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@@ -223,6 +223,7 @@ def fieldplot(fig, ax, x, m, WL, comment='', WL_units=' ', crossplane='XZ',
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# Eabs = np.real(Ec[:, 0])
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# label = r'$Re(E_x)$'
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Eabs_data = np.resize(Eabs, (npts, npts)).T
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+ #Eabs_data = np.flipud(np.resize(Eabs, (npts, npts)))
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elif field_to_plot == 'Habs':
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Habs = np.sqrt(Hr[:, 0]**2 + Hr[:, 1]**2 + Hr[:, 2]**2)
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Eabs_data = np.resize(Habs, (npts, npts)).T
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@@ -259,14 +260,19 @@ def fieldplot(fig, ax, x, m, WL, comment='', WL_units=' ', crossplane='XZ',
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# horizontalalignment='right',
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# verticalalignment='bottom',
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# transform=ax.transAxes)
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- cax = ax.imshow(Eabs_data, interpolation='nearest', cmap=cm.jet,
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+ cax = ax.imshow(Eabs_data
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+ , interpolation='nearest'
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+ #, interpolation='quadric'
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+ , cmap=cm.jet,
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origin='lower', vmin=min_tick, vmax=max_tick, extent=(min(scale_x), max(scale_x), min(scale_z), max(scale_z))
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# ,norm = LogNorm()
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)
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ax.axis("image")
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# Add colorbar
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- cbar = fig.colorbar(cax, ticks=[a for a in scale_ticks], ax=ax)
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+ cbar = fig.colorbar(cax, ticks=[a for a in scale_ticks], ax=ax
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+ #,fraction=0.45
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+ )
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# vertically oriented colorbar
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if 'angle' in field_to_plot:
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cbar.ax.set_yticklabels(['%3.0f' % (a) for a in scale_ticks])
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