diff options
Diffstat (limited to 'utils')
| -rw-r--r-- | utils/plot.py | 15 |
1 files changed, 7 insertions, 8 deletions
diff --git a/utils/plot.py b/utils/plot.py index 5a3d1f7..6161cfb 100644 --- a/utils/plot.py +++ b/utils/plot.py @@ -978,7 +978,7 @@ def cmap_discretize(cmap, N): return mpl.colors.LinearSegmentedColormap(cmap.name + "_%d"%N, cdict, 1024) -def get_tax(ax, scale): +def get_tax(ax, scale, ax_labels): ax.set_aspect('equal') # Boundary and Gridlines @@ -991,9 +991,9 @@ def get_tax(ax, scale): # Set Axis labels and Title fontsize = 23 - tax.left_axis_label(r"$f_{\tau}$", fontsize=fontsize+8, offset=0.2, rotation=0) - tax.right_axis_label(r"$f_{\mu}$", fontsize=fontsize+8, offset=0.2, rotation=0) - tax.bottom_axis_label(r"$f_{e}$", fontsize=fontsize+8, position=(0.55, -0.20/2, 0.5), rotation=0) + tax.bottom_axis_label(ax_labels[0], fontsize=fontsize+8, position=(0.55, -0.20/2, 0.5), rotation=0) + tax.right_axis_label(ax_labels[1], fontsize=fontsize+8, offset=0.2, rotation=0) + tax.left_axis_label(ax_labels[2], fontsize=fontsize+8, offset=0.2, rotation=0) # Remove default Matplotlib axis tax.get_axes().axis('off') @@ -1092,7 +1092,7 @@ def heatmap(data, scale, vmin=None, vmax=None, style='triangular'): return vertices -def flavour_contour(frs, ax, nbins, coverage, linewidth=2, color='black'): +def flavour_contour(frs, ax, nbins, coverage, **kwargs): """Plot the flavour contour for a specified coverage.""" # Histogram in flavour space H, b = np.histogramdd( @@ -1155,8 +1155,8 @@ def flavour_contour(frs, ax, nbins, coverage, linewidth=2, color='black'): # Plot ax.plot( - ev_polygon.T[0], ev_polygon.T[1], linewidth=linewidth, color=color, - zorder=2, alpha=0.6, label=r'{0}\%'.format(int(coverage)) + ev_polygon.T[0], ev_polygon.T[1], label=r'{0}\%'.format(int(coverage)), + **kwargs ) ax.scatter(points.T[0], points.T[1], marker='o', s=2, alpha=1, color=color, zorder=3) @@ -1333,4 +1333,3 @@ def plot_source_ternary_1D(data, outfile, outformat, args): for of in outformat: print 'Saving plot as {0}'.format(outfile+'_DIM{0}.'.format(dim)+of) fig.savefig(outfile+'_DIM{0}.'.format(dim)+of, bbox_inches='tight', dpi=150) - |