style fixes

endolith · endolith · commit 8a810fa410ff · 2012-06-18T11:29:57.000-04:00
diff --git a/examples/mplot3d/contour3d_demo.py b/examples/mplot3d/contour3d_demo.py
@@ -5,7 +5,7 @@
 fig = plt.figure()
 ax = fig.add_subplot(111, projection='3d')
 X, Y, Z = axes3d.get_test_data(0.05)
-cset = ax.contour(X, Y, Z, cmap = cm.coolwarm)
+cset = ax.contour(X, Y, Z, cmap=cm.coolwarm)
 ax.clabel(cset, fontsize=9, inline=1)
 
 plt.show()
diff --git a/examples/mplot3d/contour3d_demo2.py b/examples/mplot3d/contour3d_demo2.py
@@ -5,7 +5,7 @@
 fig = plt.figure()
 ax = fig.gca(projection='3d')
 X, Y, Z = axes3d.get_test_data(0.05)
-cset = ax.contour(X, Y, Z, extend3d=True, cmap = cm.coolwarm)
+cset = ax.contour(X, Y, Z, extend3d=True, cmap=cm.coolwarm)
 ax.clabel(cset, fontsize=9, inline=1)
 
 plt.show()
diff --git a/examples/mplot3d/contour3d_demo3.py b/examples/mplot3d/contour3d_demo3.py
@@ -6,9 +6,9 @@
 ax = fig.gca(projection='3d')
 X, Y, Z = axes3d.get_test_data(0.05)
 ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
-cset = ax.contour(X, Y, Z, zdir='z', offset=-100, cmap = cm.coolwarm)
-cset = ax.contour(X, Y, Z, zdir='x', offset=-40, cmap = cm.coolwarm)
-cset = ax.contour(X, Y, Z, zdir='y', offset=40, cmap = cm.coolwarm)
+cset = ax.contour(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
+cset = ax.contour(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
+cset = ax.contour(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
 
 ax.set_xlabel('X')
 ax.set_xlim(-40, 40)
diff --git a/examples/mplot3d/contourf3d_demo.py b/examples/mplot3d/contourf3d_demo.py
@@ -5,7 +5,7 @@
 fig = plt.figure()
 ax = fig.gca(projection='3d')
 X, Y, Z = axes3d.get_test_data(0.05)
-cset = ax.contourf(X, Y, Z, cmap = cm.coolwarm)
+cset = ax.contourf(X, Y, Z, cmap=cm.coolwarm)
 ax.clabel(cset, fontsize=9, inline=1)
 
 plt.show()
diff --git a/examples/mplot3d/contourf3d_demo2.py b/examples/mplot3d/contourf3d_demo2.py
@@ -11,9 +11,9 @@
 ax = fig.gca(projection='3d')
 X, Y, Z = axes3d.get_test_data(0.05)
 ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
-cset = ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap = cm.coolwarm)
-cset = ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap = cm.coolwarm)
-cset = ax.contourf(X, Y, Z, zdir='y', offset=40, cmap = cm.coolwarm)
+cset = ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
+cset = ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
+cset = ax.contourf(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
 
 ax.set_xlabel('X')
 ax.set_xlim(-40, 40)
diff --git a/examples/pylab_examples/contourf_log.py b/examples/pylab_examples/contourf_log.py
@@ -30,7 +30,7 @@
 
 # Automatic selection of levels works; setting the
 # log locator tells contourf to use a log scale:
-cs = P.contourf(X, Y, z, locator=ticker.LogLocator(), cmap = cm.PuBu_r)
+cs = P.contourf(X, Y, z, locator=ticker.LogLocator(), cmap=cm.PuBu_r)
 
 # Alternatively, you can manually set the levels
 # and the norm:
diff --git a/examples/pylab_examples/griddata_demo.py b/examples/pylab_examples/griddata_demo.py
@@ -16,7 +16,8 @@
 zi = griddata(x,y,z,xi,yi,interp='linear')
 # contour the gridded data, plotting dots at the nonuniform data points.
 CS = plt.contour(xi,yi,zi,15,linewidths=0.5,colors='k')
-CS = plt.contourf(xi,yi,zi,15,cmap=plt.cm.rainbow, vmax=abs(zi).max(), vmin=-abs(zi).max())
+CS = plt.contourf(xi,yi,zi,15,cmap=plt.cm.rainbow, 
+                  vmax=abs(zi).max(), vmin=-abs(zi).max())
 plt.colorbar() # draw colorbar
 # plot data points.
 plt.scatter(x,y,marker='o',c='b',s=5,zorder=10)
diff --git a/examples/pylab_examples/hexbin_demo2.py b/examples/pylab_examples/hexbin_demo2.py
@@ -39,7 +39,8 @@
 gridsize=30
 
