matplotlib 0.7.4 → 0.7.5

raw patch · 4 files changed

+2/−8 lines, 4 filesPVP: major bump suggested

API removals or changes: PVP suggests a major version bump

API changes (from Hackage documentation)

Files

• matplotlib.cabal +1/−1
• src/Graphics/Matplotlib.hs +0/−4
• src/Graphics/Matplotlib/Internal.hs +0/−1
• test/Spec.hs +1/−2

@@ -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.

@@ -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

@@ -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"

@@ -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