rebase: no changes

notebooks/Courses/scipy_material.py

@@ -40,14 +40,14 @@ def illustration_confidence_interval(m=46, s=1, alpha=0.05):
 
     ml = (grid[0]+4*ci_low)/5
     pl = (2*pdf(ci_low)+pdf(m))/3
-    plt.annotate(f'${alpha/2*100}\%$',
+    plt.annotate(f'${alpha/2*100}\\%$',
         [ml, .1*pdf(ml)], [ml, pl],
         arrowprops=dict(arrowstyle="->"),
         horizontalalignment='center')
 
     ml1 = (4*m+ci_high)/5
     ml2 = (m+ci_high)/2
-    plt.annotate(f'${(1-alpha)*100:.0f}\%$ prob. mass',
+    plt.annotate(f'${(1-alpha)*100:.0f}\\%$ prob. mass',
         [ml1, pl], [ml2, (pdf(ml2)+pdf(m))/2],
         arrowprops=dict(arrowstyle="->"))
 
@@ -56,7 +56,7 @@ def illustration_confidence_interval(m=46, s=1, alpha=0.05):
         width=line_width, head_length=head_length, linestyle='none')
     t = plt.arrow(ci_high-head_length, height, ci_low-ci_high+2*head_length, 0,
         width=line_width, head_length=head_length, linestyle='none')
-    plt.text(m, height+line_width, f'${(1-alpha)*100:.0f}\%$ confidence interval',
+    plt.text(m, height+line_width, f'${(1-alpha)*100:.0f}\\%$ confidence interval',
         ha='center')
 
     plt.legend(loc='upper left')
@@ -76,7 +76,7 @@ def illustration_onesided_probabilitymass(z, N = stats.norm(0, 1), onesided_pval
     plt.xlim(grid[[0,-1]])
     plt.xlabel('$X$')
     plt.ylabel('probability density')
-    plt.legend([pdf_curve, z_line], ['$\mathcal{N}(0,1)$', '$z$'])
+    plt.legend([pdf_curve, z_line], [r'$\mathcal{N}(0,1)$', '$z$'])
     plt.annotate(f'$\\approx {onesided_pvalue:.2f}$', (1.8, .03), xytext=(2, .13), arrowprops=dict(arrowstyle="->"))
 
 def illustration_t_pdfs():
@@ -121,7 +121,7 @@ def illustration_skewness_kurtosis():
 
     ax = axes[0]
     for sigma, color in zip((.25, .5, 1), colors):
-        ax.plot(grid, skewed_dist(sigma, grid), '-', color=color, label=f'$\sigma={sigma:.2f}$')
+        ax.plot(grid, skewed_dist(sigma, grid), '-', color=color, label=f'$\\sigma={sigma:.2f}$')
 
     ax.axhline(0, linestyle='--', color='grey', linewidth=1)
     ax.set_xlim(grid[[0,-1]])
@@ -159,7 +159,7 @@ def illustration_chi2():
 
     ax.axhline(0, linestyle='--', color='grey', linewidth=1)
     ax.set_xlim(grid[0],grid[-1])
-    ax.set_xlabel('$\chi^2$')
+    ax.set_xlabel(r'$\chi^2$')
     ax.set_ylabel('probability density')
     ax.legend([ f'$df={df}$' for df in dfs ])
 
@@ -169,7 +169,7 @@ def illustration_chi2():
     ax.plot(grid, chi2, '-', color=color)
     ax.axhline(0, linestyle='--', color='grey', linewidth=1)
     ax.set_xlim(grid[0],grid[-1])
-    ax.set_xlabel('$\chi^2$')
+    ax.set_xlabel(r'$\chi^2$')
     ax.set_ylabel('probability density');
 
     A = [85, 86, 88, 75, 78, 94, 98, 79, 71, 80]