more examples of using sequential colormaps for non-negative data, diverging colormaps for bipolar data

endolith · endolith · commit a3ed3ab24c7f · 2012-06-04T11:17:13.000-04:00
diff --git a/examples/pylab_examples/colorbar_tick_labelling_demo.py b/examples/pylab_examples/colorbar_tick_labelling_demo.py
@@ -14,7 +14,7 @@
 
 data = np.clip(randn(250, 250), -1, 1)
 
-cax = ax.imshow(data, interpolation='nearest')
+cax = ax.imshow(data, interpolation='nearest', cmap=cm.coolwarm)
 ax.set_title('Gaussian noise with vertical colorbar')
 
 # Add colorbar, make sure to specify tick locations to match desired ticklabels
@@ -27,7 +27,7 @@
 
 data = np.clip(randn(250, 250), -1, 1)
 
-cax = ax.imshow(data, interpolation='nearest')
+cax = ax.imshow(data, interpolation='nearest', cmap=cm.afmhot)
 ax.set_title('Gaussian noise with horizontal colorbar')
 
 cbar = fig.colorbar(cax, ticks=[-1, 0, 1], orientation='horizontal')
diff --git a/examples/pylab_examples/image_nonuniform.py b/examples/pylab_examples/image_nonuniform.py
@@ -19,15 +19,15 @@
 fig = figure()
 fig.suptitle('NonUniformImage class')
 ax = fig.add_subplot(221)
-im = NonUniformImage(ax, interpolation=interp, extent=(-4,4,-4,4))
+im = NonUniformImage(ax, interpolation=interp, extent=(-4,4,-4,4), cmap=cm.Purples)
 im.set_data(x, y, z)
 ax.images.append(im)
 ax.set_xlim(-4,4)
 ax.set_ylim(-4,4)
 ax.set_title(interp)
 
 ax = fig.add_subplot(222)
-im = NonUniformImage(ax, interpolation=interp, extent=(-64,64,-4,4))
+im = NonUniformImage(ax, interpolation=interp, extent=(-64,64,-4,4), cmap=cm.Purples)
 im.set_data(x2, y, z)
 ax.images.append(im)
 ax.set_xlim(-64,64)
@@ -37,15 +37,15 @@
 interp = 'bilinear'
 
 ax = fig.add_subplot(223)
-im = NonUniformImage(ax, interpolation=interp, extent=(-4,4,-4,4))
+im = NonUniformImage(ax, interpolation=interp, extent=(-4,4,-4,4), cmap=cm.Purples)
 im.set_data(x, y, z)
 ax.images.append(im)
 ax.set_xlim(-4,4)
 ax.set_ylim(-4,4)
 ax.set_title(interp)
 
 ax = fig.add_subplot(224)
-im = NonUniformImage(ax, interpolation=interp, extent=(-64,64,-4,4))
+im = NonUniformImage(ax, interpolation=interp, extent=(-64,64,-4,4), cmap=cm.Purples)
 im.set_data(x2, y, z)
 ax.images.append(im)
 ax.set_xlim(-64,64)
diff --git a/examples/pylab_examples/mri_with_eeg.py b/examples/pylab_examples/mri_with_eeg.py
@@ -22,7 +22,7 @@
 
 if 1: # plot the MRI in pcolor
     subplot(221)
-    imshow(im, cmap=cm.jet)
+    imshow(im, cmap=cm.gray)
     axis('off')
 
 if 1:  # plot the histogram of MRI intensity
diff --git a/examples/pylab_examples/pcolor_log.py b/examples/pylab_examples/pcolor_log.py
@@ -15,11 +15,11 @@
 Z1 = bivariate_normal(X, Y, 0.1, 0.2, 1.0, 1.0) + 0.1*bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
 
 subplot(2,1,1)
-pcolor(X, Y, Z1, norm=LogNorm(vmin=Z1.min(), vmax=Z1.max()))
+pcolor(X, Y, Z1, norm=LogNorm(vmin=Z1.min(), vmax=Z1.max()), cmap=cm.PuBu_r)
 colorbar()
 
 subplot(2,1,2)
-pcolor(X, Y, Z1)
+pcolor(X, Y, Z1, cmap=cm.PuBu_r)
 colorbar()
 
 
diff --git a/examples/pylab_examples/specgram_demo.py b/examples/pylab_examples/specgram_demo.py
@@ -25,5 +25,5 @@
 ax1 = subplot(211)
 plot(t, x)
 subplot(212, sharex=ax1)           
-Pxx, freqs, bins, im = specgram(x, NFFT=NFFT, Fs=Fs, noverlap=900)
+Pxx, freqs, bins, im = specgram(x, NFFT=NFFT, Fs=Fs, noverlap=900, cmap=cm.gist_heat)
 show()
diff --git a/examples/pylab_examples/subplots_adjust.py b/examples/pylab_examples/subplots_adjust.py
@@ -2,9 +2,9 @@
 
 
 subplot(211)
-imshow(rand(100,100))
+imshow(rand(100,100), cmap=cm.BuPu_r)
 subplot(212)
-imshow(rand(100,100))
+imshow(rand(100,100), cmap=cm.BuPu_r)
 
 subplots_adjust(bottom=0.1, right=0.8, top=0.9)
 cax = axes([0.85, 0.1, 0.075, 0.8])
