ex-6: add EDM plots

ex-6/plots/edm-round.py

@@ -0,0 +1,40 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+def plot(table, title='', log=False):
+    plt.figure()
+    plt.suptitle(title)
+
+    plt.subplot(211)
+    if log:
+        plt.xscale('log')
+    plt.title('EDM distance' + ' '*10, loc='right')
+
+    plt.plot(table[0], table[1], color='#92182b')
+    plt.tick_params(axis='y', labelcolor='#92182b')
+    plt.ylabel('average', color='#92182b')
+    plt.ticklabel_format(style='sci', axis='y', scilimits=(0, 0))
+
+    twin = plt.twinx()
+    twin.plot(table[0], table[2], color='gray')
+    twin.tick_params(axis='y', labelcolor='gray')
+    twin.set_ylabel('standard deviation', color='gray')
+    twin.ticklabel_format(style='sci', axis='y', scilimits=(0, 0))
+
+    plt.subplot(212)
+    if log:
+        plt.xscale('log')
+    plt.title('skewness', loc='right')
+    plt.xlabel('RL rounds')
+    plt.plot(table[0], table[3], color='xkcd:gray')
+
+
+plt.rcParams['font.size'] = 12
+table = np.loadtxt('ex-6/plots/edm-round.txt')
+
+plot(table[:27].T, title='noiseless', log=True)
+plot(table[27:47].T, title=r'$\sigma=0.005$')
+plot(table[47:67].T, title=r'$\sigma=0.01$')
+plot(table[67:].T, title=r'$\sigma=0.05$')
+plt.show()

ex-6/plots/edm-round.txt

@@ -0,0 +1,92 @@
+#rounds mean stddev skew
+#σ = 0
+   1 2.43e-4 1.3e-5 0.22
+   2 1.67e-4 1.3e-5 0.27
+   3 1.52e-4 1.3e-5 0.29
+   4 1.43e-4 1.3e-5 0.29
+   5 1.36e-4 1.2e-5 0.28
+   6 1.31e-4 1.2e-5 0.29
+   7 1.26e-4 1.2e-5 0.29
+   8 1.22e-4 1.2e-5 0.30
+   9 1.19e-4 1.2e-5 0.31
+  10 1.16e-4 1.2e-5 0.33
+  11 1.13e-4 1.2e-5 0.34
+  12 1.11e-4 1.2e-5 0.34
+  13 1.09e-4 1.2e-5 0.36
+  14 1.07e-4 1.1e-5 0.36
+  15 1.05e-4 1.1e-5 0.36
+  16 1.03e-4 1.1e-5 0.37
+  17 1.01e-4 1.1e-5 0.37
+  18 9.97e-5 1.1e-5 0.37
+  19 9.82e-5 1.1e-5 0.37
+  20 9.68e-5 1.1e-5 0.37
+  40 7.74e-5 1.0e-5 0.35
+  60 6.57e-5 9.4e-6 0.32
+  80 5.78e-5 9.1e-6 0.30
+ 100 5.20e-5 9.0e-6 0.30
+ 400 3.61e-5 1.0e-5 0.33
+ 800 3.60e-5 1.0e-5 0.33
+1600 3.60e-5 1.0e-5 0.33
+#σ=0.005
+ 1 2.92e-04 4.7e-05 1.43
+ 2 2.18e-04 4.7e-05 1.72
+ 3 2.28e-04 4.5e-05 1.73
+ 4 2.12e-04 4.8e-05 1.72
+ 5 2.08e-04 4.8e-05 1.71
+ 6 2.02e-04 4.9e-05 1.69
+ 7 2.05e-04 4.9e-05 1.70
+ 8 2.00e-04 4.9e-05 1.69
+ 9 1.98e-04 5.0e-05 1.68
+10 1.95e-04 5.0e-05 1.67
+11 1.97e-04 5.0e-05 1.68
+12 1.94e-04 5.0e-05 1.67
+13 1.93e-04 5.0e-05 1.67
+14 1.92e-04 5.0e-05 1.67
+15 1.91e-04 5.1e-05 1.66
+16 1.90e-04 5.1e-05 1.66
+17 1.90e-04 5.1e-05 1.66
+18 1.89e-04 5.1e-05 1.66
+19 1.88e-04 5.1e-05 1.66
+20 1.88e-04 5.1e-05 1.66
+#σ = 0.01
+ 1 3.47e-04 1.0e-04 1.58
+ 2 3.96e-04 1.1e-04 1.53
+ 3 3.39e-04 1.1e-04 1.56
+ 4 3.42e-04 1.1e-04 1.57
+ 5 3.34e-04 1.1e-04 1.55
+ 6 3.35e-04 1.1e-04 1.55
+ 7 3.37e-04 1.1e-04 1.55
+ 8 3.33e-04 1.1e-04 1.55
+ 9 3.33e-04 1.1e-04 1.55
+10 3.32e-04 1.1e-04 1.55
+11 3.32e-04 1.1e-04 1.54
+12 3.31e-04 1.1e-04 1.54
+13 3.31e-04 1.1e-04 1.54
+14 3.31e-04 1.1e-04 1.54
+15 3.31e-04 1.1e-04 1.55
+16 3.31e-04 1.1e-04 1.55
+17 3.31e-04 1.1e-04 1.55
+18 3.31e-04 1.1e-04 1.55
+19 3.31e-04 1.1e-04 1.55
+20 3.31e-04 1.1e-04 1.55
+#σ=0.05
+ 1 1.49e-03 5.7e-04 1.38
+ 2 1.51e-03 5.6e-04 1.41
+ 3 1.50e-03 5.7e-04 1.39
+ 4 1.50e-03 5.6e-04 1.40
+ 5 1.52e-03 5.6e-04 1.42
+ 6 1.53e-03 5.6e-04 1.43
+ 7 1.52e-03 5.6e-04 1.43
+ 8 1.51e-03 5.6e-04 1.42
+ 9 1.54e-03 5.5e-04 1.45
+10 1.53e-03 5.5e-04 1.44
+11 1.53e-03 5.5e-04 1.44
+12 1.54e-03 5.5e-04 1.45
+13 1.54e-03 5.5e-04 1.45
+14 1.54e-03 5.5e-04 1.46
+15 1.55e-03 5.5e-04 1.46
+16 1.55e-03 5.5e-04 1.46
+17 1.55e-03 5.5e-04 1.47
+18 1.56e-03 5.5e-04 1.47
+19 1.56e-03 5.4e-04 1.47
+20 1.56e-03 5.4e-04 1.48