib/classic.mplstyle
Copy file name to clipboardExpand all lines: lib/matplotlib/mpl-data/stylelib/classic.mplstyle
+1-1Lines changed: 1 addition & 1 deletion
@@ -24,5 +24,4 @@
                bins=100, norm=mcolors.PowerNorm(gamma))
 
 plt.subplots_adjust(hspace=0.8)
-plt.savefig("test.png")
 plt.show()
@@ -1,4 +1,4 @@
-"""
+`"""
 Demonstrates similarities between pcolor, pcolormesh, imshow and pcolorfast
 for drawing quadrilateral grids.
 
@@ -20,31 +20,31 @@
 
 
 plt.subplot(2, 2, 1)
-plt.pcolor(x, y, z, vmin=z_min, vmax=z_max)
+plt.pcolor(x, y, z, cmap='RdBu', vmin=z_min, vmax=z_max)
 plt.title('pcolor')
 # set the limits of the plot to the limits of the data
 plt.axis([x.min(), x.max(), y.min(), y.max()])
 plt.colorbar()
 
 
 plt.subplot(2, 2, 2)
-plt.pcolormesh(x, y, z, vmin=z_min, vmax=z_max)
+plt.pcolormesh(x, y, z, cmap='RdBu', vmin=z_min, vmax=z_max)
 plt.title('pcolormesh')
 # set the limits of the plot to the limits of the data
 plt.axis([x.min(), x.max(), y.min(), y.max()])
 plt.colorbar()
 
 
 plt.subplot(2, 2, 3)
-plt.imshow(z, vmin=z_min, vmax=z_max,
+plt.imshow(z, cmap='RdBu', vmin=z_min, vmax=z_max,
            extent=[x.min(), x.max(), y.min(), y.max()],
            interpolation='nearest', origin='lower')
 plt.title('image (nearest)')
 plt.colorbar()
 
 
 ax = plt.subplot(2, 2, 4)
-ax.pcolorfast(x, y, z, vmin=z_min, vmax=z_max)
+ax.pcolorfast(x, y, z, cmap='RdBu', vmin=z_min, vmax=z_max)
 plt.title('pcolorfast')
 plt.colorbar()
 
 
@@ -263,7 +263,7 @@ legend.fancybox      : False  # if True, use a rounded box for the
                               # legend, else a rectangle
 legend.loc           : upper right
 legend.isaxes        : True   # this option is internally ignored
-legend.numpoints     : 1      # the number of points in the legend line
+legend.numpoints     : 2      # the number of points in the legend line
 legend.fontsize      : large
 legend.borderpad     : 0.4    # border whitespace in fontsize units
 legend.markerscale   : 1.0    # the relative size of legend markers vs. original