More informative legend
@@ -182,7 +182,7 @@ plotFuncs(AgeVaryingRiskPercType.ShareFunc, 0., 200.)
# Create a grid of market resources for the plots
mMin = 0 # Minimum ratio of assets to income to plot
-mMax = 1e3 # Maximum ratio of assets to income to plot
+mMax = 5*1e2 # Maximum ratio of assets to income to plot
mPts = 1000 # Number of points to plot
eevalgrid = np.linspace(0,mMax,mPts) # range of values of assets for the plot
@@ -230,8 +230,8 @@ for rcount in risky_count_grid:
.ShareFuncAdj(eevalgrid),
label = 't = %i' %(a))
- plt.axhline(MS_limit, c='k', ls='--', label = 'M&S Limit')
- plt.axhline(NU_limit, c='k', ls='-.', label = 'Numer. Limit')
+ plt.axhline(NU_limit, c='k', ls='-.', label = 'Exact limit as $m\\rightarrow \\infty$.')
+ plt.axhline(MS_limit, c='k', ls='--', label = 'M&S Limit without returns discretization.')
plt.ylim(0,1.05)
plt.xlim(eevalgrid[0],eevalgrid[-1])
