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@@ -111,10 +111,10 @@ try:
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scale_z = np.linspace(min(coordZ)*1.064/2.0/np.pi/nm, max(coordZ)*1.064/2.0/np.pi/nm, npts)
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# Define scale ticks
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- #min_tick = min(min_tick, np.amin(edata))
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+ # min_tick = min(min_tick, np.amin(edata))
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max_tick = max(max_tick, np.amax(edata))
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# scale_ticks = np.power(10.0, np.linspace(np.log10(min_tick), np.log10(max_tick), 6))
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- scale_ticks = np.linspace(min_tick, max_tick, 6)
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+ scale_ticks = np.linspace(min_tick, max_tick, 12)
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# Interpolation can be 'nearest', 'bilinear' or 'bicubic'
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cax = ax.imshow(edata, interpolation = 'nearest', cmap = cm.jet,
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@@ -125,7 +125,7 @@ try:
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# Add colorbar
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cbar = fig.colorbar(cax, ticks = [a for a in scale_ticks])
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- cbar.ax.set_yticklabels(['%3.1e' % (a) for a in scale_ticks]) # vertically oriented colorbar
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+ cbar.ax.set_yticklabels(['%5.3g' % (a) for a in scale_ticks]) # vertically oriented colorbar
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pos = list(cbar.ax.get_position().bounds)
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fig.text(pos[0] - 0.02, 0.925, '|E|/|E$_0$|', fontsize = 14)
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