diff --git a/matplotlib.cabal b/matplotlib.cabal
--- a/matplotlib.cabal
+++ b/matplotlib.cabal
@@ -1,5 +1,5 @@
 name:                matplotlib
-version:             0.7.4
+version:             0.7.5
 synopsis:            Bindings to Matplotlib; a Python plotting library
 description:
     Matplotlib is probably the most full featured plotting library out there.
diff --git a/src/Graphics/Matplotlib.hs b/src/Graphics/Matplotlib.hs
--- a/src/Graphics/Matplotlib.hs
+++ b/src/Graphics/Matplotlib.hs
@@ -222,10 +222,6 @@
 setTeX :: Bool -> Matplotlib
 setTeX b = mp # "plot.rc('text', usetex="# b #")"
 
--- | Enable or disable unicode
-setUnicode :: Bool -> Matplotlib
-setUnicode b = mp # "matplotlib.rcParams['text.latex.unicode'] = " # b
-
 -- * Basic plotting commands
 
 -- | Plot the 'a' and 'b' entries of the data object
diff --git a/src/Graphics/Matplotlib/Internal.hs b/src/Graphics/Matplotlib/Internal.hs
--- a/src/Graphics/Matplotlib/Internal.hs
+++ b/src/Graphics/Matplotlib/Internal.hs
@@ -335,7 +335,6 @@
                      ,"import matplotlib.path as mpath"
                      ,"import matplotlib.patches as mpatches"
                      ,"import matplotlib.pyplot as plot"
-                     ,"import matplotlib.mlab as mlab"
                      ,"import matplotlib.cm as cm"
                      ,"import matplotlib.colors as mcolors"
                      ,"import matplotlib.collections as mcollections"
diff --git a/test/Spec.hs b/test/Spec.hs
--- a/test/Spec.hs
+++ b/test/Spec.hs
@@ -264,7 +264,6 @@
 
 -- | http://matplotlib.org/examples/pylab_examples/tex_unicode_demo.html
 mtex = setTeX True
-  % setUnicode True
   % figure
   % addSubplot 1 1 1
   % plotMapLinear cos 0 1 100
@@ -611,7 +610,7 @@
 mgriddata = readData (x, y, z, xi, yi)
   -- TODO This requires a lot of manual indexing. Next big API change will be to
   -- have references to loaded data.
-  % mp # "data.append(mlab.griddata(data[0], data[1], data[2], data[3], data[4], interp='linear'))"
+  % mp # "data.append(interpolate.griddata((data[0], data[1]), data[2], tuple(np.meshgrid(data[3], data[4])), method='cubic', rescale=True))"
   % mp # "plot.sci(ax.contour(data[3], data[4], data[5], 15, linewidths=0.5, colors='k'))"
   % mp # "plot.sci(ax.contourf(data[3], data[4], data[5], 15, vmax=abs(data[5]).max(), vmin=-abs(data[5]).max()))"
   % colorbar