 plt.subplot(211)
-plt.hexbin(x,y, C=z, gridsize=gridsize, marginals=True, cmap=plt.cm.RdBu, vmax=abs(z).max(), vmin=-abs(z).max())
+plt.hexbin(x,y, C=z, gridsize=gridsize, marginals=True, cmap=plt.cm.RdBu, 
+           vmax=abs(z).max(), vmin=-abs(z).max())
 plt.axis([xmin, xmax, ymin, ymax])
 cb = plt.colorbar()
 cb.set_label('mean value')
diff --git a/examples/pylab_examples/poormans_contour.py b/examples/pylab_examples/poormans_contour.py
@@ -20,7 +20,8 @@
 
 cmap = cm.get_cmap('PiYG', 11)    # 11 discrete colors
 
-im = imshow(Z, cmap=cmap, interpolation='bilinear', vmax=abs(Z).max(), vmin=-abs(Z).max())
+im = imshow(Z, cmap=cmap, interpolation='bilinear', 
+            vmax=abs(Z).max(), vmin=-abs(Z).max())
 axis('off')
 colorbar()
 
diff --git a/examples/pylab_examples/specgram_demo.py b/examples/pylab_examples/specgram_demo.py
@@ -25,5 +25,6 @@
 ax1 = subplot(211)
 plot(t, x)
 subplot(212, sharex=ax1)           
-Pxx, freqs, bins, im = specgram(x, NFFT=NFFT, Fs=Fs, noverlap=900, cmap=cm.gist_heat)
+Pxx, freqs, bins, im = specgram(x, NFFT=NFFT, Fs=Fs, noverlap=900, 
+                                cmap=cm.gist_heat)
 show()
diff --git a/examples/pylab_examples/tricontour_vs_griddata.py b/examples/pylab_examples/tricontour_vs_griddata.py
@@ -24,7 +24,8 @@
 yi = np.linspace(-2.1,2.1,ngridy)
 zi = griddata(x,y,z,xi,yi,interp='linear')
 plt.contour(xi,yi,zi,15,linewidths=0.5,colors='k')
-plt.contourf(xi,yi,zi,15,cmap=plt.cm.rainbow, norm=plt.normalize(vmax=abs(zi).max(), vmin=-abs(zi).max()))
+plt.contourf(xi,yi,zi,15,cmap=plt.cm.rainbow, 
+             norm=plt.normalize(vmax=abs(zi).max(), vmin=-abs(zi).max()))
 plt.colorbar() # draw colorbar
 plt.plot(x, y, 'ko', ms=3)
 plt.xlim(-2,2)
@@ -37,7 +38,8 @@
 plt.subplot(212)
 triang = tri.Triangulation(x, y)
 plt.tricontour(x, y, z, 15, linewidths=0.5, colors='k')
-plt.tricontourf(x, y, z, 15, cmap=plt.cm.rainbow, norm=plt.normalize(vmax=abs(zi).max(), vmin=-abs(zi).max()))
+plt.tricontourf(x, y, z, 15, cmap=plt.cm.rainbow, 
+                norm=plt.normalize(vmax=abs(zi).max(), vmin=-abs(zi).max()))
 plt.colorbar()
 plt.plot(x, y, 'ko', ms=3)
 plt.xlim(-2,2)
diff --git a/examples/pylab_examples/tripcolor_demo.py b/examples/pylab_examples/tripcolor_demo.py
@@ -35,14 +35,14 @@
 # pcolor plot.
 plt.figure()
 plt.gca().set_aspect('equal')
-plt.tripcolor(triang, z, shading='flat', cmap = plt.cm.rainbow)
+plt.tripcolor(triang, z, shading='flat', cmap=plt.cm.rainbow)
 plt.colorbar()
 plt.title('tripcolor of Delaunay triangulation: flat')
 
 # Illustrate Gouraud shading.
 plt.figure()
 plt.gca().set_aspect('equal')
-plt.tripcolor(triang, z, shading='gouraud', cmap = plt.cm.rainbow)
+plt.tripcolor(triang, z, shading='gouraud', cmap=plt.cm.rainbow)
 plt.colorbar()
 plt.title('tripcolor with Gouraud shading')
 
@@ -96,7 +96,8 @@
 # calculations.
 plt.figure()
 plt.gca().set_aspect('equal')
-plt.tripcolor(x, y, triangles, z, shading='flat', edgecolors='k', cmap = cm.summer)
+plt.tripcolor(x, y, triangles, z, shading='flat', edgecolors='k', 
+              cmap=cm.summer)
 plt.colorbar()
 plt.title('tripcolor of user-specified triangulation')
 plt.xlabel('Longitude (degrees)')
