plotopt.py

import matplotlib.pyplot as plt
import numpy as np

plt.switch_backend('agg')

data = [
    [1000, 10, 0.9998352715083713],
    [1000, 20, 0.9999244136040342],
    [1000, 50, 0.9999692776339557],
    [2000, 10, 0.9998231591930655],
    [2000, 20, 0.9999494930518706],
    [2000, 50, 0.9999844344970188],
    [4000, 10, 0.9999500906337729],
    [4000, 20, 0.9999107758362972],
    [4000, 50, 0.9999831333875866],
    [8000, 10, 0.9999908671002634],
    [8000, 20, 0.9999643078714204],
    [8000, 50, 0.9999887215294413],
    [16000, 10, 0.9999448855962229],
    [16000, 20, 0.999994247473523],
    [16000, 50, 0.9999936966569895],
    [32000, 10, 0.9999732694886106],
    [32000, 20, 0.9999947437152163],
    [32000, 50, 0.9999989820124024],
    [64000, 10, 0.9999522241169538],
    [64000, 20, 0.9999795483110671],
    [64000, 50, 0.9999990035996933]
]

data1 = np.array([ [x[0],x[2]] for x in data if x[1] == 10])
data2 = np.array([ [x[0],x[2]] for x in data if x[1] == 20])
data3 = np.array([ [x[0],x[2]] for x in data if x[1] == 50])

plt.semilogx(data1[:, 0], data1[:, 1], marker='.', markersize=10, label=r"$M$ = 10")
plt.semilogx(data2[:, 0], data2[:, 1], marker='.', markersize=10, label=r"$M$ = 20")
plt.semilogx(data3[:, 0], data3[:, 1], marker='.', markersize=10, label=r"$M$ = 50")

plt.ylim((0.9998 , 1))

plt.grid(True)
plt.legend()
plt.savefig("opt.png", dpi=1200)