Captioned appendix figures.

Polished some figures.
Shortened existing figure captions.

python/fig_kernel_sd_perc_appendix.py

@@ -6,13 +6,13 @@ from plot_functions import xlabel, ylabel
 from IPython import embed
 
 # Analysis settings:
-mode = ['thresh_lp', 'full', 'short', 'field'][3]
+mode = ['thresh_lp', 'full', 'short', 'field'][0]
 thresh_path = f'../data/inv/{mode}/thresholds.npz'
 save_path = f'../figures/fig_kernel_sd_perc_{mode}_appendix.pdf'
 
 # Plot settings:
 fig_kwargs = dict(
-    figsize=(32/2.54, 16/2.54),
+    figsize=(32/2.54, 15/2.54),
     nrows=1,
     ncols=1,
     gridspec_kw=dict(
@@ -41,8 +41,8 @@ grid_line_kwargs = dict(
     color='k',
     lw=0.5,
 )
-xlab = '$\\text{multiple of }\\sigma_{k_i}$'
-ylab = '$P\\,(c_i > \\Theta_i)$'
+xlab = '$\\Theta_i\\,[\\text{multiples of }\\sigma_{c_i}]$'
+ylab = '$\\mu_{f_i}\\,\\approx\\,P\\,(c_i > \\Theta_i)$'
 xlab_kwargs = dict(
     y=0,
     fontsize=20,
@@ -55,6 +55,8 @@ ylab_kwargs = dict(
     ha='center',
     va='top',
 )
+xloc = 1
+yloc = 0.25
 
 # Load threshold data:
 data = dict(np.load(thresh_path))
@@ -69,6 +71,8 @@ fig, ax = plt.subplots(**fig_kwargs)
 ax.grid(**grid_line_kwargs)
 ax.set_xlim(factors[0], factors[-1])
 ax.set_ylim(-0.01, 1.01)
+ax.xaxis.set_major_locator(plt.MultipleLocator(xloc))
+ax.yaxis.set_major_locator(plt.MultipleLocator(yloc))
 ylabel(ax, ylab, transform=fig.transFigure, **ylab_kwargs)
 xlabel(ax, xlab, transform=fig.transFigure, **xlab_kwargs)